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  • 1
    Publication Date: 2008-08-23
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wang, Michelle D -- England -- Nature. 2008 Aug 21;454(7207):921. doi: 10.1038/454921e.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Howard Hughes Medical Institute, Cornell University, Ithaca, New York, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18719548" target="_blank"〉PubMed〈/a〉
    Keywords: Biology/methods ; Biophysics/methods ; *Light ; Microscopy/*methods ; *Optical Tweezers
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    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2010-04-30
    Description: Ultracold polar molecules offer the possibility of exploring quantum gases with interparticle interactions that are strong, long-range and spatially anisotropic. This is in stark contrast to the much studied dilute gases of ultracold atoms, which have isotropic and extremely short-range (or 'contact') interactions. Furthermore, the large electric dipole moment of polar molecules can be tuned using an external electric field; this has a range of applications such as the control of ultracold chemical reactions, the design of a platform for quantum information processing and the realization of novel quantum many-body systems. Despite intense experimental efforts aimed at observing the influence of dipoles on ultracold molecules, only recently have sufficiently high densities been achieved. Here we report the experimental observation of dipolar collisions in an ultracold molecular gas prepared close to quantum degeneracy. For modest values of an applied electric field, we observe a pronounced increase in the loss rate of fermionic potassium-rubidium molecules due to ultracold chemical reactions. We find that the loss rate has a steep power-law dependence on the induced electric dipole moment, and we show that this dependence can be understood in a relatively simple model based on quantum threshold laws for the scattering of fermionic polar molecules. In addition, we directly observe the spatial anisotropy of the dipolar interaction through measurements of the thermodynamics of the dipolar gas. These results demonstrate how the long-range dipolar interaction can be used for electric-field control of chemical reaction rates in an ultracold gas of polar molecules. Furthermore, the large loss rates in an applied electric field suggest that creating a long-lived ensemble of ultracold polar molecules may require confinement in a two-dimensional trap geometry to suppress the influence of the attractive, 'head-to-tail', dipolar interactions.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ni, K-K -- Ospelkaus, S -- Wang, D -- Quemener, G -- Neyenhuis, B -- de Miranda, M H G -- Bohn, J L -- Ye, J -- Jin, D S -- England -- Nature. 2010 Apr 29;464(7293):1324-8. doi: 10.1038/nature08953.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉JILA, NIST and University of Colorado, Department of Physics, University of Colorado, Boulder, Colorado 80309-0440, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20428166" target="_blank"〉PubMed〈/a〉
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    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2010-07-20
    Description: Understanding the biology that underlies histologically similar but molecularly distinct subgroups of cancer has proven difficult because their defining genetic alterations are often numerous, and the cellular origins of most cancers remain unknown. We sought to decipher this heterogeneity by integrating matched genetic alterations and candidate cells of origin to generate accurate disease models. First, we identified subgroups of human ependymoma, a form of neural tumour that arises throughout the central nervous system (CNS). Subgroup-specific alterations included amplifications and homozygous deletions of genes not yet implicated in ependymoma. To select cellular compartments most likely to give rise to subgroups of ependymoma, we matched the transcriptomes