<br>人类蛋白质组识别和表征的进展：HUPO 人类蛋白质组项目的 2019 年指标。,Journal of Proteome Research

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人类蛋白质组识别和表征的进展：HUPO 人类蛋白质组项目的 2019 年指标。
Journal of Proteome Research ( IF 3.8 ) Pub Date : 2019-09-13 , DOI: 10.1021/acs.jproteome.9b00434
Gilbert S Omenn _{1,

2} , Lydie Lane ₃ , Christopher M Overall ₄ , Fernando J Corrales ₅ , Jochen M Schwenk ₆ , Young-Ki Paik ₇ , Jennifer E Van Eyk ₈ , Siqi Liu ₉ , Stephen Pennington ₁₀ , Michael P Snyder ₁₁ , Mark S Baker ₁₂ , Eric W Deutsch ₂

Affiliation

Department of Computational Medicine and Bioinformatics , University of Michigan , 100 Washtenaw Avenue , Ann Arbor , Michigan 48109-2218 , United States.
Institute for Systems Biology , 401 Terry Avenue North , Seattle , Washington 98109-5263 , United States.
CALIPHO Group, SIB Swiss Institute of Bioinformatics and Department of Microbiology and Molecular Medicine, Faculty of Medicine , University of Geneva , CMU, Michel-Servet 1 , 1211 Geneva 4 , Switzerland.
Life Sciences Institute, Faculty of Dentistry , University of British Columbia , 2350 Health Sciences Mall, Room 4.401 , Vancouver , British Columbia V6T 1Z3 , Canada.
Centro Nacional de Biotecnologia (CSIC) , Darwin 3 , 28049 Madrid , Spain.
Science for Life Laboratory , KTH Royal Institute of Technology , Tomtebodavägen 23A , 17165 Solna , Sweden.
Yonsei Proteome Research Center , Yonsei University , Room 425, Building #114, 50 Yonsei-ro , Seodaemoon-ku , Seoul 120-749 , South Korea.
Advanced Clinical BioSystems Research Institute, Cedars Sinai Precision Biomarker Laboratories, Barbra Streisand Women's Heart Center , Cedars-Sinai Medical Center , Los Angeles , California 90048 , United States.
BGI Group-Shenzhen , Yantian District , Shenzhen 518083 , China.
School of Medicine , University College Dublin , Conway Institute Belfield , Dublin 4 , Ireland.
Department of Genetics , Stanford University , Alway Building, 300 Pasteur Drive and 3165 Porter Drive , Palo Alto , California 94304 , United States.
Department of Biomedical Sciences, Faculty of Medicine & Health Sciences , Macquarie University , 75 Talavera Road , North Ryde , NSW 2109 , Australia.

人类蛋白质组项目 (HPP) 每年报告整个领域在可靠地识别和表征完整的人类蛋白质部分列表以及使蛋白质组学成为医学和生命科学多组学研究不可或缺的一部分方面取得的进展。 NeXtProt 2019-01-11 版本包含 17 694 个蛋白质，具有强有力的蛋白质水平证据 (PE1)，符合 HPP MS 数据解释指南 v2.1；这些代表了所有 19 823 个 neXtProt 预测编码基因（所有 PE1、2、3、4 蛋白）的 89%，高于一年前的 17 470 个。相反，通过包括以染色体为中心的 HPP 在内的整个社区的努力，自 2016 年以来，被称为“缺失蛋白”(MP) 的 neXtProt PE2,3,4 蛋白的数量已从 2949 个减少到 2129 个。 PeptideAtlas 是 neXtProt 统一重新分析的原始质谱数据的来源； PeptideAtlas 在 2018 年至 2019 年间添加了 495 种典型蛋白质，尤其是来自旨在检测难以识别蛋白质的研究。与此同时，人类蛋白质图谱发布了 18.1 版，其中包含 17,000 种蛋白质表达的免疫组织化学证据以及生存图谱，作为病理学图谱的一部分。许多研究人员在各种人类疾病的研究中应用多重 SRM 靶向蛋白质组学来定量器官特异性流行蛋白质。生物学和疾病驱动的 B/D-HPP 的 19 个团队在 2018 年总共发表了 160 篇论文，将蛋白质组学引入了广泛的生物医学研究。

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Progress on Identifying and Characterizing the Human Proteome: 2019 Metrics from the HUPO Human Proteome Project.

The Human Proteome Project (HPP) annually reports on progress made throughout the field in credibly identifying and characterizing the complete human protein parts list and making proteomics an integral part of multiomics studies in medicine and the life sciences. NeXtProt release 2019–01–11 contains 17 694 proteins with strong protein-level evidence (PE1), compliant with HPP Guidelines for Interpretation of MS Data v2.1; these represent 89% of all 19 823 neXtProt predicted coding genes (all PE1,2,3,4 proteins), up from 17 470 one year earlier. Conversely, the number of neXtProt PE2,3,4 proteins, termed the “missing proteins” (MPs), has been reduced from 2949 to 2129 since 2016 through efforts throughout the community, including the chromosome-centric HPP. PeptideAtlas is the source of uniformly reanalyzed raw mass spectrometry data for neXtProt; PeptideAtlas added 495 canonical proteins between 2018 and 2019, especially from studies designed to detect hard-to-identify proteins. Meanwhile, the Human Protein Atlas has released version 18.1 with immunohistochemical evidence of expression of 17 000 proteins and survival plots as part of the Pathology Atlas. Many investigators apply multiplexed SRM-targeted proteomics for quantitation of organ-specific popular proteins in studies of various human diseases. The 19 teams of the Biology and Disease-driven B/D-HPP published a total of 160 publications in 2018, bringing proteomics to a broad array of biomedical research.

更新日期：2019-09-14

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