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  • Humans  (15)
  • Animals  (14)
  • International Polar Year (2007-2008); IPY  (3)
  • D70
  • F22
  • 2010-2014  (15)
  • 2005-2009  (7)
  • 2000-2004  (2)
  • 1
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    PANGAEA
    In:  Supplement to: Epstein, Howard E; Raynolds, Martha K; Walker, Donald A; Bhatt, Uma S; Tucker, Compton J; Pinzon, Jorge E (2012): Dynamics of aboveground phytomass of the circumpolar Arctic tundra during the past three decades. Environmental Research Letters, 7(1), 12 pp, https://doi.org/10.1088/1748-9326/7/1/015506
    Publication Date: 2023-12-13
    Description: Numerous studies have evaluated the dynamics of Arctic tundra vegetation throughout the past few decades, using remotely sensed proxies of vegetation, such as the normalized difference vegetation index (NDVI). While extremely useful, these coarse-scale satellite-derived measurements give us minimal information with regard to how these changes are being expressed on the ground, in terms of tundra structure and function. In this analysis, we used a strong regression model between NDVI and aboveground tundra phytomass, developed from extensive field-harvested measurements of vegetation biomass, to estimate the biomass dynamics of the circumpolar Arctic tundra over the period of continuous satellite records (1982-2010). We found that the southernmost tundra subzones (C-E) dominate the increases in biomass, ranging from 20 to 26%, although there was a high degree of heterogeneity across regions, floristic provinces, and vegetation types. The estimated increase in carbon of the aboveground live vegetation of 0.40 Pg C over the past three decades is substantial, although quite small relative to anthropogenic C emissions. However, a 19.8% average increase in aboveground biomass has major implications for nearly all aspects of tundra ecosystems including hydrology, active layer depths, permafrost regimes, wildlife and human use of Arctic landscapes. While spatially extensive on-the-ground measurements of tundra biomass were conducted in the development of this analysis, validation is still impossible without more repeated, long-term monitoring of Arctic tundra biomass in the field.
    Keywords: International Polar Year (2007-2008); IPY
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 2
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    PANGAEA
    In:  Supplement to: Walker, Donald A; Kuss, Patrick; Epstein, Howard E; Kade, Anja N; Vonlanthen, Corinne M; Raynolds, Martha K; Daniëls, Frederikus J A (2011): Vegetation of zonal patterned-ground ecosystems along the North America Arctic bioclimate gradient. Applied Vegetation Science, 14(4), 440-463, https://doi.org/10.1111/j.1654-109X.2011.01149.x
    Publication Date: 2023-12-13
    Description: Question: How do interactions between the physical environment and biotic properties of vegetation influence the formation of small patterned-ground features along the Arctic bioclimate gradient? Location: At 68° to 78°N: six locations along the Dalton Highway in arctic Alaska and three in Canada (Banks Island, Prince Patrick Island and Ellef Ringnes Island). Methods: We analysed floristic and structural vegetation, biomass and abiotic data (soil chemical and physical parameters, the n-factor [a soil thermal index] and spectral information [NDVI, LAI]) on 147 microhabitat releves of zonalpatterned-ground features. Using mapping, table analysis (JUICE) and ordination techniques (NMDS). Results: Table analysis using JUICE and the phi-coefficient to identify diagnostic species revealed clear groups of diagnostic plant taxa in four of the five zonal vegetation complexes. Plant communities and zonal complexes were generally well separated in the NMDS ordination. The Alaska and Canada communities were spatially separated in the ordination because of different glacial histories and location in separate floristic provinces, but there was no single controlling environmental gradient. Vegetation structure, particularly that of bryophytes and total biomass, strongly affected thermal properties of the soils. Patterned-ground complexes with the largest thermal differential between the patterned-ground features and the surrounding vegetation exhibited the clearest patterned-ground morphologies.
