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RISS 인기검색어
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- 저자 : Jennifer L. Baker (검색결과 2 건)
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Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 3.0
Deutsch, Eric W.,Lane, Lydie,Overall, Christopher M.,Bandeira, Nuno,Baker, Mark S.,Pineau, Charles,Moritz, Robert L.,Corrales, Fernando,Orchard, Sandra,Van Eyk, Jennifer E.,Paik, Young-Ki,Weintraub, S American Chemical Society 2019 JOURNAL OF PROTEOME RESEARCH Vol.18 No.12
<P>The Human Proteome Organization’s (HUPO) Human Proteome Project (HPP) developed Mass Spectrometry (MS) Data Interpretation Guidelines that have been applied since 2016. These guidelines have helped ensure that the emerging draft of the complete human proteome is highly accurate and with low numbers of false-positive protein identifications. Here, we describe an update to these guidelines based on consensus-reaching discussions with the wider HPP community over the past year. The revised 3.0 guidelines address several major and minor identified gaps. We have added guidelines for emerging data independent acquisition (DIA) MS workflows and for use of the new Universal Spectrum Identifier (USI) system being developed by the HUPO Proteomics Standards Initiative (PSI). In addition, we discuss updates to the standard HPP pipeline for collecting MS evidence for all proteins in the HPP, including refinements to minimum evidence. We present a new plan for incorporating MassIVE-KB into the HPP pipeline for the next (HPP 2020) cycle in order to obtain more comprehensive coverage of public MS data sets. The main checklist has been reorganized under headings and subitems, and related guidelines have been grouped. In sum, Version 2.1 of the HPP MS Data Interpretation Guidelines has served well, and this timely update to version 3.0 will aid the HPP as it approaches its goal of collecting and curating MS evidence of translation and expression for all predicted ∼20 000 human proteins encoded by the human genome.</P> [FIG OMISSION]</BR>
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Early Life Body Size in Relation to First Intracerebral or Subarachnoid Hemorrhage
Line K. Gjærde,Thomas C. Truelsen,Thorkild I. A. Sørensen,Jennifer L. Baker 대한뇌졸중학회 2019 Journal of stroke Vol.21 No.1
Background and Purpose As risk of hemorrhagic stroke may have early life origins, we investigated associations of birth weight and childhood body mass index (BMI) with adult intracerebral hemorrhage (ICH) or subarachnoid hemorrhage (SAH). Methods We included 240,234 Danish schoolchildren, born 1936 to 1989, with information on birth weight and measured weights and heights from 7 to 13 years. We calculated hazard ratios (HRs) and confidence intervals (CIs) for the associations between early life anthropometrics and ICH or SAH, identified through linkage with national registers. Results During the study period, 1,947 individuals (39% women) experienced an ICH and 797 individuals (64% women) experienced a SAH. Per 500 g increase in birth weight, women had a 10% decreased risk of SAH (HR, 0.90; 95% CI, 0.83 to 0.97) and men had a 10% decreased risk of ICH (HR, 0.90; 95% CI, 0.85 to 0.95). Birth weight was not associated with risks of ICH in women or SAH in men. In men, a childhood BMI below average (BMI z-score <0) was associated with increased risks of ICH. The association was stronger at older childhood ages, and at 13 years a BMI z-score of –1 was associated with a HR of 1.17 (95% CI, 1.06 to 1.28), and a BMI z-score of –2 with a HR of 1.46 (95% CI, 1.17 to 1.82) for ICH. Childhood BMI was not associated with risks of ICH in women or with risks of SAH in both sexes. Conclusions Early life body size is associated with ICH and SAH, and the associations differ by sex.
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