of human tumours to those of mouse neural stem cells (NSCs), isolated from different regions of the CNS at different developmental stages, with an intact or deleted Ink4a/Arf locus (that encodes Cdkn2a and b). The transcriptome of human supratentorial ependymomas with amplified EPHB2 and deleted INK4A/ARF matched only that of embryonic cerebral Ink4a/Arf(-/-) NSCs. Notably, activation of Ephb2 signalling in these, but not other, NSCs generated the first mouse model of ependymoma, which is highly penetrant and accurately models the histology and transcriptome of one subgroup of human supratentorial tumour. Further, comparative analysis of matched mouse and human tumours revealed selective deregulation in the expression and copy number of genes that control synaptogenesis, pinpointing disruption of this pathway as a critical event in the production of this ependymoma subgroup. Our data demonstrate the power of cross-species genomics to meticulously match subgroup-specific driver mutations with cellular compartments to model and interrogate cancer subgroups.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2912966/" 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/PMC2912966/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Johnson, Robert A -- Wright, Karen D -- Poppleton, Helen -- Mohankumar, Kumarasamypet M -- Finkelstein, David -- Pounds, Stanley B -- Rand, Vikki -- Leary, Sarah E S -- White, Elsie -- Eden, Christopher -- Hogg, Twala -- Northcott, Paul -- Mack, Stephen -- Neale, Geoffrey -- Wang, Yong-Dong -- Coyle, Beth -- Atkinson, Jennifer -- DeWire, Mariko -- Kranenburg, Tanya A -- Gillespie, Yancey -- Allen, Jeffrey C -- Merchant, Thomas -- Boop, Fredrick A -- Sanford, Robert A -- Gajjar, Amar -- Ellison, David W -- Taylor, Michael D -- Grundy, Richard G -- Gilbertson, Richard J -- P01 CA096832/CA/NCI NIH HHS/ -- P01 CA096832-06A18120/CA/NCI NIH HHS/ -- P01 CA096832-078120/CA/NCI NIH HHS/ -- P01CA96832/CA/NCI NIH HHS/ -- P30 CA021765/CA/NCI NIH HHS/ -- P30 CA021765-319030/CA/NCI NIH HHS/ -- P30CA021765/CA/NCI NIH HHS/ -- R01 CA129541/CA/NCI NIH HHS/ -- R01 CA129541-01/CA/NCI NIH HHS/ -- R01 CA129541-02/CA/NCI NIH HHS/ -- R01 CA129541-03/CA/NCI NIH HHS/ -- R01 CA129541-04/CA/NCI NIH HHS/ -- R01CA129541/CA/NCI NIH HHS/ -- T32 CA070089/CA/NCI NIH HHS/ -- England -- Nature. 2010 Jul 29;466(7306):632-6. doi: 10.1038/nature09173. Epub 2010 Jul 18.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Developmental Neurobiology, St Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, Tennessee 38105, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20639864" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Cell Compartmentation ; Central Nervous System/cytology/growth & development ; Central Nervous System Neoplasms/classification/genetics/pathology ; *Disease Models, Animal ; Ependymoma/classification/*genetics/*pathology ; Gene Deletion ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Genes, p16 ; *Genomics ; Humans ; Mice ; Models, Biological ; Mutation/*genetics ; Polymorphism, Single Nucleotide/genetics ; Receptor, EphB2/genetics/metabolism ; Species Specificity ; Stem Cells/cytology/metabolism ; Synapses/metabolism
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    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2011-05-17
    Description: Mammalian genomes are populated with thousands of transcriptional enhancers that orchestrate cell-type-specific gene expression programs, but how those enhancers are exploited to institute alternative, signal-dependent transcriptional responses remains poorly understood. Here we present evidence that cell-lineage-specific factors, such as FoxA1, can simultaneously facilitate and restrict key regulated transcription factors, exemplified by the androgen receptor (AR), to act on structurally and functionally distinct classes of enhancer. Consequently, FoxA1 downregulation, an unfavourable prognostic sign in certain advanced prostate tumours, triggers dramatic reprogramming of the hormonal response by causing a massive switch