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  • Time Factors  (20)
  • Nature Publishing Group (NPG)  (20)
  • 2005-2009  (20)
  • 1940-1944
  • 2008  (20)
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  • 1
    Publication Date: 2008-05-27
    Description: Relapse to cocaine use after prolonged abstinence is an important clinical problem. This relapse is often induced by exposure to cues associated with cocaine use. To account for the persistent propensity for relapse, it has been suggested that cue-induced cocaine craving increases over the first several weeks of abstinence and remains high for extended periods. We and others identified an analogous phenomenon in rats that was termed 'incubation of cocaine craving': time-dependent increases in cue-induced cocaine-seeking over the first months after withdrawal from self-administered cocaine. Cocaine-seeking requires the activation of glutamate projections that excite receptors for alpha-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid (AMPA) in the nucleus accumbens. Here we show that the number of synaptic AMPA receptors in the accumbens is increased after prolonged withdrawal from cocaine self-administration by the addition of new AMPA receptors lacking glutamate receptor 2 (GluR2). Furthermore, we show that these new receptors mediate the incubation of cocaine craving. Our results indicate that GluR2-lacking AMPA receptors could be a new target for drug development for the treatment of cocaine addiction. We propose that after prolonged withdrawal from cocaine, increased numbers of synaptic AMPA receptors combined with the higher conductance of GluR2-lacking AMPA receptors causes increased reactivity of accumbens neurons to cocaine-related cues, leading to an intensification of drug craving and relapse.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2574981/" 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/PMC2574981/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Conrad, Kelly L -- Tseng, Kuei Y -- Uejima, Jamie L -- Reimers, Jeremy M -- Heng, Li-Jun -- Shaham, Yavin -- Marinelli, Michela -- Wolf, Marina E -- DA00453/DA/NIDA NIH HHS/ -- DA015835/DA/NIDA NIH HHS/ -- DA020654/DA/NIDA NIH HHS/ -- DA09621/DA/NIDA NIH HHS/ -- Z01 DA000434-08/Intramural NIH HHS/ -- England -- Nature. 2008 Jul 3;454(7200):118-21. doi: 10.1038/nature06995. Epub 2008 May 25.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Neuroscience, Rosalind Franklin University of Medicine and Science, 3333 Green Bay Road, North Chicago, Illinois 60064, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18500330" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Cocaine ; Cocaine-Related Disorders/genetics/metabolism/*physiopathology ; Cues ; Gene Expression Regulation ; Male ; Nucleus Accumbens/*metabolism/physiopathology ; Rats ; Rats, Long-Evans ; Rats, Sprague-Dawley ; Receptors, AMPA/deficiency/genetics/*metabolism ; Self Administration ; Time Factors
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  • 2
    Publication Date: 2008-09-23
    Description: Type 1 diabetes (T1D) is a debilitating autoimmune disease that results from T-cell-mediated destruction of insulin-producing beta-cells. Its incidence has increased during the past several decades in developed countries, suggesting that changes in the environment (including the human microbial environment) may influence disease pathogenesis. The incidence of spontaneous T1D in non-obese diabetic (NOD) mice can be affected by the microbial environment in the animal housing facility or by exposure to microbial stimuli, such as injection with mycobacteria or various microbial products. Here we show that specific pathogen-free NOD mice lacking MyD88 protein (an adaptor for multiple innate immune receptors that recognize microbial stimuli) do not develop T1D. The effect is dependent on commensal microbes because germ-free MyD88-negative NOD mice develop robust diabetes, whereas colonization of these germ-free MyD88-negative NOD mice with a defined microbial consortium (representing bacterial phyla normally present in human gut) attenuates T1D. We also find that MyD88 deficiency changes the composition of the distal gut microbiota, and that exposure to the microbiota of specific pathogen-free MyD88-negative NOD donors attenuates T1D in germ-free NOD recipients. Together, these findings indicate that interaction of the intestinal microbes with the innate immune system is a critical epigenetic factor modifying T1D predisposition.