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  • 1
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    American Association for the Advancement of Science (AAAS)
    Publication Date: 2012-03-24
    Description: Photoacoustic tomography (PAT) can create multiscale multicontrast images of living biological structures ranging from organelles to organs. This emerging technology overcomes the high degree of scattering of optical photons in biological tissue by making use of the photoacoustic effect. Light absorption by molecules creates a thermally induced pressure jump that launches ultrasonic waves, which are received by acoustic detectors to form images. Different implementations of PAT allow the spatial resolution to be scaled with the desired imaging depth in tissue while a high depth-to-resolution ratio is maintained. As a rule of thumb, the achievable spatial resolution is on the order of 1/200 of the desired imaging depth, which can reach up to 7 centimeters. PAT provides anatomical, functional, metabolic, molecular, and genetic contrasts of vasculature, hemodynamics, oxygen metabolism, biomarkers, and gene expression. We review the state of the art of PAT for both biological and clinical studies and discuss future prospects.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3322413/" 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/PMC3322413/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wang, Lihong V -- Hu, Song -- R01 CA134539/CA/NCI NIH HHS/ -- R01 CA134539-04/CA/NCI NIH HHS/ -- R01 CA157277/CA/NCI NIH HHS/ -- R01 CA157277-02/CA/NCI NIH HHS/ -- R01 CA159959/CA/NCI NIH HHS/ -- R01 CA159959-01/CA/NCI NIH HHS/ -- R01 EB000712/EB/NIBIB NIH HHS/ -- R01 EB000712-09/EB/NIBIB NIH HHS/ -- R01 EB008085/EB/NIBIB NIH HHS/ -- R01 EB008085-04/EB/NIBIB NIH HHS/ -- R01 EB010049/EB/NIBIB NIH HHS/ -- R01 EB010049-03/EB/NIBIB NIH HHS/ -- U54 CA136398/CA/NCI NIH HHS/ -- U54 CA136398-05/CA/NCI NIH HHS/ -- New York, N.Y. -- Science. 2012 Mar 23;335(6075):1458-62. doi: 10.1126/science.1216210.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Optical Imaging Laboratory, Department of Biomedical Engineering, Washington University, St. Louis, MO 63130, USA. lhwang@wustl.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22442475" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Cell Physiological Processes ; Cells/ultrastructure ; Genetic Processes ; Humans ; Lasers ; Organelles/ultrastructure ; *Photoacoustic Techniques/instrumentation/methods ; *Physiological Processes ; *Tomography/instrumentation/methods
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2013-07-06
    Description: DNA methylation is implicated in mammalian brain development and plasticity underlying learning and memory. We report the genome-wide composition, patterning, cell specificity, and dynamics of DNA methylation at single-base resolution in human and mouse frontal cortex throughout their lifespan. Widespread methylome reconfiguration occurs during fetal to young adult development, coincident with synaptogenesis. During this period, highly conserved non-CG methylation (mCH) accumulates in neurons, but not glia, to become the dominant form of methylation in the human neuronal genome. Moreover, we found an mCH signature that identifies genes escaping X-chromosome inactivation. Last, whole-genome single-base resolution 5-hydroxymethylcytosine (hmC) maps revealed that hmC marks fetal brain cell genomes at putative regulatory regions that are CG-demethylated and activated in the adult brain and that CG demethylation at these hmC-poised loci depends on Tet2 activity.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3785061/" 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/PMC3785061/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lister, Ryan -- Mukamel, Eran A -- Nery, Joseph R -- Urich, Mark -- Puddifoot, Clare A -- Johnson, Nicholas D -- Lucero, Jacinta -- Huang, Yun -- Dwork, Andrew J -- Schultz, Matthew D -- Yu, Miao -- Tonti-Filippini, Julian -- Heyn, Holger -- Hu, Shijun -- Wu, Joseph C -- Rao, Anjana -- Esteller, Manel -- He, Chuan -- Haghighi, Fatemeh G -- Sejnowski, Terrence J -- Behrens, M Margarita -- Ecker, Joseph R -- AI44432/AI/NIAID NIH HHS/ -- CA151535/CA/NCI NIH HHS/ -- HD065812/HD/NICHD NIH HHS/ -- HG006827/HG/NHGRI NIH HHS/ -- K99NS080911/NS/NINDS NIH HHS/ -- MH094670/MH/NIMH NIH HHS/ -- R01 AI044432/AI/NIAID NIH HHS/ -- R01 CA151535/CA/NCI NIH HHS/ -- R01 HD065812/HD/NICHD NIH HHS/ -- R01 HG006827/HG/NHGRI NIH HHS/ -- R01 MH094670/MH/NIMH NIH HHS/ -- R01 MH094774/MH/NIMH NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2013 Aug 9;341(6146):1237905. doi: 10.1126/science.1237905. Epub 2013 Jul 4.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA. ryan.lister@uwa.edu.au〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23828890" target="_blank"〉PubMed〈/a〉
