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公共领域中的定量蛋白质组学数据:挑战与机遇

Quantitative Proteomics Data in the Public Domain: Challenges and Opportunities.

作者信息

Jarnuczak Andrew F, Ternent Tobias, Vizcaíno Juan Antonio

机构信息

European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, UK.

出版信息

Methods Mol Biol. 2019;1977:217-235. doi: 10.1007/978-1-4939-9232-4_14.

Abstract

Mass spectrometry based proteomics is no longer only a qualitative discipline, and can be successfully employed to obtain a truly multidimensional view of the proteome. In particular, systematic protein expression profiling is now a routine part of many studies in the field and beyond. The large growth in the number of quantitative studies is accompanied by a trend to share publicly the associated analysis results and the underlying raw data. This trend, established and strongly supported by public repositories such as the PRIDE database at the European Bioinformatics Institute, opens up enormous possibilities to explore the data beyond the original publications, for instance by reusing, reanalyzing, and performing different flavors of meta-analysis studies. To help researchers and scientists realize about this potential, here we describe the mainstream public proteomics resources containing quantitative proteomics data, including the processed analysis results and/or the underlying raw data. We then present and discuss the most important points to consider when attempting to (re)use proteomics data in the public domain. We conclude by highlighting potential pitfalls of (re)using quantitative data and discuss some of our own experiences in this context.

摘要

基于质谱的蛋白质组学不再仅仅是一门定性学科,它能够成功地用于获取蛋白质组的真正多维视图。特别是,系统的蛋白质表达谱分析如今已成为该领域及其他领域许多研究的常规组成部分。定量研究数量的大幅增长伴随着公开分享相关分析结果和基础原始数据的趋势。由欧洲生物信息学研究所的PRIDE数据库等公共资源库确立并大力支持的这一趋势,为在原始出版物之外探索数据开辟了巨大可能性,例如通过重用、重新分析以及开展不同类型的荟萃分析研究。为帮助研究人员和科学家认识到这一潜力,在此我们描述了包含定量蛋白质组学数据的主流公共蛋白质组学资源,包括处理后的分析结果和/或基础原始数据。然后我们阐述并讨论在公共领域尝试(重新)使用蛋白质组学数据时需要考虑的最重要要点。我们通过强调(重新)使用定量数据的潜在陷阱并讨论我们在此方面的一些自身经验来作总结。

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