ALBERT

Description: Residents of the Tibetan Plateau show heritable adaptations to extreme altitude. We sequenced 50 exomes of ethnic Tibetans, encompassing coding sequences of 92% of human genes, with an average coverage of 18x per individual. Genes showing population-specific allele frequency changes, which represent strong candidates for altitude adaptation, were identified. The strongest signal of natural selection came from endothelial Per-Arnt-Sim (PAS) domain protein 1 (EPAS1), a transcription factor involved in response to hypoxia. One single-nucleotide polymorphism (SNP) at EPAS1 shows a 78% frequency difference between Tibetan and Han samples, representing the fastest allele frequency change observed at any human gene to date. This SNP's association with erythrocyte abundance supports the role of EPAS1 in adaptation to hypoxia. Thus, a population genomic survey has revealed a functionally important locus in genetic adaptation to high altitude.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3711608/" 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/PMC3711608/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Yi, Xin -- Liang, Yu -- Huerta-Sanchez, Emilia -- Jin, Xin -- Cuo, Zha Xi Ping -- Pool, John E -- Xu, Xun -- Jiang, Hui -- Vinckenbosch, Nicolas -- Korneliussen, Thorfinn Sand -- Zheng, Hancheng -- Liu, Tao -- He, Weiming -- Li, Kui -- Luo, Ruibang -- Nie, Xifang -- Wu, Honglong -- Zhao, Meiru -- Cao, Hongzhi -- Zou, Jing -- Shan, Ying -- Li, Shuzheng -- Yang, Qi -- Asan -- Ni, Peixiang -- Tian, Geng -- Xu, Junming -- Liu, Xiao -- Jiang, Tao -- Wu, Renhua -- Zhou, Guangyu -- Tang, Meifang -- Qin, Junjie -- Wang, Tong -- Feng, Shuijian -- Li, Guohong -- Huasang -- Luosang, Jiangbai -- Wang, Wei -- Chen, Fang -- Wang, Yading -- Zheng, Xiaoguang -- Li, Zhuo -- Bianba, Zhuoma -- Yang, Ge -- Wang, Xinping -- Tang, Shuhui -- Gao, Guoyi -- Chen, Yong -- Luo, Zhen -- Gusang, Lamu -- Cao, Zheng -- Zhang, Qinghui -- Ouyang, Weihan -- Ren, Xiaoli -- Liang, Huiqing -- Zheng, Huisong -- Huang, Yebo -- Li, Jingxiang -- Bolund, Lars -- Kristiansen, Karsten -- Li, Yingrui -- Zhang, Yong -- Zhang, Xiuqing -- Li, Ruiqiang -- Li, Songgang -- Yang, Huanming -- Nielsen, Rasmus -- Wang, Jun -- Wang, Jian -- R01 HG003229/HG/NHGRI NIH HHS/ -- R01 MH084695/MH/NIMH NIH HHS/ -- R01HG003229/HG/NHGRI NIH HHS/ -- R01MHG084695/PHS HHS/ -- New York, N.Y. -- Science. 2010 Jul 2;329(5987):75-8. doi: 10.1126/science.1190371.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉BGI-Shenzhen, Shenzhen 518083, China.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20595611" target="_blank"〉PubMed〈/a〉

Description: Birds are the most species-rich class of tetrapod vertebrates and have wide relevance across many research fields. We explored bird macroevolution using full genomes from 48 avian species representing all major extant clades. The avian genome is principally characterized by its constrained size, which predominantly arose because of lineage-specific erosion of repetitive elements, large segmental deletions, and gene loss. Avian genomes furthermore show a remarkably high degree of evolutionary stasis at the levels of nucleotide sequence, gene synteny, and chromosomal structure. Despite this pattern of conservation, we detected many non-neutral evolutionary changes in protein-coding genes and noncoding regions. These analyses reveal that pan-avian genomic diversity covaries with adaptations to different lifestyles and convergent evolution of traits.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4390078/" 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/PMC4390078/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Zhang, Guojie -- Li, Cai -- Li, Qiye -- Li, Bo -- Larkin, Denis M -- Lee, Chul -- Storz, Jay F -- Antunes, Agostinho -- Greenwold, Matthew J -- Meredith, Robert W -- Odeen, Anders -- Cui, Jie -- Zhou, Qi -- Xu, Luohao -- Pan, Hailin -- Wang, Zongji -- Jin, Lijun -- Zhang, Pei -- Hu, Haofu -- Yang, Wei -- Hu, Jiang -- Xiao, Jin -- Yang, Zhikai -- Liu, Yang -- Xie, Qiaolin -- Yu, Hao -- Lian, Jinmin -- Wen, Ping -- Zhang, Fang -- Li, Hui -- Zeng, Yongli -- Xiong, Zijun -- Liu, Shiping -- Zhou, Long -- Huang, Zhiyong -- An, Na -- Wang, Jie -- Zheng, Qiumei -- Xiong, Yingqi -- Wang, Guangbiao -- Wang, Bo -- Wang, Jingjing -- Fan, Yu -- da Fonseca, Rute R -- Alfaro-Nunez, Alonzo -- Schubert, Mikkel -- Orlando, Ludovic -- Mourier, Tobias -- Howard, Jason T -- Ganapathy, Ganeshkumar -- Pfenning, Andreas -- Whitney, Osceola -- Rivas, Miriam V -- Hara, Erina -- Smith, Julia -- Farre, Marta -- Narayan, Jitendra -- Slavov, Gancho -- Romanov, Michael N -- Borges, Rui -- Machado, Joao Paulo -- Khan, Imran -- Springer, Mark S -- Gatesy, John -- Hoffmann, Federico G -- Opazo, Juan C -- Hastad, Olle -- Sawyer, Roger H -- Kim, Heebal -- Kim, Kyu-Won -- Kim, Hyeon Jeong -- Cho, Seoae -- Li, Ning -- Huang, Yinhua -- Bruford, Michael W -- Zhan, Xiangjiang -- Dixon, Andrew -- Bertelsen, Mads F -- Derryberry, Elizabeth -- Warren, Wesley -- Wilson, Richard K -- Li, Shengbin -- Ray, David A -- Green, Richard E -- O'Brien, Stephen J -- Griffin, Darren -- Johnson, Warren E -- Haussler, David -- Ryder, Oliver A -- Willerslev, Eske -- Graves, Gary R -- Alstrom, Per -- Fjeldsa, Jon -- Mindell, David P -- Edwards, Scott V -- Braun, Edward L -- Rahbek, Carsten -- Burt, David W -- Houde, Peter -- Zhang, Yong -- Yang, Huanming -- Wang, Jian -- Avian Genome Consortium -- Jarvis, Erich D -- Gilbert, M Thomas P -- Wang, Jun -- DP1 OD000448/OD/NIH HHS/ -- DP1OD000448/OD/NIH HHS/ -- R01 HL087216/HL/NHLBI NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2014 Dec 12;346(6215):1311-20. doi: 10.1126/science.1251385. Epub 2014 Dec 11.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉China National GeneBank, Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China. Centre for Social Evolution, Department of Biology, Universitetsparken 15, University of Copenhagen, DK-2100 Copenhagen, Denmark. zhanggj@genomics.cn jarvis@neuro.duke.edu mtpgilbert@gmail.com wangj@genomics.cn. ; China National GeneBank, Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China. Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Oster Voldgade 5-7, 1350 Copenhagen, Denmark. ; China National GeneBank, Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China. ; Royal Veterinary College, University of London, London, UK. ; Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 151-742, Republic of Korea. Cho and Kim Genomics, Seoul National University Research Park, Seoul 151-919, Republic of Korea. ; School of Biological Sciences, University of Nebraska, Lincoln, NE 68588, USA. ; Centro de Investigacion en Ciencias del Mar y Limnologia (CIMAR)/Centro Interdisciplinar de Investigacao Marinha e Ambiental (CIIMAR), Universidade do Porto, Rua dos Bragas, 177, 4050-123 Porto, Portugal. Departamento de Biologia, Faculdade de Ciencias, Universidade do Porto, Rua do Campo Alegre, 4169-007 Porto, Portugal. ; Department of Biological Sciences, University of South Carolina, Columbia, SC, USA. ; Department of Biology and Molecular Biology, Montclair State University, Montclair, NJ 07043, USA. ; Department of Animal Ecology, Uppsala University, Norbyvagen 18D, S-752 36 Uppsala, Sweden. ; Marie Bashir Institute for Infectious Diseases and Biosecurity, Charles Perkins Centre, School of Biological Sciences and Sydney Medical School, The University of Sydney, Sydney, NSW 2006, Australia. Program in Emerging Infectious Diseases, Duke-NUS Graduate Medical School, Singapore 169857, Singapore. ; Department of Integrative Biology University of California, Berkeley, CA 94720, USA. ; China National GeneBank, Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China. College of Life Sciences, Wuhan University, Wuhan 430072, China. ; China National GeneBank, Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China. School of Bioscience and Bioengineering, South China University of Technology, Guangzhou 510006, China. ; China National GeneBank, Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China. BGI Education Center,University of Chinese Academy of Sciences,Shenzhen, 518083, China. ; Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan 650223, China. ; Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Oster Voldgade 5-7, 1350 Copenhagen, Denmark. ; Department of Neurobiology, Howard Hughes Medical Institute, Duke University Medical Center, Durham, NC 27710, USA. ; Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, UK. ; School of Biosciences, University of Kent, Canterbury CT2 7NJ, UK. ; Centro de Investigacion en Ciencias del Mar y Limnologia (CIMAR)/Centro Interdisciplinar de Investigacao Marinha e Ambiental (CIIMAR), Universidade do Porto, Rua dos Bragas, 177, 4050-123 Porto, Portugal. Instituto de Ciencias Biomedicas Abel Salazar (ICBAS), Universidade do Porto, Portugal. ; Department of Biology, University of California Riverside, Riverside, CA 92521, USA. ; Department of Biochemistry, Molecular Biology, Entomology and Plant Pathology, Mississippi State University, Mississippi State, MS 39762, USA. Institute for Genomics, Biocomputing and Biotechnology, Mississippi State University, Mississippi State, MS 39762, USA. ; Instituto de Ciencias Ambientales y Evolutivas, Facultad de Ciencias, Universidad Austral de Chile, Valdivia, Chile. ; Department of Anatomy, Physiology and Biochemistry, Swedish University of Agricultural Sciences, Post Office Box 7011, S-750 07, Uppsala, Sweden. ; Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 151-742, Republic of Korea. Cho and Kim Genomics, Seoul National University Research Park, Seoul 151-919, Republic of Korea. Department of Agricultural Biotechnology and Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul 151-742, Republic of Korea. ; Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 151-742, Republic of Korea. ; Cho and Kim Genomics, Seoul National University Research Park, Seoul 151-919, Republic of Korea. ; State Key Laboratory for Agrobiotechnology, China Agricultural University, Beijing 100094, China. ; State Key Laboratory for Agrobiotechnology, China Agricultural University, Beijing 100094, China. College of Animal Science and Technology, China Agricultural University, Beijing 100094, China. ; Organisms and Environment Division, Cardiff School of Biosciences, Cardiff University, Cardiff CF10 3AX, Wales, UK. ; Organisms and Environment Division, Cardiff School of Biosciences, Cardiff University, Cardiff CF10 3AX, Wales, UK. Key Lab of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101 China. ; International Wildlife Consultants, Carmarthen SA33 5YL, Wales, UK. ; Centre for Zoo and Wild Animal Health, Copenhagen Zoo, Roskildevej 38, DK-2000 Frederiksberg, Denmark. ; Department of Ecology and Evolutionary Biology, Tulane University, New Orleans, LA, USA. Museum of Natural Science, Louisiana State University, Baton Rouge, LA 70803, USA. ; The Genome Institute at Washington University, St. Louis, MO 63108, USA. ; College of Medicine and Forensics, Xi'an Jiaotong University, Xi'an, 710061, China. ; Institute for Genomics, Biocomputing and Biotechnology, Mississippi State University, Mississippi State, MS 39762, USA. ; Department of Biomolecular Engineering, University of California, Santa Cruz, CA 95064, USA. ; Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russia. Nova Southeastern University Oceanographic Center 8000 N Ocean Drive, Dania, FL 33004, USA. ; Smithsonian Conservation Biology Institute, National Zoological Park, 1500 Remount Road, Front Royal, VA 22630, USA. ; Genetics Division, San Diego Zoo Institute for Conservation Research, 15600 San Pasqual Valley Road, Escondido, CA 92027, USA. ; Department of Vertebrate Zoology, MRC-116, National Museum of Natural History, Smithsonian Institution, Post Office Box 37012, Washington, DC 20013-7012, USA. Center for Macroecology, Evolution and Climate, the Natural History Museum of Denmark, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen O, Denmark. ; Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, 1 Beichen West Road, Chaoyang District, Beijing 100101, China. Swedish Species Information Centre, Swedish University of Agricultural Sciences, Box 7007, SE-750 07 Uppsala, Sweden. ; Center for Macroecology, Evolution and Climate, the Natural History Museum of Denmark, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen O, Denmark. ; Department of Biochemistry & Biophysics, University of California, San Francisco, CA 94158, USA. ; Department of Organismic and Evolutionary Biology and Museum of Comparative Zoology, Harvard University, 26 Oxford Street, Cambridge, MA 02138, USA. ; Department of Biology and Genetics Institute, University of Florida, Gainesville, FL 32611, USA. ; Center for Macroecology, Evolution and Climate, the Natural History Museum of Denmark, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen O, Denmark. Imperial College London, Grand Challenges in Ecosystems and the Environment Initiative, Silwood Park Campus, Ascot, Berkshire SL5 7PY, UK. ; Division of Genetics and Genomics, The Roslin Institute and Royal (Dick) School of Veterinary Studies, The Roslin Institute Building, University of Edinburgh, Easter Bush Campus, Midlothian EH25 9RG, UK. ; Department of Biology, New Mexico State University, Box 30001 MSC 3AF, Las Cruces, NM 88003, USA. ; China National GeneBank, Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China. Macau University of Science and Technology, Avenida Wai long, Taipa, Macau 999078, China. ; Department of Neurobiology, Howard Hughes Medical Institute, Duke University Medical Center, Durham, NC 27710, USA. zhanggj@genomics.cn jarvis@neuro.duke.edu mtpgilbert@gmail.com wangj@genomics.cn. ; Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Oster Voldgade 5-7, 1350 Copenhagen, Denmark. Trace and Environmental DNA Laboratory, Department of Environment and Agriculture, Curtin University, Perth, Western Australia, 6102, Australia. zhanggj@genomics.cn jarvis@neuro.duke.edu mtpgilbert@gmail.com wangj@genomics.cn. ; China National GeneBank, Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China. Macau University of Science and Technology, Avenida Wai long, Taipa, Macau 999078, China. Department of Biology, University of Copenhagen, Ole Maaloes Vej 5, 2200 Copenhagen, Denmark. Princess Al Jawhara Center of Excellence in the Research of Hereditary Disorders, King Abdulaziz University, Jeddah 21589, Saudi Arabia. Department of Medicine, University of Hong Kong, Hong Kong. zhanggj@genomics.cn jarvis@neuro.duke.edu mtpgilbert@gmail.com wangj@genomics.cn.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25504712" target="_blank"〉PubMed〈/a〉

Description: The growth factor progranulin (PGRN) has been implicated in embryonic development, tissue repair, tumorigenesis, and inflammation, but its receptors remain unidentified. We report that PGRN bound directly to tumor necrosis factor receptors (TNFRs) and disturbed the TNFalpha-TNFR interaction. PGRN-deficient mice were susceptible to collagen-induced arthritis, and administration of PGRN reversed inflammatory arthritis. Atsttrin, an engineered protein composed of three PGRN fragments, exhibited selective TNFR binding. PGRN and Atsttrin prevented inflammation in multiple arthritis mouse models and inhibited TNFalpha-activated intracellular signaling. Collectively, these findings demonstrate that PGRN is a ligand of TNFR, an antagonist of TNFalpha signaling, and plays a critical role in the pathogenesis of inflammatory arthritis in mice. They also suggest new potential therapeutic interventions for various TNFalpha-mediated pathologies and conditions, including rheumatoid arthritis.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3104397/" 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/PMC3104397/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Tang, Wei -- Lu, Yi -- Tian, Qing-Yun -- Zhang, Yan -- Guo, Feng-Jin -- Liu, Guang-Yi -- Syed, Nabeel Muzaffar -- Lai, Yongjie -- Lin, Edward Alan -- Kong, Li -- Su, Jeffrey -- Yin, Fangfang -- Ding, Ai-Hao -- Zanin-Zhorov, Alexandra -- Dustin, Michael L -- Tao, Jian -- Craft, Joseph -- Yin, Zhinan -- Feng, Jian Q -- Abramson, Steven B -- Yu, Xiu-Ping -- Liu, Chuan-ju -- AI43542/AI/NIAID NIH HHS/ -- AR040072/AR/NIAMS NIH HHS/ -- AR050620/AR/NIAMS NIH HHS/ -- AR053210/AR/NIAMS NIH HHS/ -- GM061710/GM/NIGMS NIH HHS/ -- R01 AI030165/AI/NIAID NIH HHS/ -- R01 AI030165-20/AI/NIAID NIH HHS/ -- R01 GM061710/GM/NIGMS NIH HHS/ -- R01 GM061710-08/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2011 Apr 22;332(6028):478-84. doi: 10.1126/science.1199214. Epub 2011 Mar 10.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Orthopaedic Surgery, New York University School of Medicine and NYU Hospital for Joint Diseases, New York, NY 10003, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21393509" target="_blank"〉PubMed〈/a〉