    Keywords: 5-Methylcytosine/metabolism ; Adult ; Animals ; Base Sequence ; Conserved Sequence ; Cytosine/*analogs & derivatives/metabolism ; *DNA Methylation ; *Epigenesis, Genetic ; Epigenomics ; Frontal Lobe/*growth & development ; *Gene Expression Regulation, Developmental ; Genome-Wide Association Study ; Humans ; Longevity ; Mice ; Mice, Inbred C57BL ; X Chromosome Inactivation/genetics
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2004-02-21
    Description: The Sir2 deacetylase modulates organismal life-span in various species. However, the molecular mechanisms by which Sir2 increases longevity are largely unknown. We show that in mammalian cells, the Sir2 homolog SIRT1 appears to control the cellular response to stress by regulating the FOXO family of Forkhead transcription factors, a family of proteins that function as sensors of the insulin signaling pathway and as regulators of organismal longevity. SIRT1 and the FOXO transcription factor FOXO3 formed a complex in cells in response to oxidative stress, and SIRT1 deacetylated FOXO3 in vitro and within cells. SIRT1 had a dual effect on FOXO3 function: SIRT1 increased FOXO3's ability to induce cell cycle arrest and resistance to oxidative stress but inhibited FOXO3's ability to induce cell death. Thus, one way in which members of the Sir2 family of proteins may increase organismal longevity is by tipping FOXO-dependent responses away from apoptosis and toward stress resistance.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Brunet, Anne -- Sweeney, Lora B -- Sturgill, J Fitzhugh -- Chua, Katrin F -- Greer, Paul L -- Lin, Yingxi -- Tran, Hien -- Ross, Sarah E -- Mostoslavsky, Raul -- Cohen, Haim Y -- Hu, Linda S -- Cheng, Hwei-Ling -- Jedrychowski, Mark P -- Gygi, Steven P -- Sinclair, David A -- Alt, Frederick W -- Greenberg, Michael E -- NIHP30-HD18655/HD/NICHD NIH HHS/ -- P01 NS35138-17/NS/NINDS NIH HHS/ -- New York, N.Y. -- Science. 2004 Mar 26;303(5666):2011-5. Epub 2004 Feb 19.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Neuroscience, Children's Hospital, and Department of Neurobiology, Center for Blood Research (CBR) Institute for Biomedical Research, Harvard Medical School, Boston, MA 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/14976264" target="_blank"〉PubMed〈/a〉
    Keywords: Acetylation ; Animals ; Apoptosis ; Cell Cycle ; Cell Line ; Cell Nucleus/metabolism ; Cells, Cultured ; Cerebellum/cytology ; Forkhead Transcription Factors ; Gene Expression Profiling ; Gene Expression Regulation ; Histone Deacetylases/genetics/*metabolism ; Humans ; Intracellular Signaling Peptides and Proteins ; Mice ; Mice, Knockout ; Neurons/cytology ; *Oxidative Stress ; Phosphorylation ; Proteins/genetics ; Recombinant Proteins/metabolism ; Sirtuin 1 ; Sirtuins/genetics/*metabolism ; Transcription Factors/genetics/*metabolism ; Transcription, Genetic
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2013-06-19
    Description: Rett syndrome (RTT) is an X-linked human neurodevelopmental disorder with features of autism and severe neurological dysfunction in females. RTT is caused by mutations in methyl-CpG-binding protein 2 (MeCP2), a nuclear protein that, in neurons, regulates transcription, is expressed at high levels similar to that of histones, and binds to methylated cytosines broadly across the genome. By phosphotryptic mapping, we identify three sites (S86, S274 and T308) of activity-dependent MeCP2 phosphorylation. Phosphorylation of these sites is differentially induced by neuronal activity, brain-derived neurotrophic factor, or agents that elevate the intracellular level of 3',5'-cyclic AMP (cAMP), indicating that MeCP2 may function as an epigenetic regulator of gene expression that integrates diverse signals from the