ALBERT

Description: Accurate prediction of the functional effect of genetic variation is critical for clinical genome interpretation. We systematically characterized the transcriptome effects of protein-truncating variants, a class of variants expected to have profound effects on gene function, using data from the Genotype-Tissue Expression (GTEx) and Geuvadis projects. We quantitated tissue-specific and positional effects on nonsense-mediated transcript decay and present an improved predictive model for this decay. We directly measured the effect of variants both proximal and distal to splice junctions. Furthermore, we found that robustness to heterozygous gene inactivation is not due to dosage compensation. Our results illustrate the value of transcriptome data in the functional interpretation of genetic variants.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4537935/" 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/PMC4537935/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Rivas, Manuel A -- Pirinen, Matti -- Conrad, Donald F -- Lek, Monkol -- Tsang, Emily K -- Karczewski, Konrad J -- Maller, Julian B -- Kukurba, Kimberly R -- DeLuca, David S -- Fromer, Menachem -- Ferreira, Pedro G -- Smith, Kevin S -- Zhang, Rui -- Zhao, Fengmei -- Banks, Eric -- Poplin, Ryan -- Ruderfer, Douglas M -- Purcell, Shaun M -- Tukiainen, Taru -- Minikel, Eric V -- Stenson, Peter D -- Cooper, David N -- Huang, Katharine H -- Sullivan, Timothy J -- Nedzel, Jared -- GTEx Consortium -- Geuvadis Consortium -- Bustamante, Carlos D -- Li, Jin Billy -- Daly, Mark J -- Guigo, Roderic -- Donnelly, Peter -- Ardlie, Kristin -- Sammeth, Michael -- Dermitzakis, Emmanouil T -- McCarthy, Mark I -- Montgomery, Stephen B -- Lappalainen, Tuuli -- MacArthur, Daniel G -- 090532/Wellcome Trust/United Kingdom -- 090532/Z/09/Z/Wellcome Trust/United Kingdom -- 095552/Wellcome Trust/United Kingdom -- 095552/Z/11/Z/Wellcome Trust/United Kingdom -- 098381/Wellcome Trust/United Kingdom -- DA006227/DA/NIDA NIH HHS/ -- HHSN261200800001E/CA/NCI NIH HHS/ -- HHSN261200800001E/PHS HHS/ -- HHSN268201000029C/HL/NHLBI NIH HHS/ -- HHSN268201000029C/PHS HHS/ -- MH090936/MH/NIMH NIH HHS/ -- MH090937/MH/NIMH NIH HHS/ -- MH090941/MH/NIMH NIH HHS/ -- MH090948/MH/NIMH NIH HHS/ -- MH090951/MH/NIMH NIH HHS/ -- P30 DK020595/DK/NIDDK NIH HHS/ -- R01 GM104371/GM/NIGMS NIH HHS/ -- R01 MH090941/MH/NIMH NIH HHS/ -- R01 MH101810/MH/NIMH NIH HHS/ -- R01 MH101814/MH/NIMH NIH HHS/ -- R01 MH101820/MH/NIMH NIH HHS/ -- R01GM104371/GM/NIGMS NIH HHS/ -- R01MH090941/MH/NIMH NIH HHS/ -- R01MH101810/MH/NIMH NIH HHS/ -- R01MH101814/MH/NIMH NIH HHS/ -- U01 HG007593/HG/NHGRI NIH HHS/ -- U01HG007593/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2015 May 8;348(6235):666-9. doi: 10.1126/science.1261877.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Wellcome Trust Centre for Human Genetics, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK. rivas@well.ox.ac.uk tlappalainen@nygenome.org macarthur@atgu.mgh.harvard.edu. ; FInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland. ; Washington University in St. Louis, St. Louis, MO, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA. ; Department of Genetics, Stanford University, Stanford, CA, USA. Department of Pathology, Stanford University, Stanford, CA, USA. Biomedical Informatics Program, Stanford University, Stanford, CA, USA. ; Department of Genetics, Stanford University, Stanford, CA, USA. Department of Pathology, Stanford University, Stanford, CA, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA. Department of Psychiatry, Mt. Sinai Hospital, NY, USA. ; Department of Genetic Medicine and Development,University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. ; Department of Genetics, Stanford University, Stanford, CA, USA. ; Department of Psychiatry, Mt. Sinai Hospital, NY, USA. Division of Psychiatric Genomics, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, NY, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA. Department of Psychiatry, Mt. Sinai Hospital, NY, USA. Division of Psychiatric Genomics, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, NY, USA. ; Institute of Medical Genetics, School of Medicine, Cardiff