ALBERT

Description: The final identity and functional properties of a neuron are specified by terminal differentiation genes, which are controlled by specific motifs in compact regulatory regions. To determine how these sequences integrate inputs from transcription factors that specify cell types, we compared the regulatory mechanism of Drosophila Rhodopsin genes that are expressed in subsets of photoreceptors to that of phototransduction genes that are expressed broadly, in all photoreceptors. Both sets of genes share an 11-base pair (bp) activator motif. Broadly expressed genes contain a palindromic version that mediates expression in all photoreceptors. In contrast, each Rhodopsin exhibits characteristic single-bp substitutions that break the symmetry of the palindrome and generate activator or repressor motifs critical for restricting expression to photoreceptor subsets. Sensory neuron subtypes can therefore evolve through single-bp changes in short regulatory motifs, allowing the discrimination of a wide spectrum of stimuli.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Rister, Jens -- Razzaq, Ansa -- Boodram, Pamela -- Desai, Nisha -- Tsanis, Cleopatra -- Chen, Hongtao -- Jukam, David -- Desplan, Claude -- K99EY023995/EY/NEI NIH HHS/ -- R01 EY13010/EY/NEI NIH HHS/ -- New York, N.Y. -- Science. 2015 Dec 4;350(6265):1258-61. doi: 10.1126/science.aab3417.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Developmental Genetics, Department of Biology, New York University, 100 Washington Square East, New York, NY 10003-6688, USA. ; Center for Developmental Genetics, Department of Biology, New York University, 100 Washington Square East, New York, NY 10003-6688, USA. cd38@nyu.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26785491" target="_blank"〉PubMed〈/a〉

Description: Congenital heart disease (CHD) patients have an increased prevalence of extracardiac congenital anomalies (CAs) and risk of neurodevelopmental disabilities (NDDs). Exome sequencing of 1213 CHD parent-offspring trios identified an excess of protein-damaging de novo mutations, especially in genes highly expressed in the developing heart and brain. These mutations accounted for 20% of patients with CHD, NDD, and CA but only 2% of patients with isolated CHD. Mutations altered genes involved in morphogenesis, chromatin modification, and transcriptional regulation, including multiple mutations in RBFOX2, a regulator of mRNA splicing. Genes mutated in other cohorts examined for NDD were enriched in CHD cases, particularly those with coexisting NDD. These findings reveal shared genetic contributions to CHD, NDD, and CA and provide opportunities for improved prognostic assessment and early therapeutic intervention in CHD patients.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Homsy, Jason -- Zaidi, Samir -- Shen, Yufeng -- Ware, James S -- Samocha, Kaitlin E -- Karczewski, Konrad J -- DePalma, Steven R -- McKean, David -- Wakimoto, Hiroko -- Gorham, Josh -- Jin, Sheng Chih -- Deanfield, John -- Giardini, Alessandro -- Porter, George A Jr -- Kim, Richard -- Bilguvar, Kaya -- Lopez-Giraldez, Francesc -- Tikhonova, Irina -- Mane, Shrikant -- Romano-Adesman, Angela -- Qi, Hongjian -- Vardarajan, Badri -- Ma, Lijiang -- Daly, Mark -- Roberts, Amy E -- Russell, Mark W -- Mital, Seema -- Newburger, Jane W -- Gaynor, J William -- Breitbart, Roger E -- Iossifov, Ivan -- Ronemus, Michael -- Sanders, Stephan J -- Kaltman, Jonathan R -- Seidman, Jonathan G -- Brueckner, Martina -- Gelb, Bruce D -- Goldmuntz, Elizabeth -- Lifton, Richard P -- Seidman, Christine E -- Chung, Wendy K -- T32 HL007208/HL/NHLBI NIH HHS/ -- Arthritis Research UK/United Kingdom -- British Heart Foundation/United Kingdom -- Department of Health/United Kingdom -- Howard Hughes Medical Institute/ -- Wellcome Trust/United Kingdom -- New York, N.Y. -- Science. 2015 Dec 4;350(6265):1262-6. doi: 10.1126/science.aac9396.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genetics, Harvard Medical School, Boston, MA, USA. Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA. ; Department of Genetics, Yale University School of Medicine, New Haven, CT, USA. ; Departments of Systems Biology and Biomedical Informatics, Columbia University Medical Center, New York, NY, USA. ; Department of Genetics, Harvard Medical School, Boston, MA, USA. NIHR Cardiovascular Biomedical Research Unit at Royal Brompton & Harefield NHS Foundation and Trust and Imperial College London, London, UK. National Heart & Lung Institute, Imperial College London, London, UK. ; Department of Genetics, Harvard Medical School, Boston, MA, USA. Analytical and Translational Genetics Unit, Massachusetts General Hospital and Harvard Medical School, Boston MA, USA. ; Department of Genetics, Harvard Medical School, Boston, MA, USA. Howard Hughes Medical Institute, Harvard University, Boston, MA, USA. ; Department of Genetics, Harvard Medical School, Boston, MA, USA. ; Department of Cardiology, University College London and Great Ormond Street Hospital, London, UK. ; Department of Pediatrics, University of Rochester Medical Center, The School of Medicine and Dentistry, Rochester, NY, USA. ; Section of Cardiothoracic Surgery, University of Southern California Keck School of Medicine, Los Angeles, CA, USA. ; Department of Genetics, Yale University School of Medicine, New Haven, CT, USA. Yale Center for Genome Analysis, Yale University, New Haven, CT, USA. ; Yale Center for Genome Analysis, Yale University, New Haven, CT, USA. ; Steven and Alexandra Cohen Children's Medical Center of New York, New Hyde Park, NY, USA. ; Departments of Systems Biology and Biomedical Informatics, Columbia University Medical Center, New York, NY, USA. Department of Applied Physics and Applied Mathematics, Columbia University, New York, NY, USA. ; Department of Neurology, Columbia University Medical Center, New York, NY, USA. ; Department of Pediatrics, Columbia University Medical Center, New York, NY, USA. ; Department of Cardiology, Children's Hospital Boston, Boston, MA, USA. ; Division of Pediatric Cardiology, University of Michigan, Ann Arbor, MI, USA. ; Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada. ; Department of Cardiology, Boston Children's Hospital, Boston, MA, USA. ; Department of Pediatric Cardiac Surgery, The Children's Hospital of Philadelphia, Philadelphia, PA, USA. ; Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA. ; Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA. ; Heart Development and Structural Diseases Branch, Division of Cardiovascular Sciences, NHLBI/NIH, Bethesda, MD, USA. ; Department of Genetics, Yale University School of Medicine, New Haven, CT, USA. bruce.gelb@mssm.edu goldmuntz@email.chop.edu martina.brueckner@yale.edu richard.lifton@yale.edu cseidman@genetics.med.harvard.edu wkc15@cumc.columbia.edu. ; Mindich Child Health and Development Institute and Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA. bruce.gelb@mssm.edu goldmuntz@email.chop.edu martina.brueckner@yale.edu richard.lifton@yale.edu cseidman@genetics.med.harvard.edu wkc15@cumc.columbia.edu. ; Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Division of Cardiology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA. bruce.gelb@mssm.edu goldmuntz@email.chop.edu martina.brueckner@yale.edu richard.lifton@yale.edu cseidman@genetics.med.harvard.edu wkc15@cumc.columbia.edu. ; Department of Genetics, Yale University School of Medicine, New Haven, CT, USA. Howard Hughes Medical Institute, Yale University, New Haven, CT, USA. bruce.gelb@mssm.edu goldmuntz@email.chop.edu martina.brueckner@yale.edu richard.lifton@yale.edu cseidman@genetics.med.harvard.edu wkc15@cumc.columbia.edu. ; Department of Genetics, Harvard Medical School, Boston, MA, USA. Howard Hughes Medical Institute, Harvard University, Boston, MA, USA. Cardiovascular Division, Brigham & Women's Hospital, Harvard University, Boston, MA, USA. bruce.gelb@mssm.edu goldmuntz@email.chop.edu martina.brueckner@yale.edu richard.lifton@yale.edu cseidman@genetics.med.harvard.edu wkc15@cumc.columbia.edu. ; Departments of Pediatrics and Medicine, Columbia University Medical Center, New York, NY, USA. bruce.gelb@mssm.edu goldmuntz@email.chop.edu martina.brueckner@yale.edu richard.lifton@yale.edu cseidman@genetics.med.harvard.edu wkc15@cumc.columbia.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26785492" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Alexandrov, Ludmil B -- New York, N.Y. -- Science. 2015 Dec 4;350(6265):1175. doi: 10.1126/science.aad7363.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Theoretical Biology and Biophysics (T-6), Los Alamos National Laboratory, Los Alamos, NM 87545, USA. lba@lanl.gov.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26785464" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Cohen, Jon -- New York, N.Y. -- Science. 2015 Dec 4;350(6265):1186-7. doi: 10.1126/science.350.6265.1186.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26785474" target="_blank"〉PubMed〈/a〉

Description: Research into stem cells and aging aims to understand how stem cells maintain tissue health, what mechanisms ultimately lead to decline in stem cell function with age, and how the regenerative capacity of somatic stem cells can be enhanced to promote healthy aging. Here, we explore the effects of aging on stem cells in different tissues. Recent research has focused on the ways that genetic mutations, epigenetic changes, and the extrinsic environmental milieu influence stem cell functionality over time. We describe each of these three factors, the ways in which they interact, and how these interactions decrease stem cell health over time. We are optimistic that a better understanding of these changes will uncover potential strategies to enhance stem cell function and increase tissue resiliency into old age.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Goodell, Margaret A -- Rando, Thomas A -- P01 AG036695/AG/NIA NIH HHS/ -- R01 AG047820/AG/NIA NIH HHS/ -- R01 AR062185/AR/NIAMS NIH HHS/ -- R37 AG023806/AG/NIA NIH HHS/ -- New York, N.Y. -- Science. 2015 Dec 4;350(6265):1199-204. doi: 10.1126/science.aab3388.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Stem Cells and Regenerative Medicine Center, Center for Cell and Gene Therapy, and Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA. goodell@bcm.edu rando@stanford.edu. ; Glenn Center for the Biology of Aging and Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA, and Center for Regenerative Rehabilitation, Veterans Administration Palo Alto Health Care System, Palo Alto, CA 94304, USA. goodell@bcm.edu rando@stanford.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26785478" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kupferschmidt, Kai -- New York, N.Y. -- Science. 2016 Mar 11;351(6278):1143. doi: 10.1126/science.351.6278.1143.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26965608" target="_blank"〉PubMed〈/a〉

Description: Hundreds of pathways for degradation converge at ubiquitin recognition by a proteasome. Here, we found that the five known proteasomal ubiquitin receptors in yeast are collectively nonessential for ubiquitin recognition and identified a sixth receptor, Rpn1. A site ( T1: ) in the Rpn1 toroid recognized ubiquitin and ubiquitin-like ( UBL: ) domains of substrate shuttling factors. T1 structures with monoubiquitin or lysine 48 diubiquitin show three neighboring outer helices engaging two ubiquitins. T1 contributes a distinct substrate-binding pathway with preference for lysine 48-linked chains. Proximal to T1 within the Rpn1 toroid is a second UBL-binding site ( T2: ) that assists in ubiquitin chain disassembly, by binding the UBL of deubiquitinating enzyme Ubp6. Thus, a two-site recognition domain intrinsic to the proteasome uses distinct ubiquitin-fold ligands to assemble substrates, shuttling factors, and a deubiquitinating enzyme.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Shi, Yuan -- Chen, Xiang -- Elsasser, Suzanne -- Stocks, Bradley B -- Tian, Geng -- Lee, Byung-Hoon -- Shi, Yanhong -- Zhang, Naixia -- de Poot, Stefanie A H -- Tuebing, Fabian -- Sun, Shuangwu -- Vannoy, Jacob -- Tarasov, Sergey G -- Engen, John R -- Finley, Daniel -- Walters, Kylie J -- New York, N.Y. -- Science. 2016 Feb 19;351(6275). pii: aad9421. doi: 10.1126/science.aad9421.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Cell Biology, Harvard Medical School, 240 Longwood Avenue, Boston, MA 02115, USA. ; Protein Processing Section, Structural Biophysics Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, MD 21702, USA. ; Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA 02115, USA. ; Protein Processing Section, Structural Biophysics Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, MD 21702, USA. Department of Analytical Chemistry, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, P. R. China. ; Department of Analytical Chemistry, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, P. R. China. ; Protein Processing Section, Structural Biophysics Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, MD 21702, USA. Linganore High School, Frederick, MD 21701, USA. ; Biophysics Resource, Structural Biophysics Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, MD 21702, USA. ; Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA 02115, USA. j.engen@neu.edu kylie.walters@nih.gov daniel_finley@hms.harvard.edu. ; Department of Cell Biology, Harvard Medical School, 240 Longwood Avenue, Boston, MA 02115, USA. j.engen@neu.edu kylie.walters@nih.gov daniel_finley@hms.harvard.edu. ; Protein Processing Section, Structural Biophysics Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, MD 21702, USA. j.engen@neu.edu kylie.walters@nih.gov daniel_finley@hms.harvard.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26912900" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Couzin-Frankel, Jennifer -- New York, N.Y. -- Science. 2016 Jan 29;351(6272):440-3. doi: 10.1126/science.351.6272.440.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26823410" target="_blank"〉PubMed〈/a〉

Description: As tumors grow, they acquire mutations, some of which create neoantigens that influence the response of patients to immune checkpoint inhibitors. We explored the impact of neoantigen intratumor heterogeneity (ITH) on antitumor immunity. Through integrated analysis of ITH and neoantigen burden, we demonstrate a relationship between clonal neoantigen burden and overall survival in primary lung adenocarcinomas. CD8(+)tumor-infiltrating lymphocytes reactive to clonal neoantigens were identified in early-stage non-small cell lung cancer and expressed high levels of PD-1. Sensitivity to PD-1 and CTLA-4 blockade in patients with advanced NSCLC and melanoma was enhanced in tumors enriched for clonal neoantigens. T cells recognizing clonal neoantigens were detectable in patients with durable clinical benefit. Cytotoxic chemotherapy-induced subclonal neoantigens, contributing to an increased mutational load, were enriched in certain poor responders. These data suggest that neoantigen heterogeneity may influence immune surveillance and support therapeutic developments targeting clonal neoantigens.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉McGranahan, Nicholas -- Furness, Andrew J S -- Rosenthal, Rachel -- Ramskov, Sofie -- Lyngaa, Rikke -- Saini, Sunil Kumar -- Jamal-Hanjani, Mariam -- Wilson, Gareth A -- Birkbak, Nicolai J -- Hiley, Crispin T -- Watkins, Thomas B K -- Shafi, Seema -- Murugaesu, Nirupa -- Mitter, Richard -- Akarca, Ayse U -- Linares, Joseph -- Marafioti, Teresa -- Henry, Jake Y -- Van Allen, Eliezer M -- Miao, Diana -- Schilling, Bastian -- Schadendorf, Dirk -- Garraway, Levi A -- Makarov, Vladimir -- Rizvi, Naiyer A -- Snyder, Alexandra -- Hellmann, Matthew D -- Merghoub, Taha -- Wolchok, Jedd D -- Shukla, Sachet A -- Wu, Catherine J -- Peggs, Karl S -- Chan, Timothy A -- Hadrup, Sine R -- Quezada, Sergio A -- Swanton, Charles -- 12100/Cancer Research UK/United Kingdom -- 1R01CA155010-02/CA/NCI NIH HHS/ -- 1R01CA182461-01/CA/NCI NIH HHS/ -- 1R01CA184922-01/CA/NCI NIH HHS/ -- Cancer Research UK/United Kingdom -- New York, N.Y. -- Science. 2016 Mar 25;351(6280):1463-9. doi: 10.1126/science.aaf1490. Epub 2016 Mar 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Francis Crick Institute, London WC2A 3LY, UK. Centre for Mathematics and Physics in the Life Sciences and Experimental Biology (CoMPLEX), University College London (UCL), London WC1E 6BT, UK. Cancer Research UK Lung Cancer Centre of Excellence, UCL Cancer Institute, London WC1E 6BT, UK. ; Cancer Research UK Lung Cancer Centre of Excellence, UCL Cancer Institute, London WC1E 6BT, UK. Cancer Immunology Unit, UCL Cancer Institute, UCL, London WC1E 6BT, UK. ; Cancer Research UK Lung Cancer Centre of Excellence, UCL Cancer Institute, London WC1E 6BT, UK. ; Section for Immunology and Vaccinology, National Veterinary Institute, Technical University of Denmark, 1970 Frederiksberg C, Denmark. ; The Francis Crick Institute, London WC2A 3LY, UK. Cancer Research UK Lung Cancer Centre of Excellence, UCL Cancer Institute, London WC1E 6BT, UK. ; The Francis Crick Institute, London WC2A 3LY, UK. ; Cancer Immunology Unit, UCL Cancer Institute, UCL, London WC1E 6BT, UK. Department of Cellular Pathology, UCL, London WC1E 6BT, UK. ; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA. Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. Center for Cancer Precision Medicine, Dana-Farber Cancer Institute, Boston, MA 02215, USA. ; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA. Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. ; Department of Dermatology, University Hospital, University Duisburg-Essen, 45147 Essen, Germany. German Cancer Consortium (DKTK), 69121 Heidelberg, Germany. ; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. ; Hematology/Oncology Division, 177 Fort Washington Avenue, Columbia University, New York, NY 10032, USA. ; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. Weill Cornell Medical College, New York, NY 10065, USA. ; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. Ludwig Collaborative Laboratory, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. ; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. Weill Cornell Medical College, New York, NY 10065, USA. Ludwig Collaborative Laboratory, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. ; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA. Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. Department of Medicine, Harvard Medical School, Boston, MA 02115, USA. Department of Internal Medicine, Brigham and Woman's Hospital, Boston, MA 02115, USA. ; Cancer Research UK Lung Cancer Centre of Excellence, UCL Cancer Institute, London WC1E 6BT, UK. Cancer Immunology Unit, UCL Cancer Institute, UCL, London WC1E 6BT, UK. s.quezada@ucl.ac.uk charles.swanton@crick.ac.uk. ; The Francis Crick Institute, London WC2A 3LY, UK. Cancer Research UK Lung Cancer Centre of Excellence, UCL Cancer Institute, London WC1E 6BT, UK. s.quezada@ucl.ac.uk charles.swanton@crick.ac.uk.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26940869" target="_blank"〉PubMed〈/a〉

