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.
J Proteome Res. 2017 Dec 1;16(12):4281-4287. doi: 10.1021/acs.jproteome.7b00375. Epub 2017 Oct 9.
The Human Proteome Organization (HUPO) Human Proteome Project (HPP) continues to make progress on its two overall goals: (1) completing the protein parts list, with an annual update of the HUPO draft human proteome, and (2) making proteomics an integrated complement to genomics and transcriptomics throughout biomedical and life sciences research. neXtProt version 2017-01-23 has 17 008 confident protein identifications (Protein Existence [PE] level 1) that are compliant with the HPP Guidelines v2.1 ( https://hupo.org/Guidelines ), up from 13 664 in 2012-12 and 16 518 in 2016-04. Remaining to be found by mass spectrometry and other methods are 2579 "missing proteins" (PE2+3+4), down from 2949 in 2016. PeptideAtlas 2017-01 has 15 173 canonical proteins, accounting for nearly all of the 15 290 PE1 proteins based on MS data. These resources have extensive data on PTMs, single amino acid variants, and splice isoforms. The Human Protein Atlas v16 has 10 492 highly curated protein entries with tissue and subcellular spatial localization of proteins and transcript expression. Organ-specific popular protein lists have been generated for broad use in quantitative targeted proteomics using SRM-MS or DIA-SWATH-MS studies of biology and disease.
人类蛋白质组组织(HUPO)人类蛋白质组计划(HPP)继续在其两个总体目标上取得进展:(1)完成蛋白质部分清单,每年更新 HUPO 草案人类蛋白质组,以及(2)使蛋白质组学成为生物医学和生命科学研究中基因组学和转录组学的综合补充。neXtProt 版本 2017-01-23 有 17008 个置信蛋白鉴定(蛋白存在 [PE] 水平 1),符合 HPP 指南 v2.1(https://hupo.org/Guidelines),高于 2012-12 年的 13664 个和 2016-04 年的 16518 个。通过质谱等方法仍有待发现的是 2579 个“缺失蛋白”(PE2+3+4),低于 2016 年的 2949 个。PeptideAtlas 2017-01 有 15173 个规范蛋白,占基于 MS 数据的 15290 个 PE1 蛋白的近全部。这些资源具有广泛的 PTM、单个氨基酸变异和剪接异构体数据。人类蛋白质图谱 v16 有 10492 个高度编辑的蛋白条目,具有蛋白质和转录物表达的组织和亚细胞空间定位。已经生成了特定器官的流行蛋白列表,以便在使用 SRM-MS 或 DIA-SWATH-MS 进行生物学和疾病的定量靶向蛋白质组学研究中广泛使用。