What's new for 'JKB_daily1' in PubMed
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Sender's message: Sepsis or genomics or altitude: JKB_daily1
Sent on Tuesday, 2014 July 08Search: (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. 2014 May 29;509(7502):S68. doi: 10.1038/509S68a.Perspective: Learning to share.Quackenbush J.Author information: |
PMID: 24870827 [PubMed - indexed for MEDLINE] | |
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2. | Nature. 2014 May 29;509(7502):S52-4. doi: 10.1038/509S52a.Therapy: This time it's personal.Gravitz L. |
PMID: 24870820 [PubMed - indexed for MEDLINE] | |
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3. | Nature. 2014 May 29;509(7502):582-7. doi: 10.1038/nature13319.Mass-spectrometry-based draft of the human proteome.Wilhelm M1, Schlegl J2, Hahne H3, Moghaddas Gholami A3, Lieberenz M4, Savitski MM5, Ziegler E4, Butzmann L4, Gessulat S4, Marx H6, Mathieson T5, Lemeer S6, Schnatbaum K7, Reimer U7, Wenschuh H7, Mollenhauer M8, Slotta-Huspenina J8, Boese JH4, Bantscheff M5, Gerstmair A4, Faerber F4, Kuster B9.Author information: AbstractProteomes are characterized by large protein-abundance differences, cell-type- and time-dependent expression patterns and post-translational modifications, all of which carry biological information that is not accessible by genomics or transcriptomics. Here we present a mass-spectrometry-based draft of the human proteome and a public, high-performance, in-memory database for real-time analysis of terabytes of big data, called ProteomicsDB. The information assembled from human tissues, cell lines and body fluids enabled estimation of the size of the protein-coding genome, and identified organ-specific proteins and a large number of translated lincRNAs (long intergenic non-coding RNAs). Analysis of messenger RNA and protein-expression profiles of human tissues revealed conserved control of protein abundance, and integration of drug-sensitivity data enabled the identification of proteins predicting resistance or sensitivity. The proteome profiles also hold considerable promise for analysing the composition and stoichiometry of protein complexes. ProteomicsDB thus enables navigation of proteomes, provides biological insight and fosters the development of proteomic technology. |
PMID: 24870543 [PubMed - indexed for MEDLINE] | |
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4. | Nature. 2014 May 29;509(7502):575-81. doi: 10.1038/nature13302.A draft map of the human proteome.Kim MS1, Pinto SM2, Getnet D3, Nirujogi RS2, Manda SS2, Chaerkady R1, Madugundu AK2, Kelkar DS2, Isserlin R4, Jain S4, Thomas JK2, Muthusamy B2, Leal-Rojas P5, Kumar P2, Sahasrabuddhe NA2, Balakrishnan L2, Advani J2, George B2, Renuse S2, Selvan LD2, Patil AH2, Nanjappa V2, Radhakrishnan A2, Prasad S6, Subbannayya T2, Raju R2, Kumar M2, Sreenivasamurthy SK2, Marimuthu A2, Sathe GJ2, Chavan S2, Datta KK2, Subbannayya Y2, Sahu A2, Yelamanchi SD2, Jayaram S2, Rajagopalan P2, Sharma J2, Murthy KR2, Syed N2, Goel R2, Khan AA2, Ahmad S2, Dey G2, Mudgal K7, Chatterjee A2, Huang TC6, Zhong J6, Wu X1, Shaw PG6, Freed D6, Zahari MS8, Mukherjee KK9, Shankar S10, Mahadevan A11, Lam H12, Mitchell CJ6, Shankar SK11, Satishchandra P13, Schroeder JT14, Sirdeshmukh R2, Maitra A15, Leach SD16, Drake CG17, Halushka MK18, Prasad TS2, Hruban RH15, Kerr CL19, Bader GD4, Iacobuzio-Donahue CA20, Gowda H2, Pandey A21.Author information: AbstractThe availability of human genome sequence has transformed biomedical research over the past decade. However, an equivalent map for the human proteome with direct measurements of proteins and peptides does not exist yet. Here we present a draft map of the human proteome using high-resolution Fourier-transform mass spectrometry. In-depth proteomic profiling of 30 histologically normal human samples, including 17 adult tissues, 7 fetal tissues and 6 purified primary haematopoietic cells, resulted in identification of proteins encoded by 17,294 genes accounting for approximately 84% of the total annotated protein-coding genes in humans. A unique and comprehensive strategy for proteogenomic analysis enabled us to discover a number of novel protein-coding regions, which includes translated pseudogenes, non-coding RNAs and upstream open reading frames. This large human proteome catalogue (available as an interactive web-based resource at http://www.humanproteomemap.org) will complement available human genome and transcriptome data to accelerate biomedical research in health and disease. |
PMID: 24870542 [PubMed - indexed for MEDLINE] | |
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5. | Nature. 2014 May 29;509(7502):612-6. doi: 10.1038/nature13377. Epub 2014 May 21.Bacterial phylogeny structures soil resistomes across habitats.Forsberg KJ1, Patel S2, Gibson MK3, Lauber CL4, Knight R5, Fierer N6, Dantas G7.Author information: Comment in
AbstractAncient and diverse antibiotic resistance genes (ARGs) have previously been identified from soil, including genes identical to those in human pathogens. Despite the apparent overlap between soil and clinical resistomes, factors influencing ARG composition in soil and their movement between genomes and habitats remain largely unknown. General metagenome functions often correlate with the underlying structure of bacterial communities. However, ARGs are proposed to be highly mobile, prompting speculation that resistomes may not correlate with phylogenetic signatures or ecological divisions. To investigate these relationships, we performed functional metagenomic selections for resistance to 18 antibiotics from 18 agricultural and grassland soils. The 2,895 ARGs we discovered were mostly new, and represent all major resistance mechanisms. We demonstrate that distinct soil types harbour distinct resistomes, and that the addition of nitrogen fertilizer strongly influenced soil ARG content. Resistome composition also correlated with microbial phylogenetic and taxonomic structure, both across and within soil types. Consistent with this strong correlation, mobility elements (genes responsible for horizontal gene transfer between bacteria such as transposases and integrases) syntenic with ARGs were rare in soil by comparison with sequenced pathogens, suggesting that ARGs may not transfer between soil bacteria as readily as is observed between human pathogens. Together, our results indicate that bacterial community composition is the primary determinant of soil ARG content, challenging previous hypotheses that horizontal gene transfer effectively decouples resistomes from phylogeny. |
PMID: 24847883 [PubMed - indexed for MEDLINE] | |
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