Description: Brazil has experienced an unprecedented epidemic of Zika virus (ZIKV), with ~30,000 cases reported to date. ZIKV was first detected in Brazil in May 2015, and cases of microcephaly potentially associated with ZIKV infection were identified in November 2015. We performed next-generation sequencing to generate seven Brazilian ZIKV genomes sampled from four self-limited cases, one blood donor, one fatal adult case, and one newborn with microcephaly and congenital malformations. Results of phylogenetic and molecular clock analyses show a single introduction of ZIKV into the Americas, which we estimated to have occurred between May and December 2013, more than 12 months before the detection of ZIKV in Brazil. The estimated date of origin coincides with an increase in air passengers to Brazil from ZIKV-endemic areas, as well as with reported outbreaks in the Pacific Islands. ZIKV genomes from Brazil are phylogenetically interspersed with those from other South American and Caribbean countries. Mapping mutations onto existing structural models revealed the context of viral amino acid changes present in the outbreak lineage; however, no shared amino acid changes were found among the three currently available virus genomes from microcephaly cases. Municipality-level incidence data indicate that reports of suspected microcephaly in Brazil best correlate with ZIKV incidence around week 17 of pregnancy, although this correlation does not demonstrate causation. Our genetic description and analysis of ZIKV isolates in Brazil provide a baseline for future studies of the evolution and molecular epidemiology of this emerging virus in the Americas.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Faria, Nuno Rodrigues -- Azevedo, Raimunda do Socorro da Silva -- Kraemer, Moritz U G -- Souza, Renato -- Cunha, Mariana Sequetin -- Hill, Sarah C -- Theze, Julien -- Bonsall, Michael B -- Bowden, Thomas A -- Rissanen, Ilona -- Rocco, Iray Maria -- Nogueira, Juliana Silva -- Maeda, Adriana Yurika -- Vasami, Fernanda Giseli da Silva -- Macedo, Fernando Luiz de Lima -- Suzuki, Akemi -- Rodrigues, Sueli Guerreiro -- Cruz, Ana Cecilia Ribeiro -- Nunes, Bruno Tardeli -- Medeiros, Daniele Barbosa de Almeida -- Rodrigues, Daniela Sueli Guerreiro -- Nunes Queiroz, Alice Louize -- da Silva, Eliana Vieira Pinto -- Henriques, Daniele Freitas -- Travassos da Rosa, Elisabeth Salbe -- de Oliveira, Consuelo Silva -- Martins, Livia Caricio -- Vasconcelos, Helena Baldez -- Casseb, Livia Medeiros Neves -- Simith, Darlene de Brito -- Messina, Jane P -- Abade, Leandro -- Lourenco, Jose -- Carlos Junior Alcantara, Luiz -- de Lima, Maricelia Maia -- Giovanetti, Marta -- Hay, Simon I -- de Oliveira, Rodrigo Santos -- Lemos, Poliana da Silva -- de Oliveira, Layanna Freitas -- de Lima, Clayton Pereira Silva -- da Silva, Sandro Patroca -- de Vasconcelos, Janaina Mota -- Franco, Luciano -- Cardoso, Jedson Ferreira -- Vianez-Junior, Joao Lidio da Silva Goncalves -- Mir, Daiana -- Bello, Gonzalo -- Delatorre, Edson -- Khan, Kamran -- Creatore, Marisa -- Coelho, Giovanini Evelim -- de Oliveira, Wanderson Kleber -- Tesh, Robert -- Pybus, Oliver G -- Nunes, Marcio R T -- Vasconcelos, Pedro F C -- 090532/Z/09/Z/Wellcome Trust/United Kingdom -- 095066/Wellcome Trust/United Kingdom -- 102427/Wellcome Trust/United Kingdom -- MR/L009528/1/Medical Research Council/United Kingdom -- R24 AT 120942/AT/NCCIH NIH HHS/ -- New York, N.Y. -- Science. 2016 Apr 15;352(6283):345-9. doi: 10.1126/science.aaf5036. Epub 2016 Mar 24.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Technological Innovation, Evandro Chagas Institute, Ministry of Health, Ananindeua, PA 67030-000, Brazil. Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK. ; Department of Arbovirology and Hemorrhagic Fevers, Evandro Chagas Institute, Ministry of Health, Ananindeua, Para State, Brazil. ; Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK. ; Instituto Adolfo Lutz, University of Sao Paulo, Sao Paulo, Brazil. ; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK. ; Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK. Metabiota, San Francisco, CA 94104, USA. ; Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Bahia, Brazil. ; Centre of Post Graduation in Collective Health, Department of Health, Universidade Estadual de Feira de Santana, Feira de Santana, Bahia, Brazil. ; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA 98121, USA. Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK. ; Center for Technological Innovation, Evandro Chagas Institute, Ministry of Health, Ananindeua, PA 67030-000, Brazil. ; Laboratorio de AIDS and Imunologia Molecular, Instituto Oswaldo Cruz, FIOCRUZ, Rio de Janeiro, Brazil. ; Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada. Department of Medicine, Division of Infectious Diseases, University of Toronto, Toronto, Ontario, Canada. ; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada. ; Brazilian Ministry of Health, Brasilia, Brazil. ; Department of Pathology, University of Texas Medical Branch, Galveston, TX 77555, USA. ; Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK. Metabiota, San Francisco, CA 94104, USA. oliver.pybus@zoo.ox.ac.uk marcionunesbrasil@yahoo.com.br pedrovasconcelos@iec.pa.gov.br. ; Center for Technological Innovation, Evandro Chagas Institute, Ministry of Health, Ananindeua, PA 67030-000, Brazil. Department of Pathology, University of Texas Medical Branch, Galveston, TX 77555, USA. oliver.pybus@zoo.ox.ac.uk marcionunesbrasil@yahoo.com.br pedrovasconcelos@iec.pa.gov.br. ; Department of Arbovirology and Hemorrhagic Fevers, Evandro Chagas Institute, Ministry of Health, Ananindeua, Para State, Brazil. oliver.pybus@zoo.ox.ac.uk marcionunesbrasil@yahoo.com.br pedrovasconcelos@iec.pa.gov.br.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27013429" target="_blank"〉PubMed〈/a〉

Description: Drug resistance compromises control of malaria. Here, we show that resistance to a commonly used antimalarial medication, atovaquone, is apparently unable to spread. Atovaquone pressure selects parasites with mutations in cytochrome b, a respiratory protein with low but essential activity in the mammalian blood phase of the parasite life cycle. Resistance mutations rescue parasites from the drug but later prove lethal in the mosquito phase, where parasites require full respiration. Unable to respire efficiently, resistant parasites fail to complete mosquito development, arresting their life cycle. Because cytochrome b is encoded by the maternally inherited parasite mitochondrion, even outcrossing with wild-type strains cannot facilitate spread of resistance. Lack of transmission suggests that resistance will be unable to spread in the field, greatly enhancing the utility of atovaquone in malaria control.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Goodman, Christopher D -- Siregar, Josephine E -- Mollard, Vanessa -- Vega-Rodriguez, Joel -- Syafruddin, Din -- Matsuoka, Hiroyuki -- Matsuzaki, Motomichi -- Toyama, Tomoko -- Sturm, Angelika -- Cozijnsen, Anton -- Jacobs-Lorena, Marcelo -- Kita, Kiyoshi -- Marzuki, Sangkot -- McFadden, Geoffrey I -- AI031478/AI/NIAID NIH HHS/ -- RR00052/RR/NCRR NIH HHS/ -- New York, N.Y. -- Science. 2016 Apr 15;352(6283):349-53. doi: 10.1126/science.aad9279.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉School of BioSciences, University of Melbourne, Melbourne, VIC 3010, Australia. gim@unimelb.edu.au deang@unimelb.edu.au. ; School of BioSciences, University of Melbourne, Melbourne, VIC 3010, Australia. Eijkman Institute for Molecular Biology, JI Diponegoro no. 69, Jakarta, 10430, Indonesia. Department of Biomedical Chemistry, Graduate School of Medicine, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan. ; School of BioSciences, University of Melbourne, Melbourne, VIC 3010, Australia. ; Johns Hopkins University Bloomberg School of Public Health, Department of Molecular Microbiology and Immunology, Malaria Research Institute, Baltimore, MD 21205, USA. ; Eijkman Institute for Molecular Biology, JI Diponegoro no. 69, Jakarta, 10430, Indonesia. Department of Parasitology, Faculty of Medicine, Hasanuddin University, Jalan Perintis Kemerdekaan Km10, Makassar 90245, Indonesia. ; Division of Medical Zoology, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke, Tochigi 329-0498, Japan. ; Department of Biomedical Chemistry, Graduate School of Medicine, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan. ; Department of Biomedical Chemistry, Graduate School of Medicine, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan. School of Tropical Medicine and Global Health, Nagasaki University, Sakamoto, Nagasaki 852-8523, Japan. ; Eijkman Institute for Molecular Biology, JI Diponegoro no. 69, Jakarta, 10430, Indonesia.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27081071" target="_blank"〉PubMed〈/a〉

Description: Oncogenes are activated through well-known chromosomal alterations such as gene fusion, translocation, and focal amplification. In light of recent evidence that the control of key genes depends on chromosome structures called insulated neighborhoods, we investigated whether proto-oncogenes occur within these structures and whether oncogene activation can occur via disruption of insulated neighborhood boundaries in cancer cells. We mapped insulated neighborhoods in T cell acute lymphoblastic leukemia (T-ALL) and found that tumor cell genomes contain recurrent microdeletions that eliminate the boundary sites of insulated neighborhoods containing prominent T-ALL proto-oncogenes. Perturbation of such boundaries in nonmalignant cells was sufficient to activate proto-oncogenes. Mutations affecting chromosome neighborhood boundaries were found in many types of cancer. Thus, oncogene activation can occur via genetic alterations that disrupt insulated neighborhoods in malignant cells.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Hnisz, Denes -- Weintraub, Abraham S -- Day, Daniel S -- Valton, Anne-Laure -- Bak, Rasmus O -- Li, Charles H -- Goldmann, Johanna -- Lajoie, Bryan R -- Fan, Zi Peng -- Sigova, Alla A -- Reddy, Jessica -- Borges-Rivera, Diego -- Lee, Tong Ihn -- Jaenisch, Rudolf -- Porteus, Matthew H -- Dekker, Job -- Young, Richard A -- AI120766/AI/NIAID NIH HHS/ -- CA109901/CA/NCI NIH HHS/ -- HG002668/HG/NHGRI NIH HHS/ -- MH104610/MH/NIMH NIH HHS/ -- NS088538/NS/NINDS NIH HHS/ -- R01 GM 112720/GM/NIGMS NIH HHS/ -- R01 HG002668/HG/NHGRI NIH HHS/ -- R01 HG003143/HG/NHGRI NIH HHS/ -- R01 MH104610/MH/NIMH NIH HHS/ -- U01 DA 040588/DA/NIDA NIH HHS/ -- U01 HG007910/HG/NHGRI NIH HHS/ -- U01 R01 AI 117839/AI/NIAID NIH HHS/ -- U54 CA193419/CA/NCI NIH HHS/ -- U54 DK107980/DK/NIDDK NIH HHS/ -- U54 HG007010/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2016 Mar 25;351(6280):1454-8. doi: 10.1126/science.aad9024. Epub 2016 Mar 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA. ; Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA. Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. ; Program in Systems Biology, Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA 01605, USA. ; Department of Pediatrics, Stanford University, Stanford, CA, USA. ; Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA. Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. ; Program in Systems Biology, Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA 01605, USA. Howard Hughes Medical Institute. ; Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA. Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. young@wi.mit.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26940867" target="_blank"〉PubMed〈/a〉

Description: Sequencing of exomes and genomes has revealed abundant genetic variation affecting the coding sequences of human transcription factors (TFs), but the consequences of such variation remain largely unexplored. We developed a computational, structure-based approach to evaluate TF variants for their impact on DNA binding activity and used universal protein-binding microarrays to assay sequence-specific DNA binding activity across 41 reference and 117 variant alleles found in individuals of diverse ancestries and families with Mendelian diseases. We found 77 variants in 28 genes that affect DNA binding affinity or specificity and identified thousands of rare alleles likely to alter the DNA binding activity of human sequence-specific TFs. Our results suggest that most individuals have unique repertoires of TF DNA binding activities, which may contribute to phenotypic variation.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4825693/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4825693/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Barrera, Luis A -- Vedenko, Anastasia -- Kurland, Jesse V -- Rogers, Julia M -- Gisselbrecht, Stephen S -- Rossin, Elizabeth J -- Woodard, Jaie -- Mariani, Luca -- Kock, Kian Hong -- Inukai, Sachi -- Siggers, Trevor -- Shokri, Leila -- Gordan, Raluca -- Sahni, Nidhi -- Cotsapas, Chris -- Hao, Tong -- Yi, Song -- Kellis, Manolis -- Daly, Mark J -- Vidal, Marc -- Hill, David E -- Bulyk, Martha L -- P50 HG004233/HG/NHGRI NIH HHS/ -- R01 HG003985/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2016 Mar 25;351(6280):1450-4. doi: 10.1126/science.aad2257. Epub 2016 Mar 24.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. Committee on Higher Degrees in Biophysics, Harvard University, Cambridge, MA 02138, USA. Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA. Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. ; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. ; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. Committee on Higher Degrees in Biophysics, Harvard University, Cambridge, MA 02138, USA. ; Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA. Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. ; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. Program in Biological and Biomedical Sciences, Harvard University, Cambridge, MA 02138, USA. ; Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA. Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA. Department of Genetics, Harvard Medical School, Boston, MA 02115, USA. ; Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. ; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. ; Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. Center for Human Genetics Research and Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA 02114, USA. ; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. Committee on Higher Degrees in Biophysics, Harvard University, Cambridge, MA 02138, USA. Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. Program in Biological and Biomedical Sciences, Harvard University, Cambridge, MA 02138, USA. Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA. Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27013732" target="_blank"〉PubMed〈/a〉

Description: Antibiotic treatment has two conflicting effects: the desired, immediate effect of inhibiting bacterial growth and the undesired, long-term effect of promoting the evolution of resistance. Although these contrasting outcomes seem inextricably linked, recent work has revealed several ways by which antibiotics can be combined to inhibit bacterial growth while, counterintuitively, selecting against resistant mutants. Decoupling treatment efficacy from the risk of resistance can be achieved by exploiting specific interactions between drugs, and the ways in which resistance mutations to a given drug can modulate these interactions or increase the sensitivity of the bacteria to other compounds. Although their practical application requires much further development and validation, and relies on advances in genomic diagnostics, these discoveries suggest novel paradigms that may restrict or even reverse the evolution of resistance.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Baym, Michael -- Stone, Laura K -- Kishony, Roy -- R01-GM081617/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2016 Jan 1;351(6268):aad3292. doi: 10.1126/science.aad3292.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Systems Biology, Harvard Medical School, Boston, MA, USA. ; Department of Systems Biology, Harvard Medical School, Boston, MA, USA. Department of Biology and Department of Computer Science, Technion - Israel Institute of Technology, Haifa, Israel. rkishony@technion.ac.il.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26722002" target="_blank"〉PubMed〈/a〉