    Keywords: International Polar Year (2007-2008); IPY
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 3
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    PANGAEA
    In:  Supplement to: Walker, Donald A; Epstein, Howard E; Leibman, Marina O; Moskalenko, Nataliya G; Orekhov, Pavel; Kuss, Patrick; Matyshak, George V; Kaarlejärvi, Elina; Forbes, Bruce C; Barbour, E M; Gobroski, K (2009): Data Report of the 2007 and 2008 Yamal Expeditions. Alaska Geobotany Center, Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, AK, 121 pp
    Publication Date: 2024-01-24
    Description: The overarching goal of the Yamal portion of the Greening of the Arctic project is to examine how the terrain and anthropogenic factors of reindeer herding and resource development combined with the climate variations on the Yamal Peninsula affect the spatial and temporal patterns of vegetation change and how these changes are in turn affecting traditional herding of the indigenous people of the region. The purpose of the expeditions was to collect groundobservations in support of remote sensing studies at four locations along a transect that traverses all the major bioclimate subzones of the Yamal Peninsula. This data report is a summary of information collected during the 2007 and 2008 expeditions. It includes all the information from the 2008 data report (Walker et al. 2008) plus new information collected at Kharasavey in Aug 2008. The locations included in this report are Nadym (northern taiga subzone), Laborovaya (southern tundra = subzone E of the Circumpolar Arctic Vegetation Map (CAVM), Vaskiny Dachi (southern typical tundra = subzone D), and Kharasavey (northern typical tundra = subzone C). Another expedition is planned for summer 2009 to the northernmost site at Belyy Ostrov (Arctic tundra = subzone B). Data are reported from 10 study sites - 2 at Nadym, 2 at Laborovaya, and 3 at Vaskiny Dachi and 3 at Kharasavey. The sites are representative of the zonal soils and vegetation, but also include variation related to substrate (clayey vs. sandy soils). Most of the information was collected along 5 transects at each sample site, 5 permanent vegetation study plots, and 1-2 soil pits at each site. The expedition also established soil and permafrost monitoring sites at each location. This data report includes: (1) background for the project, (2) general descriptions and photographs of each locality and sample site, (3) maps of the sites, study plots, and transects at each location, (4) summary of sampling methods used, (5) tabular summaries of the vegetation data (species lists, estimates of cover abundance for each species within vegetation plots, measured percent ground cover of species along transects, site factors for each study plot), (6) summaries of the Normalized Difference Vegetation Index (NDVI) and leaf area index (LAI) along each transect, (7) soil descriptions and photos of the soil pits at each study site, (8) summaries of thaw measurements along each transect, and (9) contact information for each of the participants. One of the primary objectives was to provide the Russian partners with full documentation of the methods so that Russian observers in future years could repeat the observations independently.
    Keywords: International Polar Year (2007-2008); IPY
    Type: Dataset
    Format: application/zip, 8 datasets
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  • 4
    Publication Date: 2001-04-09
    Description: The Drosophila melanogaster gene insulin-like receptor (InR) is homologous to mammalian insulin receptors as well as to Caenorhabditis elegans daf-2, a signal transducer regulating worm dauer formation and adult longevity. We describe a heteroallelic, hypomorphic genotype of mutant InR, which yields dwarf females with up to an 85% extension of adult longevity and dwarf males with reduced late age-specific mortality. Treatment of the long-lived InR dwarfs with a juvenile hormone analog restores life expectancy toward that of wild-type controls. We conclude that juvenile hormone deficiency, which results from InR signal pathway mutation, is sufficient to extend life-span, and that in flies, insulin-like ligands nonautonomously mediate aging through retardation of growth or activation of specific endocrine tissue.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Tatar, M -- Kopelman, A -- Epstein, D -- Tu, M P -- Yin, C M -- Garofalo, R S -- R01 AG16632/AG/NIA NIH HHS/ -- New York, N.Y. -- Science. 2001 Apr 6;292(5514):107-10.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Brown University, Providence, RI 02912, USA., University of Massachusetts, Amherst, MA 01003, USA. Marc_Tatar@Brown.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/11292875" target="_blank"〉PubMed〈/a〉
