ALBERT

Description: Mice deficient in the Polycomb repressor Bmi1 develop numerous abnormalities including a severe defect in stem cell self-renewal, alterations in thymocyte maturation and a shortened lifespan. Previous work has implicated de-repression of the Ink4a/Arf (also known as Cdkn2a) locus as mediating many of the aspects of the Bmi1(-/-) phenotype. Here we demonstrate that cells derived from Bmi1(-/-) mice also have impaired mitochondrial function, a marked increase in the intracellular levels of reactive oxygen species and subsequent engagement of the DNA damage response pathway. Furthermore, many of the deficiencies normally observed in Bmi1(-/-) mice improve after either pharmacological treatment with the antioxidant N-acetylcysteine or genetic disruption of the DNA damage response pathway by Chk2 (also known as Chek2) deletion. These results demonstrate that Bmi1 has an unexpected role in maintaining mitochondrial function and redox homeostasis and indicate that the Polycomb family of proteins can coordinately regulate cellular metabolism with stem and progenitor cell function.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721521/" 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/PMC4721521/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Liu, Jie -- Cao, Liu -- Chen, Jichun -- Song, Shiwei -- Lee, In Hye -- Quijano, Celia -- Liu, Hongjun -- Keyvanfar, Keyvan -- Chen, Haoqian -- Cao, Long-Yue -- Ahn, Bong-Hyun -- Kumar, Neil G -- Rovira, Ilsa I -- Xu, Xiao-Ling -- van Lohuizen, Maarten -- Motoyama, Noboru -- Deng, Chu-Xia -- Finkel, Toren -- R00 AG032356/AG/NIA NIH HHS/ -- Z01 HL005012-11/Intramural NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2009 May 21;459(7245):387-92. doi: 10.1038/nature08040. Epub 2009 Apr 29.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Translational Medicine Branch, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19404261" target="_blank"〉PubMed〈/a〉

Description: The extent to which low-frequency (minor allele frequency (MAF) between 1-5%) and rare (MAF 〈/= 1%) variants contribute to complex traits and disease in the general population is mainly unknown. Bone mineral density (BMD) is highly heritable, a major predictor of osteoporotic fractures, and has been previously associated with common genetic variants, as well as rare, population-specific, coding variants. Here we identify novel non-coding genetic variants with large effects on BMD (ntotal = 53,236) and fracture (ntotal = 508,253) in individuals of European ancestry from the general population. Associations for BMD were derived from whole-genome sequencing (n = 2,882 from UK10K (ref. 10); a population-based genome sequencing consortium), whole-exome sequencing (n = 3,549), deep imputation of genotyped samples using a combined UK10K/1000 Genomes reference panel (n = 26,534), and de novo replication genotyping (n = 20,271). We identified a low-frequency non-coding variant near a novel locus, EN1, with an effect size fourfold larger than the mean of previously reported common variants for lumbar spine BMD (rs11692564(T), MAF = 1.6%, replication effect size = +0.20 s.d., Pmeta = 2 x 10(-14)), which was also associated with a decreased risk of fracture (odds ratio = 0.85; P = 2 x 10(-11); ncases = 98,742 and ncontrols = 409,511). Using an En1(cre/flox) mouse model, we observed that conditional loss of En1 results in low bone mass, probably as a consequence of high bone turnover. We also identified a novel low-frequency non-coding variant with large effects on BMD near WNT16 (rs148771817(T), MAF = 1.2%, replication effect size = +0.41 s.d., Pmeta = 1 x 10(-11)). In general, there was an excess of association signals arising from deleterious coding and conserved non-coding variants. These findings provide evidence that low-frequency non-coding variants have large effects on BMD and fracture, thereby providing rationale for whole-genome sequencing and improved imputation reference panels to study the genetic architecture of complex traits and disease in the general population.