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  • Polymorphism, Single Nucleotide/genetics  (4)
  • Astronomy  (3)
  • Man/System Technology and Life Support  (3)
  • 2010-2014  (10)
  • 1
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    Post-traumatic stress disorder is associated with PACAP and the PAC1 receptor (2011)
    Nature Publishing Group (NPG)
    Details
    Publication Date: 2011-02-26
    Description: Pituitary adenylate cyclase-activating polypeptide (PACAP) is known to broadly regulate the cellular stress response. In contrast, it is unclear if the PACAP-PAC1 receptor pathway has a role in human psychological stress responses, such as post-traumatic stress disorder (PTSD). Here we find, in heavily traumatized subjects, a sex-specific association of PACAP blood levels with fear physiology, PTSD diagnosis and symptoms in females. We examined 44 single nucleotide polymorphisms (SNPs) spanning the PACAP (encoded by ADCYAP1) and PAC1 (encoded by ADCYAP1R1) genes, demonstrating a sex-specific association with PTSD. A single SNP in a putative oestrogen response element within ADCYAP1R1, rs2267735, predicts PTSD diagnosis and symptoms in females only. This SNP also associates with fear discrimination and with ADCYAP1R1 messenger RNA expression in human brain. Methylation of ADCYAP1R1 in peripheral blood is also associated with PTSD. Complementing these human data, ADCYAP1R1 mRNA is induced with fear conditioning or oestrogen replacement in rodent models. These data suggest that perturbations in the PACAP-PAC1 pathway are involved in abnormal stress responses underlying PTSD. These sex-specific effects may occur via oestrogen regulation of ADCYAP1R1. PACAP levels and ADCYAP1R1 SNPs may serve as useful biomarkers to further our mechanistic understanding of PTSD.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3046811/" 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/PMC3046811/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ressler, Kerry J -- Mercer, Kristina B -- Bradley, Bekh -- Jovanovic, Tanja -- Mahan, Amy -- Kerley, Kimberly -- Norrholm, Seth D -- Kilaru, Varun -- Smith, Alicia K -- Myers, Amanda J -- Ramirez, Manuel -- Engel, Anzhelika -- Hammack, Sayamwong E -- Toufexis, Donna -- Braas, Karen M -- Binder, Elisabeth B -- May, Victor -- AG034504/AG/NIA NIH HHS/ -- DA019624/DA/NIDA NIH HHS/ -- HD27468/HD/NICHD NIH HHS/ -- M01RR00039/RR/NCRR NIH HHS/ -- MH071537/MH/NIMH NIH HHS/ -- P20RR16435/RR/NCRR NIH HHS/ -- R01 AG034504/AG/NIA NIH HHS/ -- R01 HD027468/HD/NICHD NIH HHS/ -- R01 HD027468-13/HD/NICHD NIH HHS/ -- UL1 TR000454/TR/NCATS NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2011 Feb 24;470(7335):492-7. doi: 10.1038/nature09856.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Howard Hughes Medical Institute, Chevy Chase, Maryland 20815, USA. kressle@emory.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21350482" target="_blank"〉PubMed〈/a〉
    Keywords: Amygdala/metabolism ; Animals ; Conditioning, Classical/physiology ; CpG Islands/genetics ; DNA Methylation ; Estrogens/metabolism/pharmacology ; Fear/physiology ; Female ; Gene Expression Regulation/drug effects ; Genetic Association Studies ; Genetic Predisposition to Disease/*genetics ; Humans ; Male ; Mice ; Pituitary Adenylate Cyclase-Activating Polypeptide/*blood/chemistry ; Polymorphism, Single Nucleotide/genetics ; RNA, Messenger/analysis/biosynthesis/genetics ; Rats ; Receptors, Pituitary Adenylate Cyclase-Activating Polypeptide, Type I/*genetics ; Response Elements/genetics ; Septal Nuclei/drug effects/metabolism ; Sex Characteristics ; Stress Disorders, Post-Traumatic/*blood/*genetics/physiopathology/psychology
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
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    Derived immune and ancestral pigmentation alleles in a 7,000-year-old Mesolithic European (2014)
    Nature Publishing Group (NPG)
    Details
    Publication Date: 2014-01-28