Description: Social familiarity affects mating preference among various vertebrates. Here, we show that visual contact of a potential mating partner before mating (visual familiarization) enhances female preference for the familiarized male, but not for an unfamiliarized male, in medaka fish. Terminal-nerve gonadotropin-releasing hormone 3 (TN-GnRH3) neurons, an extrahypothalamic neuromodulatory system, function as a gate for activating mating preferences based on familiarity. Basal levels of TN-GnRH3 neuronal activity suppress female receptivity for any male (default mode). Visual familiarization facilitates TN-GnRH3 neuron activity (preference mode), which correlates with female preference for the familiarized male. GnRH3 peptides, which are synthesized specifically in TN-GnRH3 neurons, are required for the mode-switching via self-facilitation. Our study demonstrates the central neural mechanisms underlying the regulation of medaka female mating preference based on visual social familiarity.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Okuyama, Teruhiro -- Yokoi, Saori -- Abe, Hideki -- Isoe, Yasuko -- Suehiro, Yuji -- Imada, Haruka -- Tanaka, Minoru -- Kawasaki, Takashi -- Yuba, Shunsuke -- Taniguchi, Yoshihito -- Kamei, Yasuhiro -- Okubo, Kataaki -- Shimada, Atsuko -- Naruse, Kiyoshi -- Takeda, Hiroyuki -- Oka, Yoshitaka -- Kubo, Takeo -- Takeuchi, Hideaki -- New York, N.Y. -- Science. 2014 Jan 3;343(6166):91-4. doi: 10.1126/science.1244724.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo 113-0033, Japan.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24385628" target="_blank"〉PubMed〈/a〉

Description: Drug use and relapse involve learned associations between drug-associated environmental cues and drug effects. Extinction procedures in the clinic can suppress conditioned responses to drug cues, but the extinguished responses typically reemerge after exposure to the drug itself (reinstatement), the drug-associated environment (renewal), or the passage of time (spontaneous recovery). We describe a memory retrieval-extinction procedure that decreases conditioned drug effects and drug seeking in rat models of relapse, and drug craving in abstinent heroin addicts. In rats, daily retrieval of drug-associated memories 10 minutes or 1 hour but not 6 hours before extinction sessions attenuated drug-induced reinstatement, spontaneous recovery, and renewal of conditioned drug effects and drug seeking. In heroin addicts, retrieval of drug-associated memories 10 minutes before extinction sessions attenuated cue-induced heroin craving 1, 30, and 180 days later. The memory retrieval-extinction procedure is a promising nonpharmacological method for decreasing drug craving and relapse during abstinence.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3695463/" 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/PMC3695463/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Xue, Yan-Xue -- Luo, Yi-Xiao -- Wu, Ping -- Shi, Hai-Shui -- Xue, Li-Fen -- Chen, Chen -- Zhu, Wei-Li -- Ding, Zeng-Bo -- Bao, Yan-ping -- Shi, Jie -- Epstein, David H -- Shaham, Yavin -- Lu, Lin -- Z99 DA999999/Intramural NIH HHS/ -- ZIA DA000434-12/Intramural NIH HHS/ -- New York, N.Y. -- Science. 2012 Apr 13;336(6078):241-5. doi: 10.1126/science.1215070.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉National Institute on Drug Dependence, Peking University, Beijing, China.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22499948" target="_blank"〉PubMed〈/a〉