University, Heath Park, Cardiff, UK. ; Center for Genomic Regulation (CRG), Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. ; Wellcome Trust Centre for Human Genetics, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK. Department of Statistics, University of Oxford, Oxford, UK. ; Center for Genomic Regulation (CRG), Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. National Institute for Scientific Computing (LNCC), Petropolis, Rio de Janeiro, Brazil. ; Wellcome Trust Centre for Human Genetics, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK. Oxford Center for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, UK. ; Department of Genetics, Stanford University, Stanford, CA, USA. Department of Genetic Medicine and Development,University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. New York Genome Center, New York, NY, USA. Department of Systems Biology, Columbia University, New York, NY, USA. rivas@well.ox.ac.uk tlappalainen@nygenome.org macarthur@atgu.mgh.harvard.edu. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA. Department of Medicine, Harvard Medical School, Boston, MA, USA. rivas@well.ox.ac.uk tlappalainen@nygenome.org macarthur@atgu.mgh.harvard.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25954003" target="_blank"〉PubMed〈/a〉

Description: Transcriptional regulation and posttranscriptional processing underlie many cellular and organismal phenotypes. We used RNA sequence data generated by Genotype-Tissue Expression (GTEx) project to investigate the patterns of transcriptome variation across individuals and tissues. Tissues exhibit characteristic transcriptional signatures that show stability in postmortem samples. These signatures are dominated by a relatively small number of genes-which is most clearly seen in blood-though few are exclusive to a particular tissue and vary more across tissues than individuals. Genes exhibiting high interindividual expression variation include disease candidates associated with sex, ethnicity, and age. Primary transcription is the major driver of cellular specificity, with splicing playing mostly a complementary role; except for the brain, which exhibits a more divergent splicing program. Variation in splicing, despite its stochasticity, may play in contrast a comparatively greater role in defining individual phenotypes.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4547472/" 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/PMC4547472/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Mele, Marta -- Ferreira, Pedro G -- Reverter, Ferran -- DeLuca, David S -- Monlong, Jean -- Sammeth, Michael -- Young, Taylor R -- Goldmann, Jakob M -- Pervouchine, Dmitri D -- Sullivan, Timothy J -- Johnson, Rory -- Segre, Ayellet V -- Djebali, Sarah -- Niarchou, Anastasia -- GTEx Consortium -- Wright, Fred A -- Lappalainen, Tuuli -- Calvo, Miquel -- Getz, Gad -- Dermitzakis, Emmanouil T -- Ardlie, Kristin G -- Guigo, Roderic -- HHSN261200800001E/PHS HHS/ -- HHSN268201000029C/HL/NHLBI NIH HHS/ -- HHSN268201000029C/PHS HHS/ -- R01 DA006227-17/DA/NIDA NIH HHS/ -- R01 MH090936/MH/NIMH NIH HHS/ -- R01 MH090941/MH/NIMH NIH HHS/ -- New York, N.Y. -- Science. 2015 May 8;348(6235):660-5. doi: 10.1126/science.aaa0355.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Harvard Department of stem cell and regenerative biology, Harvard University, Cambridge, MA, USA. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. McGill University, Montreal, Canada. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. National Institute for Scientific Computing (LNCC), Petropolis, Rio de Janeiro, Brazil. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. Radboud University, Nijmegen, Netherlands. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. Faculty of Bioengineering and Bioinformatics, Moscow State University, Leninskie Gory 1-73, 119992 Moscow, Russia. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. ; Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Harvard Department of stem cell and regenerative biology, Harvard University, Cambridge, MA, USA. Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. Broad Institute of MIT and Harvard, Cambridge, MA, USA. McGill University, Montreal, Canada. National Institute for Scientific Computing (LNCC), Petropolis, Rio de Janeiro, Brazil. Radboud University, Nijmegen, Netherlands. Faculty of Bioengineering and Bioinformatics, Moscow State University, Leninskie Gory 1-73, 119992 Moscow, Russia. North Carolina State University, Raleigh, NC, USA. New York Genome Center, New York, NY, USA. Department of Systems Biology, Columbia University, New York, NY, USA. Cancer Center and Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA. Institut Hospital del Mar d'Investigacions Mediques (IMIM), Barcelona, Catalonia, Spain. Joint CRG-Barcelona Super Computing Center (BSC)-Institut de Recerca Biomedica (IRB) Program in Computational Biology, Barcelona, Catalonia, Spain. ; North Carolina State University, Raleigh, NC, USA. ; Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. New York Genome Center, New York, NY, USA. Department of Systems Biology, Columbia University, New York, NY, USA. ; Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Catalonia, Spain. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. Cancer Center and Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. kardlie@broadinstitute.org roderic.guigo@crg.cat. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. Institut Hospital del Mar d'Investigacions Mediques (IMIM), Barcelona, Catalonia, Spain. Joint CRG-Barcelona Super Computing Center (BSC)-Institut de Recerca Biomedica (IRB) Program in Computational Biology, Barcelona, Catalonia, Spain. kardlie@broadinstitute.org roderic.guigo@crg.cat.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25954002" target="_blank"〉PubMed〈/a〉

Description: Dysfunction of microRNA (miRNA) metabolism is thought to underlie diseases affecting motoneurons. One miRNA, miR-218, is abundantly and selectively expressed by developing and mature motoneurons. Here we show that mutant mice lacking miR-218 die neonatally and exhibit neuromuscular junction defects, motoneuron hyperexcitability, and progressive motoneuron cell loss, all of which are hallmarks of motoneuron diseases such as amyotrophic lateral sclerosis and spinal muscular atrophy. Gene profiling reveals that miR-218 modestly represses a cohort of hundreds of genes that are neuronally enriched but are not specific to a single neuron subpopulation. Thus, the set of messenger RNAs targeted by miR-218, designated TARGET(218), defines a neuronal gene network that is selectively tuned down in motoneurons to prevent neuromuscular failure and neurodegeneration.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Amin, Neal D -- Bai, Ge -- Klug, Jason R -- Bonanomi, Dario -- Pankratz, Matthew T -- Gifford, Wesley D -- Hinckley, Christopher A -- Sternfeld, Matthew J -- Driscoll, Shawn P -- Dominguez, Bertha -- Lee, Kuo-Fen -- Jin, Xin -- Pfaff, Samuel L -- F31-NS080340-03/NS/NINDS NIH HHS/ -- P30 CA014195/CA/NCI NIH HHS/ -- P30 NS072031/NS/NINDS NIH HHS/ -- R01AG0476669/AG/NIA NIH HHS/ -- R01GM088278/GM/NIGMS NIH HHS/ -- R01NS044420/NS/NINDS NIH HHS/ -- R01NS054154/NS/NINDS NIH HHS/ -- R01NS060833/NS/NINDS NIH HHS/ -- R21NS084254/NS/NINDS NIH HHS/ -- T32-GM007198/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2015 Dec 18;350(6267):1525-9. doi: 10.1126/science.aad2509.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Howard Hughes Medical Institute and Gene Expression Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA. Medical Scientist Training Program, University of California, San Diego (UCSD), 9500 Gilman Drive, La Jolla, CA 92037, USA. Biomedical Sciences Graduate Program, UCSD, 9500 Gilman Drive, La Jolla, CA 92037, USA. ; Howard Hughes Medical Institute and Gene Expression Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA. ; Molecular Neurobiology Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA. ; Howard Hughes Medical Institute and Gene Expression Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA. Medical Scientist Training Program, University of California, San Diego (UCSD), 9500 Gilman Drive, La Jolla, CA 92037, USA. Neurosciences Graduate Program, UCSD, 9500 Gilman Drive, La Jolla, CA 92037, USA. ; Howard Hughes Medical Institute and Gene Expression Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA. Biological Sciences Graduate Program, UCSD, 9500 Gilman Drive, La Jolla, CA 92037, USA. ; Peptide Biology Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA. ; Howard Hughes Medical Institute and Gene Expression Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA. pfaff@salk.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26680198" target="_blank"〉PubMed〈/a〉