    Description: Ancient genomic sequences have started to reveal the origin and the demographic impact of farmers from the Neolithic period spreading into Europe. The adoption of farming, stock breeding and sedentary societies during the Neolithic may have resulted in adaptive changes in genes associated with immunity and diet. However, the limited data available from earlier hunter-gatherers preclude an understanding of the selective processes associated with this crucial transition to agriculture in recent human evolution. Here we sequence an approximately 7,000-year-old Mesolithic skeleton discovered at the La Brana-Arintero site in Leon, Spain, to retrieve a complete pre-agricultural European human genome. Analysis of this genome in the context of other ancient samples suggests the existence of a common ancient genomic signature across western and central Eurasia from the Upper Paleolithic to the Mesolithic. The La Brana individual carries ancestral alleles in several skin pigmentation genes, suggesting that the light skin of modern Europeans was not yet ubiquitous in Mesolithic times. Moreover, we provide evidence that a significant number of derived, putatively adaptive variants associated with pathogen resistance in modern Europeans were already present in this hunter-gatherer.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4269527/" 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/PMC4269527/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Olalde, Inigo -- Allentoft, Morten E -- Sanchez-Quinto, Federico -- Santpere, Gabriel -- Chiang, Charleston W K -- DeGiorgio, Michael -- Prado-Martinez, Javier -- Rodriguez, Juan Antonio -- Rasmussen, Simon -- Quilez, Javier -- Ramirez, Oscar -- Marigorta, Urko M -- Fernandez-Callejo, Marcos -- Prada, Maria Encina -- Encinas, Julio Manuel Vidal -- Nielsen, Rasmus -- Netea, Mihai G -- Novembre, John -- Sturm, Richard A -- Sabeti, Pardis -- Marques-Bonet, Tomas -- Navarro, Arcadi -- Willerslev, Eske -- Lalueza-Fox, Carles -- F32 GM106656/GM/NIGMS NIH HHS/ -- F32GM106656/GM/NIGMS NIH HHS/ -- R01 HG007089/HG/NHGRI NIH HHS/ -- R01-HG007089/HG/NHGRI NIH HHS/ -- England -- Nature. 2014 Mar 13;507(7491):225-8. doi: 10.1038/nature12960. Epub 2014 Jan 26.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Institut de Biologia Evolutiva, CSIC-UPF, Barcelona 08003, Spain [2]. ; 1] Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, DK-1350 Copenhagen K, Denmark [2]. ; Institut de Biologia Evolutiva, CSIC-UPF, Barcelona 08003, Spain. ; Department of Ecology and Evolutionary Biology, University of California, Los Angeles, California 90095, USA. ; 1] Department of Integrative Biology, University of California, Berkeley, California 94720, USA [2] Department of Biology, Pennsylvania State University, 502 Wartik Laboratory, University Park, Pennsylvania 16802, USA. ; Center for Biological Sequence Analysis, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark. ; I.E.S.O. 'Los Salados', Junta de Castilla y Leon, E-49600 Benavente, Spain. ; Junta de Castilla y Leon, Servicio de Cultura de Leon, E-24071 Leon, Spain. ; Center for Theoretical Evolutionary Genomics, University of California, Berkeley, California 94720, USA. ; Department of Medicine and Nijmegen Institute for Infection, Inflammation and Immunity, Radboud University Nijmegen Medical Centre, 6500 Nijmegen, The Netherlands. ; Department of Human Genetics, University of Chicago, Illinois 60637, USA. ; Institute for Molecular Bioscience, Melanogenix Group, The University of Queensland, Brisbane, Queensland 4072, Australia. ; 1] Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts 02138, USA [2] Broad Institute of the Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts 02142, USA. ; 1] Institut de Biologia Evolutiva, CSIC-UPF, Barcelona 08003, Spain [2] Institucio Catalana de Recerca i Estudis Avancats (ICREA), 08010 Barcelona, Catalonia, Spain. ; 1] Institut de Biologia Evolutiva, CSIC-UPF, Barcelona 08003, Spain [2] Institucio Catalana de Recerca i Estudis Avancats (ICREA), 08010 Barcelona, Catalonia, Spain [3] Centre de Regulacio Genomica (CRG), Barcelona 08003, Catalonia, Spain [4] National Institute for Bioinformatics (INB), Barcelona 08003, Catalonia, Spain. ; Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, DK-1350 Copenhagen K, Denmark.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24463515" target="_blank"〉PubMed〈/a〉