in AR binding to a distinct cohort of pre-established enhancers. These enhancers are functional, as evidenced by the production of enhancer-templated non-coding RNA (eRNA) based on global nuclear run-on sequencing (GRO-seq) analysis, with a unique class apparently requiring no nucleosome remodelling to induce specific enhancer-promoter looping and gene activation. GRO-seq data also suggest that liganded AR induces both transcription initiation and elongation. Together, these findings reveal a large repository of active enhancers that can be dynamically tuned to elicit alternative gene expression programs, which may underlie many sequential gene expression events in development, cell differentiation and disease progression.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3117022/" 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/PMC3117022/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wang, Dong -- Garcia-Bassets, Ivan -- Benner, Chris -- Li, Wenbo -- Su, Xue -- Zhou, Yiming -- Qiu, Jinsong -- Liu, Wen -- Kaikkonen, Minna U -- Ohgi, Kenneth A -- Glass, Christopher K -- Rosenfeld, Michael G -- Fu, Xiang-Dong -- DK01847/DK/NIDDK NIH HHS/ -- DK074868/DK/NIDDK NIH HHS/ -- DK37949/DK/NIDDK NIH HHS/ -- GM049369/GM/NIGMS NIH HHS/ -- HG004659/HG/NHGRI NIH HHS/ -- NS34934/NS/NINDS NIH HHS/ -- P01 DK074868/DK/NIDDK NIH HHS/ -- P01 DK074868-05/DK/NIDDK NIH HHS/ -- P30 AG038072/AG/NIA NIH HHS/ -- R01 CA097134/CA/NCI NIH HHS/ -- R01 CA097134-10/CA/NCI NIH HHS/ -- R01 DK018477/DK/NIDDK NIH HHS/ -- R01 DK018477-35/DK/NIDDK NIH HHS/ -- R01 DK039949/DK/NIDDK NIH HHS/ -- R01 DK039949-30/DK/NIDDK NIH HHS/ -- R01 DK091183/DK/NIDDK NIH HHS/ -- R01 GM049369/GM/NIGMS NIH HHS/ -- R01 GM049369-17/GM/NIGMS NIH HHS/ -- R01 HG004659/HG/NHGRI NIH HHS/ -- R01 HG004659-03/HG/NHGRI NIH HHS/ -- R01 HL065445/HL/NHLBI NIH HHS/ -- R01 HL065445-12/HL/NHLBI NIH HHS/ -- R01 NS034934/NS/NINDS NIH HHS/ -- R01 NS034934-23/NS/NINDS NIH HHS/ -- R37 DK039949/DK/NIDDK NIH HHS/ -- R37 DK039949-28/DK/NIDDK NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2011 May 15;474(7351):390-4. doi: 10.1038/nature10006.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Cellular and Molecular Medicine, School of Medicine, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093-0651, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21572438" target="_blank"〉PubMed〈/a〉
    Keywords: Base Sequence ; Cell Line, Tumor ; Cell Lineage ; Dihydrotestosterone/pharmacology ; Down-Regulation ; Enhancer Elements, Genetic/*genetics ; Gene Expression Regulation, Neoplastic ; Gene Knockdown Techniques ; Genome, Human/genetics ; HEK293 Cells ; Hepatocyte Nuclear Factor 3-alpha/deficiency/genetics/*metabolism ; Histones/metabolism ; Humans ; Kallikreins ; Male ; Prostate-Specific Antigen ; Prostatic Neoplasms/metabolism/pathology ; RNA, Small Interfering/genetics/metabolism ; RNA, Untranslated/*genetics ; Receptors, Androgen/*metabolism ; Transcription, Genetic/*genetics
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  • 5
    Publication Date: 2012-11-07
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Barabasi, Albert-Laszlo -- Song, Chaoming -- Wang, Dashun -- England -- Nature. 2012 Nov 1;491(7422):40. doi: 10.1038/491040a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23128218" target="_blank"〉PubMed〈/a〉
    Keywords: *Bibliometrics ; Crowdsourcing ; Publishing/*statistics & numerical data ; Research/*statistics & numerical data ; *Research Personnel ; Time Factors
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    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 6
    Publication Date: 2013-01-04