Description: Circadian and metabolic physiology are intricately intertwined, as illustrated by Rev-erbalpha, a transcription factor (TF) that functions both as a core repressive component of the cell-autonomous clock and as a regulator of metabolic genes. Here, we show that Rev-erbalpha modulates the clock and metabolism by different genomic mechanisms. Clock control requires Rev-erbalpha to bind directly to the genome at its cognate sites, where it competes with activating ROR TFs. By contrast, Rev-erbalpha regulates metabolic genes primarily by recruiting the HDAC3 co-repressor to sites to which it is tethered by cell type-specific transcription factors. Thus, direct competition between Rev-erbalpha and ROR TFs provides a universal mechanism for self-sustained control of the molecular clock across all tissues, whereas Rev-erbalpha uses lineage-determining factors to convey a tissue-specific epigenomic rhythm that regulates metabolism tailored to the specific need of that tissue.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4613749/" 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/PMC4613749/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Zhang, Yuxiang -- Fang, Bin -- Emmett, Matthew J -- Damle, Manashree -- Sun, Zheng -- Feng, Dan -- Armour, Sean M -- Remsberg, Jarrett R -- Jager, Jennifer -- Soccio, Raymond E -- Steger, David J -- Lazar, Mitchell A -- F30 DK104513/DK/NIDDK NIH HHS/ -- F32 DK102284/DK/NIDDK NIH HHS/ -- K08 DK094968/DK/NIDDK NIH HHS/ -- P30 DK019525/DK/NIDDK NIH HHS/ -- P30 DK050306/DK/NIDDK NIH HHS/ -- P30 DK19525/DK/NIDDK NIH HHS/ -- R00 DK099443/DK/NIDDK NIH HHS/ -- R01 DK045586/DK/NIDDK NIH HHS/ -- R01 DK098542/DK/NIDDK NIH HHS/ -- R01 DK45586/DK/NIDDK NIH HHS/ -- T32 GM0008275/GM/NIGMS NIH HHS/ -- T32 GM008275/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2015 Jun 26;348(6242):1488-92. doi: 10.1126/science.aab3021. Epub 2015 Jun 4.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Department of Genetics, and the Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. ; Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Department of Genetics, and the Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. Department of Molecular and Cellular Biology, Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA. ; Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Department of Genetics, and the Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. lazar@mail.med.upenn.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26044300" target="_blank"〉PubMed〈/a〉

Description: Polycomb and Trithorax group proteins encode the epigenetic memory of cellular positional identity by establishing inheritable domains of repressive and active chromatin within the Hox clusters. Here we demonstrate that the CCCTC-binding factor (CTCF) functions to insulate these adjacent yet antagonistic chromatin domains during embryonic stem cell differentiation into cervical motor neurons. Deletion of CTCF binding sites within the Hox clusters results in the expansion of active chromatin into the repressive domain. CTCF functions as an insulator by organizing Hox clusters into spatially disjoint domains. Ablation of CTCF binding disrupts topological boundaries such that caudal Hox genes leave the repressed domain and become subject to transcriptional activation. Hence, CTCF is required to insulate facultative heterochromatin from impinging euchromatin to produce discrete positional identities.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4428148/" 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/PMC4428148/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Narendra, Varun -- Rocha, Pedro P -- An, Disi -- Raviram, Ramya -- Skok, Jane A -- Mazzoni, Esteban O -- Reinberg, Danny -- GM-64844/GM/NIGMS NIH HHS/ -- GM086852/GM/NIGMS NIH HHS/ -- GM112192/GM/NIGMS NIH HHS/ -- P30 CA016087/CA/NCI NIH HHS/ -- R01 GM086852/GM/NIGMS NIH HHS/ -- R01 GM112192/GM/NIGMS NIH HHS/ -- R01 HD079682/HD/NICHD NIH HHS/ -- R01HD079682/HD/NICHD NIH HHS/ -- R37-37120/PHS HHS/ -- T32 GM007238/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2015 Feb 27;347(6225):1017-21. doi: 10.1126/science.1262088.