    Keywords: Agriculture/history ; *Alleles ; Biological Evolution ; Caves ; European Continental Ancestry Group/*genetics ; Eye Color/genetics ; *Fossils ; Genome, Human/genetics ; Genomics ; History, Ancient ; Humans ; Immunity/*genetics ; Lactose Intolerance/genetics ; Male ; Pigmentation/*genetics ; Polymorphism, Single Nucleotide/genetics ; Principal Component Analysis ; Skeleton ; Skin Pigmentation/genetics ; Spain/ethnology
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
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    Architecture of the human regulatory network derived from ENCODE data (2012)
    Nature Publishing Group (NPG)
    Details
    Publication Date: 2012-09-08
    Description: Transcription factors bind in a combinatorial fashion to specify the on-and-off states of genes; the ensemble of these binding events forms a regulatory network, constituting the wiring diagram for a cell. To examine the principles of the human transcriptional regulatory network, we determined the genomic binding information of 119 transcription-related factors in over 450 distinct experiments. We found the combinatorial, co-association of transcription factors to be highly context specific: distinct combinations of factors bind at specific genomic locations. In particular, there are significant differences in the binding proximal and distal to genes. We organized all the transcription factor binding into a hierarchy and integrated it with other genomic information (for example, microRNA regulation), forming a dense meta-network. Factors at different levels have different properties; for instance, top-level transcription factors more strongly influence expression and middle-level ones co-regulate targets to mitigate information-flow bottlenecks. Moreover, these co-regulations give rise to many enriched network motifs (for example, noise-buffering feed-forward loops). Finally, more connected network components are under stronger selection and exhibit a greater degree of allele-specific activity (that is, differential binding to the two parental alleles). The regulatory information obtained in this study will be crucial for interpreting personal genome sequences and understanding basic principles of human biology and disease.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4154057/" 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/PMC4154057/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gerstein, Mark B -- Kundaje, Anshul -- Hariharan, Manoj -- Landt, Stephen G -- Yan, Koon-Kiu -- Cheng, Chao -- Mu, Xinmeng Jasmine -- Khurana, Ekta -- Rozowsky, Joel -- Alexander, Roger -- Min, Renqiang -- Alves, Pedro -- Abyzov, Alexej -- Addleman, Nick -- Bhardwaj, Nitin -- Boyle, Alan P -- Cayting, Philip -- Charos, Alexandra -- Chen, David Z -- Cheng, Yong -- Clarke, Declan -- Eastman, Catharine -- Euskirchen, Ghia -- Frietze, Seth -- Fu, Yao -- Gertz, Jason -- Grubert, Fabian -- Harmanci, Arif -- Jain, Preti -- Kasowski, Maya -- Lacroute, Phil -- Leng, Jing -- Lian, Jin -- Monahan, Hannah -- O'Geen, Henriette -- Ouyang, Zhengqing -- Partridge, E Christopher -- Patacsil, Dorrelyn -- Pauli, Florencia -- Raha, Debasish -- Ramirez, Lucia -- Reddy, Timothy E -- Reed, Brian -- Shi, Minyi -- Slifer, Teri -- Wang, Jing -- Wu, Linfeng -- Yang, Xinqiong -- Yip, Kevin Y -- Zilberman-Schapira, Gili -- Batzoglou, Serafim -- Sidow, Arend -- Farnham, Peggy J -- Myers, Richard M -- Weissman, Sherman M -- Snyder, Michael -- T32 GM007205/GM/NIGMS NIH HHS/ -- T32GM008283-24/GM/NIGMS NIH HHS/ -- U01 HG004695/HG/NHGRI NIH HHS/ -- U54 HG004558/HG/NHGRI NIH HHS/ -- England -- Nature. 