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4755714/" 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/PMC4755714/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Zheng, Hou-Feng -- Forgetta, Vincenzo -- Hsu, Yi-Hsiang -- Estrada, Karol -- Rosello-Diez, Alberto -- Leo, Paul J -- Dahia, Chitra L -- Park-Min, Kyung Hyun -- Tobias, Jonathan H -- Kooperberg, Charles -- Kleinman, Aaron -- Styrkarsdottir, Unnur -- Liu, Ching-Ti -- Uggla, Charlotta -- Evans, Daniel S -- Nielson, Carrie M -- Walter, Klaudia -- Pettersson-Kymmer, Ulrika -- McCarthy, Shane -- Eriksson, Joel -- Kwan, Tony -- Jhamai, Mila -- Trajanoska, Katerina -- Memari, Yasin -- Min, Josine -- Huang, Jie -- Danecek, Petr -- Wilmot, Beth -- Li, Rui -- Chou, Wen-Chi -- Mokry, Lauren E -- Moayyeri, Alireza -- Claussnitzer, Melina -- Cheng, Chia-Ho -- Cheung, Warren -- Medina-Gomez, Carolina -- Ge, Bing -- Chen, Shu-Huang -- Choi, Kwangbom -- Oei, Ling -- Fraser, James -- Kraaij, Robert -- Hibbs, Matthew A -- Gregson, Celia L -- Paquette, Denis -- Hofman, Albert -- Wibom, Carl -- Tranah, Gregory J -- Marshall, Mhairi -- Gardiner, Brooke B -- Cremin, Katie -- Auer, Paul -- Hsu, Li -- Ring, Sue -- Tung, Joyce Y -- Thorleifsson, Gudmar -- Enneman, Anke W -- van Schoor, Natasja M -- de Groot, Lisette C P G M -- van der Velde, Nathalie -- Melin, Beatrice -- Kemp, John P -- Christiansen, Claus -- Sayers, Adrian -- Zhou, Yanhua -- Calderari, Sophie -- van Rooij, Jeroen -- Carlson, Chris -- Peters, Ulrike -- Berlivet, Soizik -- Dostie, Josee -- Uitterlinden, Andre G -- Williams, Stephen R -- Farber, Charles -- Grinberg, Daniel -- LaCroix, Andrea Z -- Haessler, Jeff -- Chasman, Daniel I -- Giulianini, Franco -- Rose, Lynda M -- Ridker, Paul M -- Eisman, John A -- Nguyen, Tuan V -- Center, Jacqueline R -- Nogues, Xavier -- Garcia-Giralt, Natalia -- Launer, Lenore L -- Gudnason, Vilmunder -- Mellstrom, Dan -- Vandenput, Liesbeth -- Amin, Najaf -- van Duijn, Cornelia M -- Karlsson, Magnus K -- Ljunggren, Osten -- Svensson, Olle -- Hallmans, Goran -- Rousseau, Francois -- Giroux, Sylvie -- Bussiere, Johanne -- Arp, Pascal P -- Koromani, Fjorda -- Prince, Richard L -- Lewis, Joshua R -- Langdahl, Bente L -- Hermann, A Pernille -- Jensen, Jens-Erik B -- Kaptoge, Stephen -- Khaw, Kay-Tee -- Reeve, Jonathan -- Formosa, Melissa M -- Xuereb-Anastasi, Angela -- Akesson, Kristina -- McGuigan, Fiona E -- Garg, Gaurav -- Olmos, Jose M -- Zarrabeitia, Maria T -- Riancho, Jose A -- Ralston, Stuart H -- Alonso, Nerea -- Jiang, Xi -- Goltzman, David -- Pastinen, Tomi -- Grundberg, Elin -- Gauguier, Dominique -- Orwoll, Eric S -- Karasik, David -- Davey-Smith, George -- AOGC Consortium -- Smith, Albert V -- Siggeirsdottir, Kristin -- Harris, Tamara B -- Zillikens, M Carola -- van Meurs, Joyce B J -- Thorsteinsdottir, Unnur -- Maurano, Matthew T -- Timpson, Nicholas J -- Soranzo, Nicole -- Durbin, Richard -- Wilson, Scott G -- Ntzani, Evangelia E -- Brown, Matthew A -- Stefansson, Kari -- Hinds, David A -- Spector, Tim -- Cupples, L Adrienne -- Ohlsson, Claes -- Greenwood, Celia M T -- UK10K Consortium -- Jackson, Rebecca D -- Rowe, David W -- Loomis, Cynthia A -- Evans, David M -- Ackert-Bicknell, Cheryl L -- Joyner, Alexandra L -- Duncan, Emma L -- Kiel, Douglas P -- Rivadeneira, Fernando -- Richards, J Brent -- G1000143/Medical Research Council/United Kingdom -- K01 AR062655/AR/NIAMS NIH HHS/ -- MC_UU_12013/3/Medical Research Council/United Kingdom -- R01 AG005394/AG/NIA NIH HHS/ -- R01 AG005407/AG/NIA NIH HHS/ -- R01 AG027574/AG/NIA NIH HHS/ -- R01 AG027576/AG/NIA NIH HHS/ -- R01 AR035582/AR/NIAMS NIH HHS/ -- R01 AR035583/AR/NIAMS NIH HHS/ -- RC2 AR058973/AR/NIAMS NIH HHS/ -- U01 AG018197/AG/NIA NIH HHS/ -- U01 AG042140/AG/NIA NIH HHS/ -- U01 AG042143/AG/NIA NIH HHS/ -- U01 AR045580/AR/NIAMS NIH HHS/ -- U01 AR045583/AR/NIAMS NIH HHS/ -- U01 AR045614/AR/NIAMS NIH HHS/ -- U01 AR045632/AR/NIAMS NIH HHS/ -- U01 AR045647/AR/NIAMS NIH HHS/ -- U01 AR045654/AR/NIAMS NIH HHS/ -- U01 AR066160/AR/NIAMS NIH HHS/ -- England -- Nature. 2015 Oct 1;526(7571):112-7. doi: 10.1038/nature14878. Epub 2015 Sep 14.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Departments of Medicine, Human Genetics, Epidemiology and Biostatistics, McGill University, Montreal H3A 1A2, Canada. ; Department of Medicine, Lady Davis Institute for Medical Research, Jewish General Hospital, McGill University, Montreal H3T 1E2, Canada. ; Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts 02131, USA. ; Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA. ; Broad Institute of MIT and Harvard, Boston, Massachusetts 02115, USA. ; Department of Internal Medicine, Erasmus Medical Center, Rotterdam 3015GE, The Netherlands. ; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts 02114, USA. ; Developmental Biology Program, Sloan Kettering Institute, New York, New York 10065, USA. ; The University of Queensland Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, Brisbane 