    Keywords: Aging/*physiology ; Alleles ; Animals ; Carrier Proteins/*genetics/*physiology ; Corpora Allata/*metabolism ; *Drosophila Proteins ; Drosophila melanogaster/genetics/*physiology ; Female ; Fertility ; Genes, Insect ; Genotype ; Insulin/pharmacology ; Juvenile Hormones/metabolism ; Longevity/*physiology ; Male ; Methoprene/pharmacology ; Mutation ; Protein-Tyrosine Kinases/*genetics/*physiology ; *Receptor Protein-Tyrosine Kinases ; Receptor, Insulin/genetics/physiology ; Reproduction ; Signal Transduction ; Superoxide Dismutase/metabolism ; Triglycerides/metabolism ; Vitellogenesis/drug effects
    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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  • 5
    Publication Date: 2008-06-24
    Description: The transcription factor IRF4 (interferon regulatory factor 4) is required during an immune response for lymphocyte activation and the generation of immunoglobulin-secreting plasma cells. Multiple myeloma, a malignancy of plasma cells, has a complex molecular aetiology with several subgroups defined by gene expression profiling and recurrent chromosomal translocations. Moreover, the malignant clone can sustain multiple oncogenic lesions, accumulating genetic damage as the disease progresses. Current therapies for myeloma can extend survival but are not curative. Hence, new therapeutic strategies are needed that target molecular pathways shared by all subtypes of myeloma. Here we show, using a loss-of-function, RNA-interference-based genetic screen, that IRF4 inhibition is toxic to myeloma cell lines, regardless of transforming oncogenic mechanism. Gene expression profiling and genome-wide chromatin immunoprecipitation analysis uncovered an extensive network of IRF4 target genes and identified MYC as a direct target of IRF4 in activated B cells and myeloma. Unexpectedly, IRF4 was itself a direct target of MYC transactivation, generating an autoregulatory circuit in myeloma cells. Although IRF4 is not genetically altered in most myelomas, they are nonetheless addicted to an aberrant IRF4 regulatory network that fuses the gene expression programmes of normal plasma cells and activated B cells.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2542904/" 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/PMC2542904/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Shaffer, Arthur L -- Emre, N C Tolga -- Lamy, Laurence -- Ngo, Vu N -- Wright, George -- Xiao, Wenming -- Powell, John -- Dave, Sandeep -- Yu, Xin -- Zhao, Hong -- Zeng, Yuxin -- Chen, Bangzheng -- Epstein, Joshua -- Staudt, Louis M -- CA113992/CA/NCI NIH HHS/ -- CA97513/CA/NCI NIH HHS/ -- R01 CA113992/CA/NCI NIH HHS/ -- R01 CA113992-02/CA/NCI NIH HHS/ -- R33 CA097513-03/CA/NCI NIH HHS/ -- Z99 CA999999/Intramural NIH HHS/ -- England -- Nature. 2008 Jul 10;454(7201):226-31. doi: 10.1038/nature07064. Epub 2008 Jun 22.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Metabolism Branch, Center for Cancer Research, National Cancer 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/18568025" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; B-Lymphocytes/metabolism/pathology ; Cell Survival ; Cell Transformation, Neoplastic/genetics ; Cells, Cultured ; Chromatin Immunoprecipitation ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Genes, myc/genetics ; Humans ; Interferon Regulatory Factors/deficiency/genetics/*metabolism ; Mice ; Multiple Myeloma/genetics/*metabolism/*pathology ; Proto-Oncogene Proteins c-myc/metabolism ; RNA Interference ; Transcriptional Activation
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 6
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    Nature Publishing Group (NPG)
    Publication Date: 2009-08-08