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA. Department of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, NY 10016, USA. ; Department of Pathology, New York University School of Medicine, New York, NY 10016, USA. ; Department of Biology, New York University, New York, NY 10003, USA. ; Department of Biology, New York University, New York, NY 10003, USA. danny.reinberg@nyumc.org eom204@nyu.edu. ; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA. Department of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, NY 10016, USA. danny.reinberg@nyumc.org eom204@nyu.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25722416" target="_blank"〉PubMed〈/a〉

Description: Dinoflagellates are important components of marine ecosystems and essential coral symbionts, yet little is known about their genomes. We report here on the analysis of a high-quality assembly from the 1180-megabase genome of Symbiodinium kawagutii. We annotated protein-coding genes and identified Symbiodinium-specific gene families. No whole-genome duplication was observed, but instead we found active (retro)transposition and gene family expansion, especially in processes important for successful symbiosis with corals. We also documented genes potentially governing sexual reproduction and cyst formation, novel promoter elements, and a microRNA system potentially regulating gene expression in both symbiont and coral. We found biochemical complementarity between genomes of S. kawagutii and the anthozoan Acropora, indicative of host-symbiont coevolution, providing a resource for studying the molecular basis and evolution of coral symbiosis.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lin, Senjie -- Cheng, Shifeng -- Song, Bo -- Zhong, Xiao -- Lin, Xin -- Li, Wujiao -- Li, Ling -- Zhang, Yaqun -- Zhang, Huan -- Ji, Zhiliang -- Cai, Meichun -- Zhuang, Yunyun -- Shi, Xinguo -- Lin, Lingxiao -- Wang, Lu -- Wang, Zhaobao -- Liu, Xin -- Yu, Sheng -- Zeng, Peng -- Hao, Han -- Zou, Quan -- Chen, Chengxuan -- Li, Yanjun -- Wang, Ying -- Xu, Chunyan -- Meng, Shanshan -- Xu, Xun -- Wang, Jun -- Yang, Huanming -- Campbell, David A -- Sturm, Nancy R -- Dagenais-Bellefeuille, Steve -- Morse, David -- AI056034/AI/NIAID NIH HHS/ -- AI073806/AI/NIAID NIH HHS/ -- New York, N.Y. -- Science. 2015 Nov 6;350(6261):691-4. doi: 10.1126/science.aad0408.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉State Key Laboratory of Marine Environmental Science and Marine Biodiversity and Global Change Research Center, Xiamen University, Xiamen 361101, China. Department of Marine Sciences, University of Connecticut, Groton, CT 06340, USA. senjie.lin@uconn.edu. ; Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China. Hong Kong University (HKU)-BGI Bioinformatics Algorithms and Core Technology Research Laboratory, The Computer Science Department, The University of Hong Kong, Hong Kong, China. School of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong, China. ; Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China. ; State Key Laboratory of Marine Environmental Science and Marine Biodiversity and Global Change Research Center, Xiamen University, Xiamen 361101, China. ; Department of Marine Sciences, University of Connecticut, Groton, CT 06340, USA. ; State Key Laboratory of Stress Cell Biology, School of Life Sciences, Xiamen University, Xiamen 361101, China. ; Bioinformatics Institute, Agency for Science, Technology and Research, Singapore. ; Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China. Department of Biology, University of Copenhagen, DK-2200 Copenhagen, Denmark. Princess Al Jawhara Center of Excellence in the Research of Hereditary Disorders, King Abdulaziz University, Jeddah, Saudi Arabia. ; Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China. Princess Al Jawhara Center of Excellence in the Research of Hereditary Disorders, King Abdulaziz University, Jeddah, Saudi Arabia. James D. Watson Institute of Genome Science, Hangzhou, China. ; Department of Microbiology, Immunology, and Molecular Genetics, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095, USA. ; Institut de Recherche en Biologie Vegetale, Departement de Sciences Biologiques, Universite de Montreal, Montreal, Canada.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26542574" target="_blank"〉PubMed〈/a〉