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2574766/" 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/PMC2574766/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wen, Li -- Ley, Ruth E -- Volchkov, Pavel Yu -- Stranges, Peter B -- Avanesyan, Lia -- Stonebraker, Austin C -- Hu, Changyun -- Wong, F Susan -- Szot, Gregory L -- Bluestone, Jeffrey A -- Gordon, Jeffrey I -- Chervonsky, Alexander V -- DK063452/DK/NIDDK NIH HHS/ -- DK30292/DK/NIDDK NIH HHS/ -- DK42086/DK/NIDDK NIH HHS/ -- DK45735/DK/NIDDK NIH HHS/ -- DK70977/DK/NIDDK NIH HHS/ -- P30 DK042086/DK/NIDDK NIH HHS/ -- P30 DK042086-16/DK/NIDDK NIH HHS/ -- P30 DK045735/DK/NIDDK NIH HHS/ -- P30 DK045735-10/DK/NIDDK NIH HHS/ -- P30 DK045735-119006/DK/NIDDK NIH HHS/ -- P30 DK056341/DK/NIDDK NIH HHS/ -- P30 DK056341-07/DK/NIDDK NIH HHS/ -- P30 DK056341-08/DK/NIDDK NIH HHS/ -- P30 DK063720/DK/NIDDK NIH HHS/ -- P30 DK063720-01/DK/NIDDK NIH HHS/ -- P30 DK63720/DK/NIDDK NIH HHS/ -- R01 DK030292/DK/NIDDK NIH HHS/ -- R01 DK030292-24/DK/NIDDK NIH HHS/ -- R01 DK070977/DK/NIDDK NIH HHS/ -- R01 DK070977-04/DK/NIDDK NIH HHS/ -- R21 DK063452/DK/NIDDK NIH HHS/ -- R21 DK063452-02/DK/NIDDK NIH HHS/ -- R37 AI046643/AI/NIAID NIH HHS/ -- R37 AI046643-10/AI/NIAID NIH HHS/ -- R37 AI46643/AI/NIAID NIH HHS/ -- England -- Nature. 2008 Oct 23;455(7216):1109-13. doi: 10.1038/nature07336. Epub 2008 Sep 21.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Section of Endocrinology, Yale University School of Medicine, New Haven, Connecticut 06520, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18806780" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Bacteria/classification/genetics/*immunology/isolation & purification ; CD8-Positive T-Lymphocytes/immunology ; Diabetes Mellitus, Type 1/genetics/*immunology/*microbiology ; Female ; Immunity, Innate/genetics/*immunology ; Interferon-gamma/immunology ; Intestines/*microbiology ; Islets of Langerhans/pathology ; Male ; Mice ; Mice, Inbred NOD ; Mice, Knockout ; Mice, SCID ; Molecular Sequence Data ; Myeloid Differentiation Factor 88/genetics ; Phylogeny ; Specific Pathogen-Free Organisms ; Time Factors
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  • 3
    Publication Date: 2008-06-20
    Description: Lancelets ('amphioxus') are the modern survivors of an ancient chordate lineage, with a fossil record dating back to the Cambrian period. Here we describe the structure and gene content of the highly polymorphic approximately 520-megabase genome of the Florida lancelet Branchiostoma floridae, and analyse it in the context of chordate evolution. Whole-genome comparisons illuminate the murky relationships among the three chordate groups (tunicates, lancelets and vertebrates), and allow not only reconstruction of the gene complement of the last common chordate ancestor but also partial reconstruction of its genomic organization, as well as a description of two genome-wide duplications and subsequent reorganizations in the vertebrate lineage. These genome-scale events shaped the vertebrate genome and provided additional genetic variation for exploitation during vertebrate evolution.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Putnam, Nicholas H -- Butts, Thomas -- Ferrier, David E K -- Furlong, Rebecca F -- Hellsten, Uffe -- Kawashima, Takeshi -- Robinson-Rechavi, Marc -- Shoguchi, Eiichi -- Terry, Astrid -- Yu, Jr-Kai -- Benito-Gutierrez, E Lia -- Dubchak, Inna -- Garcia-Fernandez, Jordi -- Gibson-Brown, Jeremy J -- Grigoriev, Igor V -- Horton, Amy C -- de Jong, Pieter J -- Jurka, Jerzy -- Kapitonov, Vladimir V -- Kohara, Yuji -- Kuroki, Yoko -- Lindquist, Erika -- Lucas, Susan -- Osoegawa, Kazutoyo -- Pennacchio, Len A -- Salamov, Asaf A -- Satou, Yutaka -- Sauka-Spengler, Tatjana -- Schmutz, Jeremy -- Shin-I, Tadasu -- Toyoda, Atsushi -- Bronner-Fraser, Marianne -- Fujiyama, Asao -- Holland, Linda Z -- Holland, Peter W H -- Satoh, Nori -- Rokhsar, Daniel S -- BBS/B/12067/Biotechnology and Biological Sciences Research Council/United Kingdom -- BBS/B/12067/2/Biotechnology and Biological Sciences Research Council/United Kingdom -- Biotechnology and Biological Sciences Research Council/United Kingdom -- Wellcome Trust/United Kingdom -- England -- Nature. 2008 Jun 19;453(7198):1064-71. doi: 10.1038/nature06967.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Energy Joint Genome Institute, Walnut Creek, California 94598, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18563158" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Chordata/classification/*genetics ; Conserved Sequence ; DNA Transposable Elements/genetics ; *Evolution, Molecular ; Gene Duplication ; Genes/genetics ; Genetic Linkage ; Genome/*genetics ; Humans ; Introns/genetics ; Karyotyping ; Multigene Family ; Phylogeny ; Polymorphism, Genetic/genetics ; Proteins/genetics ; Synteny ; Time Factors ; Vertebrates/classification/genetics