Description: Bats are the only mammals capable of sustained flight and are notorious reservoir hosts for some of the world's most highly pathogenic viruses, including Nipah, Hendra, Ebola, and severe acute respiratory syndrome (SARS). To identify genetic changes associated with the development of bat-specific traits, we performed whole-genome sequencing and comparative analyses of two distantly related species, fruit bat Pteropus alecto and insectivorous bat Myotis davidii. We discovered an unexpected concentration of positively selected genes in the DNA damage checkpoint and nuclear factor kappaB pathways that may be related to the origin of flight, as well as expansion and contraction of important gene families. Comparison of bat genomes with other mammalian species has provided new insights into bat biology and evolution.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Zhang, Guojie -- Cowled, Christopher -- Shi, Zhengli -- Huang, Zhiyong -- Bishop-Lilly, Kimberly A -- Fang, Xiaodong -- Wynne, James W -- Xiong, Zhiqiang -- Baker, Michelle L -- Zhao, Wei -- Tachedjian, Mary -- Zhu, Yabing -- Zhou, Peng -- Jiang, Xuanting -- Ng, Justin -- Yang, Lan -- Wu, Lijun -- Xiao, Jin -- Feng, Yue -- Chen, Yuanxin -- Sun, Xiaoqing -- Zhang, Yong -- Marsh, Glenn A -- Crameri, Gary -- Broder, Christopher C -- Frey, Kenneth G -- Wang, Lin-Fa -- Wang, Jun -- New York, N.Y. -- Science. 2013 Jan 25;339(6118):456-60. doi: 10.1126/science.1230835. Epub 2012 Dec 20.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉BGI-Shenzhen, Shenzhen, 518083, China. zhanggj@genomics.org.cn〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23258410" target="_blank"〉PubMed〈/a〉

Description: When mounted on the skin, modern sensors, circuits, radios, and power supply systems have the potential to provide clinical-quality health monitoring capabilities for continuous use, beyond the confines of traditional hospital or laboratory facilities. The most well-developed component technologies are, however, broadly available only in hard, planar formats. As a result, existing options in system design are unable to effectively accommodate integration with the soft, textured, curvilinear, and time-dynamic surfaces of the skin. Here, we describe experimental and theoretical approaches for using ideas in soft microfluidics, structured adhesive surfaces, and controlled mechanical buckling to achieve ultralow modulus, highly stretchable systems that incorporate assemblies of high-modulus, rigid, state-of-the-art functional elements. The outcome is a thin, conformable device technology that can softly laminate onto the surface of the skin to enable advanced, multifunctional operation for physiological monitoring in a wireless mode.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Xu, Sheng -- Zhang, Yihui -- Jia, Lin -- Mathewson, Kyle E -- Jang, Kyung-In -- Kim, Jeonghyun -- Fu, Haoran -- Huang, Xian -- Chava, Pranav -- Wang, Renhan -- Bhole, Sanat -- Wang, Lizhe -- Na, Yoon Joo -- Guan, Yue -- Flavin, Matthew -- Han, Zheshen -- Huang, Yonggang -- Rogers, John A -- New York, N.Y. -- Science. 2014 Apr 4;344(6179):70-4. doi: 10.1126/science.1250169.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Materials Science and Engineering and Frederick Seitz Materials Research Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24700852" target="_blank"〉PubMed〈/a〉

Description: Ghrelin is a gastric peptide hormone that stimulates weight gain in vertebrates. The biological activities of ghrelin require octanoylation of the peptide on Ser(3), an unusual posttranslational modification that is catalyzed by the enzyme ghrelin O-acyltransferase (GOAT). Here, we describe the design, synthesis, and characterization of GO-CoA-Tat, a peptide-based bisubstrate analog that antagonizes GOAT. GO-CoA-Tat potently inhibits GOAT in vitro, in cultured cells, and in mice. Intraperitoneal administration of GO-CoA-Tat improves glucose tolerance and reduces weight gain in wild-type mice but not in ghrelin-deficient mice, supporting the concept that its beneficial metabolic effects are due specifically to GOAT inhibition. In addition to serving as a research tool for mapping ghrelin actions, GO-CoA-Tat may help pave the way for clinical targeting of GOAT in metabolic diseases.