Institute for Systems Biology , Seattle , Washington 98109 , United States.
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.
J Proteome Res. 2019 Dec 6;18(12):4108-4116. doi: 10.1021/acs.jproteome.9b00542. Epub 2019 Oct 21.
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.
人类蛋白质组组织(HUPO)的人类蛋白质组计划(HPP)制定了质谱(MS)数据解释指南,自 2016 年以来一直沿用至今。这些指南有助于确保新出现的完整人类蛋白质组草案具有高度准确性和低数量的假阳性蛋白质鉴定。在这里,我们根据过去一年与更广泛的 HPP 社区达成共识的讨论,描述了对这些指南的更新。修订后的 3.0 版指南解决了几个主要和次要的已确定差距。我们增加了针对新兴的数据独立获取(DIA)MS 工作流程和正在由 HUPO 蛋白质组学标准倡议(PSI)开发的新通用谱标识符(USI)系统的指南。此外,我们讨论了更新 HPP 收集 HPP 中所有蛋白质的 MS 证据的标准管道,包括对最小证据的改进。我们提出了一个新计划,即将 MassIVE-KB 纳入 HPP 管道,以便在未来(HPP 2020 周期)中获得更全面的公共 MS 数据集覆盖。主要检查表已根据标题和子项重新组织,相关指南已分组。总之,HPP MS 数据解释指南的 2.1 版运行良好,及时更新到 3.0 版将有助于 HPP 实现其收集和管理人类基因组编码的约 20000 个人类蛋白质的翻译和表达的 MS 证据的目标。