    Description: Agent-based computational models can capture irrational behaviour, complex social networks and global scale--all essential in confronting H1N1, says Joshua M. Epstein.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3785367/" 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/PMC3785367/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Epstein, Joshua M -- DP1 OD003874/OD/NIH HHS/ -- U54 GM088491/GM/NIGMS NIH HHS/ -- England -- Nature. 2009 Aug 6;460(7256):687. doi: 10.1038/460687a.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center on Social and Economic Dynamics at the Brookings Institution, 1775 Massachusetts Avenue, Washington DC 20036, USA. jepstein@brookings.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19661897" target="_blank"〉PubMed〈/a〉
    Keywords: Absenteeism ; *Computer Simulation ; Disease Outbreaks/*prevention & control/statistics & numerical data ; Disease Progression ; Fear ; Humans ; *Influenza A Virus, H1N1 Subtype ; Influenza Vaccines/administration & dosage ; Influenza, Human/*epidemiology/*prevention & control/psychology/transmission ; *Models, Biological
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 7
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    Unknown
    Nature Publishing Group (NPG)
    Publication Date: 2009-02-27
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Epstein, Slava S -- England -- Nature. 2009 Feb 26;457(7233):1083. doi: 10.1038/4571083a.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biology, Northeastern University, Boston, Massachusetts 02115, USA. s.epstein@neu.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19242455" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Anti-Bacterial Agents/pharmacology ; Drug Resistance, Microbial/physiology ; *Microbial Viability/drug effects ; *Microbiology ; *Models, Biological ; Stochastic Processes ; Tuberculosis/microbiology
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 8
    Publication Date: 2014-12-10
    Description: Myocardial infarction (MI), a leading cause of death around the world, displays a complex pattern of inheritance. When MI occurs early in life, genetic inheritance is a major component to risk. Previously, rare mutations in low-density lipoprotein (LDL) genes have been shown to contribute to MI risk in individual families, whereas common variants at more than 45 loci have been associated with MI risk in the population. Here we evaluate how rare mutations contribute to early-onset MI risk in the population. We sequenced the protein-coding regions of 9,793 genomes from patients with MI at an early age (〈/=50 years in males and 〈/=60 years in females) along with MI-free controls. We identified two genes in which rare coding-sequence mutations were more frequent in MI cases versus controls at exome-wide significance. At low-density lipoprotein receptor (LDLR), carriers of rare non-synonymous mutations were at 4.2-fold increased risk for MI; carriers of null alleles at LDLR were at even higher risk (13-fold difference). Approximately 2% of early MI cases harbour a rare, damaging mutation in LDLR; this estimate is similar to one made more than 40 years ago using an analysis of total cholesterol. Among controls, about 1 in 217 carried an LDLR coding-sequence mutation and had plasma LDL cholesterol 〉 190 mg dl(-1). At apolipoprotein A-V (APOA5), carriers of rare non-synonymous mutations were at 2.2-fold increased risk for MI. When compared with non-carriers, LDLR mutation carriers had higher plasma LDL cholesterol, whereas APOA5 mutation carriers had higher plasma triglycerides. Recent evidence has connected MI risk with coding-sequence mutations at two genes functionally related to APOA5, namely lipoprotein lipase and apolipoprotein C-III (refs 18, 19). Combined, these observations suggest that, as well as LDL cholesterol, disordered metabolism of triglyceride-rich lipoproteins contributes to MI risk.