environment. Here we show that the phosphorylation of T308 blocks the interaction of the repressor domain of MeCP2 with the nuclear receptor co-repressor (NCoR) complex and suppresses the ability of MeCP2 to repress transcription. In knock-in mice bearing the common human RTT missense mutation R306C, neuronal activity fails to induce MeCP2 T308 phosphorylation, suggesting that the loss of T308 phosphorylation might contribute to RTT. Consistent with this possibility, the mutation of MeCP2 T308A in mice leads to a decrease in the induction of a subset of activity-regulated genes and to RTT-like symptoms. These findings indicate that the activity-dependent phosphorylation of MeCP2 at T308 regulates the interaction of MeCP2 with the NCoR complex, and that RTT in humans may be due, in part, to the loss of activity-dependent MeCP2 T308 phosphorylation and a disruption of the phosphorylation-regulated interaction of MeCP2 with the NCoR complex.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3922283/" 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/PMC3922283/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ebert, Daniel H -- Gabel, Harrison W -- Robinson, Nathaniel D -- Kastan, Nathaniel R -- Hu, Linda S -- Cohen, Sonia -- Navarro, Adrija J -- Lyst, Matthew J -- Ekiert, Robert -- Bird, Adrian P -- Greenberg, Michael E -- 092076/Wellcome Trust/United Kingdom -- K08 MH090306/MH/NIMH NIH HHS/ -- K08MH90306/MH/NIMH NIH HHS/ -- P30 HD018655/HD/NICHD NIH HHS/ -- P30-HD 18655/HD/NICHD NIH HHS/ -- R01 NS048276/NS/NINDS NIH HHS/ -- R01NS048276/NS/NINDS NIH HHS/ -- T32 GM007753/GM/NIGMS NIH HHS/ -- England -- Nature. 2013 Jul 18;499(7458):341-5. doi: 10.1038/nature12348.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Neurobiology, Harvard Medical School, and Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts 02114, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23770587" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Cells, Cultured ; Co-Repressor Proteins/*metabolism ; Humans ; Methyl-CpG-Binding Protein 2/chemistry/genetics/*metabolism ; Mice ; Mutation ; Neurons/metabolism ; Phosphorylation ; Rett Syndrome/genetics ; Threonine/*metabolism ; Transcription, Genetic
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2013-03-15
    Description: Tapeworms (Cestoda) cause neglected diseases that can be fatal and are difficult to treat, owing to inefficient drugs. Here we present an analysis of tapeworm genome sequences using the human-infective species Echinococcus multilocularis, E. granulosus, Taenia solium and the laboratory model Hymenolepis microstoma as examples. The 115- to 141-megabase genomes offer insights into the evolution of parasitism. Synteny is maintained with distantly related blood flukes but we find extreme losses of genes and pathways that are ubiquitous in other animals, including 34 homeobox families and several determinants of stem cell fate. Tapeworms have specialized detoxification pathways, metabolism that is finely tuned to rely on nutrients scavenged from their hosts, and species-specific expansions of non-canonical heat shock proteins and families of known antigens. We identify new potential drug targets, including some on which existing pharmaceuticals may act. The genomes provide a rich resource to underpin the development of urgently needed treatments and control.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3964345/" 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/PMC3964345/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Tsai, Isheng J -- Zarowiecki, Magdalena -- Holroyd, Nancy -- Garciarrubio, Alejandro -- Sanchez-Flores, Alejandro -- Brooks, Karen L -- Tracey, Alan -- Bobes, Raul J -- Fragoso, Gladis -- Sciutto, Edda -- Aslett, Martin -- Beasley, Helen -- Bennett, Hayley M -- Cai, Jianping -- Camicia, Federico -- Clark, Richard -- Cucher, Marcela -- De Silva, Nishadi -- Day, Tim A -- Deplazes, Peter -- Estrada, Karel -- Fernandez, Cecilia -- Holland, Peter W H -- Hou, Junling -- Hu, Songnian -- Huckvale, Thomas -- Hung, Stacy S -- Kamenetzky, Laura -- Keane, Jacqueline A -- Kiss, Ferenc -- Koziol, Uriel -- Lambert, Olivia -- Liu, Kan -- Luo, Xuenong -- Luo, Yingfeng -- Macchiaroli, Natalia -- Nichol, Sarah -- Paps, Jordi -- Parkinson, John -- Pouchkina-Stantcheva, Natasha -- Riddiford, Nick -- Rosenzvit, Mara -- Salinas, Gustavo -- Wasmuth, James D -- Zamanian, Mostafa -- Zheng, Yadong -- Taenia solium Genome Consortium -- Cai, Xuepeng -- Soberon, Xavier -- Olson, Peter D -- Laclette, Juan P -- Brehm, Klaus -- Berriman, Matthew -- 085775/Wellcome Trust/United Kingdom -- 098051/Wellcome Trust/United Kingdom -- BBG0038151/Biotechnology and Biological Sciences Research Council/United Kingdom -- MOP#84556/Canadian Institutes of Health Research/Canada -- TW008588/TW/FIC NIH HHS/ -- England -- Nature. 