Description: Induction of broadly neutralizing antibodies (bnAbs) is a major HIV vaccine goal. Germline-targeting immunogens aim to initiate bnAb induction by activating bnAb germline precursor B cells. Critical unmet challenges are to determine whether bnAb precursor naive B cells bind germline-targeting immunogens and occur at sufficient frequency in humans for reliable vaccine responses. Using deep mutational scanning and multitarget optimization, we developed a germline-targeting immunogen (eOD-GT8) for diverse VRC01-class bnAbs. We then used the immunogen to isolate VRC01-class precursor naive B cells from HIV-uninfected donors. Frequencies of true VRC01-class precursors, their structures, and their eOD-GT8 affinities support this immunogen as a candidate human vaccine prime. These methods could be applied to germline targeting for other classes of HIV bnAbs and for Abs to other pathogens.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4872700/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4872700/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Jardine, Joseph G -- Kulp, Daniel W -- Havenar-Daughton, Colin -- Sarkar, Anita -- Briney, Bryan -- Sok, Devin -- Sesterhenn, Fabian -- Ereno-Orbea, June -- Kalyuzhniy, Oleksandr -- Deresa, Isaiah -- Hu, Xiaozhen -- Spencer, Skye -- Jones, Meaghan -- Georgeson, Erik -- Adachi, Yumiko -- Kubitz, Michael -- deCamp, Allan C -- Julien, Jean-Philippe -- Wilson, Ian A -- Burton, Dennis R -- Crotty, Shane -- Schief, William R -- P01 AI094419/AI/NIAID NIH HHS/ -- P01 AI110657/AI/NIAID NIH HHS/ -- P41GM103393/GM/NIGMS NIH HHS/ -- R01 AI084817/AI/NIAID NIH HHS/ -- UM1 AI100663/AI/NIAID NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2016 Mar 25;351(6280):1458-63. doi: 10.1126/science.aad9195.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, CA 92037, USA. IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA. Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA. ; Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA. Division of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, La Jolla, CA 92037, USA. ; IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA. Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA. Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA. ; Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, CA 92037, USA. ; Program in Molecular Structure and Function, Hospital for Sick Children Research Institute, Toronto, Ontario M5G 0A4, Canada. ; Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, CA 92037, USA. Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA. ; Vaccine and Infectious Disease Division, Statistical Center for HIV/AIDS Research and Prevention (SCHARP), Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. ; IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA. Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA. Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA. Program in Molecular Structure and Function, Hospital for Sick Children Research Institute, Toronto, Ontario M5G 0A4, Canada. Departments of Biochemistry and Immunology, University of Toronto, Toronto, Ontario M5S 1A8, Canada. ; IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA. Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA. Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA. Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA 92037, USA. ; Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, CA 92037, USA. IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA. Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA. Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA 02129, USA. ; Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA. Division of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, La Jolla, CA 92037, USA. Division of Infectious Diseases, Department of Medicine, University of California San Diego School of Medicine, La Jolla, CA, USA. schief@scripps.edu shane@lji.org. ; Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, CA 92037, USA. IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA. Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA. Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA 02129, USA. schief@scripps.edu shane@lji.org.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27013733" target="_blank"〉PubMed〈/a〉

Description: The lung is constantly exposed to environmental atmospheric cues. How it senses and responds to these cues is poorly defined. Here, we show that Roundabout receptor (Robo) genes are expressed in pulmonary neuroendocrine cells (PNECs), a rare, innervated epithelial population. Robo inactivation in mouse lung results in an inability of PNECs to cluster into sensory organoids and triggers increased neuropeptide production upon exposure to air. Excess neuropeptides lead to an increase in immune infiltrates, which in turn remodel the matrix and irreversibly simplify the alveoli. We demonstrate in vivo that PNECs act as precise airway sensors that elicit immune responses via neuropeptides. These findings suggest that the PNEC and neuropeptide abnormalities documented in a wide array of pulmonary diseases may profoundly affect symptoms and progression.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Branchfield, Kelsey -- Nantie, Leah -- Verheyden, Jamie M -- Sui, Pengfei -- Wienhold, Mark D -- Sun, Xin -- 5T32AI007635/AI/NIAID NIH HHS/ -- HL097134/HL/NHLBI NIH HHS/ -- HL122406/HL/NHLBI NIH HHS/ -- R01 HL113870/HL/NHLBI NIH HHS/ -- T32 GM007133/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2016 Feb 12;351(6274):707-10. doi: 10.1126/science.aad7969. Epub 2016 Jan 7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Laboratory of Genetics, Department of Medical Genetics, University of Wisconsin-Madison, Madison, WI 53706, USA. ; Department of Pediatrics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53706, USA. ; Laboratory of Genetics, Department of Medical Genetics, University of Wisconsin-Madison, Madison, WI 53706, USA. xsun@wisc.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26743624" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Roberts, Leslie -- New York, N.Y. -- Science. 2016 Apr 22;352(6284):403. doi: 10.1126/science.352.6284.403. Epub 2016 Apr 21.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27102460" target="_blank"〉PubMed〈/a〉

Description: The "cancerized field" concept posits that cancer-prone cells in a given tissue share an oncogenic mutation, but only discreet clones within the field initiate tumors. Most benign nevi carry oncogenic BRAF(V600E) mutations but rarely become melanoma. The zebrafish crestin gene is expressed embryonically in neural crest progenitors (NCPs) and specifically reexpressed in melanoma. Live imaging of transgenic zebrafish crestin reporters shows that within a cancerized field (BRAF(V600E)-mutant; p53-deficient), a single melanocyte reactivates the NCP state, revealing a fate change at melanoma initiation in this model. NCP transcription factors, including sox10, regulate crestin expression. Forced sox10 overexpression in melanocytes accelerated melanoma formation, which is consistent with activation of NCP genes and super-enhancers leading to melanoma. Our work highlights NCP state reemergence as a key event in melanoma initiation.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kaufman, Charles K -- Mosimann, Christian -- Fan, Zi Peng -- Yang, Song -- Thomas, Andrew J -- Ablain, Julien -- Tan, Justin L -- Fogley, Rachel D -- van Rooijen, Ellen -- Hagedorn, Elliott J -- Ciarlo, Christie -- White, Richard M -- Matos, Dominick A -- Puller, Ann-Christin -- Santoriello, Cristina -- Liao, Eric C -- Young, Richard A -- Zon, Leonard I -- HG002668/HG/NHGRI NIH HHS/ -- K08 AR061071/AR/NIAMS NIH HHS/ -- R01 CA103846/CA/NCI NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2016 Jan 29;351(6272):aad2197. doi: 10.1126/science.aad2197. Epub 2016 Jan 28.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Stem Cell Program and Division of Hematology/Oncology, Children's Hospital Boston, Howard Hughes Medical Institute, Boston, MA 02115, USA. Harvard Stem Cell Institute, Boston, MA 02115, USA. Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA. Harvard Medical School, Boston, MA 02115, USA. ; Institute of Molecular Life Sciences, University of Zurich, 8057 Zurich, Switzerland. ; Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, MA 02142, USA. Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. ; Stem Cell Program and Division of Hematology/Oncology, Children's Hospital Boston, Howard Hughes Medical Institute, Boston, MA 02115, USA. Harvard Stem Cell Institute, Boston, MA 02115, USA. ; Stem Cell Program and Division of Hematology/Oncology, Children's Hospital Boston, Howard Hughes Medical Institute, Boston, MA 02115, USA. ; Stem Cell Program and Division of Hematology/Oncology, Children's Hospital Boston, Howard Hughes Medical Institute, Boston, MA 02115, USA. Harvard Stem Cell Institute, Boston, MA 02115, USA. Harvard Medical School, Boston, MA 02115, USA. ; Stem Cell Program and Division of Hematology/Oncology, Children's Hospital Boston, Howard Hughes Medical Institute, Boston, MA 02115, USA. Harvard Medical School, Boston, MA 02115, USA. ; Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, New York, NY 10075, USA. ; Massachusetts General Hospital Cancer Center, Harvard Medical School, Charlestown, MA 02129, USA. ; Research Institute Children's Cancer Center Hamburg and Department of Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany. ; Stem Cell Program and Division of Hematology/Oncology, Children's Hospital Boston, Howard Hughes Medical Institute, Boston, MA 02115, USA. Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA. ; Harvard Stem Cell Institute, Boston, MA 02115, USA. Harvard Medical School, Boston, MA 02115, USA. Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA 02114, USA. ; Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, MA 02142, USA. Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. ; Stem Cell Program and Division of Hematology/Oncology, Children's Hospital Boston, Howard Hughes Medical Institute, Boston, MA 02115, USA. Harvard Stem Cell Institute, Boston, MA 02115, USA. Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA. Harvard Medical School, Boston, MA 02115, USA. Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA. zon@enders.tch.harvard.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26823433" target="_blank"〉PubMed〈/a〉

Description: Type IVa pili are filamentous cell surface structures observed in many bacteria. They pull cells forward by extending, adhering to surfaces, and then retracting. We used cryo-electron tomography of intact Myxococcus xanthus cells to visualize type IVa pili and the protein machine that assembles and retracts them (the type IVa pilus machine, or T4PM) in situ, in both the piliated and nonpiliated states, at a resolution of 3 to 4 nanometers. We found that T4PM comprises an outer membrane pore, four interconnected ring structures in the periplasm and cytoplasm, a cytoplasmic disc and dome, and a periplasmic stem. By systematically imaging mutants lacking defined T4PM proteins or with individual proteins fused to tags, we mapped the locations of all 10 T4PM core components and the minor pilins, thereby providing insights into pilus assembly, structure, and function.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Chang, Yi-Wei -- Rettberg, Lee A -- Treuner-Lange, Anke -- Iwasa, Janet -- Sogaard-Andersen, Lotte -- Jensen, Grant J -- R01 GM094800B/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2016 Mar 11;351(6278):aad2001. doi: 10.1126/science.aad2001. Epub 2016 Mar 10.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉California Institute of Technology, Pasadena, CA 91125, USA. Howard Hughes Medical Institute, Pasadena, CA 91125, USA. ; Howard Hughes Medical Institute, Pasadena, CA 91125, USA. ; Max Planck Institute for Terrestrial Microbiology, 35043 Marburg, Germany. ; University of Utah, Salt Lake City, UT 84112, USA. ; California Institute of Technology, Pasadena, CA 91125, USA. Howard Hughes Medical Institute, Pasadena, CA 91125, USA. jensen@caltech.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26965631" target="_blank"〉PubMed〈/a〉

Description: The oncogene MDMX is overexpressed in many cancers, leading to suppression of the tumor suppressor p53. Inhibitors of the oncogene product MDMX therefore might help reactivate p53 and enhance the efficacy of DNA-damaging drugs. However, we currently lack a quantitative understanding of how MDMX inhibition affects the p53 signaling pathway and cell sensitivity to DNA damage. Live cell imaging showed that MDMX depletion triggered two distinct phases of p53 accumulation in single cells: an initial postmitotic pulse, followed by low-amplitude oscillations. The response to DNA damage was sharply different in these two phases; in the first phase, MDMX depletion was synergistic with DNA damage in causing cell death, whereas in the second phase, depletion of MDMX inhibited cell death. Thus a quantitative understanding of signal dynamics and cellular states is important for designing an optimal schedule of dual-drug administration.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Chen, Sheng-Hong -- Forrester, William -- Lahav, Galit -- F32GM105205/GM/NIGMS NIH HHS/ -- GM083303/GM/NIGMS NIH HHS/ -- R01 GM083303/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2016 Mar 11;351(6278):1204-8. doi: 10.1126/science.aac5610. Epub 2016 Mar 10.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Systems Biology, Harvard Medical School, Boston, MA, USA. ; Developmental and Molecular Pathways, Novartis Institutes for Biomedical Research, Cambridge, MA, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26965628" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Witze, Alexandra -- England -- Nature. 2016 Jan 7;529(7584):12. doi: 10.1038/529012a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26738576" target="_blank"〉PubMed〈/a〉

Description: The palaeobiological record of 12 million to 7 million years ago (Ma) is crucial to the elucidation of African ape and human origins, but few fossil assemblages of this period have been reported from sub-Saharan Africa. Since the 1970s, the Chorora Formation, Ethiopia, has been widely considered to contain ~10.5 million year (Myr) old mammalian fossils. More recently, Chororapithecus abyssinicus, a probable primitive member of the gorilla clade, was discovered from the formation. Here we report new field observations and geochemical, magnetostratigraphic and radioisotopic results that securely place the Chorora Formation sediments to between ~9 and ~7 Ma. The C. abyssinicus fossils are ~8.0 Myr old, forming a revised age constraint of the human-gorilla split. Other Chorora fossils range in age from ~8.5 to 7 Ma and comprise the first sub-Saharan mammalian assemblage that spans this period. These fossils suggest indigenous African evolution of multiple mammalian lineages/groups between 10 and 7 Ma, including a possible ancestral-descendent relationship between the ~9.8 Myr old Nakalipithecus nakayamai and C. abyssinicus. The new chronology and fossils suggest that faunal provinciality between eastern Africa and Eurasia had intensified by ~9 Ma, with decreased faunal interchange thereafter. The Chorora evidence supports the hypothesis of in situ African evolution of the Gorilla-Pan-human clade, and is concordant with the deeper divergence estimates of humans and great apes based on lower mutation rates of ~0.5 x 10(-9) per site per year (refs 13 - 15).〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Katoh, Shigehiro -- Beyene, Yonas -- Itaya, Tetsumaru -- Hyodo, Hironobu -- Hyodo, Masayuki -- Yagi, Koshi -- Gouzu, Chitaro -- WoldeGabriel, Giday -- Hart, William K -- Ambrose, Stanley H -- Nakaya, Hideo -- Bernor, Raymond L -- Boisserie, Jean-Renaud -- Bibi, Faysal -- Saegusa, Haruo -- Sasaki, Tomohiko -- Sano, Katsuhiro -- Asfaw, Berhane -- Suwa, Gen -- England -- Nature. 2016 Feb 11;530(7589):215-8. doi: 10.1038/nature16510.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Natural History, Hyogo Museum of Nature and Human Activities, Sanda 669-1546, Japan. ; Association for Conservation of Culture Awassa, PO Box 6686, Addis Ababa, Ethiopia. ; Centre francais des etudes ethiopiennes (CFEE), USR CNRS 3137, French Ministry for Foreign Affairs, PO Box 5554, Addis Ababa, Ethiopia. ; Research Institute of Natural Sciences, Okayama University of Science, Okayama 700-0005, Japan. ; Research Center for Inland Seas, Kobe University, Kobe 657-8501, Japan. ; Hiruzen Institute for Geology and Chronology, Okayama 703-8252, Japan. ; EES-14/MS D462, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA. ; Department of Geology and Environmental Earth Science, Miami University, 133 Culler Hall, Oxford, Ohio 45056, USA. ; Department of Anthropology, University of Illinois, Urbana, Illinois 61801, USA. ; Department of Earth and Environmental Sciences, Kagoshima University, Kagoshima 890-0065, Japan. ; Department of Anatomy, Howard University, Washington DC 20059, USA. ; Institut de Paleoprimatologie, Paleontologie Humaine : Evolution et Paleoenvironnements (IPHEP), UMR CNRS 7262, Universite de Poitiers, 86022 Poitiers, France. ; Museum fur Naturkunde - Leibniz Institute for Evolution and Biodiversity Science, Invalidenstrasse 43, 10115 Berlin, Germany. ; Institute of Natural and Environmental Sciences, University of Hyogo, Sanda 669-1546, Japan. ; The University Museum, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan. ; Rift Valley Research Service, PO Box 5717, Addis Ababa, Ethiopia.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26863981" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bender, Eric -- England -- Nature. 2016 May 11;533(7602):S62-4. doi: 10.1038/533S62a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27167394" target="_blank"〉PubMed〈/a〉

Description: Sex and recombination are pervasive throughout nature despite their substantial costs. Understanding the evolutionary forces that maintain these phenomena is a central challenge in biology. One longstanding hypothesis argues that sex is beneficial because recombination speeds adaptation. Theory has proposed several distinct population genetic mechanisms that could underlie this advantage. For example, sex can promote the fixation of beneficial mutations either by alleviating interference competition (the Fisher-Muller effect) or by separating them from deleterious load (the ruby in the rubbish effect). Previous experiments confirm that sex can increase the rate of adaptation, but these studies did not observe the evolutionary dynamics that drive this effect at the genomic level. Here we present the first, to our knowledge, comparison between the sequence-level dynamics of adaptation in experimental sexual and asexual Saccharomyces cerevisiae populations, which allows us to identify the specific mechanisms by which sex speeds adaptation. We find that sex alters the molecular signatures of evolution by changing the spectrum of mutations that fix, and confirm theoretical predictions that it does so by alleviating clonal interference. We also show that substantially deleterious mutations hitchhike to fixation in adapting asexual populations. In contrast, recombination prevents such mutations from fixing. Our results demonstrate that sex both speeds adaptation and alters its molecular signature by allowing natural selection to more efficiently sort beneficial from deleterious mutations.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4855304/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4855304/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉McDonald, Michael J -- Rice, Daniel P -- Desai, Michael M -- GM104239/GM/NIGMS NIH HHS/ -- R01 GM104239/GM/NIGMS NIH HHS/ -- England -- Nature. 2016 Mar 10;531(7593):233-6. doi: 10.1038/nature17143. Epub 2016 Feb 24.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts 02138, USA. ; FAS Center for Systems Biology, Harvard University, Cambridge, Massachusetts 02138, USA. ; Department of Physics, Harvard University, Cambridge, Massachusetts 02138, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26909573" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Tollefson, Jeff -- England -- Nature. 2016 Feb 18;530(7590):266. doi: 10.1038/nature.2016.19336.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26887473" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Tollefson, Jeff -- England -- Nature. 2016 Mar 31;531(7596):562. doi: 10.1038/531562a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27029259" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Tollefson, Jeff -- England -- Nature. 2016 Mar 24;531(7595):425-6. doi: 10.1038/531425a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27008947" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Melott, Adrian L -- England -- Nature. 2016 Apr 7;532(7597):40-1. doi: 10.1038/532040a.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Physics and Astronomy, University of Kansas, Lawrence, Kansas 66045, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27078562" target="_blank"〉PubMed〈/a〉