4102, Australia. ; Department of Cell and Developmental Biology, Weill Cornell Medical College, New York, New York 10065, USA. ; Tissue Engineering, Regeneration and Repair Program, Hospital for Special Surgery, New York 10021, USA. ; Rheumatology Divison, Hospital for Special Surgery New York, New York 10021, USA. ; School of Clinical Science, University of Bristol, Bristol BS10 5NB, UK. ; MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK. ; Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA. ; Department of Research, 23andMe, Mountain View, California 94041, USA. ; Department of Population Genomics, deCODE Genetics, Reykjavik IS-101, Iceland. ; Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA. ; Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg S-413 45, Sweden. ; California Pacific Medical Center Research Institute, San Francisco, California 94158, USA. ; Department of Public Health and Preventive Medicine, Oregon Health &Science University, Portland, Oregon 97239, USA. ; Bone &Mineral Unit, Oregon Health &Science University, Portland, Oregon 97239, USA. ; Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge CB10 1SA, UK. ; Departments of Pharmacology and Clinical Neurosciences, Umea University, Umea S-901 87, Sweden. ; Department of Public Health and Clinical Medicine, Umea University, Umea SE-901 87, Sweden. ; Centre for Bone and Arthritis Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg S-413 45, Sweden. ; McGill University and Genome Quebec Innovation Centre, Montreal H3A 0G1, Canada. ; Department of Epidemiology, Erasmus Medical Center, Rotterdam 3015GE, The Netherlands. ; Oregon Clinical and Translational Research Institute, Oregon Health &Science University, Portland, Oregon 97239, USA. ; Department of Medical and Clinical Informatics, Oregon Health &Science University, Portland, Oregon 97239, USA. ; Farr Institute of Health Informatics Research, University College London, London NW1 2DA, UK. ; Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK. ; Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts 02115, USA. ; Department of Human Genetics, McGill University, Montreal H3A 1B1, Canada. ; Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Leiden 2300RC, The Netherlands. ; Center for Musculoskeletal Research, University of Rochester, Rochester, New York 14642, USA. ; Department of Biochemistry and Goodman Cancer Research Center, McGill University, Montreal H3G 1Y6, Canada. ; Department of Computer Science, Trinity University, San Antonio, Texas 78212, USA. ; Musculoskeletal Research Unit, University of Bristol, Bristol BS10 5NB, UK. ; Department of Radiation Sciences, Umea University, Umea S-901 87, Sweden. ; School of Public Health, University of Wisconsin, Milwaukee, Wisconsin 53726, USA. ; School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK. ; Department of Statistics, deCODE Genetics, Reykjavik IS-101, Iceland. ; Department of Epidemiology and Biostatistics and the EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam 1007 MB, The Netherlands. ; Department of Human Nutrition, Wageningen University, Wageningen 6700 EV, The Netherlands. ; Department of Internal Medicine, Section Geriatrics, Academic Medical Center, Amsterdam 1105, The Netherlands. ; Nordic Bioscience, Herlev 2730, Denmark. ; Cordeliers Research Centre, INSERM UMRS 1138, Paris 75006, France. ; Institute of Cardiometabolism and Nutrition, University Pierre &Marie Curie, Paris 75013, France. ; Departments of Medicine (Cardiovascular Medicine), Centre for Public Health Genomics, University of Virginia, Charlottesville, Virginia 22908, USA. ; Department of Genetics, University of Barcelona, Barcelona 08028, Spain. ; U-720, Centre for Biomedical Network Research on Rare Diseases (CIBERER), Barcelona 28029, Spain. ; Department of Human Molecular Genetics, The Institute of Biomedicine of the University of Barcelona (IBUB), Barcelona 08028, Spain. ; Women's Health Center of Excellence Family Medicine and Public Health, University of California - San Diego, San Diego, California 92093, USA. ; Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02215, USA. ; Osteoporosis &Bone Biology Program, Garvan Institute of Medical Research, Sydney 2010, Australia. ; School of Medicine Sydney, University of Notre Dame Australia, Sydney 6959, Australia. ; St. Vincent's Hospital &Clinical School, NSW University, Sydney 2010, Australia. ; Musculoskeletal Research Group, Institut Hospital del Mar d'Investigacions Mediques, Barcelona 