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  • 4
    Publication Date: 2008-09-19
    Description: Terrestrial ecosystems control carbon dioxide fluxes to and from the atmosphere through photosynthesis and respiration, a balance between net primary productivity and heterotrophic respiration, that determines whether an ecosystem is sequestering carbon or releasing it to the atmosphere. Global and site-specific data sets have demonstrated that climate and climate variability influence biogeochemical processes that determine net ecosystem carbon dioxide exchange (NEE) at multiple timescales. Experimental data necessary to quantify impacts of a single climate variable, such as temperature anomalies, on NEE and carbon sequestration of ecosystems at interannual timescales have been lacking. This derives from an inability of field studies to avoid the confounding effects of natural intra-annual and interannual variability in temperature and precipitation. Here we present results from a four-year study using replicate 12,000-kg intact tallgrass prairie monoliths located in four 184-m(3) enclosed lysimeters. We exposed 6 of 12 monoliths to an anomalously warm year in the second year of the study and continuously quantified rates of ecosystem processes, including NEE. We find that warming decreases NEE in both the extreme year and the following year by inducing drought that suppresses net primary productivity in the extreme year and by stimulating heterotrophic respiration of soil biota in the subsequent year. Our data indicate that two years are required for NEE in the previously warmed experimental ecosystems to recover to levels measured in the control ecosystems. This time lag caused net ecosystem carbon sequestration in previously warmed ecosystems to be decreased threefold over the study period, compared with control ecosystems. Our findings suggest that more frequent anomalously warm years, a possible consequence of increasing anthropogenic carbon dioxide levels, may lead to a sustained decrease in carbon dioxide uptake by terrestrial ecosystems.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Arnone, John A 3rd -- Verburg, Paul S J -- Johnson, Dale W -- Larsen, Jessica D -- Jasoni, Richard L -- Lucchesi, Annmarie J -- Batts, Candace M -- von Nagy, Christopher -- Coulombe, William G -- Schorran, David E -- Buck, Paul E -- Braswell, Bobby H -- Coleman, James S -- Sherry, Rebecca A -- Wallace, Linda L -- Luo, Yiqi -- Schimel, David S -- England -- Nature. 2008 Sep 18;455(7211):383-6. doi: 10.1038/nature07296.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Desert Research Institute, Reno, Nevada 89512, USA. jarnone@dri.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18800137" target="_blank"〉PubMed〈/a〉
    Keywords: Carbon Dioxide/*metabolism ; *Climate ; Disasters ; *Ecosystem ; *Hot Temperature ; Time Factors
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  • 5
    Publication Date: 2008-04-22
    Description: Metabolic phenotypes are the products of interactions among a variety of factors-dietary, other lifestyle/environmental, gut microbial and genetic. We use a large-scale exploratory analytical approach to investigate metabolic phenotype variation across and within four human populations, based on 1H NMR spectroscopy. Metabolites discriminating across populations are then linked to data for individuals on blood pressure, a major risk factor for coronary heart disease and stroke (leading causes of mortality worldwide). We analyse spectra from two 24-hour urine specimens for each of 4,630 participants from the INTERMAP epidemiological study, involving 17 population samples aged 40-59 in China, Japan, UK and USA. We show that urinary metabolite excretion patterns for East Asian and western population samples, with contrasting diets, diet-related major risk factors, and coronary heart disease/stroke rates, are significantly differentiated (P 〈 10(-16)), as are Chinese/Japanese metabolic phenotypes, and subgroups with differences in dietary vegetable/animal protein and blood pressure. Among discriminatory metabolites, we quantify four and show association (P 〈 0.05 to P 〈 0.0001) of mean 24-hour urinary formate excretion with blood pressure in multiple regression analyses for individuals. Mean 24-hour urinary excretion of alanine (direct) and hippurate (inverse), reflecting diet and gut microbial activities, are also associated with blood pressure of individuals. Metabolic phenotyping applied to high-quality epidemiological data offers the potential to develop an area of aetiopathogenetic knowledge involving discovery of novel biomarkers related to cardiovascular disease risk.