Description: CRISPR-Cas9 nucleases are widely used for genome editing but can induce unwanted off-target mutations. Existing strategies for reducing genome-wide off-target effects of the widely used Streptococcus pyogenes Cas9 (SpCas9) are imperfect, possessing only partial or unproven efficacies and other limitations that constrain their use. Here we describe SpCas9-HF1, a high-fidelity variant harbouring alterations designed to reduce non-specific DNA contacts. SpCas9-HF1 retains on-target activities comparable to wild-type SpCas9 with 〉85% of single-guide RNAs (sgRNAs) tested in human cells. Notably, with sgRNAs targeted to standard non-repetitive sequences, SpCas9-HF1 rendered all or nearly all off-target events undetectable by genome-wide break capture and targeted sequencing methods. Even for atypical, repetitive target sites, the vast majority of off-target mutations induced by wild-type SpCas9 were not detected with SpCas9-HF1. With its exceptional precision, SpCas9-HF1 provides an alternative to wild-type SpCas9 for research and therapeutic applications. More broadly, our results suggest a general strategy for optimizing genome-wide specificities of other CRISPR-RNA-guided nucleases.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kleinstiver, Benjamin P -- Pattanayak, Vikram -- Prew, Michelle S -- Tsai, Shengdar Q -- Nguyen, Nhu T -- Zheng, Zongli -- Joung, J Keith -- DP1 GM105378/DP/NCCDPHP CDC HHS/ -- R01 GM088040/GM/NIGMS NIH HHS/ -- R01 GM107427/GM/NIGMS NIH HHS/ -- England -- Nature. 2016 Jan 28;529(7587):490-5. doi: 10.1038/nature16526. Epub 2016 Jan 6.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Molecular Pathology Unit, Center for Cancer Research, and Center for Computational and Integrative Biology, Massachusetts General Hospital, Charlestown, Massachusetts 02129, USA. ; Department of Pathology, Harvard Medical School, Boston, Massachusetts 02115, USA. ; Department of Biomedical Sciences, City University of Hong Kong, Hong Kong, China.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26735016" target="_blank"〉PubMed〈/a〉

Description: Plant respiration results in an annual flux of carbon dioxide (CO2) to the atmosphere that is six times as large as that due to the emissions from fossil fuel burning, so changes in either will impact future climate. As plant respiration responds positively to temperature, a warming world may result in additional respiratory CO2 release, and hence further atmospheric warming. Plant respiration can acclimate to altered temperatures, however, weakening the positive feedback of plant respiration to rising global air temperature, but a lack of evidence on long-term (weeks to years) acclimation to climate warming in field settings currently hinders realistic predictions of respiratory release of CO2 under future climatic conditions. Here we demonstrate strong acclimation of leaf respiration to both experimental warming and seasonal temperature variation for juveniles of ten North American tree species growing for several years in forest conditions. Plants grown and measured at 3.4 degrees C above ambient temperature increased leaf respiration by an average of 5% compared to plants grown and measured at ambient temperature; without acclimation, these increases would have been 23%. Thus, acclimation eliminated 80% of the expected increase in leaf respiration of non-acclimated plants. Acclimation of leaf respiration per degree temperature change was similar for experimental warming and seasonal temperature variation. Moreover, the observed increase in leaf respiration per degree increase in temperature was less than half as large as the average reported for previous studies, which were conducted largely over shorter time scales in laboratory settings. If such dampening effects of leaf thermal acclimation occur generally, the increase in respiration rates of terrestrial plants in response to climate warming may be less than predicted, and thus may not raise atmospheric CO2 concentrations as much as anticipated.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Reich, Peter B -- Sendall, Kerrie M -- Stefanski, Artur -- Wei, Xiaorong -- Rich, Roy L -- Montgomery, Rebecca A -- England -- Nature. 2016 Mar 31;531(7596):633-6. doi: 10.1038/nature17142. Epub 2016 Mar 16.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Forest Resources, University of Minnesota, Minnesota 55108, USA. ; Hawkesbury Institute for the Environment, Western Sydney University, Penrith, New South Wales 2753, Australia. ; State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling 712100, China. ; Smithsonian Environmental Research Center, Edgewater, Maryland 20137, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26982730" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kraus, Robert H S -- England -- Nature. 2016 Mar 24;531(7595):448. doi: 10.1038/531448e.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉University of Konstanz, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27008959" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉England -- Nature. 2016 Feb 11;530(7589):129-30. doi: 10.1038/530130a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26863944" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉England -- Nature. 2016 Feb 11;530(7589):129. doi: 10.1038/530129a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26863943" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Heffernan, Olive -- England -- Nature. 2016 Feb 4;530(7588):20-2. doi: 10.1038/530020a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26842039" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Neuberger, David -- England -- Nature. 2016 Mar 3;531(7592):9. doi: 10.1038/531009a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26935661" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Laursen, Lucas -- England -- Nature. 2016 May 11;533(7602):S68-9. doi: 10.1038/533S68a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27167396" target="_blank"〉PubMed〈/a〉

Description: Polar temperatures over the last several million years have, at times, been slightly warmer than today, yet global mean sea level has been 6-9 metres higher as recently as the Last Interglacial (130,000 to 115,000 years ago) and possibly higher during the Pliocene epoch (about three million years ago). In both cases the Antarctic ice sheet has been implicated as the primary contributor, hinting at its future vulnerability. Here we use a model coupling ice sheet and climate dynamics-including previously underappreciated processes linking atmospheric warming with hydrofracturing of buttressing ice shelves and structural collapse of marine-terminating ice cliffs-that is calibrated against Pliocene and Last Interglacial sea-level estimates and applied to future greenhouse gas emission scenarios. Antarctica has the potential to contribute more than a metre of sea-level rise by 2100 and more than 15 metres by 2500, if emissions continue unabated. In this case atmospheric warming will soon become the dominant driver of ice loss, but prolonged ocean warming will delay its recovery for thousands of years.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉DeConto, Robert M -- Pollard, David -- England -- Nature. 2016 Mar 31;531(7596):591-7. doi: 10.1038/nature17145.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Geosciences, University of Massachusetts, Amherst, Massachusetts 01003, USA. ; Earth and Environmental Systems Institute, Pennsylvania State University, University Park, Pennsylvania 16802, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27029274" target="_blank"〉PubMed〈/a〉

Description: (beta-)Arrestins are important regulators of G-protein-coupled receptors (GPCRs). They bind to active, phosphorylated GPCRs and thereby shut off 'classical' signalling to G proteins, trigger internalization of GPCRs via interaction with the clathrin machinery and mediate signalling via 'non-classical' pathways. In addition to two visual arrestins that bind to rod and cone photoreceptors (termed arrestin1 and arrestin4), there are only two (non-visual) beta-arrestin proteins (beta-arrestin1 and beta-arrestin2, also termed arrestin2 and arrestin3), which regulate hundreds of different (non-visual) GPCRs. Binding of these proteins to GPCRs usually requires the active form of the receptors plus their phosphorylation by G-protein-coupled receptor kinases (GRKs). The binding of receptors or their carboxy terminus as well as certain truncations induce active conformations of (beta-)arrestins that have recently been solved by X-ray crystallography. Here we investigate both the interaction of beta-arrestin with GPCRs, and the beta-arrestin conformational changes in real time and in living human cells, using a series of fluorescence resonance energy transfer (FRET)-based beta-arrestin2 biosensors. We observe receptor-specific patterns of conformational changes in beta-arrestin2 that occur rapidly after the receptor-beta-arrestin2 interaction. After agonist removal, these changes persist for longer than the direct receptor interaction. Our data indicate a rapid, receptor-type-specific, two-step binding and activation process between GPCRs and beta-arrestins. They further indicate that beta-arrestins remain active after dissociation from receptors, allowing them to remain at the cell surface and presumably signal independently. Thus, GPCRs trigger a rapid, receptor-specific activation/deactivation cycle of beta-arrestins, which permits their active signalling.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Nuber, Susanne -- Zabel, Ulrike -- Lorenz, Kristina -- Nuber, Andreas -- Milligan, Graeme -- Tobin, Andrew B -- Lohse, Martin J -- Hoffmann, Carsten -- 1 R01 DA038882/DA/NIDA NIH HHS/ -- BB/K019864/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- England -- Nature. 2016 Mar 31;531(7596):661-4. doi: 10.1038/nature17198. Epub 2016 Mar 23.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Institute of Pharmacology and Toxicology, University of Wurzburg, Versbacher Str. 9, 97078 Wurzburg, Germany. ; Rudolf Virchow Center, University of Wurzburg, Versbacher Str. 9, 97078 Wurzburg, Germany. ; Comprehensive Heart Failure Center, University of Wurzburg, Versbacher Str. 9, 97078 Wurzburg, Germany. ; Molecular Pharmacology Group, Institute of Molecular, Cell and Systems Biology, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK. ; MRC Toxicology Unit, University of Leicester, Hodgkin Building, Lancaster Road, Leicester LE1 9HN, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27007855" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Callaway, Ewen -- England -- Nature. 2016 Mar 17;531(7594):286. doi: 10.1038/531286a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26983523" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Scheuermann, Richard H -- England -- Nature. 2016 Mar 10;531(7593):173. doi: 10.1038/531173a.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉J. Craig Venter Institute, La Jolla, California, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26961650" target="_blank"〉PubMed〈/a〉

Description: In recent years, several extreme weather disasters have partially or completely damaged regional crop production. While detailed regional accounts of the effects of extreme weather disasters exist, the global scale effects of droughts, floods and extreme temperature on crop production are yet to be quantified. Here we estimate for the first time, to our knowledge, national cereal production losses across the globe resulting from reported extreme weather disasters during 1964-2007. We show that droughts and extreme heat significantly reduced national cereal production by 9-10%, whereas our analysis could not identify an effect from floods and extreme cold in the national data. Analysing the underlying processes, we find that production losses due to droughts were associated with a reduction in both harvested area and yields, whereas extreme heat mainly decreased cereal yields. Furthermore, the results highlight ~7% greater production damage from more recent droughts and 8-11% more damage in developed countries than in developing ones. Our findings may help to guide agricultural priorities in international disaster risk reduction and adaptation efforts.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lesk, Corey -- Rowhani, Pedram -- Ramankutty, Navin -- England -- Nature. 2016 Jan 7;529(7584):84-7. doi: 10.1038/nature16467.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Geography, McGill University, Montreal H3A 0B9, Canada. ; Department of Geography, University of Sussex, Brighton BN1 9QJ, UK. ; Liu Institute for Global Issues and Institute for Resources, Environment and Sustainability, University of British Columbia, Vancouver V6T 1Z2, Canada.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26738594" target="_blank"〉PubMed〈/a〉

Description: As climate change unfolds, weather systems in the United States have been shifting in patterns that vary across regions and seasons. Climate science research typically assesses these changes by examining individual weather indicators, such as temperature or precipitation, in isolation, and averaging their values across the spatial surface. As a result, little is known about population exposure to changes in weather and how people experience and evaluate these changes considered together. Here we show that in the United States from 1974 to 2013, the weather conditions experienced by the vast majority of the population improved. Using previous research on how weather affects local population growth to develop an index of people's weather preferences, we find that 80% of Americans live in counties that are experiencing more pleasant weather than they did four decades ago. Virtually all Americans are now experiencing the much milder winters that they typically prefer, and these mild winters have not been offset by markedly more uncomfortable summers or other negative changes. Climate change models predict that this trend is temporary, however, because US summers will eventually warm more than winters. Under a scenario in which greenhouse gas emissions proceed at an unabated rate (Representative Concentration Pathway 8.5), we estimate that 88% of the US public will experience weather at the end of the century that is less preferable than weather in the recent past. Our results have implications for the public's understanding of the climate change problem, which is shaped in part by experiences with local weather. Whereas weather patterns in recent decades have served as a poor source of motivation for Americans to demand a policy response to climate change, public concern may rise once people's everyday experiences of climate change effects start to become less pleasant.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Egan, Patrick J -- Mullin, Megan -- England -- Nature. 2016 Apr 21;532(7599):357-60.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27127821" target="_blank"〉PubMed〈/a〉

Description: The identification of properties that contribute to the persistence and resilience of ecosystems despite climate change constitutes a research priority of global relevance. Here we present a novel, empirical approach to assess the relative sensitivity of ecosystems to climate variability, one property of resilience that builds on theoretical modelling work recognizing that systems closer to critical thresholds respond more sensitively to external perturbations. We develop a new metric, the vegetation sensitivity index, that identifies areas sensitive to climate variability over the past 14 years. The metric uses time series data derived from the moderate-resolution imaging spectroradiometer (MODIS) enhanced vegetation index, and three climatic variables that drive vegetation productivity (air temperature, water availability and cloud cover). Underlying the analysis is an autoregressive modelling approach used to identify climate drivers of vegetation productivity on monthly timescales, in addition to regions with memory effects and reduced response rates to external forcing. We find ecologically sensitive regions with amplified responses to climate variability in the Arctic tundra, parts of the boreal forest belt, the tropical rainforest, alpine regions worldwide, steppe and prairie regions of central Asia and North and South America, the Caatinga deciduous forest in eastern South America, and eastern areas of Australia. Our study provides a quantitative methodology for assessing the relative response rate of ecosystems--be they natural or with a strong anthropogenic signature--to environmental variability, which is the first step towards addressing why some regions appear to be more sensitive than others, and what impact this has on the resilience of ecosystem service provision and human well-being.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Seddon, Alistair W R -- Macias-Fauria, Marc -- Long, Peter R -- Benz, David -- Willis, Kathy J -- England -- Nature. 2016 Mar 10;531(7593):229-32. doi: 10.1038/nature16986. Epub 2016 Feb 17.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biology, University of Bergen, Allegaten 41, N-500 Bergen, Norway. ; School of Geography and the Environment, South Parks Road, University of Oxford, Oxford OX1 3QY, UK. ; Long-Term Ecology Laboratory, Biodiversity Institute, Oxford Martin School, Department of Zoology, South Parks Road, University of Oxford, Oxford OX1 3PS, UK. ; Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AB, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26886790" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉England -- Nature. 2016 Mar 10;531(7593):139. doi: 10.1038/531139a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26961619" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Evans Ogden, Lesley -- England -- Nature. 2016 May 5;533(7601):26-8. doi: 10.1038/533026a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27147016" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉England -- Nature. 2016 Mar 3;531(7592):7-8. doi: 10.1038/531007b.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26935658" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Sherkow, Jacob S -- England -- Nature. 2016 Apr 14;532(7598):172-3. doi: 10.1038/532172a.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Innovation Center for Law and Technology, New York Law School, New York, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27075081" target="_blank"〉PubMed〈/a〉

Description: Circadian clocks are fundamental to the biology of most eukaryotes, coordinating behaviour and physiology to resonate with the environmental cycle of day and night through complex networks of clock-controlled genes. A fundamental knowledge gap exists, however, between circadian gene expression cycles and the biochemical mechanisms that ultimately facilitate circadian regulation of cell biology. Here we report circadian rhythms in the intracellular concentration of magnesium ions, [Mg(2+)]i, which act as a cell-autonomous timekeeping component to determine key clock properties both in a human cell line and in a unicellular alga that diverged from each other more than 1 billion years ago. Given the essential role of Mg(2+) as a cofactor for ATP, a functional consequence of [Mg(2+)]i oscillations is dynamic regulation of cellular energy expenditure over the daily cycle. Mechanistically, we find that these rhythms provide bilateral feedback linking rhythmic metabolism to clock-controlled gene expression. The global regulation of nucleotide triphosphate turnover by intracellular Mg(2+) availability has potential to impact upon many of the cell's more than 600 MgATP-dependent enzymes and every cellular system where MgNTP hydrolysis becomes rate limiting. Indeed, we find that circadian control of translation by mTOR is regulated through [Mg(2+)]i oscillations. It will now be important to identify which additional biological processes are subject to this form of regulation in tissues of multicellular organisms such as plants and humans, in the context of health and disease.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Feeney, Kevin A -- Hansen, Louise L -- Putker, Marrit -- Olivares-Yanez, Consuelo -- Day, Jason -- Eades, Lorna J -- Larrondo, Luis F -- Hoyle, Nathaniel P -- O'Neill, John S -- van Ooijen, Gerben -- 093734/Z/10/Z/Wellcome Trust/United Kingdom -- MC_UP_1201/4/Medical Research Council/United Kingdom -- England -- Nature. 2016 Apr 21;532(7599):375-9. doi: 10.1038/nature17407. Epub 2016 Apr 13.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉MRC Laboratory for Molecular Biology, Francis Crick Avenue, Cambridge Biomedical Campus, Cambridge CB2 0QH, UK. ; School of Biological Sciences, University of Edinburgh, Max Born Crescent, Edinburgh EH9 3BF, UK. ; Millennium Nucleus for Fungal Integrative and Synthetic Biology, Departamento de Genetica Molecular y Microbiologia, Facultad de Ciencias Biologicas, Pontificia Universidad Catolica de Chile, Casilla 114-D, Santiago, Chile. ; Department of Earth Sciences, University of Cambridge, Downing Street, Cambridge CB2 3EQ, UK. ; School of Chemistry, University of Edinburgh, David Brewster Road, Edinburgh EH9 3FJ, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27074515" target="_blank"〉PubMed〈/a〉