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4319990/" 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/PMC4319990/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Do, Ron -- Stitziel, Nathan O -- Won, Hong-Hee -- Jorgensen, Anders Berg -- Duga, Stefano -- Angelica Merlini, Pier -- Kiezun, Adam -- Farrall, Martin -- Goel, Anuj -- Zuk, Or -- Guella, Illaria -- Asselta, Rosanna -- Lange, Leslie A -- Peloso, Gina M -- Auer, Paul L -- NHLBI Exome Sequencing Project -- Girelli, Domenico -- Martinelli, Nicola -- Farlow, Deborah N -- DePristo, Mark A -- Roberts, Robert -- Stewart, Alexander F R -- Saleheen, Danish -- Danesh, John -- Epstein, Stephen E -- Sivapalaratnam, Suthesh -- Hovingh, G Kees -- Kastelein, John J -- Samani, Nilesh J -- Schunkert, Heribert -- Erdmann, Jeanette -- Shah, Svati H -- Kraus, William E -- Davies, Robert -- Nikpay, Majid -- Johansen, Christopher T -- Wang, Jian -- Hegele, Robert A -- Hechter, Eliana -- Marz, Winfried -- Kleber, Marcus E -- Huang, Jie -- Johnson, Andrew D -- Li, Mingyao -- Burke, Greg L -- Gross, Myron -- Liu, Yongmei -- Assimes, Themistocles L -- Heiss, Gerardo -- Lange, Ethan M -- Folsom, Aaron R -- Taylor, Herman A -- Olivieri, Oliviero -- Hamsten, Anders -- Clarke, Robert -- Reilly, Dermot F -- Yin, Wu -- Rivas, Manuel A -- Donnelly, Peter -- Rossouw, Jacques E -- Psaty, Bruce M -- Herrington, David M -- Wilson, James G -- Rich, Stephen S -- Bamshad, Michael J -- Tracy, Russell P -- Cupples, L Adrienne -- Rader, Daniel J -- Reilly, Muredach P -- Spertus, John A -- Cresci, Sharon -- Hartiala, Jaana -- Tang, W H Wilson -- Hazen, Stanley L -- Allayee, Hooman -- Reiner, Alex P -- Carlson, Christopher S -- Kooperberg, Charles -- Jackson, Rebecca D -- Boerwinkle, Eric -- Lander, Eric S -- Schwartz, Stephen M -- Siscovick, David S -- McPherson, Ruth -- Tybjaerg-Hansen, Anne -- Abecasis, Goncalo R -- Watkins, Hugh -- Nickerson, Deborah A -- Ardissino, Diego -- Sunyaev, Shamil R -- O'Donnell, Christopher J -- Altshuler, David -- Gabriel, Stacey -- Kathiresan, Sekar -- 090532/Wellcome Trust/United Kingdom -- 095552/Wellcome Trust/United Kingdom -- 5U54HG003067-11/HG/NHGRI NIH HHS/ -- G-0907/Parkinson's UK/United Kingdom -- K08 HL114642/HL/NHLBI NIH HHS/ -- K08HL114642/HL/NHLBI NIH HHS/ -- P01 HL076491/HL/NHLBI NIH HHS/ -- P01 HL098055/HL/NHLBI NIH HHS/ -- R01 HL107816/HL/NHLBI NIH HHS/ -- R01HL107816/HL/NHLBI NIH HHS/ -- RC2 HL-102923/HL/NHLBI NIH HHS/ -- RC2 HL-102924/HL/NHLBI NIH HHS/ -- RC2 HL-102925/HL/NHLBI NIH HHS/ -- RC2 HL-102926/HL/NHLBI NIH HHS/ -- RC2 HL-103010/HL/NHLBI NIH HHS/ -- T32 HL007208/HL/NHLBI NIH HHS/ -- T32HL00720/HL/NHLBI NIH HHS/ -- T32HL007604/HL/NHLBI NIH HHS/ -- UL1 TR000439/TR/NCATS NIH HHS/ -- Canadian Institutes of Health Research/Canada -- England -- Nature. 2015 Feb 5;518(7537):102-6. doi: 10.1038/nature13917. Epub 2014 Dec 10.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA. [2] Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts 02114, USA. [3] Department of Medicine, Harvard Medical School, Boston, Massachusetts 02114, USA. [4] Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA. ; 1] Cardiovascular Division, Department of Medicine, Washington University School of Medicine, St Louis, Missouri 63110, USA. [2] Division of Statistical Genomics, Washington University School of Medicine, St Louis, Missouri 63110, USA. ; Department of Clinical Biochemistry KB3011, Section for Molecular Genetics, Rigshospitalet, Copenhagen University Hospitals and Faculty of Health Sciences, University of Copenhagen, Copenhagen 1165, Denmark. ; Dipartimento di Biotecnologie Mediche e Medicina Traslazionale, Universita degli Studi di Milano, Milano 20122, Italy. ; Division of Cardiology, Ospedale Niguarda, Milano 20162, Italy. ; Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA. ; Department of Cardiovascular Medicine, The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX1 2J, UK. ; Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA. ; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA. ; University of Verona School of Medicine, Department of Medicine, Verona 37129, Italy. ; John &Jennifer Ruddy Canadian Cardiovascular Genetics Centre, University of Ottawa Heart Institute, Ottawa, Ontario K1Y 4W7, Canada. ; Department of Public Health and Primary Care, University of Cambridge, Cambridge CB2 1TN, UK. ; MedStar Health Research Institute, Cardiovascular Research Institute, Hyattsville, Maryland 20782, USA. ; Department of Vascular Medicine, Academic Medical Center, Amsterdam 1105 AZ, The Netherlands. ; Department of Cardiovascular Sciences, University of Leicester, and Leicester NIHR