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3068526/" 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/PMC3068526/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Barnett, Brad P -- Hwang, Yousang -- Taylor, Martin S -- Kirchner, Henriette -- Pfluger, Paul T -- Bernard, Vincent -- Lin, Yu-yi -- Bowers, Erin M -- Mukherjee, Chandrani -- Song, Woo-Jin -- Longo, Patti A -- Leahy, Daniel J -- Hussain, Mehboob A -- Tschop, Matthias H -- Boeke, Jef D -- Cole, Philip A -- P01 CA016519/CA/NCI NIH HHS/ -- P01 CA016519-35/CA/NCI NIH HHS/ -- P30 DK079637/DK/NIDDK NIH HHS/ -- P60 DK079637/DK/NIDDK NIH HHS/ -- P60 DK079637-05/DK/NIDDK NIH HHS/ -- R01 DK081472/DK/NIDDK NIH HHS/ -- R01 DK081472-01A1/DK/NIDDK NIH HHS/ -- R01 DK081472-02/DK/NIDDK NIH HHS/ -- R01 DK081472-03/DK/NIDDK NIH HHS/ -- R01 GM062437/GM/NIGMS NIH HHS/ -- R01 GM062437-04/GM/NIGMS NIH HHS/ -- R01 GM062437-11/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2010 Dec 17;330(6011):1689-92. doi: 10.1126/science.1196154. Epub 2010 Nov 18.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21097901" target="_blank"〉PubMed〈/a〉

Description: We report here genome sequences and comparative analyses of three closely related parasitoid wasps: Nasonia vitripennis, N. giraulti, and N. longicornis. Parasitoids are important regulators of arthropod populations, including major agricultural pests and disease vectors, and Nasonia is an emerging genetic model, particularly for evolutionary and developmental genetics. Key findings include the identification of a functional DNA methylation tool kit; hymenopteran-specific genes including diverse venoms; lateral gene transfers among Pox viruses, Wolbachia, and Nasonia; and the rapid evolution of genes involved in nuclear-mitochondrial interactions that are implicated in speciation. Newly developed genome resources advance Nasonia for genetic research, accelerate mapping and cloning of quantitative trait loci, and will ultimately provide tools and knowledge for further increasing the utility of parasitoids as pest insect-control agents.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2849982/" 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/PMC2849982/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Werren, John H -- Richards, Stephen -- Desjardins, Christopher A -- Niehuis, Oliver -- Gadau, Jurgen -- Colbourne, John K -- Nasonia Genome Working Group -- Beukeboom, Leo W -- Desplan, Claude -- Elsik, Christine G -- Grimmelikhuijzen, Cornelis J P -- Kitts, Paul -- Lynch, Jeremy A -- Murphy, Terence -- Oliveira, Deodoro C S G -- Smith, Christopher D -- van de Zande, Louis -- Worley, Kim C -- Zdobnov, Evgeny M -- Aerts, Maarten -- Albert, Stefan -- Anaya, Victor H -- Anzola, Juan M -- Barchuk, Angel R -- Behura, Susanta K -- Bera, Agata N -- Berenbaum, May R -- Bertossa, Rinaldo C -- Bitondi, Marcia M G -- Bordenstein, Seth R -- Bork, Peer -- Bornberg-Bauer, Erich -- Brunain, Marleen -- Cazzamali, Giuseppe -- Chaboub, Lesley -- Chacko, Joseph -- Chavez, Dean -- Childers, Christopher P -- Choi, Jeong-Hyeon -- Clark, Michael E -- Claudianos, Charles -- Clinton, Rochelle A -- Cree, Andrew G -- Cristino, Alexandre S -- Dang, Phat M -- Darby, Alistair C -- de Graaf, Dirk C -- Devreese, Bart -- Dinh, Huyen H -- Edwards, Rachel -- Elango, Navin -- Elhaik, Eran -- Ermolaeva, Olga -- Evans, Jay D -- Foret, Sylvain -- Fowler, Gerald R -- Gerlach, Daniel -- Gibson, Joshua D -- Gilbert, Donald G -- Graur, Dan -- Grunder, Stefan -- Hagen, Darren E -- Han, Yi -- Hauser, Frank -- Hultmark, Da -- Hunter, Henry C 4th -- Hurst, Gregory D D -- Jhangian, Shalini N -- Jiang, Huaiyang -- Johnson, Reed M -- Jones, Andrew K -- Junier, Thomas -- Kadowaki, Tatsuhiko -- Kamping, Albert -- Kapustin, Yuri -- Kechavarzi, Bobak -- Kim, Jaebum -- Kim, Jay -- Kiryutin, Boris -- Koevoets, Tosca -- Kovar, Christie L -- Kriventseva, Evgenia V -- Kucharski, Robert -- Lee, Heewook -- Lee, Sandra L -- Lees, Kristin -- Lewis, Lora R -- Loehlin, David W -- Logsdon, John M Jr -- Lopez, Jacqueline A -- Lozado, Ryan J -- Maglott, Donna -- Maleszka, Ryszard -- Mayampurath, Anoop -- Mazur, Danielle J -- McClure, Marcella A -- Moore, Andrew D -- Morgan, Margaret