Description: Lymphoid tissue is a key reservoir established by HIV-1 during acute infection. It is a site associated with viral production, storage of viral particles in immune complexes, and viral persistence. Although combinations of antiretroviral drugs usually suppress viral replication and reduce viral RNA to undetectable levels in blood, it is unclear whether treatment fully suppresses viral replication in lymphoid tissue reservoirs. Here we show that virus evolution and trafficking between tissue compartments continues in patients with undetectable levels of virus in their bloodstream. We present a spatial and dynamic model of persistent viral replication and spread that indicates why the development of drug resistance is not a foregone conclusion under conditions in which drug concentrations are insufficient to completely block virus replication. These data provide new insights into the evolutionary and infection dynamics of the virus population within the host, revealing that HIV-1 can continue to replicate and replenish the viral reservoir despite potent antiretroviral therapy.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lorenzo-Redondo, Ramon -- Fryer, Helen R -- Bedford, Trevor -- Kim, Eun-Young -- Archer, John -- Kosakovsky Pond, Sergei L -- Chung, Yoon-Seok -- Penugonda, Sudhir -- Chipman, Jeffrey G -- Fletcher, Courtney V -- Schacker, Timothy W -- Malim, Michael H -- Rambaut, Andrew -- Haase, Ashley T -- McLean, Angela R -- Wolinsky, Steven M -- AI1074340/AI/NIAID NIH HHS/ -- DA033773/DA/NIDA NIH HHS/ -- G1000196/Medical Research Council/United Kingdom -- GM110749/GM/NIGMS NIH HHS/ -- R01 DA033773/DA/NIDA NIH HHS/ -- Wellcome Trust/United Kingdom -- England -- Nature. 2016 Feb 4;530(7588):51-6. doi: 10.1038/nature16933. Epub 2016 Jan 27.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, Illinois 60011, USA. ; Institute for Emerging Infections, Department of Zoology, University of Oxford, Oxford, OX1 3PS, UK. ; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA. ; Centro de Investigacao em Biodiversidade e Recursos Geneticos Universidade do Porto, 4485-661 Vairao, Portugal. ; Department of Medicine, University of California, San Diego, California 92093, USA. ; Division of AIDS, Center for Immunology and Pathology, Korea National Institutes of Health, Chungju-si, Chungcheongbuk-do, 28159, South Korea. ; Department of Surgery, University of Minnesota, Minneapolis, Minnesota 55455, USA. ; Antiviral Pharmacology Laboratory, University of Nebraska Medical Center, College of Pharmacy, Omaha, Nebraska 68198, USA. ; Division of Infectious Diseases, University of Minnesota, Minneapolis, Minnesota 55455, USA. ; Department of Infectious Diseases, King's College London, Guy's Hospital, London SE21 7DN, UK. ; Centre for Immunology, Infection and Evolution, University of Edinburgh, Edinburgh EH9 3FL, UK. ; Department of Microbiology, University of Minnesota, Minneapolis, Minnesota 55455, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26814962" target="_blank"〉PubMed〈/a〉

Description: Targeted, temporally regulated neural modulation is invaluable in determining the physiological roles of specific neural populations or circuits. Here we describe a system for non-invasive, temporal activation or inhibition of neuronal activity in vivo and its use to study central nervous system control of glucose homeostasis and feeding in mice. We are able to induce neuronal activation remotely using radio waves or magnetic fields via Cre-dependent expression of a GFP-tagged ferritin fusion protein tethered to the cation-conducting transient receptor potential vanilloid 1 (TRPV1) by a camelid anti-GFP antibody (anti-GFP-TRPV1). Neuronal inhibition via the same stimuli is achieved by mutating the TRPV1 pore, rendering the channel chloride-permeable. These constructs were targeted to glucose-sensing neurons in the ventromedial hypothalamus in glucokinase-Cre mice, which express Cre in glucose-sensing neurons. Acute activation of glucose-sensing neurons in this region increases plasma glucose and glucagon, lowers insulin levels and stimulates feeding, while inhibition reduces blood glucose, raises insulin levels and suppresses feeding. These results suggest that pancreatic hormones function as an effector mechanism of central nervous system circuits controlling blood glucose and behaviour. The method we employ obviates the need for permanent implants and could potentially be applied to study other neural processes or used to regulate other, even dispersed, cell types.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Stanley, Sarah A -- Kelly, Leah -- Latcha, Kaamashri N -- Schmidt, Sarah F -- Yu, Xiaofei -- Nectow, Alexander R -- Sauer, Jeremy -- Dyke, Jonathan P -- Dordick, Jonathan S -- Friedman, Jeffrey M -- GM067545/GM/NIGMS NIH HHS/ -- GM095654/GM/NIGMS NIH HHS/ -- MH105941/MH/NIMH NIH HHS/ -- U01 MH105941/MH/NIMH NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2016 Mar 31;531(7596):647-50. doi: 10.1038/nature17183. Epub 2016 Mar 23.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Laboratory of Molecular Genetics, Rockefeller University, New York, New York 10065, USA. ; Department of Chemical &Biological Engineering, Center for Biotechnology &Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, New York 12180, USA. ; Department of Radiology, Weill Cornell Medical College, New York, New York 10065, USA. ; Howard Hughes Medical Institute, New York, New York 10065, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27007848" target="_blank"〉PubMed〈/a〉

Description: Regulatory T (Treg) cells expressing the transcription factor Foxp3 have a pivotal role in maintaining immunological self-tolerance; yet, excessive Treg cell activities suppress anti-tumour immune responses. Compared to the resting Treg (rTreg) cell phenotype in secondary lymphoid organs, Treg cells in non-lymphoid tissues exhibit an activated Treg (aTreg) cell phenotype. However, the function of aTreg cells and whether their generation can be manipulated are largely unexplored. Here we show that the transcription factor Foxo1, previously demonstrated to promote Treg cell suppression of lymphoproliferative diseases, has an unexpected function in inhibiting aTreg-cell-mediated immune tolerance in mice. We find that aTreg cells turned over at a slower rate than rTreg cells, but were not locally maintained in tissues. aTreg cell differentiation was associated with repression of Foxo1-dependent gene transcription, concomitant with reduced Foxo1 expression, cytoplasmic localization and enhanced phosphorylation at the Akt sites. Treg-cell-specific expression of an Akt-insensitive Foxo1 mutant prevented downregulation of lymphoid organ homing molecules, and impeded Treg cell homing to non-lymphoid organs, causing CD8(+) T-cell-mediated autoimmune diseases. Compared to Treg cells from healthy tissues, tumour-infiltrating Treg cells downregulated Foxo1 target genes more substantially. Expression of the Foxo1 mutant at a lower dose was sufficient to deplete tumour-associated Treg cells, activate effector CD8(+) T cells, and inhibit tumour growth without inflicting autoimmunity. Thus, Foxo1 inactivation is essential for the migration of aTreg cells that have a crucial function in suppressing CD8(+) T-cell responses; and the Foxo signalling pathway in Treg cells can be titrated to break tumour immune tolerance preferentially.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Luo, Chong T -- Liao, Will -- Dadi, Saida -- Toure, Ahmed -- Li, Ming O -- P30 CA008748/CA/NCI NIH HHS/ -- R01 AI102888-01A1/AI/NIAID NIH HHS/ -- England -- Nature. 2016 Jan 28;529(7587):532-6. doi: 10.1038/nature16486. Epub 2016 Jan 20.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Immunology Program, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA. ; Louis V. Gerstner Jr Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA. ; New York Genome Center, New York, New York 10013, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26789248" target="_blank"〉PubMed〈/a〉

Description: Despite the success of potent anti-retroviral drugs in controlling human immunodeficiency virus type 1 (HIV-1) infection, little progress has been made in generating an effective HIV-1 vaccine. Although passive transfer of anti-HIV-1 broadly neutralizing antibodies can protect mice or macaques against a single high-dose challenge with HIV or simian/human (SIV/HIV) chimaeric viruses (SHIVs) respectively, the long-term efficacy of a passive antibody transfer approach for HIV-1 has not been examined. Here we show, on the basis of the relatively long-term protection conferred by hepatitis A immune globulin, the efficacy of a single injection (20 mg kg(-1)) of four anti-HIV-1-neutralizing monoclonal antibodies (VRC01, VRC01-LS, 3BNC117, and 10-1074 (refs 9 - 12)) in blocking repeated weekly low-dose virus challenges of the clade B SHIVAD8. Compared with control animals, which required two to six challenges (median = 3) for infection, a single broadly neutralizing antibody infusion prevented virus acquisition for up to 23 weekly challenges. This effect depended on antibody potency and half-life. The highest levels of plasma-neutralizing activity and, correspondingly, the longest protection were found in monkeys administered the more potent antibodies 3BNC117 and 10-1074 (median = 13 and 12.5 weeks, respectively). VRC01, which showed lower plasma-neutralizing activity, protected for a shorter time (median = 8 weeks). The introduction of a mutation that extends antibody half-life into the crystallizable fragment (Fc) domain of VRC01 increased median protection from 8 to 14.5 weeks. If administered to populations at high risk of HIV-1 transmission, such an immunoprophylaxis regimen could have a major impact on virus transmission.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gautam, Rajeev -- Nishimura, Yoshiaki -- Pegu, Amarendra -- Nason, Martha C -- Klein, Florian -- Gazumyan, Anna -- Golijanin, Jovana -- Buckler-White, Alicia -- Sadjadpour, Reza -- Wang, Keyun -- Mankoff, Zachary -- Schmidt, Stephen D -- Lifson, Jeffrey D -- Mascola, John R -- Nussenzweig, Michel C -- Martin, Malcolm A -- AI-100148/AI/NIAID NIH HHS/ -- HHSN261200800001E/PHS HHS/ -- UM1 AI100663-01/AI/NIAID NIH HHS/ -- Howard Hughes Medical Institute/ -- Intramural NIH HHS/ -- England -- Nature. 2016 May 5;533(7601):105-9. doi: 10.1038/nature17677. Epub 2016 Apr 27.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Laboratory of Molecular Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland 20892, USA. ; Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland 20892, USA. ; Biostatistics Research Branch, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland 20892, USA. ; Laboratory of Molecular Immunology, The Rockefeller University, New York, New York 10065, USA. ; Laboratory of Experimental Immunology, Center for Molecular Medicine Cologne (CMMC), University of Cologne, 50931 Cologne, Germany. ; Department I of Internal Medicine, Center of Integrated Oncology Cologne-Bonn, University Hospital Cologne, 50937 Cologne, Germany. ; AIDS and Cancer Virus Program, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, Maryland 21702, USA. ; Howard Hughes Medical Institute, Chevy Chase, Maryland 20815, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27120156" target="_blank"〉PubMed〈/a〉

Description: Homo floresiensis, a primitive hominin species discovered in Late Pleistocene sediments at Liang Bua (Flores, Indonesia), has generated wide interest and scientific debate. A major reason this taxon is controversial is because the H. floresiensis-bearing deposits, which include associated stone artefacts and remains of other extinct endemic fauna, were dated to between about 95 and 12 thousand calendar years (kyr) ago. These ages suggested that H. floresiensis survived until long after modern humans reached Australia by ~50 kyr ago. Here we report new stratigraphic and chronological evidence from Liang Bua that does not support the ages inferred previously for the H. floresiensis holotype (LB1), ~18 thousand calibrated radiocarbon years before present (kyr cal. BP), or the time of last appearance of this species (about 17 or 13-11 kyr cal. BP). Instead, the skeletal remains of H. floresiensis and the deposits containing them are dated to between about 100 and 60 kyr ago, whereas stone artefacts attributable to this species range from about 190 to 50 kyr in age. Whether H. floresiensis survived after 50 kyr ago--potentially encountering modern humans on Flores or other hominins dispersing through southeast Asia, such as Denisovans--is an open question.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Sutikna, Thomas -- Tocheri, Matthew W -- Morwood, Michael J -- Saptomo, E Wahyu -- Jatmiko -- Awe, Rokus Due -- Wasisto, Sri -- Westaway, Kira E -- Aubert, Maxime -- Li, Bo -- Zhao, Jian-xin -- Storey, Michael -- Alloway, Brent V -- Morley, Mike W -- Meijer, Hanneke J M -- van den Bergh, Gerrit D -- Grun, Rainer -- Dosseto, Anthony -- Brumm, Adam -- Jungers, William L -- Roberts, Richard G -- England -- Nature. 2016 Apr 21;532(7599):366-9. doi: 10.1038/nature17179. Epub 2016 Mar 30.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Centre for Archaeological Science, School of Earth and Environmental Sciences, University of Wollongong, Wollongong, New South Wales 2522, Australia. ; Pusat Penelitian Arkeologi Nasional, Jakarta 12510, Indonesia. ; Department of Anthropology, Lakehead University, Thunder Bay, Ontario P7B 5E1, Canada. ; Human Origins Program, Department of Anthropology, National Museum of Natural History, Smithsonian Institution, Washington DC 20013, USA. ; Traps MQ Luminescence Dating Facility, Department of Environmental Sciences, Macquarie University, Sydney, New South Wales 2109, Australia. ; Research Centre for Human Evolution, Place, Evolution and Rock Art Heritage Unit, Griffith University, Gold Coast, Queensland 4222, Australia. ; School of Earth and Environmental Sciences, University of Wollongong, Wollongong, New South Wales 2522, Australia. ; School of Earth Sciences, University of Queensland, Brisbane, Queensland 4072, Australia. ; QUADLAB, Section of Earth and Planetary System Science, Natural History Museum of Denmark, 1350 Copenhagen, Denmark. ; School of Geography, Environment and Earth Sciences, Victoria University of Wellington, Wellington 6012, New Zealand. ; Department of Natural History, University Museum of Bergen, University of Bergen, 5007 Bergen, Norway. ; Research Centre for Human Evolution, Environmental Futures Research Institute, Griffith University, Brisbane, Queensland 4111, Australia. ; Research School of Earth Sciences, Australian National University, Canberra, Australian Capital Territory 0200, Australia. ; GeoQuEST Research Centre, School of Earth and Environmental Sciences, University of Wollongong, Wollongong, New South Wales 2522, Australia. ; Department of Anatomical Sciences, Stony Brook University Medical Center, Stony Brook, New York 11794, USA. ; Association Vahatra, BP 3972, Antananarivo 101, Madagascar.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27027286" target="_blank"〉PubMed〈/a〉

Description: Directional control of tip-growing cells is essential for proper tissue organization and cell-to-cell communication in animals and plants. In the sexual reproduction of flowering plants, the tip growth of the male gametophyte, the pollen tube, is precisely guided by female cues to achieve fertilization. Several female-secreted peptides have recently been identified as species-specific attractants that directly control the direction of pollen tube growth. However, the method by which pollen tubes precisely and promptly respond to the guidance signal from their own species is unknown. Here we show that tip-localized pollen-specific receptor-like kinase 6 (PRK6) with an extracellular leucine-rich repeat domain is an essential receptor for sensing of the LURE1 attractant peptide in Arabidopsis thaliana under semi-in-vivo conditions, and is important for ovule targeting in the pistil. PRK6 interacted with pollen-expressed ROPGEFs (Rho of plant guanine nucleotide-exchange factors), which are important for pollen tube growth through activation of the signalling switch Rho GTPase ROP1 (refs 7, 8). PRK6 conferred responsiveness to AtLURE1 in pollen tubes of the related species Capsella rubella. Furthermore, our genetic and physiological data suggest that PRK6 signalling through ROPGEFs and sensing of AtLURE1 are achieved in cooperation with the other PRK family receptors, PRK1, PRK3 and PRK8. Notably, the tip-focused PRK6 accumulated asymmetrically towards an external AtLURE1 source before reorientation of pollen tube tip growth. These results demonstrate that PRK6 acts as a key membrane receptor for external AtLURE1 attractants, and recruits the core tip-growth machinery, including ROP signalling proteins. This work provides insights into the orchestration of efficient pollen tube growth and species-specific pollen tube attraction by multiple receptors during male-female communication.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Takeuchi, Hidenori -- Higashiyama, Tetsuya -- England -- Nature. 2016 Mar 10;531(7593):245-8. doi: 10.1038/nature17413.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Biological Science, Graduate School of Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602, Japan. ; JST ERATO Higashiyama Live-Holonics Project, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602, Japan. ; 3Institute of Transformative Bio-Molecules (ITbM), Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602, Japan.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26961657" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Callaway, Ewen -- Powell, Kendall -- England -- Nature. 2016 Feb 18;530(7590):265. doi: 10.1038/530265a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26887471" target="_blank"〉PubMed〈/a〉

