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Sender's message: Sepsis or genomics or altitude: JKB_daily1
Sent on Wednesday, 2010 Mar 24Search (sepsis[MeSH Terms] OR septic shock[MeSH Terms] OR altitude[MeSH Terms] OR genomics[MeSH Terms] OR genetics[MeSH Terms] OR retrotransposons[MeSH Terms] OR macrophage[MeSH Terms]) AND ("2009/8/8"[Publication Date] : "3000"[Publication Date]) AND (("Science"[Journal] OR "Nature"[Journal] OR "The New England journal of medicine"[Journal] OR "Lancet"[Journal] OR "Nature genetics"[Journal] OR "Nature medicine"[Journal]) OR (Hume DA[Author] OR Baillie JK[Author] OR Faulkner, Geoffrey J[Author]))
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| PubMed Results |
| 1. | Nature. 2010 Feb 11;463(7282):763-8.Genome sequencing and analysis of the model grass Brachypodium distachyon.International Brachypodium Initiative.Collaborators: Vogel JP, Garvin DF, Mockler TC, Schmutz J, Rokhsar D, Bevan MW, Barry K, Lucas S, Harmon-Smith M, Lail K, Tice H, Schmutz J, Grimwood J, McKenzie N, Bevan MW, Huo N, Gu YQ, Lazo GR, Anderson OD, Vogel JP, You FM, Luo MC, Dvorak J, Wright J, Febrer M, Bevan MW, Idziak D, Hasterok R, Garvin DF, Lindquist E, Wang M, Fox SE, Priest HD, Filichkin SA, Givan SA, Bryant DW, Chang JH, Mockler TC, Wu H, Wu W, Hsia AP, Schnable PS, Kalyanaraman A, Barbazuk B, Michael TP, Hazen SP, Bragg JN, Laudencia-Chingcuanco D, Vogel JP, Garvin DF, Weng Y, McKenzie N, Bevan MW, Haberer G, Spannagl M, Mayer K, Rattei T, Mitros T, Rokhsar D, Lee SJ, Rose JK, Mueller LA, York TL, Wicker T, Buchmann JP, Tanskanen J, Schulman AH, Gundlach H, Wright J, Bevan M, de Oliveira AC, Maia Lda C, Belknap W, Gu YQ, Jiang N, Lai J, Zhu L, Ma J, Sun C, Pritham E, Salse J, Murat F, Abrouk M, Haberer G, Spannagl M, Mayer K, Bruggmann R, Messing J, You FM, Luo MC, Dvorak J, Fahlgren N, Fox SE, Sullivan CM, Mockler TC, Carrington JC, Chapman EJ, May GD, Zhai J, Ganssmann M, Gurazada SG, German M, Meyers BC, Green PJ, Bragg JN, Tyler L, Wu J, Gu YQ, Lazo GR, Laudencia-Chingcuanco D, Thomson J, Vogel JP, Hazen SP, Chen S, Scheller HV, Harholt J, Ulvskov P, Fox SE, Filichkin SA, Fahlgren N, Kimbrel JA, Chang JH, Sullivan CM, Chapman EJ, Carrington JC, Mockler TC, Bartley LE, Cao P, Jung KH, Sharma MK, Vega-Sanchez M, Ronald P, Dardick CD, De Bodt S, Verelst W, Inzé D, Heese M, Schnittger A, Yang X, Kalluri UC, Tuskan GA, Hua Z, Vierstra RD, Garvin DF, Cui Y, Ouyang S, Sun Q, Liu Z, Yilmaz A, Grotewold E, Sibout R, Hematy K, Mouille G, Höfte H, Michael T, Pelloux J, O'Connor D, Schnable J, Rowe S, Harmon F, Cass CL, Sedbrook JC, Byrne ME, Walsh S, Higgins J, Bevan M, Li P, Brutnell T, Unver T, Budak H, Belcram H, Charles M, Chalhoub B, Baxter I. USDA-ARS Western Regional Research Center, Albany, California 94710, USA. Three subfamilies of grasses, the Ehrhartoideae, Panicoideae and Pooideae, provide the bulk of human nutrition and are poised to become major sources of renewable energy. Here we describe the genome sequence of the wild grass Brachypodium distachyon (Brachypodium), which is, to our knowledge, the first member of the Pooideae subfamily to be sequenced. Comparison of the Brachypodium, rice and sorghum genomes shows a precise history of genome evolution across a broad diversity of the grasses, and establishes a template for analysis of the large genomes of economically important pooid grasses such as wheat. The high-quality genome sequence, coupled with ease of cultivation and transformation, small size and rapid life cycle, will help Brachypodium reach its potential as an important model system for developing new energy and food crops. |
| PMID: 20148030 [PubMed - indexed for MEDLINE] | |
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| 2. | Nature. 2010 Feb 11;463(7282):757-62.Ancient human genome sequence of an extinct Palaeo-Eskimo.Rasmussen M, Li Y, Lindgreen S, Pedersen JS, Albrechtsen A, Moltke I, Metspalu M, Metspalu E, Kivisild T, Gupta R, Bertalan M, Nielsen K, Gilbert MT, Wang Y, Raghavan M, Campos PF, Kamp HM, Wilson AS, Gledhill A, Tridico S, Bunce M, Lorenzen ED, Binladen J, Guo X, Zhao J, Zhang X, Zhang H, Li Z, Chen M, Orlando L, Kristiansen K, Bak M, Tommerup N, Bendixen C, Pierre TL, Grønnow B, Meldgaard M, Andreasen C, Fedorova SA, Osipova LP, Higham TF, Ramsey CB, Hansen TV, Nielsen FC, Crawford MH, Brunak S, Sicheritz-Pontén T, Villems R, Nielsen R, Krogh A, Wang J, Willerslev E.Centre for GeoGenetics, Natural History Museum of Denmark and Department of Biology, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen, Denmark. Comment in: We report here the genome sequence of an ancient human. Obtained from approximately 4,000-year-old permafrost-preserved hair, the genome represents a male individual from the first known culture to settle in Greenland. Sequenced to an average depth of 20x, we recover 