    Description: Protein kinase M-zeta (PKM-zeta) is a constitutively active form of atypical protein kinase C that is exclusively expressed in the brain and implicated in the maintenance of long-term memory. Most studies that support a role for PKM-zeta in memory maintenance have used pharmacological PKM-zeta inhibitors such as the myristoylated zeta inhibitory peptide (ZIP) or chelerythrine. Here we use a genetic approach and target exon 9 of the Prkcz gene to generate mice that lack both protein kinase C-zeta (PKC-zeta) and PKM-zeta (Prkcz(-/-) mice). Prkcz(-/-) mice showed normal behaviour in a cage environment and in baseline tests of motor function and sensory perception, but displayed reduced anxiety-like behaviour. Notably, Prkcz(-/-) mice did not show deficits in learning or memory in tests of cued fear conditioning, novel object recognition, object location recognition, conditioned place preference for cocaine, or motor learning, when compared with wild-type littermates. ZIP injection into the nucleus accumbens reduced expression of cocaine-conditioned place preference in Prkcz(-/-) mice. In vitro, ZIP and scrambled ZIP inhibited PKM-zeta, PKC-iota and PKC-zeta with similar inhibition constant (K(i)) values. Chelerythrine was a weak inhibitor of PKM-zeta (K(i) = 76 muM). Our findings show that absence of PKM-zeta does not impair learning and memory in mice, and that ZIP can erase reward memory even when PKM-zeta is not present.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3548047/" 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/PMC3548047/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lee, Anna M -- Kanter, Benjamin R -- Wang, Dan -- Lim, Jana P -- Zou, Mimi E -- Qiu, Chichen -- McMahon, Thomas -- Dadgar, Jahan -- Fischbach-Weiss, Sarah C -- Messing, Robert O -- AA017072/AA/NIAAA NIH HHS/ -- P50 AA017072/AA/NIAAA NIH HHS/ -- T32 GM007618/GM/NIGMS NIH HHS/ -- Canadian Institutes of Health Research/Canada -- England -- Nature. 2013 Jan 17;493(7432):416-9. doi: 10.1038/nature11803. Epub 2013 Jan 2.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Ernest Gallo Clinic and Research Center, Department of Neurology, University of California, San Francisco, 5858 Horton Street, Suite 200, Emeryville, California 94608, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23283171" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Anxiety/genetics ; Behavior, Animal ; Benzophenanthridines/pharmacology ; Cocaine ; Conditioning, Classical ; Cues ; Exons/genetics ; Fear ; Female ; *Gene Deletion ; Male ; Memory/*physiology ; Mice ; Protein Kinase C/analysis/*deficiency/*genetics/immunology
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  • 7
    Publication Date: 2013-12-18
    Description: Strigolactones (SLs), a newly discovered class of carotenoid-derived phytohormones, are essential for developmental processes that shape plant architecture and interactions with parasitic weeds and symbiotic arbuscular mycorrhizal fungi. Despite the rapid progress in elucidating the SL biosynthetic pathway, the perception and signalling mechanisms of SL remain poorly understood. Here we show that DWARF 53 (D53) acts as a repressor of SL signalling and that SLs induce its degradation. We find that the rice (Oryza sativa) d53 mutant, which produces an exaggerated number of tillers compared to wild-type plants, is caused by a gain-of-function mutation and is insensitive to exogenous SL treatment. The D53 gene product shares predicted features with the class I Clp ATPase proteins and can form a complex with the alpha/beta hydrolase protein DWARF 14 (D14) and the F-box protein DWARF 3 (D3), two previously identified signalling components potentially responsible for SL perception. We demonstrate that, in a D14- and D3-dependent manner, SLs induce D53 degradation by the proteasome and abrogate its activity in promoting axillary bud outgrowth. Our combined genetic and biochemical data reveal that D53 acts as a repressor of the SL signalling pathway, whose hormone-induced degradation represents a key molecular link between SL perception and responses.