08003, Spain. ; Cooperative Research Network on Aging and Fragility (RETICEF), Institute of Health Carlos III, 28029, Spain. ; Department of Internal Medicine, Hospital del Mar, Universitat Autonoma de Barcelona, Barcelona 08193, Spain. ; Neuroepidemiology Section, National Institute on Aging, National Institutes of Health, Bethesda, Maryland 20892, USA. ; Icelandic Heart Association, Kopavogur IS-201, Iceland. ; Faculty of Medicine, University of Iceland, Reykjavik IS-101, Iceland. ; Genetic epidemiology unit, Department of Epidemiology, Erasmus MC, Rotterdam 3000CA, The Netherlands. ; Department of Orthopaedics, Skane University Hospital Malmo 205 02, Sweden. ; Department of Medical Sciences, University of Uppsala, Uppsala 751 85, Sweden. ; Department of Surgical and Perioperative Sciences, Umea Unviersity, Umea 901 85, Sweden. ; Department of Molecular Biology, Medical Biochemistry and Pathology, Universite Laval, Quebec City G1V 0A6, Canada. ; Axe Sante des Populations et Pratiques Optimales en Sante, Centre de recherche du CHU de Quebec, Quebec City G1V 4G2, Canada. ; Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands 6009, Australia. ; Department of Medicine, University of Western Australia, Perth 6009, Australia. ; Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus C 8000, Denmark. ; Department of Endocrinology, Odense University Hospital, Odense C 5000, Denmark. ; Department of Endocrinology, Hvidovre University Hospital, Hvidovre 2650, Denmark. ; Clinical Gerontology Unit, University of Cambridge, Cambridge CB2 2QQ, UK. ; Medicine and Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK. ; Institute of Musculoskeletal Sciences, The Botnar Research Centre, University of Oxford, Oxford OX3 7LD, UK. ; Department of Applied Biomedical Science, Faculty of Health Sciences, University of Malta, Msida MSD 2080, Malta. ; Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences Malmo, Lund University, 205 02, Sweden. ; Department of Medicine and Psychiatry, University of Cantabria, Santander 39011, Spain. ; Department of Internal Medicine, Hospital U.M. Valdecilla- IDIVAL, Santander 39008, Spain. ; Department of Legal Medicine, University of Cantabria, Santander 39011, Spain. ; Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, University of Edinburgh, Edinburgh EH4 2XU, UK. ; Department of Reconstructive Sciences, College of Dental Medicine, University of Connecticut Health Center, Farmington, Connecticut 06030, USA. ; Department of Medicine and Physiology, McGill University, Montreal H4A 3J1, Canada. ; Department of Medicine, Oregon Health &Science University, Portland, Oregon 97239, USA. ; Faculty of Medicine in the Galilee, Bar-Ilan University, Safed 13010, Israel. ; Laboratory of Epidemiology, National Institute on Aging, National Institutes of Health, Bethesda, Maryland 20892, USA. ; Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA. ; School of Medicine and Pharmacology, University of Western Australia, Crawley 6009, Australia. ; Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina 45110, Greece. ; Department of Health Services, Policy and Practice, Brown University School of Public Health, Providence, Rhode Island 02903, USA. ; deCODE Genetics, Reykjavik IS-101, Iceland. ; Framingham Heart Study, Framingham, Massachusetts 01702, USA. ; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal H3A 1A2, Canada. ; Department of Oncology, Gerald Bronfman Centre, McGill University, Montreal H2W 1S6, Canada. ; Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, The Ohio State University, Columbus, Ohio 43210, USA. ; The Ronald O. Perelman Department of Dermatology and Department of Cell Biology, New York University School of Medicine, New York, New York 10016, USA. ; Department of Diabetes and Endocrinology, Royal Brisbane and Women's Hospital, Brisbane 4029, Australia.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26367794" target="_blank"〉PubMed〈/a〉