Biomedical Research Unit in Cardiovascular Disease, Glenfield Hospital, Leicester LE3 9QP, UK. ; DZHK (German Research Centre for Cardiovascular Research), Munich Heart Alliance, Deutsches Herzzentrum Munchen, Technische Universitat Munchen, Berlin 13347, Germany. ; Medizinische Klinik II, University of Lubeck, Lubeck 23562, Germany. ; 1] Center for Human Genetics, Duke University, Durham, North Carolina 27708, USA. [2] Department of Cardiology and Center for Genomic Medicine, Duke University School of Medicine, Durham, North Carolina 27708, USA. ; Department of Cardiology and Center for Genomic Medicine, Duke University School of Medicine, Durham, North Carolina 27708, USA. ; Division of Cardiology, University of Ottawa Heart Institute, Ottawa, Ontario K1Y 4W7, Canada. ; Department of Biochemistry, Schulich School of Medicine and Dentistry, Robarts Research Institute, University of Western Ontario, London, Ontario N6A 3K7, Canada. ; 1] Department of Biochemistry, Schulich School of Medicine and Dentistry, Robarts Research Institute, University of Western Ontario, London, Ontario N6A 3K7, Canada. [2] Department of Medicine, Schulich School of Medicine and Dentistry, Robarts Research Institute, University of Western Ontario, London, Ontario N6A 3K7, Canada. ; 1] Medical Faculty Mannheim, Mannheim Institute of Public Health, Social and Preventive Medicine, Heidelberg University, Ludolf Krehl Strasse 7-11, Mannheim D-68167, Germany. [2] Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz 8036, Austria. [3] Synlab Academy, Mannheim 68259, Germany. ; Medical Faculty Mannheim, Mannheim Institute of Public Health, Social and Preventive Medicine, Heidelberg University, Ludolf Krehl Strasse 7-11, Mannheim D-68167, Germany. ; The National Heart, Lung, Blood Institute's Framingham Heart Study, Framingham, Massachusetts 01702, USA. ; National Heart, Lung, and Blood Institute Center for Population Studies, The Framingham Heart Study, Framingham, Massachusetts 01702, USA. ; Department of Biostatistics and Epidemiology, School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. ; Department of Epidemiology, University of Alabama-Birmingham, Birmingham, Alabama 35233, USA. ; Department of Laboratory Medicine and Pathology, School of Medicine, University of Minnesota, Minneapolis, Minnesota 55455, USA. ; School of Medicine, Wake Forest University, Winston-Salem, North Carolina 27106, USA. ; Department of Medicine, Stanford University School of Medicine, Stanford, California 94305, USA. ; Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina 27599, USA. ; 1] Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA. [2] Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina 27599, USA. ; Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota 55455, USA. ; University of Mississippi Medical Center, Jackson, Mississippi 39216, USA. ; Atherosclerosis Research Unit, Department of Medicine, and Center for Molecular Medicine, Karolinska Institutet, Stockholm 171 77, Sweden. ; Clinical Trial Service Unit and Epidemiological Studies Unit, University of Oxford, Oxford OX1 2JD, UK. ; Merck Sharp &Dohme Corporation, Rahway, New Jersey 08889, USA. ; The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX1 2JD, UK. ; 1] The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX1 2JD, UK. [2] Department of Statistics, University of Oxford, Oxford OX1 2JD, UK. ; National Heart, Lung, and Blood Institute, Bethesda, Maryland 20824, USA. ; 1] Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, Washington 98195, USA. [2] Group Health Research Institute, Group Health Cooperative, Seattle, Washington 98101, USA. ; Section on Cardiology, and Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina 27106, USA. ; Jackson Heart Study, University of Mississippi Medical Center, Jackson State University, Jackson, Mississippi 39217, USA. ; Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia 22904, USA. ; 1] Division of Genetic Medicine, Department of Pediatrics, University of Washington, Seattle, Washington 98195, USA. [2] Seattle Children's Hospital, Seattle, Washington 98105, USA. [3] Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA. ; Department of Biochemistry, University of Vermont, Burlington, Vermont 