2013 Apr 4;496(7443):57-63. doi: 10.1038/nature12031. Epub 2013 Mar 13.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Parasite Genomics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23485966" target="_blank"〉PubMed〈/a〉
    Keywords: Adaptation, Physiological/*genetics ; Animals ; Biological Evolution ; Cestoda/drug effects/*genetics/physiology ; Cestode Infections/drug therapy/metabolism ; Conserved Sequence/genetics ; Echinococcus granulosus/genetics ; Echinococcus multilocularis/drug effects/genetics/metabolism ; Genes, Helminth/genetics ; Genes, Homeobox/genetics ; Genome, Helminth/*genetics ; HSP70 Heat-Shock Proteins/genetics ; Humans ; Hymenolepis/genetics ; Metabolic Networks and Pathways/genetics ; Molecular Targeted Therapy ; Parasites/drug effects/*genetics/physiology ; Proteome/genetics ; Stem Cells/cytology/metabolism ; Taenia solium/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 6
    Publication Date: 2014-08-29
    Description: Genome function is dynamically regulated in part by chromatin, which consists of the histones, non-histone proteins and RNA molecules that package DNA. Studies in Caenorhabditis elegans and Drosophila melanogaster have contributed substantially to our understanding of molecular mechanisms of genome function in humans, and have revealed conservation of chromatin components and mechanisms. Nevertheless, the three organisms have markedly different genome sizes, chromosome architecture and gene organization. On human and fly chromosomes, for example, pericentric heterochromatin flanks single centromeres, whereas worm chromosomes have dispersed heterochromatin-like regions enriched in the distal chromosomal 'arms', and centromeres distributed along their lengths. To systematically investigate chromatin organization and associated gene regulation across species, we generated and analysed a large collection of genome-wide chromatin data sets from cell lines and developmental stages in worm, fly and human. Here we present over 800 new data sets from our ENCODE and modENCODE consortia, bringing the total to over 1,400. Comparison of combinatorial patterns of histone modifications, nuclear lamina-associated domains, organization of large-scale topological domains, chromatin environment at promoters and enhancers, nucleosome positioning, and DNA replication patterns reveals many conserved features of chromatin organization among the three organisms. We also find notable differences in the composition and locations of repressive chromatin. These data sets and analyses provide a rich resource for comparative and species-specific investigations of chromatin composition, organization and function.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4227084/" 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/PMC4227084/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ho, Joshua W K -- Jung, Youngsook L -- Liu, Tao -- Alver, Burak H -- Lee, Soohyun -- Ikegami, Kohta -- Sohn, Kyung-Ah -- Minoda, Aki -- Tolstorukov, Michael Y -- Appert, Alex -- Parker, Stephen C J -- Gu, Tingting -- Kundaje, Anshul -- Riddle, Nicole C -- Bishop, Eric -- Egelhofer, Thea A -- Hu, Sheng'en Shawn -- Alekseyenko, Artyom A -- Rechtsteiner, Andreas -- Asker, Dalal -- Belsky, Jason A -- Bowman, Sarah K -- Chen, Q Brent -- Chen, Ron A-J -- Day, Daniel S -- Dong, Yan -- Dose, Andrea C -- Duan, Xikun -- Epstein, Charles B -- Ercan, Sevinc -- Feingold, Elise A -- Ferrari, Francesco -- Garrigues, Jacob M -- Gehlenborg, Nils -- Good, Peter J -- Haseley, Psalm -- He, Daniel -- Herrmann, Moritz -- Hoffman, Michael M -- Jeffers, Tess E -- Kharchenko, Peter V -- Kolasinska-Zwierz, Paulina -- Kotwaliwale, Chitra V -- Kumar, Nischay -- Langley, Sasha A -- Larschan, Erica N -- Latorre, Isabel -- Libbrecht, Maxwell W -- Lin, Xueqiu -- Park, Richard -- Pazin, Michael J -- Pham, Hoang N -- Plachetka, Annette -- Qin, Bo -- Schwartz, Yuri B -- Shoresh, Noam -- Stempor, Przemyslaw -- Vielle, Anne -- Wang, Chengyang -- Whittle, Christina M -- Xue, Huiling -- Kingston, Robert E -- Kim, Ju Han -- Bernstein, Bradley E -- Dernburg, Abby F -- Pirrotta, Vincenzo -- Kuroda, Mitzi I -- Noble, William S -- Tullius, Thomas D -- Kellis, Manolis -- MacAlpine, David M -- Strome, Susan -- Elgin, Sarah C R -- Liu, Xiaole Shirley -- Lieb, Jason D -- Ahringer, Julie -- Karpen, Gary H -- Park, Peter J -- 092096/Wellcome Trust/United Kingdom -- 101863/Wellcome Trust/United Kingdom -- 54523/Wellcome Trust/United Kingdom -- 5RL9EB008539/EB/NIBIB NIH HHS/ -- K99 HG006259/HG/NHGRI NIH HHS/ -- K99HG006259/HG/NHGRI NIH HHS/ -- R01 GM098461/GM/NIGMS NIH HHS/ -- R01 HG004037/HG/NHGRI NIH HHS/ -- R37 GM048405/GM/NIGMS NIH HHS/ -- T32 GM071340/GM/NIGMS NIH HHS/ -- T32 HG002295/HG/NHGRI NIH HHS/ -- U01 HG004258/HG/NHGRI NIH HHS/ -- U01 HG004270/HG/NHGRI NIH HHS/ -- U01 HG004279/HG/NHGRI NIH HHS/ -- U01 HG004695/HG/NHGRI NIH HHS/ -- U01HG004258/HG/NHGRI NIH HHS/ -- U01HG004270/HG/NHGRI NIH HHS/ -- U01HG004279/HG/NHGRI NIH HHS/ -- U01HG004695/HG/NHGRI NIH HHS/ -- U54 CA121852/CA/NCI NIH HHS/ -- U54 HG004570/HG/NHGRI NIH HHS/ -- U54 HG006991/HG/NHGRI NIH HHS/ -- U54CA121852/CA/NCI NIH HHS/ -- U54HG004570/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2014 Aug 28;512(7515):449-52. doi: 10.1038/nature13415.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA [3] [4] Victor Chang Cardiac Research Institute and The University of New South Wales, Sydney, New South Wales 2052, Australia (J.W.K.H.); Department of Biochemistry, University at Buffalo, Buffalo, New York 14203, USA (T.L.); Department of Molecular Biology and Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08540, USA (K.I., T.E.J.); Department of Human Genetics, University of Chicago, Chicago, Illinois 06037, USA (J.D.L.); Division of Genomic Technologies, Center for Life Science Technologies, RIKEN, Yokohama 230-0045, Japan (A.M.); Department of Genetics, Department of Computer Science, Stanford University, Stanford, California 94305, USA (A.K.); Department of Biology, The University of Alabama at Birmingham, Birmingham, Alabama 35294, USA (N.C.R.). ; 1] Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA [3]. ; 1] Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA [2] Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard School of Public Health, 450 Brookline Avenue, Boston, Massachusetts 02215, USA [3] [4] Victor Chang Cardiac Research Institute and The University of New South Wales, Sydney, New South Wales 2052, Australia (J.W.K.H.); Department of Biochemistry, University at Buffalo, Buffalo, New York 14203, USA (T.L.); Department of Molecular Biology and Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08540, USA (K.I., T.E.J.); Department of Human Genetics, University of Chicago, Chicago, Illinois 06037, USA (J.D.L.); Division of Genomic Technologies, Center for Life Science Technologies, RIKEN, Yokohama 230-0045, Japan (A.M.); Department of Genetics, Department of Computer Science, Stanford University, Stanford, California 94305, USA (A.K.); Department of Biology, The University of Alabama at Birmingham, Birmingham, Alabama 35294, USA (N.C.R.). ; Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA. ; 1] Department of Biology and Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA [2] Victor Chang Cardiac Research Institute and The University of New South Wales, Sydney, New South Wales 2052, Australia (J.W.K.H.); Department of Biochemistry, University at Buffalo, Buffalo, New York 14203, USA (T.L.); Department of Molecular Biology and Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08540, USA (K.I., T.E.J.); Department of Human Genetics, University of Chicago, Chicago, Illinois 06037, USA (J.D.L.); Division of Genomic Technologies, Center for Life Science Technologies, RIKEN, Yokohama 230-0045, Japan (A.M.); Department of Genetics, Department of Computer Science, Stanford University, Stanford, California 94305, USA (A.K.); Department of Biology, The University of Alabama at Birmingham, Birmingham, Alabama 35294, USA (N.C.R.). ; 1] Department of Information and Computer Engineering, Ajou University, Suwon 443-749, Korea [2] Systems Biomedical Informatics Research Center, College of Medicine, Seoul National University, Seoul 110-799, Korea. ; 1] Department of Genome Dynamics, Life Sciences Division, Lawrence Berkeley National Lab, Berkeley, California 94720, USA [2] Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California 94720, USA [3] Victor Chang Cardiac Research Institute and The University of New South Wales, Sydney, New South Wales 2052, Australia (J.W.K.H.); Department of Biochemistry, University at Buffalo, Buffalo, New York 14203, USA (T.L.); Department of Molecular Biology and Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08540, USA (K.I., T.E.J.); Department of Human Genetics, University of Chicago, Chicago, Illinois 06037, USA (J.D.L.); Division of Genomic Technologies, Center for Life Science Technologies, RIKEN, Yokohama 230-0045, Japan (A.M.); Department of Genetics, Department of Computer Science, Stanford University, Stanford, California 94305, USA (A.K.); Department of Biology, The University of Alabama at Birmingham, Birmingham, Alabama 35294, USA (N.C.R.). ; 1] Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA [3] Department of Molecular Biology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA. ; The Gurdon Institute and Department of Genetics, University of Cambridge, Tennis Court Road, Cambridge CB2 1QN, UK. ; 1] National Institute of General Medical Sciences, National Institutes of Health, Bethesda, Maryland 20892, USA [2] National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA. ; Department of Biology, Washington University in St. Louis, St. Louis, Missouri 63130, USA. ; 1] Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA [2] Broad Institute, Cambridge, Massachusetts 02141, USA [3] Victor Chang Cardiac Research Institute and The University of New South Wales, Sydney, New South Wales 2052, Australia (J.W.K.H.); Department of Biochemistry, University at Buffalo, Buffalo, New York 14203, USA (T.L.); Department of Molecular Biology and Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08540, USA (K.I., T.E.J.); Department of Human Genetics, University of Chicago, Chicago, Illinois 06037, USA (J.D.L.); Division of Genomic Technologies, Center for Life Science Technologies, RIKEN, Yokohama 230-0045, Japan (A.M.); Department of Genetics, Department of Computer Science, Stanford University, Stanford, California 94305, USA (A.K.); Department of Biology, The University of Alabama at Birmingham, Birmingham, Alabama 35294, USA (N.C.R.). ; 1] Department of Biology, Washington University in St. Louis, St. Louis, Missouri 63130, USA [2] Victor Chang Cardiac Research Institute and The University of New South Wales, Sydney, New South Wales 2052, Australia (J.W.K.H.); Department of Biochemistry, University at Buffalo, Buffalo, New York 14203, USA (T.L.); Department of Molecular Biology and Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08540, USA (K.I., T.E.J.); Department of Human Genetics, University of Chicago, Chicago, Illinois 06037, USA (J.D.L.); Division of Genomic Technologies, Center for Life Science Technologies, RIKEN, Yokohama 230-0045, Japan (A.M.); Department of Genetics, Department of Computer Science, Stanford University, Stanford, California 94305, USA (A.K.); Department of Biology, The University of Alabama at Birmingham, Birmingham, Alabama 35294, USA (N.C.R.). ; 1] Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Program in Bioinformatics, Boston University, Boston, Massachusetts 02215, USA. ; Department of Molecular, Cell and Developmental Biology, University of California Santa Cruz, Santa Cruz, California 95064, USA. ; Department of Bioinformatics, School of Life Science and Technology, Tongji University, Shanghai 200092, China. ; 1] Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA. ; 1] Department of Molecular Biology and Biochemistry, Rutgers University, Piscataway, New Jersey 08854, USA [2] Food Science and Technology Department, Faculty of Agriculture, Alexandria University, 21545 El-Shatby, Alexandria, Egypt. ; Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, North Carolina 27710, USA. ; Department of Molecular Biology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA. ; Department of Biology and Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA. ; 1] Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Harvard/MIT Division of Health Sciences and Technology, Cambridge, Massachusetts 02139, USA. ; Department of Anatomy Physiology and Cell Biology, University of California Davis, Davis, California 95616, USA. ; Broad Institute, Cambridge, Massachusetts 02141, USA. ; 1] Department of Biology and Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA [2] Department of Biology, Center for Genomics and Systems Biology, New York University, New York, New York 10003, USA. ; National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA. ; 1] Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Broad Institute, Cambridge, Massachusetts 02141, USA. ; 1] Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA. ; Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California 94720, USA. ; Princess Margaret Cancer Centre, Toronto, Ontario M6G 1L7, Canada. ; 1] Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California 94720, USA [2] Howard Hughes Medical Institute, Chevy Chase, Maryland 20815, USA. ; 1] Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA [2] Broad Institute, Cambridge, Massachusetts 02141, USA. ; 1] Department of Genome Dynamics, Life Sciences Division, Lawrence Berkeley National Lab, Berkeley, California 94720, USA [2] Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California 94720, USA. ; Department of Molecular Biology, Cellular Biology and Biochemistry, Brown University, Providence, Rhode Island 02912, USA. ; Department of Computer Science and Engineering, University of Washington, Seattle, Washington 98195, USA. ; 1] Department of Genome Dynamics, Life Sciences Division, Lawrence Berkeley National Lab, Berkeley, California 94720, USA [2] Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California 94720, USA [3] Howard Hughes Medical Institute, Chevy Chase, Maryland 20815, USA. ; 1] Department of Molecular Biology and Biochemistry, Rutgers University, Piscataway, New Jersey 08854, USA [2] Department of Molecular Biology, Umea University, 901 87 Umea, Sweden. ; 1] Systems Biomedical Informatics Research Center, College of Medicine, Seoul National University, Seoul 110-799, Korea [2] Seoul National University Biomedical Informatics, Division of Biomedical Informatics, College of Medicine, Seoul National University, Seoul 110-799, Korea. ; 1] Broad Institute, Cambridge, Massachusetts 02141, USA [2] Howard Hughes Medical Institute, Chevy Chase, Maryland 20815, USA [3] Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA. ; Department of Molecular Biology and Biochemistry, Rutgers University, Piscataway, New Jersey 08854, USA. ; 1] Department of Computer Science and Engineering, University of Washington, Seattle, Washington 98195, USA [2] Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA. ; 1] Program in Bioinformatics, Boston University, Boston, Massachusetts 02215, USA [2] Department of Chemistry, Boston University, Boston, Massachusetts 02215, USA. ; 1] Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA [2] Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard School of Public Health, 450 Brookline Avenue, Boston, Massachusetts 02215, USA [3] Broad Institute, Cambridge, Massachusetts 02141, USA. ; 1] Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA [2] Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA [3] Informatics Program, Children's Hospital, Boston, Massachusetts 02215, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25164756" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Caenorhabditis elegans/*cytology/*genetics ; Cell Line ; Centromere/genetics/metabolism ; Chromatin/chemistry/*genetics/*metabolism ; Chromatin Assembly and Disassembly/genetics ; DNA Replication/genetics ; Drosophila melanogaster/*cytology/*genetics ; Enhancer Elements, Genetic/genetics ; Epigenesis, Genetic ; Heterochromatin/chemistry/genetics/metabolism ; Histones/chemistry/metabolism ; Humans ; Molecular Sequence Annotation ; Nuclear Lamina/metabolism ; Nucleosomes/chemistry/genetics/metabolism ; Promoter Regions, Genetic/genetics ; Species Specificity
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 7
    Publication Date: 1993-07-16