Description: Understanding the diversity of human tissues is fundamental to disease and requires linking genetic information, which is identical in most of an individual's cells, with epigenetic mechanisms that could have tissue-specific roles. Surveys of DNA methylation in human tissues have established a complex landscape including both tissue-specific and invariant methylation patterns. Here we report high coverage methylomes that catalogue cytosine methylation in all contexts for the major human organ systems, integrated with matched transcriptomes and genomic sequence. By combining these diverse data types with each individuals' phased genome, we identified widespread tissue-specific differential CG methylation (mCG), partially methylated domains, allele-specific methylation and transcription, and the unexpected presence of non-CG methylation (mCH) in almost all human tissues. mCH correlated with tissue-specific functions, and using this mark, we made novel predictions of genes that escape X-chromosome inactivation in specific tissues. Overall, DNA methylation in several genomic contexts varies substantially among human tissues.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4499021/" 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/PMC4499021/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Schultz, Matthew D -- He, Yupeng -- Whitaker, John W -- Hariharan, Manoj -- Mukamel, Eran A -- Leung, Danny -- Rajagopal, Nisha -- Nery, Joseph R -- Urich, Mark A -- Chen, Huaming -- Lin, Shin -- Lin, Yiing -- Jung, Inkyung -- Schmitt, Anthony D -- Selvaraj, Siddarth -- Ren, Bing -- Sejnowski, Terrence J -- Wang, Wei -- Ecker, Joseph R -- F32 HL110473/HL/NHLBI NIH HHS/ -- F32HL110473/HL/NHLBI NIH HHS/ -- K99 HL119617/HL/NHLBI NIH HHS/ -- K99 NS080911/NS/NINDS NIH HHS/ -- K99HL119617/HL/NHLBI NIH HHS/ -- R00 NS080911/NS/NINDS NIH HHS/ -- R00NS080911/NS/NINDS NIH HHS/ -- R01 ES024984/ES/NIEHS NIH HHS/ -- T32 GM008666/GM/NIGMS NIH HHS/ -- U01 ES017166/ES/NIEHS NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2015 Jul 9;523(7559):212-6. doi: 10.1038/nature14465. Epub 2015 Jun 1.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Bioinformatics Program, University of California, San Diego, La Jolla, California 92093, USA [2] Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, California 92037, USA. ; Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California 92093, USA. ; Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, California 92037, USA. ; 1] Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, California 92037, USA [2] Department of Cognitive Science, University of California, San Diego, La Jolla, California 92037, USA. ; Ludwig Institute for Cancer Research, La Jolla, California 92093, USA. ; Department of Genetics, Stanford University, 300 Pasteur Drive, M-344 Stanford, California 94305, USA. ; Department of Surgery, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8109, St Louis, Missouri 63110, USA. ; Bioinformatics Program, University of California, San Diego, La Jolla, California 92093, USA. ; 1] Ludwig Institute for Cancer Research, La Jolla, California 92093, USA [2] University of California, San Diego School of Medicine, Department of Cellular and Molecular Medicine, Institute of Genomic Medicine, La Jolla, California 92093, USA. ; 1] Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, California 92037, USA [2] Division of Biological Sciences, University of California at San Diego, La Jolla, California 92037, USA [3] Howard Hughes Medical Institute, The Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, California 92037, USA. ; 1] Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California 92093, USA [2] Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, California 92093, USA. ; 1] Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, California 92037, USA [2] Howard Hughes Medical Institute, The Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, California 92037, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26030523" target="_blank"〉PubMed〈/a〉

Description: Traumatic brain injury (TBI), characterized by acute neurological dysfunction, is one of the best known environmental risk factors for chronic traumatic encephalopathy and Alzheimer's disease, the defining pathologic features of which include tauopathy made of phosphorylated tau protein (P-tau). However, tauopathy has not been detected in the early stages after TBI, and how TBI leads to tauopathy is unknown. Here we find robust cis P-tau pathology after TBI in humans and mice. After TBI in mice and stress in vitro, neurons acutely produce cis P-tau, which disrupts axonal microtubule networks and mitochondrial transport, spreads to other neurons, and leads to apoptosis. This process, which we term 'cistauosis', appears long before other tauopathy. Treating TBI mice with cis antibody blocks cistauosis, prevents tauopathy development and spread, and restores many TBI-related structural and functional sequelae. Thus, cis P-tau is a major early driver of disease after TBI and leads to tauopathy in chronic traumatic encephalopathy and Alzheimer's disease. The cis antibody may be further developed to detect and treat TBI, and prevent progressive neurodegeneration after injury.