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Holmes, Elaine -- Loo, Ruey Leng -- Stamler, Jeremiah -- Bictash, Magda -- Yap, Ivan K S -- Chan, Queenie -- Ebbels, Tim -- De Iorio, Maria -- Brown, Ian J -- Veselkov, Kirill A -- Daviglus, Martha L -- Kesteloot, Hugo -- Ueshima, Hirotsugu -- Zhao, Liancheng -- Nicholson, Jeremy K -- Elliott, Paul -- R01 HL084228/HL/NHLBI NIH HHS/ -- R01 HL50490/HL/NHLBI NIH HHS/ -- England -- Nature. 2008 May 15;453(7193):396-400. doi: 10.1038/nature06882. Epub 2008 Apr 20.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Biomolecular Medicine, Division of Surgery, Oncology, Reproductive Biology and Anaesthetics (SORA), Faculty of Medicine, Imperial College London, South Kensington Campus, London SW7 2AZ, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18425110" target="_blank"〉PubMed〈/a〉
    Keywords: Adult ; Alanine/urine ; Animals ; Blood Pressure/*physiology ; Cardiovascular Diseases/metabolism ; China ; *Diet ; Dietary Proteins/pharmacology ; Female ; Great Britain ; Hippurates/urine ; Humans ; Intestines/microbiology ; Japan ; Magnetic Resonance Spectroscopy ; Male ; Metabolism/*physiology ; Middle Aged ; Phenotype ; Principal Component Analysis ; Time Factors ; United States ; Vegetables/chemistry
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  • 6
    Publication Date: 2008-11-21
    Description: Seasonal influenza epidemics are a major public health concern, causing tens of millions of respiratory illnesses and 250,000 to 500,000 deaths worldwide each year. In addition to seasonal influenza, a new strain of influenza virus against which no previous immunity exists and that demonstrates human-to-human transmission could result in a pandemic with millions of fatalities. Early detection of disease activity, when followed by a rapid response, can reduce the impact of both seasonal and pandemic influenza. One way to improve early detection is to monitor health-seeking behaviour in the form of queries to online search engines, which are submitted by millions of users around the world each day. Here we present a method of analysing large numbers of Google search queries to track influenza-like illness in a population. Because the relative frequency of certain queries is highly correlated with the percentage of physician visits in which a patient presents with influenza-like symptoms, we can accurately estimate the current level of weekly influenza activity in each region of the United States, with a reporting lag of about one day. This approach may make it possible to use search queries to detect influenza epidemics in areas with a large population of web search users.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ginsberg, Jeremy -- Mohebbi, Matthew H -- Patel, Rajan S -- Brammer, Lynnette -- Smolinski, Mark S -- Brilliant, Larry -- England -- Nature. 2009 Feb 19;457(7232):1012-4. doi: 10.1038/nature07634.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Google Inc., 1600 Amphitheatre Parkway, Mountain View, California 94043, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19020500" target="_blank"〉PubMed〈/a〉
    Keywords: Centers for Disease Control and Prevention (U.S.) ; Databases, Factual ; *Health Behavior ; Health Education/*statistics & numerical data ; Humans ; Influenza, Human/diagnosis/*epidemiology/transmission/virology ; Internationality ; Internet/*utilization ; Linear Models ; Office Visits/statistics & numerical data ; Population Surveillance/*methods ; Reproducibility of Results ; Seasons ; Time Factors ; United States ; *User-Computer Interface
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  • 7
    Publication Date: 2008-05-16