Description: Controlling dropwise condensation is fundamental to water-harvesting systems, desalination, thermal power generation, air conditioning, distillation towers, and numerous other applications. For any of these, it is essential to design surfaces that enable droplets to grow rapidly and to be shed as quickly as possible. However, approaches based on microscale, nanoscale or molecular-scale textures suffer from intrinsic trade-offs that make it difficult to optimize both growth and transport at once. Here we present a conceptually different design approach--based on principles derived from Namib desert beetles, cacti, and pitcher plants--that synergistically combines these aspects of condensation and substantially outperforms other synthetic surfaces. Inspired by an unconventional interpretation of the role of the beetle's bumpy surface geometry in promoting condensation, and using theoretical modelling, we show how to maximize vapour diffusion fluxat the apex of convex millimetric bumps by optimizing the radius of curvature and cross-sectional shape. Integrating this apex geometry with a widening slope, analogous to cactus spines, directly couples facilitated droplet growth with fast directional transport, by creating a free-energy profile that drives the droplet down the slope before its growth rate can decrease. This coupling is further enhanced by a slippery, pitcher-plant-inspired nanocoating that facilitates feedback between coalescence-driven growth and capillary-driven motion on the way down. Bumps that are rationally designed to integrate these mechanisms are able to grow and transport large droplets even against gravity and overcome the effect of an unfavourable temperature gradient. We further observe an unprecedented sixfold-higher exponent of growth rate, faster onset, higher steady-state turnover rate, and a greater volume of water collected compared to other surfaces. We envision that this fundamental understanding and rational design strategy can be applied to a wide range of water-harvesting and phase-change heat-transfer applications.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Park, Kyoo-Chul -- Kim, Philseok -- Grinthal, Alison -- He, Neil -- Fox, David -- Weaver, James C -- Aizenberg, Joanna -- England -- Nature. 2016 Mar 3;531(7592):78-82. doi: 10.1038/nature16956. Epub 2016 Feb 24.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA. ; Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, Massachusetts, USA. ; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26909575" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Witze, Alexandra -- England -- Nature. 2016 Mar 3;531(7592):15-6. doi: 10.1038/531015a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26935673" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Check Hayden, Erika -- England -- Nature. 2016 Feb 11;530(7589):142-3. doi: 10.1038/530142a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26863963" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Woolston, Chris -- England -- Nature. 2016 Mar 24;531(7595):539-41.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27014783" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Karve, Shraddha Madhav -- Mangalam, Madhur -- England -- Nature. 2016 Mar 17;531(7594):305. doi: 10.1038/531305d.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Indian Institute of Science Education and Research, Pune, India. ; University of Georgia, Athens, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26983529" target="_blank"〉PubMed〈/a〉

Description: Land-use change occurs nowhere more rapidly than in the tropics, where the imbalance between deforestation and forest regrowth has large consequences for the global carbon cycle. However, considerable uncertainty remains about the rate of biomass recovery in secondary forests, and how these rates are influenced by climate, landscape, and prior land use. Here we analyse aboveground biomass recovery during secondary succession in 45 forest sites and about 1,500 forest plots covering the major environmental gradients in the Neotropics. The studied secondary forests are highly productive and resilient. Aboveground biomass recovery after 20 years was on average 122 megagrams per hectare (Mg ha(-1)), corresponding to a net carbon uptake of 3.05 Mg C ha(-1) yr(-1), 11 times the uptake rate of old-growth forests. Aboveground biomass stocks took a median time of 66 years to recover to 90% of old-growth values. Aboveground biomass recovery after 20 years varied 11.3-fold (from 20 to 225 Mg ha(-1)) across sites, and this recovery increased with water availability (higher local rainfall and lower climatic water deficit). We present a biomass recovery map of Latin America, which illustrates geographical and climatic variation in carbon sequestration potential during forest regrowth. The map will support policies to minimize forest loss in areas where biomass resilience is naturally low (such as seasonally dry forest regions) and promote forest regeneration and restoration in humid tropical lowland areas with high biomass resilience.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Poorter, Lourens -- Bongers, Frans -- Aide, T Mitchell -- Almeyda Zambrano, Angelica M -- Balvanera, Patricia -- Becknell, Justin M -- Boukili, Vanessa -- Brancalion, Pedro H S -- Broadbent, Eben N -- Chazdon, Robin L -- Craven, Dylan -- de Almeida-Cortez, Jarcilene S -- Cabral, George A L -- de Jong, Ben H J -- Denslow, Julie S -- Dent, Daisy H -- DeWalt, Saara J -- Dupuy, Juan M -- Duran, Sandra M -- Espirito-Santo, Mario M -- Fandino, Maria C -- Cesar, Ricardo G -- Hall, Jefferson S -- Hernandez-Stefanoni, Jose Luis -- Jakovac, Catarina C -- Junqueira, Andre B -- Kennard, Deborah -- Letcher, Susan G -- Licona, Juan-Carlos -- Lohbeck, Madelon -- Marin-Spiotta, Erika -- Martinez-Ramos, Miguel -- Massoca, Paulo -- Meave, Jorge A -- Mesquita, Rita -- Mora, Francisco -- Munoz, Rodrigo -- Muscarella, Robert -- Nunes, Yule R F -- Ochoa-Gaona, Susana -- de Oliveira, Alexandre A -- Orihuela-Belmonte, Edith -- Pena-Claros, Marielos -- Perez-Garcia, Eduardo A -- Piotto, Daniel -- Powers, Jennifer S -- Rodriguez-Velazquez, Jorge -- Romero-Perez, I Eunice -- Ruiz, Jorge -- Saldarriaga, Juan G -- Sanchez-Azofeifa, Arturo -- Schwartz, Naomi B -- Steininger, Marc K -- Swenson, Nathan G -- Toledo, Marisol -- Uriarte, Maria -- van Breugel, Michiel -- van der Wal, Hans -- Veloso, Maria D M -- Vester, Hans F M -- Vicentini, Alberto -- Vieira, Ima C G -- Bentos, Tony Vizcarra -- Williamson, G Bruce -- Rozendaal, Danae M A -- England -- Nature. 2016 Feb 11;530(7589):211-4. doi: 10.1038/nature16512. Epub 2016 Feb 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Forest Ecology and Forest Management Group, Wageningen University, PO Box 47, 6700 AA Wageningen, The Netherlands. ; PO Box 23360, Department of Biology, University of Puerto Rico, San Juan, PR 00931-3360, Puerto Rico. ; Spatial Ecology and Conservation Lab, Department of Geography, University of Alabama, Tuscaloosa, Alabama 35487, USA. ; Instituto de Investigaciones en Ecosistemas y Sustentabilidad, Universidad Nacional Autonoma de Mexico, CP58190, Morelia, Michoacan, Mexico. ; Department of Ecology and Evolutionary Biology, Brown University, Providence, Rhode Island 02912, USA. ; Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, Connecticut 06269, USA. ; Department of Forest Sciences, Luiz de Queiroz College of Agriculture, University of Sao Paulo, Avenida Padua Dias 11, 13418-900, Piracicaba, Sao Paulo, Brazil. ; SI ForestGEO, Smithsonian Tropical Research Institute, Roosevelt Avenue, Tupper Building - 401, Balboa, Ancon, Panama, Panama ; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany. ; Institute for Biology, Leipzig University, Johannisallee 21, 04103 Leipzig, Germany. ; Departamento de Botanica, Universidade Federal de Pernambuco, Pernambuco, CEP 50670-901, Brazil. ; Department of Sustainability Science, El Colegio de la Frontera Sur, Unidad Campeche, Av. Rancho Poligono 2A, Parque Industrial Lerma, Campeche, Campeche, CP 24500, Mexico. ; Department of Ecology and Evolutionary Biology, Tulane University, New Orleans, Louisiana 70130, USA. ; Smithsonian Tropical Research Institute, Roosevelt Avenue, Tupper Building - 401, Balboa, Ancon, Panama, Panama ; Biological and Environmental Sciences, University of Stirling, Stirling FK9 4LA, UK. ; Department of Biological Sciences, Clemson University, 132 Long Hall, Clemson, South Carolina 29634, USA. ; Centro de Investigacion Cientifica de Yucatan, AC, Unidad de Recursos Naturales, Calle 43 No. 130, Colonia Chuburna de Hidalgo, CP 97200, Merida, Yucatan, Mexico. ; Earth and Atmospheric Sciences Department, University of Alberta, Edmonton, Alberta T6G 2E3, Canada. ; Departamento de Biologia Geral, Universidade Estadual de Montes Claros, Montes Claros, Minas Gerais, CEP 39401-089, Brazil. ; Fondo Patrimonio Natural para la Biodiversidad y Areas Protegidas, Calle 72 No. 12-65 piso 6, Bogota, Colombia. ; Biological Dynamics of Forest Fragments Project, Environmental Dynamics Research Coordination, Instituto Nacional de Pesquisas da Amazonia, Manaus, Amazonas, CEP 69067-375, Brazil. ; Centre for Crop Systems Analysis, Wageningen University, PO Box 430, 6700 AK Wageningen, The Netherlands. ; Knowledge, Technology and Innovation Group, Wageningen University, PO Box 8130, 6700 EW Wageningen, The Netherlands. ; Coordenacao de Tecnologia e Inovacao, Instituto Nacional de Pesquisas da Amazonia, Avenida Andre Araujo, 2936 - Aleixo, 69060-001 Manaus, Brazil. ; Department of Physical and Environmental Sciences, Colorado Mesa University, 1100 North Avenue, Grand Junction, Colorado 81501, USA. ; Department of Environmental Studies, Purchase College (State University of New York), Purchase, New York 10577, USA. ; Instituto Boliviano de Investigacion Forestal (IBIF), FCA-UAGRM, Casilla 6204, Santa Cruz de la Sierra, Bolivia. ; World Agroforestry Centre (ICRAF), PO Box 30677 - 00100, Nairobi, Kenya. ; Department of Geography, University of Wisconsin-Madison, 550 North Park Street, Madison, Wisconsin 53706, USA. ; Departamento de Ecologia y Recursos Naturales, Facultad de Ciencias, Universidad Nacional Autonoma de Mexico, Mexico 04510 DF, Mexico. ; Department of Ecology, Evolution and Environmental Biology, Columbia University, New York, New York 10027, USA. ; Section of Ecoinformatics and Biodiversity, Department of Bioscience, Aarhus University, Aarhus 8000, Denmark. ; Departamento de Ecologia, Instituto de Biociencias, Universidade de Sao Paulo, Rua do Matao, travessa 14, No. 321, Sao Paulo, CEP 05508-090, Brazil. ; Universidade Federal do Sul da Bahia, Centro de Formacao em Ciencias Agroflorestais, Itabuna-BA, 45613-204, Brazil. ; Department of Ecology, Evolution, &Behavior, University of Minnesota, Saint Paul, Minnesota 55108, USA. ; Department of Plant Biology, University of Minnesota, Saint Paul, Minnesota 55108, USA. ; School of Social Sciences, Geography Area, Universidad Pedagogica y Tecnologica de Colombia (UPTC), Tunja, Colombia. ; Department of Geography, 4841 Ellison Hall, University of California, Santa Barbara, California 93106, USA. ; Department of Biology, University of Maryland, College Park, Maryland 20742, USA. ; Yale-NUS College, 12 College Avenue West, Singapore 138610. ; Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore 11754. ; Departamento de Agricultura, Sociedad y Ambiente, El Colegio de la Frontera Sur - Unidad Villahermosa, 86280 Centro, Tabasco, Mexico. ; Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, PO Box 94248, 1090 GE Amsterdam, The Netherlands. ; Bonhoeffer College, Bruggertstraat 60, 7545 AX Enschede, The Netherlands. ; Museu Paraense Emilio Goeldi, CP 399, CEP 66040-170, Belem, Brazil. ; Department of Biological Sciences, Louisiana State University, Baton Rouge, Louisiana 70803-1705, USA. ; Department of Biology, University of Regina, 3737 Wascana Parkway, Regina, Saskatchewan S4S 0A2, Canada.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26840632" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Powell, Kendall -- England -- Nature. 2016 Feb 11;530(7589):148-51. doi: 10.1038/530148a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26863966" target="_blank"〉PubMed〈/a〉