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4718588/" 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/PMC4718588/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kondo, Asami -- Shahpasand, Koorosh -- Mannix, Rebekah -- Qiu, Jianhua -- Moncaster, Juliet -- Chen, Chun-Hau -- Yao, Yandan -- Lin, Yu-Min -- Driver, Jane A -- Sun, Yan -- Wei, Shuo -- Luo, Man-Li -- Albayram, Onder -- Huang, Pengyu -- Rotenberg, Alexander -- Ryo, Akihide -- Goldstein, Lee E -- Pascual-Leone, Alvaro -- McKee, Ann C -- Meehan, William -- Zhou, Xiao Zhen -- Lu, Kun Ping -- P30 AG013846/AG/NIA NIH HHS/ -- P30AG13846/AG/NIA NIH HHS/ -- R01AG029385/AG/NIA NIH HHS/ -- R01AG046319/AG/NIA NIH HHS/ -- R01CA167677/CA/NCI NIH HHS/ -- R01HL111430/HL/NHLBI NIH HHS/ -- S10RR017927/RR/NCRR NIH HHS/ -- T32HD040128/HD/NICHD NIH HHS/ -- U01 NS086659/NS/NINDS NIH HHS/ -- U01NS086659-01/NS/NINDS NIH HHS/ -- England -- Nature. 2015 Jul 23;523(7561):431-6. doi: 10.1038/nature14658. Epub 2015 Jul 15.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Division of Translational Therapeutics, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts 02215, USA [2] Cancer Research Institute, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts 02215, USA. ; Division of Emergency Medicine, Children's Hospital Boston, Harvard Medical School, Boston, Massachusetts 02115, USA. ; Alzheimer's Disease Center, CTE Program, Boston University School of Medicine, Boston, Massachusetts 02118, USA. ; 1] Division of Translational Therapeutics, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts 02215, USA [2] Geriatric Research Education and Clinical Center, VA Boston Healthcare System, Harvard Medical School, Boston, Massachusetts 02130, USA. ; Department of Neurology, Children's Hospital Boston, Harvard Medical School, Boston, Massachusetts 02115, USA. ; Department of Microbiology, Yokohama City University School of Medicine, Yokohama 236-0004, Japan. ; Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts 02215, USA. ; Micheli Center for Sports Injury Prevention, Children's Hospital Boston, Harvard Medical School, Boston, Massachusetts 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26176913" target="_blank"〉PubMed〈/a〉

Description: During pregnancy, maternal pancreatic islets grow to match dynamic physiological demands, but the mechanisms regulating adaptive islet growth in this setting are poorly understood. Here we show that menin, a protein previously characterized as an endocrine tumor suppressor and transcriptional regulator, controls islet growth in pregnant mice. Pregnancy stimulated proliferation of maternal pancreatic islet beta-cells that was accompanied by reduced islet levels of menin and its targets. Transgenic expression of menin in maternal beta-cells prevented islet expansion and led to hyperglycemia and impaired glucose tolerance, hallmark features of gestational diabetes. Prolactin, a hormonal regulator of pregnancy, repressed islet menin levels and stimulated beta-cell proliferation. These results expand our understanding of mechanisms underlying diabetes pathogenesis and reveal potential targets for therapy in diabetes.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Karnik, Satyajit K -- Chen, Hainan -- McLean, Graeme W -- Heit, Jeremy J -- Gu, Xueying -- Zhang, Andrew Y -- Fontaine, Magali -- Yen, Michael H -- Kim, Seung K -- T32DK007217-32/DK/NIDDK NIH HHS/ -- New York, N.Y. -- Science. 2007 Nov 2;318(5851):806-9.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Developmental Biology, Stanford University, Stanford, CA 94305, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17975067" target="_blank"〉PubMed〈/a〉

Description: The hippocampus is one of several brain areas thought to play a central role in affective behaviors, but the underlying local network dynamics are not understood. We used quantitative voltage-sensitive dye imaging to probe hippocampal dynamics with millisecond resolution in brain slices after bidirectional modulation of affective state in rat models of depression. We found that a simple measure of real-time activity-stimulus-evoked percolation of activity through the dentate gyrus relative to the hippocampal output subfield-accounted for induced changes in animal behavior independent of the underlying mechanism of action of the treatments. Our results define a circuit-level neurophysiological endophenotype for affective behavior and suggest an approach to understanding circuit-level substrates underlying psychiatric disease symptoms.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Airan, Raag D -- Meltzer, Leslie A -- Roy, Madhuri -- Gong, Yuqing -- Chen, Han -- Deisseroth, Karl -- New York, N.Y. -- Science. 2007 Aug 10;317(5839):819-23. Epub 2007 Jul 5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17615305" target="_blank"〉PubMed〈/a〉