79% of the diploid genome, an amount close to the practical limit of current sequencing technologies. We identify 353,151 high-confidence single-nucleotide polymorphisms (SNPs), of which 6.8% have not been reported previously. We estimate raw read contamination to be no higher than 0.8%. We use functional SNP assessment to assign possible phenotypic characteristics of the individual that belonged to a culture whose location has yielded only trace human remains. We compare the high-confidence SNPs to those of contemporary populations to find the populations most closely related to the individual. This provides evidence for a migration from Siberia into the New World some 5,500 years ago, independent of that giving rise to the modern Native Americans and Inuit. |
| PMID: 20148029 [PubMed - indexed for MEDLINE] | |
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| 3. | Nature. 2010 Feb 11;463(7282):739-40.Evolutionary biology: Face of the past reconstructed.Lambert DM, Huynen L.Comment on: |
| PMID: 20148020 [PubMed - indexed for MEDLINE] | |
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| 4. | Nature. 2010 Feb 11;463(7282):724-5.Palaeogenetics: Icy resolve.Dalton R. |
| PMID: 20148008 [PubMed - indexed for MEDLINE] | |
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| 5. | Lancet. 2010 Mar 6;375(9717):834-45. Epub 2010 Feb 2.Diagnostic value of clinical features at presentation to identify serious infection in children in developed countries: a systematic review.Van den Bruel A, Haj-Hassan T, Thompson M, Buntinx F, Mant D; European Research Network on Recognising Serious Infection investigators.Collaborators: Van den Bruel A, Thompson M, Buntinx F, Mant D, Haj-Hassan T, Oostenbrink R, Moll H, Aertgeerts B, Lakhanpaul M. Department of General Practice, Katholieke Universiteit Leuven, Leuven, Belgium. ann.vandenbruel@med.kuleuven.be Comment in: BACKGROUND: Our aim was to identify which clinical features have value in confirming or excluding the possibility of serious infection in children presenting to ambulatory care settings in developed countries. METHODS: In this systematic review, we searched electronic databases (Medline, Embase, DARE, CINAHL), reference lists of relevant studies, and contacted experts to identify articles assessing clinical features of serious infection in children. 1939 potentially relevant studies were identified. Studies were selected on the basis of six criteria: design (studies of diagnostic accuracy or prediction rules), participants (otherwise healthy children aged 1 month to 18 years), setting (ambulatory care), outcome (serious infection), features assessed (assessable in ambulatory care setting), and sufficient data reported. Quality assessment was based on the Quality Assessment of Diagnostic Accuracy Studies criteria. We calculated likelihood ratios for the presence (positive likelihood ratio) or absence (negative likelihood ratio) of each clinical feature and pre-test and post-test probabilities of the outcome. Clinical features with a positive likelihood ratio of more than 5.0 were deemed red flags (ie, warning signs for serious infection); features with a negative likelihood ratio of less than 0.2 were deemed rule-out signs. FINDINGS: 30 studies were included in the analysis. Cyanosis (positive likelihood ratio range 2.66-52.20), rapid breathing (1.26-9.78), poor peripheral perfusion (2.39-38.80), and petechial rash (6.18-83.70) were identified as red flags in several studies. Parental concern (positive likelihood ratio 14.40, 95% CI 9.30-22.10) and clinician instinct (positive likelihood ratio 23.50, 95 % CI 16.80-32.70) were identified as strong red flags in one primary care study. Temperature of 40 degrees C or more has value as a red flag in settings with a low prevalence of serious infection. No single clinical feature has rule-out value but some combinations can be used to exclude the possibility of serious infection-for example, pneumonia is very unlikely (negative likelihood ratio 0.07, 95% CI 0.01-0.46) if the child is not short of breath and there is no parental concern. The Yale Observation Scale had little value in confirming (positive likelihood ratio range 1.10-6.70) or excluding (negative likelihood ratio range 0.16-0.97) the possibility of serious infection. INTERPRETATION: The red flags for serious infection that we identified should be used routinely, but serious illness will still be missed without effective use of precautionary measures. We now need to identify the level of risk at which clinical action should be taken. FUNDING: Health Technology Assessment and National Institute for Health Research National School for Primary Care Research. Copyright 2010 Elsevier Ltd. All rights reserved. |
| PMID: 20132979 [PubMed - indexed for MEDLINE] | |
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