2012 Sep 6;489(7414):91-100. doi: 10.1038/nature11245.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut 06520, USA. mark.gerstein@yale.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22955619" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Cell Line ; DNA/*genetics ; *Encyclopedias as Topic ; GATA1 Transcription Factor/metabolism ; Gene Expression Profiling ; Gene Regulatory Networks/*genetics ; Genome, Human/*genetics ; Genomics ; Humans ; K562 Cells ; *Molecular Sequence Annotation ; Organ Specificity ; Phosphorylation/genetics ; Polymorphism, Single Nucleotide/genetics ; Protein Interaction Maps ; RNA, Untranslated/genetics/metabolism ; Regulatory Sequences, Nucleic Acid/*genetics ; Selection, Genetic/genetics ; Transcription Factors/*metabolism ; Transcription Initiation Site
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 4
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    Seventy-five genetic loci influencing the human red blood cell (2012)
    Nature Publishing Group (NPG)
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    Publication Date: 2012-12-12
    Description: Anaemia is a chief determinant of global ill health, contributing to cognitive impairment, growth retardation and impaired physical capacity. To understand further the genetic factors influencing red blood cells, we carried out a genome-wide association study of haemoglobin concentration and related parameters in up to 135,367 individuals. Here we identify 75 independent genetic loci associated with one or more red blood cell phenotypes at P 〈 10(-8), which together explain 4-9% of the phenotypic variance per trait. Using expression quantitative trait loci and bioinformatic strategies, we identify 121 candidate genes enriched in functions relevant to red blood cell biology. The candidate genes are expressed preferentially in red blood cell precursors, and 43 have haematopoietic phenotypes in Mus musculus or Drosophila melanogaster. Through open-chromatin and coding-variant analyses we identify potential causal genetic variants at 41 loci. Our findings provide extensive new insights into genetic mechanisms and biological pathways controlling red blood cell formation and function.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3623669/" 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/PMC3623669/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉van der Harst, Pim -- Zhang, Weihua -- Mateo Leach, Irene -- Rendon, Augusto -- Verweij, Niek -- Sehmi, Joban -- Paul, Dirk S -- Elling, Ulrich -- Allayee, Hooman -- Li, Xinzhong -- Radhakrishnan, Aparna -- Tan, Sian-Tsung -- Voss, Katrin -- Weichenberger, Christian X -- Albers, Cornelis A -- Al-Hussani, Abtehale -- Asselbergs, Folkert W -- Ciullo, Marina -- Danjou, Fabrice -- Dina, Christian -- Esko, Tonu -- Evans, David M -- Franke, Lude -- Gogele, Martin -- Hartiala, Jaana -- Hersch, Micha -- Holm, Hilma -- Hottenga, Jouke-Jan -- Kanoni, Stavroula -- Kleber, Marcus E -- Lagou, Vasiliki -- Langenberg, Claudia -- Lopez, Lorna M -- Lyytikainen, Leo-Pekka -- Melander, Olle -- Murgia, Federico -- Nolte, Ilja M -- O'Reilly, Paul F -- Padmanabhan, Sandosh -- Parsa, Afshin -- Pirastu, Nicola -- Porcu, Eleonora -- Portas, Laura -- Prokopenko, Inga -- Ried, Janina S -- Shin, So-Youn -- Tang, Clara S -- Teumer, Alexander -- Traglia, Michela -- Ulivi, Sheila -- Westra, Harm-Jan -- Yang, Jian -- Zhao, Jing Hua -- Anni, Franco -- Abdellaoui, Abdel -- Attwood, Antony -- Balkau, Beverley -- Bandinelli, Stefania -- Bastardot, Francois -- Benyamin, Beben -- Boehm, Bernhard O -- Cookson, William O -- Das, Debashish -- de Bakker, Paul I W -- de Boer, Rudolf A -- de Geus, Eco J C -- de Moor, Marleen H -- Dimitriou, Maria -- Domingues, Francisco S -- Doring, Angela -- Engstrom, Gunnar -- Eyjolfsson, Gudmundur Ingi -- Ferrucci, Luigi -- Fischer, Krista -- Galanello, Renzo -- Garner, Stephen F -- Genser, Bernd -- Gibson, Quince D -- Girotto, Giorgia -- Gudbjartsson, Daniel Fannar -- Harris, Sarah E -- Hartikainen, Anna-Liisa -- Hastie, Claire E -- Hedblad, Bo -- Illig, Thomas -- Jolley, Jennifer -- Kahonen, Mika -- Kema, Ido P -- Kemp, John P -- Liang, Liming -- Lloyd-Jones, Heather -- Loos, Ruth J F -- Meacham, Stuart -- Medland, Sarah E -- Meisinger, Christa -- Memari, Yasin -- Mihailov, Evelin -- Miller, Kathy -- Moffatt, Miriam F -- Nauck, Matthias -- Novatchkova, Maria -- Nutile, Teresa -- Olafsson, Isleifur -- Onundarson, Pall T -- Parracciani, Debora -- Penninx, Brenda W -- Perseu, Lucia -- Piga, Antonio -- Pistis, Giorgio -- Pouta, Anneli -- Puc, Ursula -- Raitakari, Olli -- Ring, Susan M -- Robino, Antonietta -- Ruggiero, Daniela -- Ruokonen, Aimo -- Saint-Pierre, Aude -- Sala, Cinzia -- Salumets, Andres -- Sambrook, Jennifer -- Schepers, Hein -- Schmidt, Carsten Oliver -- Sillje, Herman H W -- Sladek, Rob -- Smit, Johannes H -- Starr, John M -- Stephens, Jonathan -- Sulem, Patrick -- Tanaka, Toshiko -- Thorsteinsdottir, Unnur -- Tragante, Vinicius -- van Gilst, Wiek H -- van Pelt, L Joost -- van Veldhuisen, Dirk J -- Volker, Uwe -- Whitfield, John B -- Willemsen, Gonneke -- Winkelmann, Bernhard R -- Wirnsberger, Gerald -- Algra, Ale -- Cucca, Francesco -- d'Adamo, Adamo Pio -- Danesh, John -- Deary, Ian J -- Dominiczak, Anna F -- Elliott, Paul -- Fortina, Paolo -- Froguel, Philippe -- Gasparini, Paolo -- Greinacher, Andreas -- Hazen, Stanley L -- Jarvelin, Marjo-Riitta -- Khaw, Kay Tee -- Lehtimaki, Terho -- Maerz, Winfried -- Martin, Nicholas G -- Metspalu, Andres -- Mitchell, Braxton D -- Montgomery, Grant W -- Moore, Carmel -- Navis, Gerjan -- Pirastu, Mario -- Pramstaller, Peter P -- Ramirez-Solis, Ramiro -- Schadt, Eric -- Scott, James -- Shuldiner, Alan R -- Smith, George Davey -- Smith, J Gustav -- Snieder, Harold -- Sorice, Rossella -- Spector, Tim D -- Stefansson, Kari -- Stumvoll, Michael -- Tang, W H Wilson -- Toniolo, Daniela -- Tonjes, Anke -- Visscher, Peter M -- Vollenweider, Peter -- Wareham, Nicholas J -- Wolffenbuttel, Bruce H R -- Boomsma, Dorret I -- Beckmann, Jacques S -- Dedoussis, George V -- Deloukas, Panos -- Ferreira, Manuel A -- Sanna, Serena -- Uda, Manuela -- Hicks, Andrew A -- Penninger, Josef Martin -- Gieger, Christian -- Kooner, Jaspal S -- Ouwehand, Willem H -- Soranzo, Nicole -- Chambers, John C -- 092731/Wellcome Trust/United Kingdom -- 097117/Wellcome Trust/United Kingdom -- 14136/Cancer Research UK/United Kingdom -- CZB/4/505/Chief Scientist Office/United Kingdom -- ETM/55/Chief Scientist Office/United Kingdom -- G0600705/Medical Research Council/United Kingdom -- G0700704/Medical Research Council/United Kingdom -- G0801056/Medical Research Council/United Kingdom -- G1000143/Medical Research Council/United Kingdom -- G1002084/Medical Research Council/United Kingdom -- G9815508/Medical Research Council/United Kingdom -- HHSN268201100005C/HL/NHLBI NIH HHS/ -- HHSN268201100006C/HL/NHLBI NIH HHS/ -- HHSN268201100007C/HL/NHLBI NIH HHS/ -- HHSN268201100008C/HL/NHLBI NIH HHS/ -- HHSN268201100009C/HL/NHLBI NIH HHS/ -- HHSN268201100010C/HL/NHLBI NIH HHS/ -- HHSN268201100011C/HL/NHLBI NIH HHS/ -- HHSN268201100012C/HL/NHLBI NIH HHS/ -- HHSN271201100005C/DA/NIDA NIH HHS/ -- K12 RR023250/RR/NCRR NIH HHS/ -- MC_U106179471/Medical Research Council/United Kingdom -- MC_U106188470/Medical Research Council/United Kingdom -- N01AG12109/AG/NIA NIH HHS/ -- P01 HL076491/HL/NHLBI NIH HHS/ -- P01 HL098055/HL/NHLBI NIH HHS/ -- P20 HL113452/HL/NHLBI NIH HHS/ -- P30 DK072488/DK/NIDDK NIH HHS/ -- R01 AG018728/AG/NIA NIH HHS/ -- R01 CA165001/CA/NCI NIH HHS/ -- R01 GM053275/GM/NIGMS NIH HHS/ -- R01 HD042157/HD/NICHD NIH HHS/ -- R01 HL059367/HL/NHLBI NIH HHS/ -- R01 HL086694/HL/NHLBI NIH HHS/ -- R01 HL087641/HL/NHLBI NIH HHS/ -- R01 HL087679/HL/NHLBI NIH HHS/ -- R01 HL088119/HL/NHLBI NIH HHS/ -- R01 HL103866/HL/NHLBI NIH HHS/ -- R01 HL103931/HL/NHLBI NIH HHS/ -- R01 LM010098/LM/NLM NIH HHS/ -- R01 MH081802/MH/NIMH NIH HHS/ -- RG/09/012/28096/British Heart Foundation/United Kingdom -- RL1 MH083268/MH/NIMH NIH HHS/ -- U01 GM074518/GM/NIGMS NIH HHS/ -- U01 HG004402/HG/NHGRI NIH HHS/ -- U01 HL072515/HL/NHLBI NIH HHS/ -- U01 HL084756/HL/NHLBI NIH HHS/ -- U24 MH068457/MH/NIMH NIH HHS/ -- U54 RR020278/RR/NCRR NIH HHS/ -- UL1 RR025005/RR/NCRR NIH HHS/ -- UL1 TR000439/TR/NCATS NIH HHS/ -- England -- Nature. 