Description: Toll-like receptors (TLRs) trigger the production of inflammatory cytokines and shape adaptive and innate immunity to pathogens. We report the identification of B cell leukemia (Bcl)-3 as an essential negative regulator of TLR signaling. By blocking ubiquitination of p50, a member of the nuclear factor (NF)-kappaB family, Bcl-3 stabilizes a p50 complex that inhibits gene transcription. As a consequence, Bcl-3-deficient mice and cells were found to be hypersensitive to TLR activation and unable to control responses to lipopolysaccharides. Thus, p50 ubiquitination blockade by Bcl-3 limits the strength of TLR responses and maintains innate immune homeostasis. These findings indicate that the p50 ubiquitination pathway can be selectively targeted to control deleterious inflammatory diseases.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Carmody, Ruaidhri J -- Ruan, Qingguo -- Palmer, Scott -- Hilliard, Brendan -- Chen, Youhai H -- AI069289/AI/NIAID NIH HHS/ -- AI50059/AI/NIAID NIH HHS/ -- DK070691/DK/NIDDK NIH HHS/ -- New York, N.Y. -- Science. 2007 Aug 3;317(5838):675-8.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17673665" target="_blank"〉PubMed〈/a〉

Description: New strategies for prevention and treatment of type 2 diabetes (T2D) require improved insight into disease etiology. We analyzed 386,731 common single-nucleotide polymorphisms (SNPs) in 1464 patients with T2D and 1467 matched controls, each characterized for measures of glucose metabolism, lipids, obesity, and blood pressure. With collaborators (FUSION and WTCCC/UKT2D), we identified and confirmed three loci associated with T2D-in a noncoding region near CDKN2A and CDKN2B, in an intron of IGF2BP2, and an intron of CDKAL1-and replicated associations near HHEX and in SLC30A8 found by a recent whole-genome association study. We identified and confirmed association of a SNP in an intron of glucokinase regulatory protein (GCKR) with serum triglycerides. The discovery of associated variants in unsuspected genes and outside coding regions illustrates the ability of genome-wide association studies to provide potentially important clues to the pathogenesis of common diseases.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Diabetes Genetics Initiative of Broad Institute of Harvard and MIT, Lund University, and Novartis Institutes of BioMedical Research -- Saxena, Richa -- Voight, Benjamin F -- Lyssenko, Valeriya -- Burtt, Noel P -- de Bakker, Paul I W -- Chen, Hong -- Roix, Jeffrey J -- Kathiresan, Sekar -- Hirschhorn, Joel N -- Daly, Mark J -- Hughes, Thomas E -- Groop, Leif -- Altshuler, David -- Almgren, Peter -- Florez, Jose C -- Meyer, Joanne -- Ardlie, Kristin -- Bengtsson Bostrom, Kristina -- Isomaa, Bo -- Lettre, Guillaume -- Lindblad, Ulf -- Lyon, Helen N -- Melander, Olle -- Newton-Cheh, Christopher -- Nilsson, Peter -- Orho-Melander, Marju -- Rastam, Lennart -- Speliotes, Elizabeth K -- Taskinen, Marja-Riitta -- Tuomi, Tiinamaija -- Guiducci, Candace -- Berglund, Anna -- Carlson, Joyce -- Gianniny, Lauren -- Hackett, Rachel -- Hall, Liselotte -- Holmkvist, Johan -- Laurila, Esa -- Sjogren, Marketa -- Sterner, Maria -- Surti, Aarti -- Svensson, Margareta -- Svensson, Malin -- Tewhey, Ryan -- Blumenstiel, Brendan -- Parkin, Melissa -- Defelice, Matthew -- Barry, Rachel -- Brodeur, Wendy -- Camarata, Jody -- Chia, Nancy -- Fava, Mary -- Gibbons, John -- Handsaker, Bob -- Healy, Claire -- Nguyen, Kieu -- Gates, Casey -- Sougnez, Carrie -- Gage, Diane -- Nizzari, Marcia -- Gabriel, Stacey B -- Chirn, Gung-Wei -- Ma, Qicheng -- Parikh, Hemang -- Richardson, Delwood -- Ricke, Darrell -- Purcell, Shaun -- F32 DK079466/DK/NIDDK NIH HHS/ -- F32 DK079466-01/DK/NIDDK NIH HHS/ -- K23 DK067288/DK/NIDDK NIH HHS/ -- K23 DK080145/DK/NIDDK NIH HHS/ -- K23 DK080145-01/DK/NIDDK NIH HHS/ -- K23 DK65978-04/DK/NIDDK NIH HHS/ -- K23-HL083102/HL/NHLBI NIH HHS/ -- U01 HG004171/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2007 Jun 1;316(5829):1331-6. Epub 2007 Apr 26.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, MA 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17463246" target="_blank"〉PubMed〈/a〉