Description: The Ebola virus disease epidemic in West Africa is the largest on record, responsible for over 28,599 cases and more than 11,299 deaths. Genome sequencing in viral outbreaks is desirable to characterize the infectious agent and determine its evolutionary rate. Genome sequencing also allows the identification of signatures of host adaptation, identification and monitoring of diagnostic targets, and characterization of responses to vaccines and treatments. The Ebola virus (EBOV) genome substitution rate in the Makona strain has been estimated at between 0.87 x 10(-3) and 1.42 x 10(-3) mutations per site per year. This is equivalent to 16-27 mutations in each genome, meaning that sequences diverge rapidly enough to identify distinct sub-lineages during a prolonged epidemic. Genome sequencing provides a high-resolution view of pathogen evolution and is increasingly sought after for outbreak surveillance. Sequence data may be used to guide control measures, but only if the results are generated quickly enough to inform interventions. Genomic surveillance during the epidemic has been sporadic owing to a lack of local sequencing capacity coupled with practical difficulties transporting samples to remote sequencing facilities. To address this problem, here we devise a genomic surveillance system that utilizes a novel nanopore DNA sequencing instrument. In April 2015 this system was transported in standard airline luggage to Guinea and used for real-time genomic surveillance of the ongoing epidemic. We present sequence data and analysis of 142 EBOV samples collected during the period March to October 2015. We were able to generate results less than 24 h after receiving an Ebola-positive sample, with the sequencing process taking as little as 15-60 min. We show that real-time genomic surveillance is possible in resource-limited settings and can be established rapidly to monitor outbreaks.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Quick, Joshua -- Loman, Nicholas J -- Duraffour, Sophie -- Simpson, Jared T -- Severi, Ettore -- Cowley, Lauren -- Bore, Joseph Akoi -- Koundouno, Raymond -- Dudas, Gytis -- Mikhail, Amy -- Ouedraogo, Nobila -- Afrough, Babak -- Bah, Amadou -- Baum, Jonathan H J -- Becker-Ziaja, Beate -- Boettcher, Jan Peter -- Cabeza-Cabrerizo, Mar -- Camino-Sanchez, Alvaro -- Carter, Lisa L -- Doerrbecker, Juliane -- Enkirch, Theresa -- Garcia-Dorival, Isabel -- Hetzelt, Nicole -- Hinzmann, Julia -- Holm, Tobias -- Kafetzopoulou, Liana Eleni -- Koropogui, Michel -- Kosgey, Abigael -- Kuisma, Eeva -- Logue, Christopher H -- Mazzarelli, Antonio -- Meisel, Sarah -- Mertens, Marc -- Michel, Janine -- Ngabo, Didier -- Nitzsche, Katja -- Pallasch, Elisa -- Patrono, Livia Victoria -- Portmann, Jasmine -- Repits, Johanna Gabriella -- Rickett, Natasha Y -- Sachse, Andreas -- Singethan, Katrin -- Vitoriano, Ines -- Yemanaberhan, Rahel L -- Zekeng, Elsa G -- Racine, Trina -- Bello, Alexander -- Sall, Amadou Alpha -- Faye, Ousmane -- Faye, Oumar -- Magassouba, N'Faly -- Williams, Cecelia V -- Amburgey, Victoria -- Winona, Linda -- Davis, Emily -- Gerlach, Jon -- Washington, Frank -- Monteil, Vanessa -- Jourdain, Marine -- Bererd, Marion -- Camara, Alimou -- Somlare, Hermann -- Camara, Abdoulaye -- Gerard, Marianne -- Bado, Guillaume -- Baillet, Bernard -- Delaune, Deborah -- Nebie, Koumpingnin Yacouba -- Diarra, Abdoulaye -- Savane, Yacouba -- Pallawo, Raymond Bernard -- Gutierrez, Giovanna Jaramillo -- Milhano, Natacha -- Roger, Isabelle -- Williams, Christopher J -- Yattara, Facinet -- Lewandowski, Kuiama -- Taylor, James -- Rachwal, Phillip -- Turner, Daniel J -- Pollakis, Georgios -- Hiscox, Julian A -- Matthews, David A -- O'Shea, Matthew K -- Johnston, Andrew McD -- Wilson, Duncan -- Hutley, Emma -- Smit, Erasmus -- Di Caro, Antonino -- Wolfel, Roman -- Stoecker, Kilian -- Fleischmann, Erna -- Gabriel, Martin -- Weller, Simon A -- Koivogui, Lamine -- Diallo, Boubacar -- Keita, Sakoba -- Rambaut, Andrew -- Formenty, Pierre -- Gunther, Stephan -- Carroll, Miles W -- Medical Research Council/United Kingdom -- England -- Nature. 2016 Feb 11;530(7589):228-32. doi: 10.1038/nature16996. Epub 2016 Feb 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Institute of Microbiology and Infection, University of Birmingham, Birmingham B15 2TT, UK. ; The European Mobile Laboratory Consortium, Bernhard-Nocht-Institute for Tropical Medicine, D-20359 Hamburg, Germany. ; Bernhard-Nocht-Institute for Tropical Medicine, D-20359 Hamburg, Germany. ; Ontario Institute for Cancer Research, Toronto M5G 0A3, Canada. ; Department of Computer Science, University of Toronto, Toronto M5S 3G4, Canada. ; European Centre for Disease Prevention and Control (ECDC), 171 65 Solna, Sweden. ; National Infection Service, Public Health England, London NW9 5EQ, UK. ; Institute of Evolutionary Biology, University of Edinburgh, Edinburgh EH9 2FL, UK. ; Postgraduate Training for Applied Epidemiology (PAE, German FETP), Robert Koch Institute, D-13302 Berlin, Germany. ; National Infection Service, Public Health England, Porton Down, Wiltshire SP4 0JG, UK. ; Swiss Tropical and Public Health Institute, 4002 Basel, Switzerland. ; Robert Koch Institute, D-13302 Berlin, Germany. ; University College London, London WC1E 6BT, UK. ; Paul-Ehrlich-Institut, Division of Veterinary Medicine, D-63225 Langen, Germany. ; Institute of Infection and Global Health, University of Liverpool, Liverpool L69 7BE, UK. ; Laboratory for Clinical and Epidemiological Virology, Department of Microbiology and Immunology, KU Leuven, Leuven B-3000, Belgium. ; Ministry of Health Guinea, Conakry BP 585, Guinea. ; Kenya Medical Research Institute, Nairobi P.O. BOX 54840 - 00200, Kenya. ; National Institute for Infectious Diseases L. Spallanzani, 00149 Rome, Italy. ; Friedrich-Loeffler-Institute, D-17493 Greifswald, Germany. ; Federal Office for Civil Protection, Spiez Laboratory, 3700 Spiez, Switzerland. ; Janssen-Cilag, Stockholm, Box 7073 - 19207, Sweden. ; NIHR Health Protection Research Unit in Emerging and Zoonotic Infections, University of Liverpool, Liverpool L69 7BE, UK. ; Institute of Virology, Technische Universitat Munchen, D-81675 Munich, Germany. ; Public Health Agency of Canada, Winnipeg, Manitoba R3E 3R2, Canada. ; Institut Pasteur Dakar, Dakar, DP 220 Senegal. ; Laboratoire de Fievres Hemorragiques de Guinee, Conakry BP 5680, Guinea. ; Sandia National Laboratories, PO Box 5800 MS1363, Albuquerque, New Mexico 87185-1363, USA. ; Ratoma Ebola Diagnostic Center, Conakry, Guinea. ; MRIGlobal, Kansas City, Missouri 64110-2241, USA. ; Expertise France, Laboratoire K-plan de Forecariah en Guinee, 75006 Paris, France. ; Federation des Laboratoires - HIA Begin, 94163 Saint-Mande cedex, France. ; Laboratoire de Biologie - Centre de Traitement des Soignants, Conakry, Guinea. ; World Health Organization, Conakry BP 817, Guinea. ; London School of Hygiene and Tropical Medicine, London EC1E 7HT, UK. ; Norwegian Institute of Public Health, PO Box 4404 Nydalen, 0403 Oslo, Norway. ; Public Health Wales, Cardiff CF11 9LJ, UK. ; Defence Science and Technology Laboratory (Dstl) Porton Down, Salisbury SP4 0JQ, UK. ; Oxford Nanopore Technologies, Oxford OX4 4GA, UK. ; Department of Cellular and Molecular Medicine, School of Medical Sciences, University of Bristol, Bristol BS8 1TD, UK. ; Academic Department of Military Medicine, Royal Centre for Defence Medicine, Birmingham B15 2TH, UK. ; Centre of Defence Pathology, Royal Centre for Defence Medicine, Birmingham B15 2TH, UK. ; Queen Elizabeth Hospital, Birmingham B12 2TH, UK. ; Bundeswehr Institute of Microbiology, D-80937 Munich, Germany. ; Institut National de Sante Publique, Conakry BP 1147, Guinea. ; Fogarty International Center, National Institutes of Health, Bethesda, MD 20892-2220, USA. ; Centre for Immunology, Infection and Evolution, University of Edinburgh, Edinburgh EH9 2FL, UK. ; University of Southampton, South General Hospital, Southampton SO16 6YD, UK. ; NIHR Health Protection Research Unit in Emerging and Zoonotic Infections, PHE Porton Down, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26840485" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Reardon, Sara -- England -- Nature. 2016 May 5;533(7601):15-6. doi: 10.1038/533015a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27147010" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Reardon, Sara -- England -- Nature. 2016 Mar 31;531(7596):560. doi: 10.1038/531560a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27029280" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Mullard, Asher -- England -- Nature. 2016 Feb 18;530(7590):367-9. doi: 10.1038/530367a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26887498" target="_blank"〉PubMed〈/a〉

Description: Observing marine mammal (MM) populations continuously in time and space over the immense ocean areas they inhabit is challenging but essential for gathering an unambiguous record of their distribution, as well as understanding their behaviour and interaction with prey species. Here we use passive ocean acoustic waveguide remote sensing (POAWRS) in an important North Atlantic feeding ground to instantaneously detect, localize and classify MM vocalizations from diverse species over an approximately 100,000 km(2) region. More than eight species of vocal MMs are found to spatially converge on fish spawning areas containing massive densely populated herring shoals at night-time and diffuse herring distributions during daytime. We find the vocal MMs divide the enormous fish prey field into species-specific foraging areas with varying degrees of spatial overlap, maintained for at least two weeks of the herring spawning period. The recorded vocalization rates are diel (24 h)-dependent for all MM species, with some significantly more vocal at night and others more vocal during the day. The four key baleen whale species of the region: fin, humpback, blue and minke have vocalization rate trends that are highly correlated to trends in fish shoaling density and to each other over the diel cycle. These results reveal the temporospatial dynamics of combined multi-species MM foraging activities in the vicinity of an extensive fish prey field that forms a massive ecological hotspot, and would be unattainable with conventional methodologies. Understanding MM behaviour and distributions is essential for management of marine ecosystems and for accessing anthropogenic impacts on these protected marine species.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wang, Delin -- Garcia, Heriberto -- Huang, Wei -- Tran, Duong D -- Jain, Ankita D -- Yi, Dong Hoon -- Gong, Zheng -- Jech, J Michael -- Godo, Olav Rune -- Makris, Nicholas C -- Ratilal, Purnima -- England -- Nature. 2016 Mar 17;531(7594):366-70. doi: 10.1038/nature16960. Epub 2016 Mar 2.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Laboratory for Ocean Acoustics and Ecosystem Sensing, Northeastern University, 360 Huntington Avenue, Boston, Massachusetts 02115, USA. ; Laboratory for Undersea Remote Sensing, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, USA. ; Northeast Fisheries Science Center, 166 Water Street, Woods Hole, Massachusetts 02543, USA. ; Institute of Marine Research, Post Office Box 1870, Nordnes, N-5817 Bergen, Norway.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26934221" target="_blank"〉PubMed〈/a〉

Description: Sexual reproduction requires recognition between the male and female gametes. In flowering plants, the immobile sperms are delivered to the ovule-enclosed female gametophyte by guided pollen tube growth. Although the female gametophyte-secreted peptides have been identified to be the chemotactic attractant to the pollen tube, the male receptor(s) is still unknown. Here we identify a cell-surface receptor heteromer, MDIS1-MIK, on the pollen tube that perceives female attractant LURE1 in Arabidopsis thaliana. MDIS1, MIK1 and MIK2 are plasma-membrane-localized receptor-like kinases with extracellular leucine-rich repeats and an intracellular kinase domain. LURE1 specifically binds the extracellular domains of MDIS1, MIK1 and MIK2, whereas mdis1 and mik1 mik2 mutant pollen tubes respond less sensitively to LURE1. Furthermore, LURE1 triggers dimerization of the receptors and activates the kinase activity of MIK1. Importantly, transformation of AtMDIS1 to the sister species Capsella rubella can partially break down the reproductive isolation barrier. Our findings reveal a new mechanism of the male perception of the female attracting signals.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wang, Tong -- Liang, Liang -- Xue, Yong -- Jia, Peng-Fei -- Chen, Wei -- Zhang, Meng-Xia -- Wang, Ying-Chun -- Li, Hong-Ju -- Yang, Wei-Cai -- England -- Nature. 2016 Mar 10;531(7593):241-4. doi: 10.1038/nature16975. Epub 2016 Feb 10.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉State Key Laboratory of Molecular and Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China. ; University of Chinese Academy of Sciences, Beijing 100049, China.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26863186" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Nowogrodzki, Anna -- England -- Nature. 2016 Mar 31;531(7596):561. doi: 10.1038/nature.2016.19599.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27029258" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ledford, Heidi -- England -- Nature. 2016 Mar 10;531(7593):149. doi: 10.1038/531149a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26961633" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Savage, Neil -- England -- Nature. 2016 May 11;533(7602):S56-8. doi: 10.1038/533S56a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27167391" target="_blank"〉PubMed〈/a〉

Description: The past rapid growth of Northern Hemisphere continental ice sheets, which terminated warm and stable climate periods, is generally attributed to reduced summer insolation in boreal latitudes. Yet such summer insolation is near to its minimum at present, and there are no signs of a new ice age. This challenges our understanding of the mechanisms driving glacial cycles and our ability to predict the next glacial inception. Here we propose a critical functional relationship between boreal summer insolation and global carbon dioxide (CO2) concentration, which explains the beginning of the past eight glacial cycles and might anticipate future periods of glacial inception. Using an ensemble of simulations generated by an Earth system model of intermediate complexity constrained by palaeoclimatic data, we suggest that glacial inception was narrowly missed before the beginning of the Industrial Revolution. The missed inception can be accounted for by the combined effect of relatively high late-Holocene CO2 concentrations and the low orbital eccentricity of the Earth. Additionally, our analysis suggests that even in the absence of human perturbations no substantial build-up of ice sheets would occur within the next several thousand years and that the current interglacial would probably last for another 50,000 years. However, moderate anthropogenic cumulative CO2 emissions of 1,000 to 1,500 gigatonnes of carbon will postpone the next glacial inception by at least 100,000 years. Our simulations demonstrate that under natural conditions alone the Earth system would be expected to remain in the present delicately balanced interglacial climate state, steering clear of both large-scale glaciation of the Northern Hemisphere and its complete deglaciation, for an unusually long time.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ganopolski, A -- Winkelmann, R -- Schellnhuber, H J -- England -- Nature. 2016 Jan 14;529(7585):200-3. doi: 10.1038/nature16494.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Potsdam Institute for Climate Impact Research, 14412 Potsdam, Germany. ; Physics Institute, Potsdam University, 14476 Potsdam, Germany. ; Santa Fe Institute, Santa Fe, New Mexico 87501, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26762457" target="_blank"〉PubMed〈/a〉

Description: Cellular senescence, a stress-induced irreversible growth arrest often characterized by expression of p16(Ink4a) (encoded by the Ink4a/Arf locus, also known as Cdkn2a) and a distinctive secretory phenotype, prevents the proliferation of preneoplastic cells and has beneficial roles in tissue remodelling during embryogenesis and wound healing. Senescent cells accumulate in various tissues and organs over time, and have been speculated to have a role in ageing. To explore the physiological relevance and consequences of naturally occurring senescent cells, here we use a previously established transgene, INK-ATTAC, to induce apoptosis in p16(Ink4a)-expressing cells of wild-type mice by injection of AP20187 twice a week starting at one year of age. We show that compared to vehicle alone, AP20187 treatment extended median lifespan in both male and female mice of two distinct genetic backgrounds. The clearance of p16(Ink4a)-positive cells delayed tumorigenesis and attenuated age-related deterioration of several organs without apparent side effects, including kidney, heart and fat, where clearance preserved the functionality of glomeruli, cardio-protective KATP channels and adipocytes, respectively. Thus, p16(Ink4a)-positive cells that accumulate during adulthood negatively influence lifespan and promote age-dependent changes in several organs, and their therapeutic removal may be an attractive approach to extend healthy lifespan.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Baker, Darren J -- Childs, Bennett G -- Durik, Matej -- Wijers, Melinde E -- Sieben, Cynthia J -- Zhong, Jian -- Saltness, Rachel A -- Jeganathan, Karthik B -- Verzosa, Grace Casaclang -- Pezeshki, Abdulmohammad -- Khazaie, Khashayarsha -- Miller, Jordan D -- van Deursen, Jan M -- AG041122/AG/NIA NIH HHS/ -- HL111121/HL/NHLBI NIH HHS/ -- P01 AG041122/AG/NIA NIH HHS/ -- R01 CA096985/CA/NCI NIH HHS/ -- R01CA96985/CA/NCI NIH HHS/ -- England -- Nature. 2016 Feb 11;530(7589):184-9. doi: 10.1038/nature16932. Epub 2016 Feb 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Pediatric and Adolescent Medicine, Mayo Clinic College of Medicine, Rochester, Minnesota 55905, USA. ; Department of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine, Rochester, Minnesota 55905, USA. ; Division of Cardiovascular Surgery, Mayo Clinic College of Medicine, Rochester, Minnesota 55905, USA. ; Department of Immunology, Mayo Clinic College of Medicine, Rochester, Minnesota 55905, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26840489" target="_blank"〉PubMed〈/a〉

Description: The process of ageing makes death increasingly likely, involving a random aspect that produces a wide distribution of lifespan even in homogeneous populations. The study of this stochastic behaviour may link molecular mechanisms to the ageing process that determines lifespan. Here, by collecting high-precision mortality statistics from large populations, we observe that interventions as diverse as changes in diet, temperature, exposure to oxidative stress, and disruption of genes including the heat shock factor hsf-1, the hypoxia-inducible factor hif-1, and the insulin/IGF-1 pathway components daf-2, age-1, and daf-16 all alter lifespan distributions by an apparent stretching or shrinking of time. To produce such temporal scaling, each intervention must alter to the same extent throughout adult life all physiological determinants of the risk of death. Organismic ageing in Caenorhabditis elegans therefore appears to involve aspects of physiology that respond in concert to a diverse set of interventions. In this way, temporal scaling identifies a novel state variable, r(t), that governs the risk of death and whose average decay dynamics involves a single effective rate constant of ageing, kr. Interventions that produce temporal scaling influence lifespan exclusively by altering kr. Such interventions, when applied transiently even in early adulthood, temporarily alter kr with an attendant transient increase or decrease in the rate of change in r and a permanent effect on remaining lifespan. The existence of an organismal ageing dynamics that is invariant across genetic and environmental contexts provides the basis for a new, quantitative framework for evaluating the manner and extent to which specific molecular processes contribute to the aspect of ageing that determines lifespan.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Stroustrup, Nicholas -- Anthony, Winston E -- Nash, Zachary M -- Gowda, Vivek -- Gomez, Adam -- Lopez-Moyado, Isaac F -- Apfeld, Javier -- Fontana, Walter -- P40 OD010440/OD/NIH HHS/ -- R01 AG034994/AG/NIA NIH HHS/ -- England -- Nature. 2016 Feb 4;530(7588):103-7. doi: 10.1038/nature16550. Epub 2016 Jan 27.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Systems Biology, Harvard Medical School, Boston, Massachusetts 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26814965" target="_blank"〉PubMed〈/a〉

Description: The current outbreak of Ebola virus in West Africa is unprecedented, causing more cases and fatalities than all previous outbreaks combined, and has yet to be controlled. Several post-exposure interventions have been employed under compassionate use to treat patients repatriated to Europe and the United States. However, the in vivo efficacy of these interventions against the new outbreak strain of Ebola virus is unknown. Here we show that lipid-nanoparticle-encapsulated short interfering RNAs (siRNAs) rapidly adapted to target the Makona outbreak strain of Ebola virus are able to protect 100% of rhesus monkeys against lethal challenge when treatment was initiated at 3 days after exposure while animals were viraemic and clinically ill. Although all infected animals showed evidence of advanced disease including abnormal haematology, blood chemistry and coagulopathy, siRNA-treated animals had milder clinical features and fully recovered, while the untreated control animals succumbed to the disease. These results represent the first, to our knowledge, successful demonstration of therapeutic anti-Ebola virus efficacy against the new outbreak strain in nonhuman primates and highlight the rapid development of lipid-nanoparticle-delivered siRNA as a countermeasure against this highly lethal human disease.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4467030/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4467030/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Thi, Emily P -- Mire, Chad E -- Lee, Amy C H -- Geisbert, Joan B -- Zhou, Joy Z -- Agans, Krystle N -- Snead, Nicholas M -- Deer, Daniel J -- Barnard, Trisha R -- Fenton, Karla A -- MacLachlan, Ian -- Geisbert, Thomas W -- U19 AI109711/AI/NIAID NIH HHS/ -- U19AI109711/AI/NIAID NIH HHS/ -- England -- Nature. 2015 May 21;521(7552):362-5. doi: 10.1038/nature14442. Epub 2015 Apr 22.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Tekmira Pharmaceuticals, Burnaby, British Columbia V5J 5J8, Canada. ; 1] Galveston National Laboratory, University of Texas Medical Branch, Galveston, Texas 77550, USA [2] Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, Texas 77550, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25901685" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Geddes, Linda -- England -- Nature. 2015 Nov 5;527(7576):22-5. doi: 10.1038/527022a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26536940" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉England -- Nature. 2015 May 28;521(7553):394. doi: 10.1038/521394a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26017406" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉de Oliveira, Joao Ricardo Mendes -- England -- Nature. 2015 Oct 22;526(7574):506. doi: 10.1038/526506e.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Federal University of Pernambuco, Recife, Brazil.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26490608" target="_blank"〉PubMed〈/a〉