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4096652/" 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/PMC4096652/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Zhou, Feng -- Lin, Qibing -- Zhu, Lihong -- Ren, Yulong -- Zhou, Kunneng -- Shabek, Nitzan -- Wu, Fuqing -- Mao, Haibin -- Dong, Wei -- Gan, Lu -- Ma, Weiwei -- Gao, He -- Chen, Jun -- Yang, Chao -- Wang, Dan -- Tan, Junjie -- Zhang, Xin -- Guo, Xiuping -- Wang, Jiulin -- Jiang, Ling -- Liu, Xi -- Chen, Weiqi -- Chu, Jinfang -- Yan, Cunyu -- Ueno, Kotomi -- Ito, Shinsaku -- Asami, Tadao -- Cheng, Zhijun -- Wang, Jie -- Lei, Cailin -- Zhai, Huqu -- Wu, Chuanyin -- Wang, Haiyang -- Zheng, Ning -- Wan, Jianmin -- R01 CA107134/CA/NCI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2013 Dec 19;504(7480):406-10. doi: 10.1038/nature12878. Epub 2013 Dec 11.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] National Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Plant Gene Engineering Research Center, Nanjing Agricultural University, Nanjing 210095, China [2] National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China. ; National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China. ; National Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Plant Gene Engineering Research Center, Nanjing Agricultural University, Nanjing 210095, China. ; 1] Department of Pharmacology, University of Washington, Seattle, Washington 98195, USA [2] Howard Hughes Medical Institute, Box 357280, University of Washington, Seattle, Washington 98195, USA. ; National Centre for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, 1-2 Beichen West Road, Beijing 100101, China. ; Department of Applied Biological Chemistry, The University of Tokyo, 1-1-1 Yayoi, Bunkyo, Tokyo 113-8657, Japan.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24336215" target="_blank"〉PubMed〈/a〉
    Keywords: Amino Acid Sequence ; Cloning, Molecular ; Gene Expression Regulation, Plant ; Lactones/*metabolism ; Molecular Sequence Data ; Mutation/genetics ; Oryza/genetics/*metabolism ; Phenotype ; Plant Growth Regulators/*metabolism ; Plant Proteins/genetics/*metabolism ; Proteasome Endopeptidase Complex/metabolism ; Protein Binding ; *Proteolysis ; SKP Cullin F-Box Protein Ligases/*metabolism ; *Signal Transduction
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  • 8
    Publication Date: 2014-08-29
    Description: Despite the large evolutionary distances between metazoan species, they can show remarkable commonalities in their biology, and this has helped to establish fly and worm as model organisms for human biology. Although studies of individual elements and factors have explored similarities in gene regulation, a large-scale comparative analysis of basic principles of transcriptional regulatory features is lacking. Here we map the genome-wide binding locations of 165 human, 93 worm and 52 fly transcription regulatory factors, generating a total of 1,019 data sets from diverse cell types, developmental stages, or conditions in the three species, of which 498 (48.9%) are presented here for the first time. We find that structural properties of regulatory networks are remarkably conserved and that orthologous regulatory factor families recognize similar binding motifs in vivo and show some similar co-associations. Our results suggest that gene-regulatory properties previously observed for individual factors are general principles of metazoan regulation that are remarkably well-preserved despite extensive functional divergence of individual network connections. The comparative maps of regulatory circuitry provided here will drive an improved understanding of the regulatory underpinnings of model organism biology and how these relate to human biology, development and disease.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4336544/" 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/PMC4336544/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Boyle, Alan P -- Araya, Carlos L -- Brdlik, Cathleen -- Cayting, Philip -- Cheng, Chao -- Cheng, Yong -- Gardner, Kathryn -- Hillier, LaDeana W -- Janette, Judith -- Jiang, Lixia -- Kasper, Dionna -- Kawli, Trupti -- Kheradpour, Pouya -- Kundaje, Anshul -- Li, Jingyi Jessica -- Ma, Lijia -- Niu, Wei -- Rehm, E Jay -- Rozowsky, Joel -- Slattery, Matthew -- Spokony, Rebecca -- Terrell, Robert -- Vafeados, Dionne -- Wang, Daifeng -- Weisdepp, Peter -- Wu, Yi-Chieh -- Xie, Dan -- Yan, Koon-Kiu -- Feingold, Elise A -- Good, Peter J -- Pazin, Michael J -- Huang, Haiyan -- Bickel, Peter J -- Brenner, Steven E -- Reinke, Valerie -- Waterston, Robert H -- Gerstein, Mark -- White, Kevin P -- Kellis, Manolis -- Snyder, Michael -- F32GM101778/GM/NIGMS NIH HHS/ -- P50GM081892/GM/NIGMS NIH HHS/ -- R01 HG004037/HG/NHGRI NIH HHS/ -- RC2HG005679/HG/NHGRI NIH HHS/ -- U01 HG004267/HG/NHGRI NIH HHS/ -- U01HG004264/HG/NHGRI NIH HHS/ -- U01HG004267/HG/NHGRI NIH HHS/ -- U54 HG004558/HG/NHGRI NIH HHS/ -- U54 HG006996/HG/NHGRI NIH HHS/ -- U54HG004558/HG/NHGRI NIH HHS/ -- U54HG006996/HG/NHGRI NIH HHS/ -- UL1 TR000430/TR/NCATS NIH HHS/ -- England -- Nature. 2014 Aug 28;512(7515):453-6. doi: 10.1038/nature13668.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA [2]. ; Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA. ; Program of Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut 06520, USA. ; Department of Genetics, Yale University School of Medicine, New Haven, Connecticut 06520, USA. ; Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA. ; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA. ; 1] Department of Computer Science, Stanford University, Stanford, California 94305, USA [2] Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA. ; 1] Department of Statistics, University of California, Berkeley, California 94720, USA [2] Department of Statistics, University of California, Los Angeles, California 90095, USA. ; Institute for Genomics and Systems Biology, University of Chicago, Chicago, Ilinois 60637, USA. ; National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, 20892, USA. ; Department of Statistics, University of California, Berkeley, California 94720, USA. ; 1] Department of Molecular and Cell Biology, University of California, Berkeley, California 94720, USA [2] Department of Plant and Microbial Biology, University of California, Berkeley, California 94720, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25164757" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Binding Sites ; Caenorhabditis elegans/*genetics/growth & development ; Chromatin Immunoprecipitation ; Conserved Sequence/genetics ; Drosophila melanogaster/*genetics/growth & development ; *Evolution, Molecular ; Gene Expression Regulation/*genetics ; Gene Expression Regulation, Developmental/genetics ; Gene Regulatory Networks/*genetics ; Genome/genetics ; Humans ; Molecular Sequence Annotation ; Nucleotide Motifs/genetics ; Organ Specificity/genetics ; Transcription Factors/genetics/*metabolism
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  • 9
    Publication Date: 2015-06-09
    Description: Understanding the spatiotemporal patterns of emergence and circulation of new human seasonal influenza virus variants is a key scientific and public health challenge. The global circulation patterns of influenza A/H3N2 viruses are well characterized, but the patterns of A/H1N1 and B viruses have remained largely unexplored. Here we show that the global circulation patterns of A/H1N1 (up to 2009), B/Victoria, and B/Yamagata viruses differ substantially from those of A/H3N2 viruses, on the basis of analyses of 9,604 haemagglutinin sequences of human seasonal influenza viruses from 2000 to 2012. Whereas genetic variants of A/H3N2 viruses did not persist locally between epidemics and were reseeded from East and Southeast Asia, genetic variants of A/H1N1 and B viruses persisted across several seasons and exhibited complex global dynamics with East and Southeast Asia playing a limited role in disseminating new variants. The less frequent global movement of influenza A/H1N1 and B viruses coincided with slower rates of antigenic evolution, lower ages of infection, and smaller, less frequent epidemics compared to A/H3N2 viruses. Detailed epidemic models support differences in age of infection, combined with the less frequent travel of children, as probable drivers of the differences in the patterns of global circulation, suggesting a complex interaction between virus evolution, epidemiology, and human behaviour.