Description: The enzyme alpha1,3-galactosyltransferase (alpha1,3GT or GGTA1) synthesizes alpha1,3-galactose (alpha1,3Gal) epitopes (Galalpha1,3Galbeta1,4GlcNAc-R), which are the major xenoantigens causing hyperacute rejection in pig-to-human xenotransplantation. Complete removal of alpha1,3Gal from pig organs is the critical step toward the success of xenotransplantation. We reported earlier the targeted disruption of one allele of the alpha1,3GT gene in cloned pigs. A selection procedure based on a bacterial toxin was used to select for cells in which the second allele of the gene was knocked out. Sequencing analysis demonstrated that knockout of the second allele of the alpha1,3GT gene was caused by a T-to-G single point mutation at the second base of exon 9, which resulted in inactivation of the alpha1,3GT protein. Four healthy alpha1,3GT double-knockout female piglets were produced by three consecutive rounds of cloning. The piglets carrying a point mutation in the alpha1,3GT gene hold significant value, as they would allow production of alpha1,3Gal-deficient pigs free of antibiotic-resistance genes and thus have the potential to make a safer product for human use.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3154759/" 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/PMC3154759/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Phelps, Carol J -- Koike, Chihiro -- Vaught, Todd D -- Boone, Jeremy -- Wells, Kevin D -- Chen, Shu-Hung -- Ball, Suyapa -- Specht, Susan M -- Polejaeva, Irina A -- Monahan, Jeff A -- Jobst, Pete M -- Sharma, Sugandha B -- Lamborn, Ashley E -- Garst, Amy S -- Moore, Marilyn -- Demetris, Anthony J -- Rudert, William A -- Bottino, Rita -- Bertera, Suzanne -- Trucco, Massimo -- Starzl, Thomas E -- Dai, Yifan -- Ayares, David L -- DK29961/DK/NIDDK NIH HHS/ -- R01 AM007772/AM/NIADDK NIH HHS/ -- R01 DK029961-19/DK/NIDDK NIH HHS/ -- New York, N.Y. -- Science. 2003 Jan 17;299(5605):411-4. Epub 2002 Dec 19.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉PPL Therapeutics Inc., 1700 Kraft Drive, Blacksburg, VA 24060, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12493821" target="_blank"〉PubMed〈/a〉

Description: We report a draft sequence for the genome of the domesticated silkworm (Bombyx mori), covering 90.9% of all known silkworm genes. Our estimated gene count is 18,510, which exceeds the 13,379 genes reported for Drosophila melanogaster. Comparative analyses to fruitfly, mosquito, spider, and butterfly reveal both similarities and differences in gene content.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Xia, Qingyou -- Zhou, Zeyang -- Lu, Cheng -- Cheng, Daojun -- Dai, Fangyin -- Li, Bin -- Zhao, Ping -- Zha, Xingfu -- Cheng, Tingcai -- Chai, Chunli -- Pan, Guoqing -- Xu, Jinshan -- Liu, Chun -- Lin, Ying -- Qian, Jifeng -- Hou, Yong -- Wu, Zhengli -- Li, Guanrong -- Pan, Minhui -- Li, Chunfeng -- Shen, Yihong -- Lan, Xiqian -- Yuan, Lianwei -- Li, Tian -- Xu, Hanfu -- Yang, Guangwei -- Wan, Yongji -- Zhu, Yong -- Yu, Maode -- Shen, Weide -- Wu, Dayang -- Xiang, Zhonghuai -- Yu, Jun -- Wang, Jun -- Li, Ruiqiang -- Shi, Jianping -- Li, Heng -- Li, Guangyuan -- Su, Jianning -- Wang, Xiaoling -- Li, Guoqing -- Zhang, Zengjin -- Wu, Qingfa -- Li, Jun -- Zhang, Qingpeng -- Wei, Ning -- Xu, Jianzhe -- Sun, Haibo -- Dong, Le -- Liu, Dongyuan -- Zhao, Shengli -- Zhao, Xiaolan -- Meng, Qingshun -- Lan, Fengdi -- Huang, Xiangang -- Li, Yuanzhe -- Fang, Lin -- Li, Changfeng -- Li, Dawei -- Sun, Yongqiao -- Zhang, Zhenpeng -- Yang, Zheng -- Huang, Yanqing -- Xi, Yan -- Qi, Qiuhui -- He, Dandan -- Huang, Haiyan -- Zhang, Xiaowei -- Wang, Zhiqiang -- Li, Wenjie -- Cao, Yuzhu -- Yu, Yingpu -- Yu, Hong -- Li, Jinhong -- Ye, Jiehua -- Chen, Huan -- Zhou, Yan -- Liu, Bin -- Wang, Jing -- Ye, Jia -- Ji, Hai -- Li, Shengting -- Ni, Peixiang -- Zhang, Jianguo -- Zhang, Yong -- Zheng, Hongkun -- Mao, Bingyu -- Wang, Wen -- Ye, Chen -- Li, Songgang -- Wang, Jian -- Wong, Gane Ka-Shu -- Yang, Huanming -- Biology Analysis Group -- 1 P50 HG02351/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2004 Dec 10;306(5703):1937-40.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Southwest Agricultural University, Chongqing Beibei, 400716, China. xiaqy@swau.cq.cn〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/15591204" target="_blank"〉PubMed〈/a〉