2012 Dec 20;492(7429):369-75. doi: 10.1038/nature11677. Epub 2012 Dec 5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Cardiology, University of Groningen, University Medical Center Groningen, 9700 RB Groningen, The Netherlands. p.van.der.harst@umcg.nl〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23222517" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Cell Cycle/genetics ; Cytokines/metabolism ; Drosophila melanogaster/genetics ; Erythrocytes/cytology/*metabolism ; Female ; Gene Expression Regulation/genetics ; *Genetic Loci ; *Genome-Wide Association Study ; Hematopoiesis/genetics ; Hemoglobins/genetics ; Humans ; Male ; Mice ; Organ Specificity ; *Phenotype ; Polymorphism, Single Nucleotide/genetics ; RNA Interference ; Signal Transduction/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 5
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    Level of Automation and Failure Frequency Effects on Simulated Lunar Lander Performance (2014)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: A human-in-the-loop experiment was conducted at the NASA Ames Research Center Vertical Motion Simulator, where instrument-rated pilots completed a simulated terminal descent phase of a lunar landing. Ten pilots participated in a 2 x 2 mixed design experiment, with level of automation as the within-subjects factor and failure frequency as the between subjects factor. The two evaluated levels of automation were high (fully automated landing) and low (manual controlled landing). During test trials, participants were exposed to either a high number of failures (75% failure frequency) or low number of failures (25% failure frequency). In order to investigate the pilots' sensitivity to changes in levels of automation and failure frequency, the dependent measure selected for this experiment was accuracy of failure diagnosis, from which D Prime and Decision Criterion were derived. For each of the dependent measures, no significant difference was found for level of automation and no significant interaction was detected between level of automation and failure frequency. A significant effect was identified for failure frequency suggesting failure frequency has a significant effect on pilots' sensitivity to failure detection and diagnosis. Participants were more likely to correctly identify and diagnose failures if they experienced the higher levels of failures, regardless of level of automation
    Keywords: Man/System Technology and Life Support
    Type: ARC-E-DAA-TN12605 , IEEE Aerospace Conference; Mar 01, 2014 - Mar 08, 2014; Big Sky, MT; United States
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  • 6
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    On the X-Ray Low- and High-Velocity Outflows in Active Galactic Nuclei (2012)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: An exploration of the relationship between bolometric luminosity and outflow velocity for two classes of X-ray outflows in a large sample of active galactic nuclei has been performed. We find that line radiation pressure could be one physical mechanism that might accelerate the gas we observe in warm absorber, v approx. 100-1000 km/s, and on comparable but less stringent grounds the ultrafast outflows, v approx. 0.03-0.3c. If comparable with the escape velocity of the system, the first is naturally located at distances of the dusty torus, '" I pc, and the second at subparsec scales, approx.0.01 pc, in accordance with large set of observational evidence existing in the literature. The presentation of this relationship might give us key clues for our understanding of the different physical mechanisms acting in the centre of galaxies, the feedback process and its impact on the evolution of the host galaxy.