    Description: The role of genetics in male sexual orientation was investigated by pedigree and linkage analyses on 114 families of homosexual men. Increased rates of same-sex orientation were found in the maternal uncles and male cousins of these subjects, but not in their fathers or paternal relatives, suggesting the possibility of sex-linked transmission in a portion of the population. DNA linkage analysis of a selected group of 40 families in which there were two gay brothers and no indication of nonmaternal transmission revealed a correlation between homosexual orientation and the inheritance of polymorphic markers on the X chromosome in approximately 64 percent of the sib-pairs tested. The linkage to markers on Xq28, the subtelomeric region of the long arm of the sex chromosome, had a multipoint lod score of 4.0 (P = 10(-5), indicating a statistical confidence level of more than 99 percent that at least one subtype of male sexual orientation is genetically influenced.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Hamer, D H -- Hu, S -- Magnuson, V L -- Hu, N -- Pattatucci, A M -- New York, N.Y. -- Science. 1993 Jul 16;261(5119):321-7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Laboratory of Biochemistry, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/8332896" target="_blank"〉PubMed〈/a〉
    Keywords: Female ; *Genes ; *Genetic Linkage ; Genetic Markers ; Genotype ; *Homosexuality ; Humans ; Male ; Pedigree ; Phenotype ; *X Chromosome
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 8
    Publication Date: 2011-06-02
    Description: The retrovirus XMRV (xenotropic murine leukemia virus-related virus) has been detected in human prostate tumors and in blood samples from patients with chronic fatigue syndrome, but these findings have not been replicated. We hypothesized that an understanding of when and how XMRV first arose might help explain the discrepant results. We studied human prostate cancer cell lines CWR22Rv1 and CWR-R1, which produce XMRV virtually identical to the viruses recently found in patient samples, as well as their progenitor human prostate tumor xenograft (CWR22) that had been passaged in mice. We detected XMRV infection in the two cell lines and in the later passage xenografts, but not in the early passages. In particular, we found that the host mice contained two proviruses, PreXMRV-1 and PreXMRV-2, which share 99.92% identity with XMRV over 〉3.2-kilobase stretches of their genomes. We conclude that XMRV was not present in the original CWR22 tumor but was generated by recombination of two proviruses during tumor passaging in mice. The probability that an identical recombinant was generated independently is negligible (~10(-12)); our results suggest that the association of XMRV with human disease is due to contamination of human samples with virus originating from this recombination event.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3278917/" 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/PMC3278917/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Paprotka, Tobias -- Delviks-Frankenberry, Krista A -- Cingoz, Oya -- Martinez, Anthony -- Kung, Hsing-Jien -- Tepper, Clifford G -- Hu, Wei-Shau -- Fivash, Matthew J Jr -- Coffin, John M -- Pathak, Vinay K -- P30 CA093373/CA/NCI NIH HHS/ -- R01CA150197/CA/NCI NIH HHS/ -- R37 CA 089441/CA/NCI NIH HHS/ -- R37 CA089441/CA/NCI NIH HHS/ -- R37 CA089441-11/CA/NCI NIH HHS/ -- ZIA BC011339-02/Intramural NIH HHS/ -- New York, N.Y. -- Science. 2011 Jul 1;333(6038):97-101. doi: 10.1126/science.1205292. Epub 2011 May 31.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Viral Mutation Section, HIV Drug Resistance Program, National Cancer Institute at Frederick, Frederick, MD 21702, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21628392" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Cell Line, Tumor/*virology ; DNA Contamination ; DNA, Viral/analysis ; Endogenous Retroviruses/genetics ; Fatigue Syndrome, Chronic/virology ; Gammaretrovirus/*genetics ; Genes, env ; Genes, gag ; Humans ; Male ; Mice ; Mice, Nude ; Neoplasm Transplantation ; Polymerase Chain Reaction ; Prostatic Neoplasms/*virology ; Proviruses/genetics/isolation & purification ; *Recombination, Genetic ; Transplantation, Heterologous ; Xenotropic murine leukemia virus-related virus/*genetics/*isolation & ; purification
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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