    Description: Atmospheric methane is an important greenhouse gas and a sensitive indicator of climate change and millennial-scale temperature variability. Its concentrations over the past 650,000 years have varied between approximately 350 and approximately 800 parts per 10(9) by volume (p.p.b.v.) during glacial and interglacial periods, respectively. In comparison, present-day methane levels of approximately 1,770 p.p.b.v. have been reported. Insights into the external forcing factors and internal feedbacks controlling atmospheric methane are essential for predicting the methane budget in a warmer world. Here we present a detailed atmospheric methane record from the EPICA Dome C ice core that extends the history of this greenhouse gas to 800,000 yr before present. The average time resolution of the new data is approximately 380 yr and permits the identification of orbital and millennial-scale features. Spectral analyses indicate that the long-term variability in atmospheric methane levels is dominated by approximately 100,000 yr glacial-interglacial cycles up to approximately 400,000 yr ago with an increasing contribution of the precessional component during the four more recent climatic cycles. We suggest that changes in the strength of tropical methane sources and sinks (wetlands, atmospheric oxidation), possibly influenced by changes in monsoon systems and the position of the intertropical convergence zone, controlled the atmospheric methane budget, with an additional source input during major terminations as the retreat of the northern ice sheet allowed higher methane emissions from extending periglacial wetlands. Millennial-scale changes in methane levels identified in our record as being associated with Antarctic isotope maxima events are indicative of ubiquitous millennial-scale temperature variability during the past eight glacial cycles.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Loulergue, Laetitia -- Schilt, Adrian -- Spahni, Renato -- Masson-Delmotte, Valerie -- Blunier, Thomas -- Lemieux, Benedicte -- Barnola, Jean-Marc -- Raynaud, Dominique -- Stocker, Thomas F -- Chappellaz, Jerome -- England -- Nature. 2008 May 15;453(7193):383-6. doi: 10.1038/nature06950.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Laboratoire de Glaciologie et Geophysique de l'Environnement, CNRS-Universite Joseph Fourier Grenoble, 54 Rue Moliere, 38402 St Martin d'Heres, France.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18480822" target="_blank"〉PubMed〈/a〉
    Keywords: Atmosphere/*chemistry ; Greenhouse Effect ; History, Ancient ; Ice Cover ; Methane/*analysis ; Temperature ; Time Factors ; Tropical Climate ; Wetlands
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  • 8
    Publication Date: 2008-08-30
    Description: It is thought that the Northern Hemisphere experienced only ephemeral glaciations from the Late Eocene to the Early Pliocene epochs (about 38 to 4 million years ago), and that the onset of extensive glaciations did not occur until about 3 million years ago. Several hypotheses have been proposed to explain this increase in Northern Hemisphere glaciation during the Late Pliocene. Here we use a fully coupled atmosphere-ocean general circulation model and an ice-sheet model to assess the impact of the proposed driving mechanisms for glaciation and the influence of orbital variations on the development of the Greenland ice sheet in particular. We find that Greenland glaciation is mainly controlled by a decrease in atmospheric carbon dioxide during the Late Pliocene. By contrast, our model results suggest that climatic shifts associated with the tectonically driven closure of the Panama seaway, with the termination of a permanent El Nino state or with tectonic uplift are not large enough to contribute significantly to the growth of the Greenland ice sheet; moreover, we find that none of these processes acted as a priming mechanism for glacial inception triggered by variations in the Earth's orbit.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lunt, Daniel J -- Foster, Gavin L -- Haywood, Alan M -- Stone, Emma J -- England -- Nature. 2008 Aug 28;454(7208):1102-5. doi: 10.1038/nature07223.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉BRIDGE, School of Geographical Sciences, University of Bristol, University Road, Bristol BS8 1SS, UK. d.j.lunt@bristol.ac.uk〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18756254" target="_blank"〉PubMed〈/a〉
    Keywords: Atmosphere/*chemistry ; Carbon Dioxide/analysis/*metabolism ; Climate ; Greenland ; History, Ancient ; *Ice Cover ; North America ; Rain ; Time Factors
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  • 9
    Publication Date: 2008-07-25