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4499780/" 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/PMC4499780/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bedford, Trevor -- Riley, Steven -- Barr, Ian G -- Broor, Shobha -- Chadha, Mandeep -- Cox, Nancy J -- Daniels, Rodney S -- Gunasekaran, C Palani -- Hurt, Aeron C -- Kelso, Anne -- Klimov, Alexander -- Lewis, Nicola S -- Li, Xiyan -- McCauley, John W -- Odagiri, Takato -- Potdar, Varsha -- Rambaut, Andrew -- Shu, Yuelong -- Skepner, Eugene -- Smith, Derek J -- Suchard, Marc A -- Tashiro, Masato -- Wang, Dayan -- Xu, Xiyan -- Lemey, Philippe -- Russell, Colin A -- 093488/Wellcome Trust/United Kingdom -- 093488/Z/10/Z/Wellcome Trust/United Kingdom -- 095831/Wellcome Trust/United Kingdom -- 260864/European Research Council/International -- MR/J008761/1/Medical Research Council/United Kingdom -- R01 AI 107034/AI/NIAID NIH HHS/ -- R01 AI107034/AI/NIAID NIH HHS/ -- R01 TW008246/TW/FIC NIH HHS/ -- R01 TW008246-01/TW/FIC NIH HHS/ -- U01 GM110721/GM/NIGMS NIH HHS/ -- U01 GM110721-01/GM/NIGMS NIH HHS/ -- U117512723/Medical Research Council/United Kingdom -- U54 GM111274/GM/NIGMS NIH HHS/ -- England -- Nature. 2015 Jul 9;523(7559):217-20. doi: 10.1038/nature14460. Epub 2015 Jun 8.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA. ; 1] MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London SW7 2AZ, UK [2] Fogarty International Center, National Institutes of Health, Bethesda, Maryland 20892, USA. ; World Health Organization (WHO) Collaborating Centre for Reference and Research on Influenza, Melbourne, Victoria 3000, Australia. ; SGT Medical College, Hospital and Research Institute, Village Budhera, District Gurgaon, Haryana 122505, India. ; National Institute of Virology, Pune 411001, India. ; WHO Collaborating Center for Reference and Research on Influenza, Centers for Disease Control and Prevention, Atlanta, Georgia 30329, USA. ; WHO Collaborating Center for Reference and Research on Influenza, Medical Research Council National Institute for Medical Research (NIMR), London NW7 1AA, UK. ; King Institute of Preventive Medicine and Research, Guindy, Chennai 600032, India. ; 1] World Health Organization (WHO) Collaborating Centre for Reference and Research on Influenza, Melbourne, Victoria 3000, Australia [2] Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria 3010, Australia. ; Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK. ; WHO Collaborating Center for Reference and Research on Influenza, National Institute for Viral Disease Control and Prevention, China CDC, Beijing 102206, China. ; WHO Collaborating Center for Reference and Research on Influenza, National Institute of Infectious Diseases, Tokyo 208-0011, Japan. ; 1] Fogarty International Center, National Institutes of Health, Bethesda, Maryland 20892, USA [2] Institute of Evolutionary Biology, University of Edinburgh, Edinburgh EH9 3JT, UK [3] Centre for Immunology, Infection and Evolution, University of Edinburgh, Edinburgh EH9 3FL, UK. ; 1] Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK [2] Department of Viroscience, Erasmus Medical Center, 3015 Rotterdam, The Netherlands. ; 1] Department of Biostatistics, UCLA Fielding School of Public Health, University of California, Los Angeles, California 90095, USA [2] Department of Biomathematics, David Geffen School of Medicine at UCLA, University of California, Los Angeles, California 90095, USA [3] Department of Human Genetics, David Geffen School of Medicine at UCLA, University of California, Los Angeles, California 90095, USA. ; Department of Microbiology and Immunology, Rega Institute, KU Leuven - University of Leuven, 3000 Leuven, Belgium. ; Department of Veterinary Medicine, University of Cambridge, Cambridge CB3 0ES, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26053121" target="_blank"〉PubMed〈/a〉
    Keywords: Age Factors ; *Antigenic Variation ; Global Health ; Humans ; Influenza A virus/classification/*genetics ; Influenza B virus/classification/*genetics ; Influenza, Human/*epidemiology/*virology ; Phylogeny ; Phylogeography ; Seasons