Description: MicroRNAs (miRNAs) repress the expression of many genes in metazoans by accelerating messenger RNA degradation and inhibiting translation, thereby reducing the level of protein. However, miRNAs only slightly reduce the mean expression of most targeted proteins, leading to speculation about their role in the variability, or noise, of protein expression. We used mathematical modeling and single-cell reporter assays to show that miRNAs, in conjunction with increased transcription, decrease protein expression noise for lowly expressed genes but increase noise for highly expressed genes. Genes that are regulated by multiple miRNAs show more-pronounced noise reduction. We estimate that hundreds of (lowly expressed) genes in mouse embryonic stem cells have reduced noise due to substantial miRNA regulation. Our findings suggest that miRNAs confer precision to protein expression and thus offer plausible explanations for the commonly observed combinatorial targeting of endogenous genes by multiple miRNAs, as well as the preferential targeting of lowly expressed genes.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Schmiedel, Jorn M -- Klemm, Sandy L -- Zheng, Yannan -- Sahay, Apratim -- Bluthgen, Nils -- Marks, Debora S -- van Oudenaarden, Alexander -- New York, N.Y. -- Science. 2015 Apr 3;348(6230):128-32. doi: 10.1126/science.aaa1738.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Integrative Research Institute for the Life Sciences and Institute for Theoretical Biology, Humboldt Universitat, 10115 Berlin, Germany. Institute of Pathology, Charite-Universitatsmedizin, 10117 Berlin, Germany. Department of Physics, Massachusetts Institute of Technology (MIT), Cambridge MA 02139, USA. ; Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA 02139, USA. ; Department of Physics, Massachusetts Institute of Technology (MIT), Cambridge MA 02139, USA. ; Integrative Research Institute for the Life Sciences and Institute for Theoretical Biology, Humboldt Universitat, 10115 Berlin, Germany. Institute of Pathology, Charite-Universitatsmedizin, 10117 Berlin, Germany. nils.bluethgen@charite.de debbie@hms.harvard.edu a.vanoudenaarden@hubrecht.eu. ; Department of Systems Biology, Harvard Medical School, Longwood Avenue, Boston, MA 02115, USA. nils.bluethgen@charite.de debbie@hms.harvard.edu a.vanoudenaarden@hubrecht.eu. ; Department of Physics, Massachusetts Institute of Technology (MIT), Cambridge MA 02139, USA. Department of Biology, MIT, Cambridge, MA 02139, USA. Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences, and University Medical Center Utrecht, Uppsalalaan 8, 3584 CT, Utrecht, Netherlands. nils.bluethgen@charite.de debbie@hms.harvard.edu a.vanoudenaarden@hubrecht.eu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25838385" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Li, Jingyi Jessica -- Biggin, Mark D -- New York, N.Y. -- Science. 2015 Mar 6;347(6226):1066-7. doi: 10.1126/science.aaa8332.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Statistics and Department of Human Genetics, University of California, Los Angeles, CA 90095, USA. jli@stat.ucla.edu mdbiggin@lbl.gov. ; Genomics Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA. jli@stat.ucla.edu mdbiggin@lbl.gov.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25745146" target="_blank"〉PubMed〈/a〉