05405, USA. ; Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA. ; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. ; Cardiovascular Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. ; St Luke's Mid America Heart Institute, University of Missouri-Kansas City, Kansas City, Missouri 64111, USA. ; 1] Cardiovascular Division, Department of Medicine, Washington University School of Medicine, St Louis, Missouri 63110, USA. [2] Department of Genetics, Washington University in St Louis, Missouri 63130, USA. ; Department of Preventive Medicine and Institute for Genetic Medicine, University of Southern California Keck School of Medicine, Los Angeles, California 90033, USA. ; Cardiovascular Medicine, Cleveland Clinic, Cleveland, Ohio 44195, USA. ; 1] Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA. [2] Department of Epidemiology, University of Washington, Seattle, Washington 98195, USA. ; Ohio State University, Columbus, Ohio 43210, USA. ; Human Genetics Center, The University of Texas Health Science Center at Houston, Houston, Texas 77030, USA. ; 1] Department of Epidemiology, University of Washington, Seattle, Washington 98195, USA. [2] Department of Medicine, School of Medicine, University of Washington, Seattle, Washington 98195, USA. ; 1] Department of Clinical Biochemistry KB3011, Section for Molecular Genetics, Rigshospitalet, Copenhagen University Hospitals and Faculty of Health Sciences, University of Copenhagen, Copenhagen 1165, Denmark. [2] Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Kobenhavn N, Denmark. ; Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Missouri 48109, USA. ; 1] Department of Cardiovascular Medicine, The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX1 2J, UK. [2] The Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX1 2JD, UK. ; Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA. ; Department of Cardiology, Parma Hospital, Parma 43100, Italy. ; 1] Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA. [2] Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA. ; 1] Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA. [2] Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25487149" target="_blank"〉PubMed〈/a〉
    Keywords: Age Factors ; Age of Onset ; *Alleles ; Apolipoproteins A/*genetics ; Case-Control Studies ; Cholesterol, LDL/blood ; Coronary Artery Disease/genetics ; Exome/*genetics ; Female ; Genetic Predisposition to Disease/*genetics ; Genetics, Population ; Heterozygote ; Humans ; Male ; Middle Aged ; Mutation/genetics ; Myocardial Infarction/blood/*genetics ; National Heart, Lung, and Blood Institute (U.S.) ; Receptors, LDL/*genetics ; Triglycerides/blood ; United States
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 9
    Publication Date: 2014-12-24
    Description: Models derived from human pluripotent stem cells that accurately recapitulate neural development in vitro and allow for the generation of specific neuronal subtypes are of major interest to the stem cell and biomedical community. Notch signalling, particularly through the Notch effector HES5, is a major pathway critical for the onset and maintenance of neural progenitor cells in the embryonic and adult nervous system. Here we report the transcriptional and epigenomic analysis of six consecutive neural progenitor cell stages derived from a HES5::eGFP reporter human embryonic stem cell line. Using this system, we aimed to model cell-fate decisions including specification, expansion and patterning during the ontogeny of cortical neural stem and progenitor cells. In order to dissect regulatory mechanisms that orchestrate the stage-specific differentiation process, we developed a computational framework to infer key regulators of each cell-state transition based on the progressive remodelling of the epigenetic landscape and then validated these through a pooled short hairpin RNA screen. We were also able to refine our previous observations on epigenetic priming at transcription factor binding sites and suggest here that they are mediated by combinations of core and stage-specific factors. Taken together, we demonstrate the utility of our system and outline a general framework, not limited to the context of the neural lineage, to dissect regulatory circuits of differentiation.