    Keywords: Astronomy
    Type: GSFC.JA.7093.2012 , Monthly Notices of the Royal Astronomical Society; 419; 1; L64-L68
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  • 7
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    Framework for Integrating Science Data Processing Algorithms Into Process Control Systems (2011)
    In:  CASI
    Details
    Publication Date: 2019-07-12
    Description: A software framework called PCS Task Wrapper is responsible for standardizing the setup, process initiation, execution, and file management tasks surrounding the execution of science data algorithms, which are referred to by NASA as Product Generation Executives (PGEs). PGEs codify a scientific algorithm, some step in the overall scientific process involved in a mission science workflow. The PCS Task Wrapper provides a stable operating environment to the underlying PGE during its execution lifecycle. If the PGE requires a file, or metadata regarding the file, the PCS Task Wrapper is responsible for delivering that information to the PGE in a manner that meets its requirements. If the PGE requires knowledge of upstream or downstream PGEs in a sequence of executions, that information is also made available. Finally, if information regarding disk space, or node information such as CPU availability, etc., is required, the PCS Task Wrapper provides this information to the underlying PGE. After this information is collected, the PGE is executed, and its output Product file and Metadata generation is managed via the PCS Task Wrapper framework. The innovation is responsible for marshalling output Products and Metadata back to a PCS File Management component for use in downstream data processing and pedigree. In support of this, the PCS Task Wrapper leverages the PCS Crawler Framework to ingest (during pipeline processing) the output Product files and Metadata produced by the PGE. The architectural components of the PCS Task Wrapper framework include PGE Task Instance, PGE Config File Builder, Config File Property Adder, Science PGE Config File Writer, and PCS Met file Writer. This innovative framework is really the unifying bridge between the execution of a step in the overall processing pipeline, and the available PCS component services as well as the information that they collectively manage.
    Keywords: Man/System Technology and Life Support
    Type: NPO-47160 , NASA Tech Briefs, December 2011; 25-26
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    Identifying the Location in the Host Galaxy of Short GRB 1111l7A with the Chandra Sub- Arcsecond Position (2012)
    In:  CASI
    Details
    Publication Date: 2019-07-12
    Description: We present our successful program using Chandra for identifying the X-ray afterglow with sub-arcsecond accuracy for the short GRB 111117A d iscovered by Swift and Fermi. Thanks to our rapid target of opportuni ty request, Chandra clearly detected the X-ray afterglow, whereas no optical afterglow was found in deep optical observations. Instead, we clearly detect the host galaxy in optica; and also in near-infrared b ands. We found that the best photometric redshift fitofthe host is z = 1.31:(+0.46/-0.23) (90% confidence), making it one of the highest redshift short GRBs. Furthermore, we see an offset of 1.0+/-O.2 arcseco nds, which corresponds to 8.4+/-1.7 kpc aSBuming z= 1.31, between the host and the afterglow position. We discuss the importance of using Chandra for obtaining sub-arcsecond localization of the afterglow in X -rays for short GRBs to study GRB environments in great detail.