    Description: Statistical dependencies in the responses of sensory neurons govern both the amount of stimulus information conveyed and the means by which downstream neurons can extract it. Although a variety of measurements indicate the existence of such dependencies, their origin and importance for neural coding are poorly understood. Here we analyse the functional significance of correlated firing in a complete population of macaque parasol retinal ganglion cells using a model of multi-neuron spike responses. The model, with parameters fit directly to physiological data, simultaneously captures both the stimulus dependence and detailed spatio-temporal correlations in population responses, and provides two insights into the structure of the neural code. First, neural encoding at the population level is less noisy than one would expect from the variability of individual neurons: spike times are more precise, and can be predicted more accurately when the spiking of neighbouring neurons is taken into account. Second, correlations provide additional sensory information: optimal, model-based decoding that exploits the response correlation structure extracts 20% more information about the visual scene than decoding under the assumption of independence, and preserves 40% more visual information than optimal linear decoding. This model-based approach reveals the role of correlated activity in the retinal coding of visual stimuli, and provides a general framework for understanding the importance of correlated activity in populations of neurons.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2684455/" 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/PMC2684455/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Pillow, Jonathan W -- Shlens, Jonathon -- Paninski, Liam -- Sher, Alexander -- Litke, Alan M -- Chichilnisky, E J -- Simoncelli, Eero P -- EY018003/EY/NEI NIH HHS/ -- R01 EY018003/EY/NEI NIH HHS/ -- R01 EY018003-01/EY/NEI NIH HHS/ -- R01 EY018003-02/EY/NEI NIH HHS/ -- R01 EY018003-03/EY/NEI NIH HHS/ -- England -- Nature. 2008 Aug 21;454(7207):995-9. doi: 10.1038/nature07140. Epub 2008 Jul 23.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Gatsby Computational Neuroscience Unit, UCL, 17 Queen Square, London WC1N 3AR, UK. pillow@gatsby.ucl.ac.uk〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18650810" target="_blank"〉PubMed〈/a〉
    Keywords: Action Potentials ; Animals ; Macaca mulatta/*physiology ; *Models, Neurological ; Photic Stimulation ; Retinal Ganglion Cells/*physiology ; Time Factors ; Vision, Ocular/*physiology
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  • 10
    Publication Date: 2008-07-11
    Description: Polo-like kinase-1 (PLK1) is an essential mitotic kinase regulating multiple aspects of the cell division process. Activation of PLK1 requires phosphorylation of a conserved threonine residue (Thr 210) in the T-loop of the PLK1 kinase domain, but the kinase responsible for this has not yet been affirmatively identified. Here we show that in human cells PLK1 activation occurs several hours before entry into mitosis, and requires aurora A (AURKA, also known as STK6)-dependent phosphorylation of Thr 210. We find that aurora A can directly phosphorylate PLK1 on Thr 210, and that activity of aurora A towards PLK1 is greatly enhanced by Bora (also known as C13orf34 and FLJ22624), a known cofactor for aurora A (ref. 7). We show that Bora/aurora-A-dependent phosphorylation is a prerequisite for PLK1 to promote mitotic entry after a checkpoint-dependent arrest. Importantly, expression of a PLK1-T210D phospho-mimicking mutant partially overcomes the requirement for aurora A in checkpoint recovery. Taken together, these data demonstrate that the initial activation of PLK1 is a primary function of aurora A.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Macurek, Libor -- Lindqvist, Arne -- Lim, Dan -- Lampson, Michael A -- Klompmaker, Rob -- Freire, Raimundo -- Clouin, Christophe -- Taylor, Stephen S -- Yaffe, Michael B -- Medema, Rene H -- CA112967/CA/NCI NIH HHS/ -- GM-60594/GM/NIGMS NIH HHS/ -- England -- Nature. 2008 Sep 4;455(7209):119-23. doi: 10.1038/nature07185. Epub 2008 Jul 9.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Medical Oncology, University Medical Center Utrecht, Utrecht 3584CG, The Netherlands.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18615013" target="_blank"〉PubMed〈/a〉
    Keywords: Aurora Kinase A ; Aurora Kinases ; Cell Cycle/*physiology ; Cell Cycle Proteins/genetics/*metabolism ; Cell Line ; DNA Damage ; Enzyme Activation ; Humans ; Mitosis ; Molecular Sequence Data ; Phosphorylation ; Phosphothreonine/metabolism ; Protein-Serine-Threonine Kinases/genetics/*metabolism ; Proto-Oncogene Proteins/genetics/*metabolism ; Time Factors
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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