    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: 2013-11-01
    Description: The biogeochemical cycles of carbon (C), nitrogen (N) and phosphorus (P) are interlinked by primary production, respiration and decomposition in terrestrial ecosystems. It has been suggested that the C, N and P cycles could become uncoupled under rapid climate change because of the different degrees of control exerted on the supply of these elements by biological and geochemical processes. Climatic controls on biogeochemical cycles are particularly relevant in arid, semi-arid and dry sub-humid ecosystems (drylands) because their biological activity is mainly driven by water availability. The increase in aridity predicted for the twenty-first century in many drylands worldwide may therefore threaten the balance between these cycles, differentially affecting the availability of essential nutrients. Here we evaluate how aridity affects the balance between C, N and P in soils collected from 224 dryland sites from all continents except Antarctica. We find a negative effect of aridity on the concentration of soil organic C and total N, but a positive effect on the concentration of inorganic P. Aridity is negatively related to plant cover, which may favour the dominance of physical processes such as rock weathering, a major source of P to ecosystems, over biological processes that provide more C and N, such as litter decomposition. Our findings suggest that any predicted increase in aridity with climate change will probably reduce the concentrations of N and C in global drylands, but increase that of P. These changes would uncouple the C, N and P cycles in drylands and could negatively affect the provision of key services provided by these ecosystems.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Delgado-Baquerizo, Manuel -- Maestre, Fernando T -- Gallardo, Antonio -- Bowker, Matthew A -- Wallenstein, Matthew D -- Quero, Jose Luis -- Ochoa, Victoria -- Gozalo, Beatriz -- Garcia-Gomez, Miguel -- Soliveres, Santiago -- Garcia-Palacios, Pablo -- Berdugo, Miguel -- Valencia, Enrique -- Escolar, Cristina -- Arredondo, Tulio -- Barraza-Zepeda, Claudia -- Bran, Donaldo -- Carreira, Jose Antonio -- Chaieb, Mohamed -- Conceicao, Abel A -- Derak, Mchich -- Eldridge, David J -- Escudero, Adrian -- Espinosa, Carlos I -- Gaitan, Juan -- Gatica, M Gabriel -- Gomez-Gonzalez, Susana -- Guzman, Elizabeth -- Gutierrez, Julio R -- Florentino, Adriana -- Hepper, Estela -- Hernandez, Rosa M -- Huber-Sannwald, Elisabeth -- Jankju, Mohammad -- Liu, Jushan -- Mau, Rebecca L -- Miriti, Maria -- Monerris, Jorge -- Naseri, Kamal -- Noumi, Zouhaier -- Polo, Vicente -- Prina, Anibal -- Pucheta, Eduardo -- Ramirez, Elizabeth -- Ramirez-Collantes, David A -- Romao, Roberto -- Tighe, Matthew -- Torres, Duilio -- Torres-Diaz, Cristian -- Ungar, Eugene D -- Val, James -- Wamiti, Wanyoike -- Wang, Deli -- Zaady, Eli -- England -- Nature. 2013 Oct 31;502(7473):672-6. doi: 10.1038/nature12670.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Departamento de Sistemas Fisicos, Quimicos y Naturales, Universidad Pablo de Olavide, Carretera de Utrera, kilometro 1, 41013 Sevilla, Spain [2] Area de Biodiversidad y Conservacion, Departamento de Biologia y Geologia, Escuela Superior de Ciencias Experimentales y Tecnologia, Universidad Rey Juan Carlos, Calle Tulipan Sin Numero, 28933 Mostoles, Spain.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24172979" target="_blank"〉PubMed〈/a〉
    Keywords: Aluminum Silicates/analysis ; Biomass ; Carbon/analysis/metabolism ; Carbon Cycle ; Climate Change ; *Desert Climate ; *Desiccation ; *Ecosystem ; *Geography ; Models, Theoretical ; Nitrogen/analysis/metabolism ; Nitrogen Cycle ; Phosphoric Monoester Hydrolases/analysis/metabolism ; Phosphorus/analysis/metabolism ; Plants/metabolism ; Soil/*chemistry
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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