    Keywords: Astronomy
    Type: GSFC.JA.7136.2012
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    Mars Science Laboratory Drill (2012)
    In:  CASI
    Details
    Publication Date: 2019-07-12
    Description: This drill (see Figure 1) is the primary sample acquisition element of the Mars Science Laboratory (MSL) that collects powdered samples from various types of rock (from clays to massive basalts) at depths up to 50 mm below the surface. A rotary-percussive sample acquisition device was developed with an emphasis on toughness and robustness to handle the harsh environment on Mars. It is the first rover-based sample acquisition device to be flight-qualified (see Figure 2). This drill features an autonomous tool change-out on a mobile robot, and novel voice-coil-based percussion. The drill comprises seven subelements. Starting at the end of the drill, there is a bit assembly that cuts the rock and collects the sample. Supporting the bit is a subassembly comprising a chuck mechanism to engage and release the new and worn bits, respectively, and a spindle mechanism to rotate the bit. Just aft of that is a percussion mechanism, which generates hammer blows to break the rock and create the dynamic environment used to flow the powdered sample. These components are mounted to a translation mechanism, which provides linear motion and senses weight-on-bit with a force sensor. There is a passive-contact sensor/stabilizer mechanism that secures the drill fs position on the rock surface, and flex harness management hardware to provide the power and signals to the translating components. The drill housing serves as the primary structure of the turret, to which the additional tools and instruments are attached. The drill bit assembly (DBA) is a passive device that is rotated and hammered in order to cut rock (i.e. science targets) and collect the cuttings (powder) in a sample chamber until ready for transfer to the CHIMRA (Collection and Handling for Interior Martian Rock Analysis). The DBA consists of a 5/8-in. (.1.6- cm) commercial hammer drill bit whose shank has been turned down and machined with deep flutes designed for aggressive cutting removal. Surrounding the shank of the bit is a thick-walled maraging steel collection tube allowing the powdered sample to be augured up the hole into the sample chamber. For robustness, the wall thickness of the DBA was maximized while still ensuring effective sample collection. There are four recesses in the bit tube that are used to retain the fresh bits in their bit box. The rotating bit is supported by a back-to-back duplex bearing pair within a housing that is connected to the outer DBA housing by two titanium diaphragms. The only bearings on the drill in the sample flow are protected by a spring-energized seal, and an integrated shield that diverts the ingested powdered sample from the moving interface. The DBA diaphragms provide radial constraint of the rotating bit and form the sample chambers. Between the diaphragms there is a sample exit tube from which the sample is transferred to the CHIMRA. To ensure that the entire collected sample is retained, no matter the orientation of the drill with respect to gravity during sampling, the pass-through from the forward to the aft chamber resides opposite to the exit tube.
    Keywords: Man/System Technology and Life Support
    Type: NPO-47523 , NASA Tech Briefs, August 2012; 5-6
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    Gamma-Ray Bursts in the Swift Era (2010)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: With its rapid-response capability and multiwavelength complement of instruments, the Swift satellite has transformed our physical understanding of gamma-ray bursts. Providing high-quality observations of hundreds of bursts, and facilitating a wide range of follow-up observations within seconds of each event, Swift has revealed an unforeseen richness in observed burst properties, shed light on the nature of short-duration bursts, and helped realize the promise of gamma-ray bursts as probes of the processes and environments of star formation out to the earliest cosmic epochs. These advances have opened new perspectives on the nature and properties of burst central engines, interactions with the burst environment from microparsec to gigaparsec scales, and the possibilities for non-photonic signatures. Our understanding of these extreme cosmic sources has thus advanced substantially; yet more than forty years after their discovery, gamma-ray bursts continue to present major challenges on both observational and theoretical fronts.
    Keywords: Astronomy
    Type: Gev to Tev Connection/Max-Planck-Institute for Nuclear; Jan 11, 2010 - Jan 16, 2010; Ringberg; Germany|COSPAR Workshop; Feb 08, 2010 - Feb 19, 2010; Bangalore; India|High Density Laboratory Astrophysics 2010; Mar 15, 2010 - Mar 19, 2010; Pasadena, CA; United States
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