Description: Robots have transformed many industries, most notably manufacturing, and have the power to deliver tremendous benefits to society, such as in search and rescue, disaster response, health care and transportation. They are also invaluable tools for scientific exploration in environments inaccessible to humans, from distant planets to deep oceans. A major obstacle to their widespread adoption in more complex environments outside factories is their fragility. Whereas animals can quickly adapt to injuries, current robots cannot 'think outside the box' to find a compensatory behaviour when they are damaged: they are limited to their pre-specified self-sensing abilities, can diagnose only anticipated failure modes, and require a pre-programmed contingency plan for every type of potential damage, an impracticality for complex robots. A promising approach to reducing robot fragility involves having robots learn appropriate behaviours in response to damage, but current techniques are slow even with small, constrained search spaces. Here we introduce an intelligent trial-and-error algorithm that allows robots to adapt to damage in less than two minutes in large search spaces without requiring self-diagnosis or pre-specified contingency plans. Before the robot is deployed, it uses a novel technique to create a detailed map of the space of high-performing behaviours. This map represents the robot's prior knowledge about what behaviours it can perform and their value. When the robot is damaged, it uses this prior knowledge to guide a trial-and-error learning algorithm that conducts intelligent experiments to rapidly discover a behaviour that compensates for the damage. Experiments reveal successful adaptations for a legged robot injured in five different ways, including damaged, broken, and missing legs, and for a robotic arm with joints broken in 14 different ways. This new algorithm will enable more robust, effective, autonomous robots, and may shed light on the principles that animals use to adapt to injury.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Cully, Antoine -- Clune, Jeff -- Tarapore, Danesh -- Mouret, Jean-Baptiste -- England -- Nature. 2015 May 28;521(7553):503-7. doi: 10.1038/nature14422.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Sorbonne Universites, Universite Pierre et Marie Curie (UPMC), Paris 06, UMR 7222, Institut des Systemes Intelligents et de Robotique (ISIR), F-75005, Paris, France [2] CNRS, UMR 7222, Institut des Systemes Intelligents et de Robotique (ISIR), F-75005, Paris, France. ; Department of Computer Science, University of Wyoming, Laramie, Wyoming 82071, USA. ; 1] Sorbonne Universites, Universite Pierre et Marie Curie (UPMC), Paris 06, UMR 7222, Institut des Systemes Intelligents et de Robotique (ISIR), F-75005, Paris, France [2] CNRS, UMR 7222, Institut des Systemes Intelligents et de Robotique (ISIR), F-75005, Paris, France [3] Inria, Team Larsen, Villers-les-Nancy, F-54600, France [4] CNRS, Loria, UMR 7503, Vandoeuvre-les-Nancy, F-54500, France [5] Universite de Lorraine, Loria, UMR 7503, Vandoeuvre-les-Nancy, F-54500, France.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26017452" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Tollefson, Jeff -- England -- Nature. 2015 Sep 24;525(7570):434-5. doi: 10.1038/525434a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26399805" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Jones, Dan -- England -- Nature. 2015 Mar 12;519(7542):148-50. doi: 10.1038/519148a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25762265" target="_blank"〉PubMed〈/a〉

Description: Continuing degradation of coral reef ecosystems has generated substantial interest in how management can support reef resilience. Fishing is the primary source of diminished reef function globally, leading to widespread calls for additional marine reserves to recover fish biomass and restore key ecosystem functions. Yet there are no established baselines for determining when these conservation objectives have been met or whether alternative management strategies provide similar ecosystem benefits. Here we establish empirical conservation benchmarks and fish biomass recovery timelines against which coral reefs can be assessed and managed by studying the recovery potential of more than 800 coral reefs along an exploitation gradient. We show that resident reef fish biomass in the absence of fishing (B0) averages approximately 1,000 kg ha(-1), and that the vast majority (83%) of fished reefs are missing more than half their expected biomass, with severe consequences for key ecosystem functions such as predation. Given protection from fishing, reef fish biomass has the potential to recover within 35 years on average and less than 60 years when heavily depleted. Notably, alternative fisheries restrictions are largely (64%) successful at maintaining biomass above 50% of B0, sustaining key functions such as herbivory. Our results demonstrate that crucial ecosystem functions can be maintained through a range of fisheries restrictions, allowing coral reef managers to develop recovery plans that meet conservation and livelihood objectives in areas where marine reserves are not socially or politically feasible solutions.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉MacNeil, M Aaron -- Graham, Nicholas A J -- Cinner, Joshua E -- Wilson, Shaun K -- Williams, Ivor D -- Maina, Joseph -- Newman, Steven -- Friedlander, Alan M -- Jupiter, Stacy -- Polunin, Nicholas V C -- McClanahan, Tim R -- England -- Nature. 2015 Apr 16;520(7547):341-4. doi: 10.1038/nature14358. Epub 2015 Apr 8.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Australian Institute of Marine Science, PMB 3 Townsville MC, Townsville, Queensland 4810, Australia [2] Department of Mathematics and Statistics, Dalhousie University, Halifax, Nova Scotia B3H 3J5, Canada [3] Australian Research Council Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, Queensland 4811, Australia. ; Australian Research Council Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, Queensland 4811, Australia. ; 1] Department of Parks and Wildlife, Kensington, Perth, Western Australia 6151, Australia [2] Oceans Institute, University of Western Australia, Crawley, Western Australia 6009, Australia. ; Coral Reef Ecosystems Division, NOAA Pacific Islands Fisheries Science Center, Honolulu, Hawaii 96818, USA. ; 1] Australian Research Council Centre of Excellence for Environmental Decisions (CEED), University of Queensland, Brisbane, St Lucia, Queensland 4074, Australia [2] Wildlife Conservation Society, Marine Programs, Bronx, New York 10460, USA. ; School of Marine Science and Technology, Newcastle University, Newcastle upon Tyne NE1 7RU, UK. ; 1] Fisheries Ecology Research Lab, Department of Biology, University of Hawaii, Honolulu, Hawaii 96822, USA [2] Pristine Seas-National Geographic, Washington DC 20036, USA. ; Wildlife Conservation Society, Marine Programs, Bronx, New York 10460, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25855298" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gong, Zhaohui -- England -- Nature. 2015 Jan 8;517(7533):145. doi: 10.1038/517145c.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Ningbo University School of Medicine, Ningbo, China.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25567273" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Yang, Hong -- Thompson, Julian R -- Flower, Roger J -- England -- Nature. 2015 Sep 24;525(7570):455. doi: 10.1038/525455e.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉University of Oslo, Norway. ; University College London, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26399818" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gould, Julie -- England -- Nature. 2015 Dec 3;528(7580):22-5. doi: 10.1038/528022a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26632571" target="_blank"〉PubMed〈/a〉

Description: Growing evidence demonstrates that climatic conditions can have a profound impact on the functioning of modern human societies, but effects on economic activity appear inconsistent. Fundamental productive elements of modern economies, such as workers and crops, exhibit highly non-linear responses to local temperature even in wealthy countries. In contrast, aggregate macroeconomic productivity of entire wealthy countries is reported not to respond to temperature, while poor countries respond only linearly. Resolving this conflict between micro and macro observations is critical to understanding the role of wealth in coupled human-natural systems and to anticipating the global impact of climate change. Here we unify these seemingly contradictory results by accounting for non-linearity at the macro scale. We show that overall economic productivity is non-linear in temperature for all countries, with productivity peaking at an annual average temperature of 13 degrees C and declining strongly at higher temperatures. The relationship is globally generalizable, unchanged since 1960, and apparent for agricultural and non-agricultural activity in both rich and poor countries. These results provide the first evidence that economic activity in all regions is coupled to the global climate and establish a new empirical foundation for modelling economic loss in response to climate change, with important implications. If future adaptation mimics past adaptation, unmitigated warming is expected to reshape the global economy by reducing average global incomes roughly 23% by 2100 and widening global income inequality, relative to scenarios without climate change. In contrast to prior estimates, expected global losses are approximately linear in global mean temperature, with median losses many times larger than leading models indicate.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Burke, Marshall -- Hsiang, Solomon M -- Miguel, Edward -- England -- Nature. 2015 Nov 12;527(7577):235-9. doi: 10.1038/nature15725. Epub 2015 Oct 21.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Earth System Science, Stanford University, California 94305, USA. ; Center on Food Security and the Environment, Stanford University, California 94305, USA. ; Goldman School of Public Policy, University of California, Berkeley, California 94720, USA. ; National Bureau of Economic Research. ; Department of Economics, University of California, Berkeley, California, 94720, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26503051" target="_blank"〉PubMed〈/a〉

Description: The cave infills at Sterkfontein contain one of the richest assemblages of Australopithecus fossils in the world, including the nearly complete skeleton StW 573 ('Little Foot') in its lower section, as well as early stone tools in higher sections. However, the chronology of the site remains controversial owing to the complex history of cave infilling. Much of the existing chronology based on uranium-lead dating and palaeomagnetic stratigraphy has recently been called into question by the recognition that dated flowstones fill cavities formed within previously cemented breccias and therefore do not form a stratigraphic sequence. Earlier dating with cosmogenic nuclides suffered a high degree of uncertainty and has been questioned on grounds of sediment reworking. Here we use isochron burial dating with cosmogenic aluminium-26 and beryllium-10 to show that the breccia containing StW 573 did not undergo significant reworking, and that it was deposited 3.67 +/- 0.16 million years ago, far earlier than the 2.2 million year flowstones found within it. The skeleton is thus coeval with early Australopithecus afarensis in eastern Africa. We also date the earliest stone tools at Sterkfontein to 2.18 +/- 0.21 million years ago, placing them in the Oldowan at a time similar to that found elsewhere in South Africa at Swartkans and Wonderwerk.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Granger, Darryl E -- Gibbon, Ryan J -- Kuman, Kathleen -- Clarke, Ronald J -- Bruxelles, Laurent -- Caffee, Marc W -- England -- Nature. 2015 Jun 4;522(7554):85-8. doi: 10.1038/nature14268. Epub 2015 Apr 1.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Earth, Atmospheric, and Planetary Sciences, Purdue University, West Lafayette, Indiana 47907, USA. ; Department of Anthropology, University of New Brunswick, Fredericton, New Brunswick E3B 5A3, Canada. ; 1] Evolutionary Studies Institute, University of the Witwatersrand, WITS 2050, Johannesburg, South Africa [2] School of Geography, Archaeology and Environmental Studies, University of the Witwatersrand, WITS 2050, Johannesburg, South Africa. ; Evolutionary Studies Institute, University of the Witwatersrand, WITS 2050, Johannesburg, South Africa. ; 1] School of Geography, Archaeology and Environmental Studies, University of the Witwatersrand, WITS 2050, Johannesburg, South Africa [2] French National Institute for Preventive Archaeological Research (Inrap), 561 rue Etienne Lenoir, km delta, 30900 Nimes, France [3] University of Toulouse Jean Jaures, UMR 5608 du CNRS (TRACES), Maison de la Recherche, 5 Allees Antonio Matchado, F-31058 Toulouse, France. ; 1] Department of Earth, Atmospheric, and Planetary Sciences, Purdue University, West Lafayette, Indiana 47907, USA [2] Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25830884" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Butler, Declan -- England -- Nature. 2015 May 21;521(7552):269. doi: 10.1038/nature.2015.17560.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25993935" target="_blank"〉PubMed〈/a〉

Description: Most present-generation climate models simulate an increase in global-mean surface temperature (GMST) since 1998, whereas observations suggest a warming hiatus. It is unclear to what extent this mismatch is caused by incorrect model forcing, by incorrect model response to forcing or by random factors. Here we analyse simulations and observations of GMST from 1900 to 2012, and show that the distribution of simulated 15-year trends shows no systematic bias against the observations. Using a multiple regression approach that is physically motivated by surface energy balance, we isolate the impact of radiative forcing, climate feedback and ocean heat uptake on GMST--with the regression residual interpreted as internal variability--and assess all possible 15- and 62-year trends. The differences between simulated and observed trends are dominated by random internal variability over the shorter timescale and by variations in the radiative forcings used to drive models over the longer timescale. For either trend length, spread in simulated climate feedback leaves no traceable imprint on GMST trends or, consequently, on the difference between simulations and observations. The claim that climate models systematically overestimate the response to radiative forcing from increasing greenhouse gas concentrations therefore seems to be unfounded.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Marotzke, Jochem -- Forster, Piers M -- England -- Nature. 2015 Jan 29;517(7536):565-70. doi: 10.1038/nature14117.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Max Planck Institute for Meteorology, Bundesstrasse 53, 20146 Hamburg, Germany. ; School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25631444" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉England -- Nature. 2015 Jan 1;517(7532):5. doi: 10.1038/517005a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25557694" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Knight, Rob -- England -- Nature. 2015 Feb 26;518(7540):S5. doi: 10.1038/518S5a.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉University of California, San Diego.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25715279" target="_blank"〉PubMed〈/a〉

Description: Appropriate responses to an imminent threat brace us for adversities. The ability to sense and predict threatening or stressful events is essential for such adaptive behaviour. In the mammalian brain, one putative stress sensor is the paraventricular nucleus of the thalamus (PVT), an area that is readily activated by both physical and psychological stressors. However, the role of the PVT in the establishment of adaptive behavioural responses remains unclear. Here we show in mice that the PVT regulates fear processing in the lateral division of the central amygdala (CeL), a structure that orchestrates fear learning and expression. Selective inactivation of CeL-projecting PVT neurons prevented fear conditioning, an effect that can be accounted for by an impairment in fear-conditioning-induced synaptic potentiation onto somatostatin-expressing (SOM(+)) CeL neurons, which has previously been shown to store fear memory. Consistently, we found that PVT neurons preferentially innervate SOM(+) neurons in the CeL, and stimulation of PVT afferents facilitated SOM(+) neuron activity and promoted intra-CeL inhibition, two processes that are critical for fear learning and expression. Notably, PVT modulation of SOM(+) CeL neurons was mediated by activation of the brain-derived neurotrophic factor (BDNF) receptor tropomysin-related kinase B (TrkB). As a result, selective deletion of either Bdnf in the PVT or Trkb in SOM(+) CeL neurons impaired fear conditioning, while infusion of BDNF into the CeL enhanced fear learning and elicited unconditioned fear responses. Our results demonstrate that the PVT-CeL pathway constitutes a novel circuit essential for both the establishment of fear memory and the expression of fear responses, and uncover mechanisms linking stress detection in PVT with the emergence of adaptive behaviour.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4376633/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4376633/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Penzo, Mario A -- Robert, Vincent -- Tucciarone, Jason -- De Bundel, Dimitri -- Wang, Minghui -- Van Aelst, Linda -- Darvas, Martin -- Parada, Luis F -- Palmiter, Richard D -- He, Miao -- Huang, Z Josh -- Li, Bo -- R01 MH082808/MH/NIMH NIH HHS/ -- R01 MH094705/MH/NIMH NIH HHS/ -- R01 MH101214/MH/NIMH NIH HHS/ -- R01 NS082266/NS/NINDS NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2015 Mar 26;519(7544):455-9. doi: 10.1038/nature13978. Epub 2015 Jan 19.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA. ; 1] Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA [2] Ecole Normale Superieure de Cachan, 94230 Cachan, France. ; 1] Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA [2] Medical Scientist Training Program &Program in Neuroscience, Stony Brook University, Stony Brook, New York 11790, USA. ; CNRS, UMR-5203, INSERM U661, Institut de Genomique Fonctionnelle, 34090 Montpellier, France. ; Department of Pathology, University of Washington, Seattle, Washington 98104, USA. ; Department of Developmental Biology, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA. ; Howard Hughes Medical Institute; Department of Biochemistry, University of Washington, Seattle, Washington 98195, USA. ; Institutes of Brain Science and State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai 200032, China.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25600269" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Marris, Emma -- England -- Nature. 2015 Apr 23;520(7548):415. doi: 10.1038/nature.2015.17263.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25903602" target="_blank"〉PubMed〈/a〉