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4336237/" 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/PMC4336237/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ziller, Michael J -- Edri, Reuven -- Yaffe, Yakey -- Donaghey, Julie -- Pop, Ramona -- Mallard, William -- Issner, Robbyn -- Gifford, Casey A -- Goren, Alon -- Xing, Jeffrey -- Gu, Hongcang -- Cacchiarelli, Davide -- Tsankov, Alexander M -- Epstein, Charles -- Rinn, John L -- Mikkelsen, Tarjei S -- Kohlbacher, Oliver -- Gnirke, Andreas -- Bernstein, Bradley E -- Elkabetz, Yechiel -- Meissner, Alexander -- F32 DK095537/DK/NIDDK NIH HHS/ -- HG006911/HG/NHGRI NIH HHS/ -- P01 GM099117/GM/NIGMS NIH HHS/ -- P01GM099117/GM/NIGMS NIH HHS/ -- U01 ES017155/ES/NIEHS NIH HHS/ -- U01ES017155/ES/NIEHS NIH HHS/ -- U54 HG006991/HG/NHGRI NIH HHS/ -- England -- Nature. 2015 Feb 19;518(7539):355-9. doi: 10.1038/nature13990. Epub 2014 Dec 24.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Harvard Stem Cell Institute, Cambridge, Massachusetts 02138, USA [3] Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts 02138, USA. ; Department of Cell and Developmental Biology, Sackler School of Medicine, Tel Aviv University, Ramat Aviv 6997801, Israel. ; 1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts 02138, USA. ; Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA. ; 1] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA [2] Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA [3] Center for Systems Biology and Center for Cancer Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA. ; Applied Bioinformatics, Center for Bioinformatics and Quantitative Biology Center, University of Tubingen, Tubingen 72076, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25533951" target="_blank"〉PubMed〈/a〉
    Keywords: Binding Sites ; Cell Differentiation/*genetics ; Cell Lineage/genetics ; Embryonic Stem Cells/*cytology/metabolism ; Epigenesis, Genetic/*genetics ; Epigenomics/*methods ; Humans ; Neural Stem Cells/*cytology/*metabolism ; RNA, Small Interfering/analysis/genetics ; Reproducibility of Results ; Transcription Factors/metabolism ; Transcription, Genetic/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 10
    Publication Date: 2009-04-18
    Description: Oxygen deprivation is rapidly deleterious for most organisms. However, Caenorhabditis elegans has developed the ability to survive anoxia for at least 48 hours. Mutations in the DAF-2/DAF-16 insulin-like signaling pathway promote such survival. We describe a pathway involving the HYL-2 ceramide synthase that acts independently of DAF-2. Loss of the ceramide synthase gene hyl-2 results in increased sensitivity of C. elegans to anoxia. C. elegans has two ceramide synthases, hyl-1 and hyl-2, that participate in ceramide biogenesis and affect its ability to survive anoxic conditions. In contrast to hyl-2(lf) mutants, hyl-1(lf) mutants are more resistant to anoxia than normal animals. HYL-1 and HYL-2 have complementary specificities for fatty acyl chains. These data indicate that specific ceramides produced by HYL-2 confer resistance to anoxia.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Menuz, Vincent -- Howell, Kate S -- Gentina, Sebastien -- Epstein, Sharon -- Riezman, Isabelle -- Fornallaz-Mulhauser, Monique -- Hengartner, Michael O -- Gomez, Marie -- Riezman, Howard -- Martinou, Jean-Claude -- New York, N.Y. -- Science. 2009 Apr 17;324(5925):381-4. doi: 10.1126/science.1168532.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Cell Biology, University of Geneva, CH-1211 Geneva 4, Switzerland.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19372430" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Apoptosis ; Caenorhabditis elegans/cytology/genetics/*physiology ; Caenorhabditis elegans Proteins/*genetics/*metabolism ; *Cell Hypoxia ; Ceramides/biosynthesis/*physiology ; Gene Deletion ; Genes, Helminth ; Mutation ; Oxidoreductases/*genetics/*metabolism ; Oxygen/*physiology ; Receptor, Insulin/genetics/metabolism ; Saccharomyces cerevisiae/genetics/growth & development/physiology ; Sphingomyelins/biosynthesis/physiology ; Substrate Specificity ; Transformation, Genetic ; Transgenes
    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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