Description: Memory stabilization after learning requires translational and transcriptional regulations in the brain, yet the temporal molecular changes that occur after learning have not been explored at the genomic scale. We used ribosome profiling and RNA sequencing to quantify the translational status and transcript levels in the mouse hippocampus after contextual fear conditioning. We revealed three types of repressive regulations: translational suppression of ribosomal protein-coding genes in the hippocampus, learning-induced early translational repression of specific genes, and late persistent suppression of a subset of genes via inhibition of estrogen receptor 1 (ESR1/ERalpha) signaling. In behavioral analyses, overexpressing Nrsn1, one of the newly identified genes undergoing rapid translational repression, or activating ESR1 in the hippocampus impaired memory formation. Collectively, this study unveils the yet-unappreciated importance of gene repression mechanisms for memory formation.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Cho, Jun -- Yu, Nam-Kyung -- Choi, Jun-Hyeok -- Sim, Su-Eon -- Kang, SukJae Joshua -- Kwak, Chuljung -- Lee, Seung-Woo -- Kim, Ji-il -- Choi, Dong Il -- Kim, V Narry -- Kaang, Bong-Kiun -- New York, N.Y. -- Science. 2015 Oct 2;350(6256):82-7. doi: 10.1126/science.aac7368.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for RNA Research, Institute for Basic Science, Seoul 151-742, Korea. Department of Biological Sciences, College of Natural Sciences, Seoul National University, Seoul 151-747, Korea. ; Department of Biological Sciences, College of Natural Sciences, Seoul National University, Seoul 151-747, Korea. ; Center for RNA Research, Institute for Basic Science, Seoul 151-742, Korea. Department of Biological Sciences, College of Natural Sciences, Seoul National University, Seoul 151-747, Korea. narrykim@snu.ac.kr kaang@snu.ac.kr. ; Department of Biological Sciences, College of Natural Sciences, Seoul National University, Seoul 151-747, Korea. narrykim@snu.ac.kr kaang@snu.ac.kr.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26430118" target="_blank"〉PubMed〈/a〉

Description: The DNA-binding protein PRDM9 has a critical role in specifying meiotic recombination hotspots in mice and apes, but it appears to be absent from other vertebrate species, including birds. To study the evolution and determinants of recombination in species lacking the gene that encodes PRDM9, we inferred fine-scale genetic maps from population resequencing data for two bird species: the zebra finch, Taeniopygia guttata, and the long-tailed finch, Poephila acuticauda. We found that both species have recombination hotspots, which are enriched near functional genomic elements. Unlike in mice and apes, most hotspots are shared between the two species, and their conservation seems to extend over tens of millions of years. These observations suggest that in the absence of PRDM9, recombination targets functional features that both enable access to the genome and constrain its evolution.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Singhal, Sonal -- Leffler, Ellen M -- Sannareddy, Keerthi -- Turner, Isaac -- Venn, Oliver -- Hooper, Daniel M -- Strand, Alva I -- Li, Qiye -- Raney, Brian -- Balakrishnan, Christopher N -- Griffith, Simon C -- McVean, Gil -- Przeworski, Molly -- 086786/Z/08/Z/Wellcome Trust/United Kingdom -- 090532/Z/09/Z/Wellcome Trust/United Kingdom -- 100956/Wellcome Trust/United Kingdom -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2015 Nov 20;350(6263):928-32. doi: 10.1126/science.aad0843.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biological Sciences, Columbia University, New York, NY 10027, USA. Department of Systems Biology, Columbia University, New York, NY 10032, USA. sonal.singhal1@gmail.com molly.przew@gmail.com. ; Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA. Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK. ; Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA. ; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK. ; Committee on Evolutionary Biology, University of Chicago, Chicago, IL 60637, USA. ; Department of Biological Sciences, Columbia University, New York, NY 10027, USA. ; China National Genebank, BGI-Shenzhen, Shenzhen 518083, China. ; Center for Biomolecular Science and Engineering, University of California-Santa Cruz, Santa Cruz, CA 95064, USA. ; Department of Biology, East Carolina University, Greenville, NC 27858, USA. ; Department of Biological Sciences, Macquarie University, Sydney, NSW 2109, Australia.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26586757" target="_blank"〉PubMed〈/a〉