B -- Muller, Jean -- Munoz-Torres, Monica C -- Muzny, Donna M -- Nazareth, Lynne V -- Neupert, Susanne -- Nguyen, Ngoc B -- Nunes, Francis M F -- Oakeshott, John G -- Okwuonu, Geoffrey O -- Pannebakker, Bart A -- Pejaver, Vikas R -- Peng, Zuogang -- Pratt, Stephen C -- Predel, Reinhard -- Pu, Ling-Ling -- Ranson, Hilary -- Raychoudhury, Rhitoban -- Rechtsteiner, Andreas -- Reese, Justin T -- Reid, Jeffrey G -- Riddle, Megan -- Robertson, Hugh M -- Romero-Severson, Jeanne -- Rosenberg, Miriam -- Sackton, Timothy B -- Sattelle, David B -- Schluns, Helge -- Schmitt, Thomas -- Schneider, Martina -- Schuler, Andreas -- Schurko, Andrew M -- Shuker, David M -- Simoes, Zila L P -- Sinha, Saurabh -- Smith, Zachary -- Solovyev, Victor -- Souvorov, Alexandre -- Springauf, Andreas -- Stafflinger, Elisabeth -- Stage, Deborah E -- Stanke, Mario -- Tanaka, Yoshiaki -- Telschow, Arndt -- Trent, Carol -- Vattathil, Selina -- Verhulst, Eveline C -- Viljakainen, Lumi -- Wanner, Kevin W -- Waterhouse, Robert M -- Whitfield, James B -- Wilkes, Timothy E -- Williamson, Michael -- Willis, Judith H -- Wolschin, Florian -- Wyder, Stefan -- Yamada, Takuji -- Yi, Soojin V -- Zecher, Courtney N -- Zhang, Lan -- Gibbs, Richard A -- 5R01GM070026-04/GM/NIGMS NIH HHS/ -- 5R01HG000747-14/HG/NHGRI NIH HHS/ -- 5R24GM084917-02/GM/NIGMS NIH HHS/ -- AI028309-13A2/AI/NIAID NIH HHS/ -- R01 AI055624/AI/NIAID NIH HHS/ -- R01 GM064864/GM/NIGMS NIH HHS/ -- R01 GM064864-04/GM/NIGMS NIH HHS/ -- R01 GM064864-05A2/GM/NIGMS NIH HHS/ -- R01 GM070026/GM/NIGMS NIH HHS/ -- R01 GM070026-04S1/GM/NIGMS NIH HHS/ -- R01 GM079484/GM/NIGMS NIH HHS/ -- R01 GM085163/GM/NIGMS NIH HHS/ -- R01 GM085163-01/GM/NIGMS NIH HHS/ -- R01 GM085233/GM/NIGMS NIH HHS/ -- R01 HG000747/HG/NHGRI NIH HHS/ -- R01 HG000747-14/HG/NHGRI NIH HHS/ -- R01GM064864/GM/NIGMS NIH HHS/ -- R24 GM084917/GM/NIGMS NIH HHS/ -- R24 GM084917-01/GM/NIGMS NIH HHS/ -- R24 GM084917-02/GM/NIGMS NIH HHS/ -- U54 HG003273/HG/NHGRI NIH HHS/ -- U54 HG003273-03/HG/NHGRI NIH HHS/ -- Intramural NIH HHS/ -- New York, N.Y. -- Science. 2010 Jan 15;327(5963):343-8. doi: 10.1126/science.1178028.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20075255" target="_blank"〉PubMed〈/a〉

Description: Genomic imprinting causes parental origin-specific monoallelic gene expression through differential DNA methylation established in the parental germ line. However, the mechanisms underlying how specific sequences are selectively methylated are not fully understood. We have found that the components of the PIWI-interacting RNA (piRNA) pathway are required for de novo methylation of the differentially methylated region (DMR) of the imprinted mouse Rasgrf1 locus, but not other paternally imprinted loci. A retrotransposon sequence within a noncoding RNA spanning the DMR was targeted by piRNAs generated from a different locus. A direct repeat in the DMR, which is required for the methylation and imprinting of Rasgrf1, served as a promoter for this RNA. We propose a model in which piRNAs and a target RNA direct the sequence-specific methylation of Rasgrf1.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3368507/" 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/PMC3368507/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Watanabe, Toshiaki -- Tomizawa, Shin-ichi -- Mitsuya, Kohzoh -- Totoki, Yasushi -- Yamamoto, Yasuhiro -- Kuramochi-Miyagawa, Satomi -- Iida, Naoko -- Hoki, Yuko -- Murphy, Patrick J -- Toyoda, Atsushi -- Gotoh, Kengo -- Hiura, Hitoshi -- Arima, Takahiro -- Fujiyama, Asao -- Sado, Takashi -- Shibata, Tatsuhiro -- Nakano, Toru -- Lin, Haifan -- Ichiyanagi, Kenji -- Soloway, Paul D -- Sasaki, Hiroyuki -- R01 CA098597/CA/NCI NIH HHS/ -- New York, N.Y. -- Science. 2011 May 13;332(6031):848-52. doi: 10.1126/science.1203919.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Human Genetics and Department of Integrated Genetics, National Institute of Genetics, Research Organization of Information and Systems, Mishima, Shizuoka, 411-8540, Japan. toshwatatoshiakiwatanabe@gmail.com〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21566194" target="_blank"〉PubMed〈/a〉