a Yonsei Proteome Research Center and Department of Biochemistry , Yonsei University , Seoul , Korea.
b Department of Computational Medicine & Bioinformatics , University of Michigan , Ann Arbor , MI , USA.
Expert Rev Proteomics. 2017 Dec;14(12):1059-1071. doi: 10.1080/14789450.2017.1394189. Epub 2017 Nov 10.
The mission of the Chromosome-Centric Human Proteome Project (C-HPP), is to map and annotate the entire predicted human protein set (~20,000 proteins) encoded by each chromosome. The initial steps of the project are focused on 'missing proteins (MPs)', which lacked documented evidence for existence at protein level. In addition to remaining 2,579 MPs, we also target those annotated proteins having unknown functions, uPE1 proteins, alternative splice isoforms and post-translational modifications. We also consider how to investigate various protein functions involved in cis-regulatory phenomena, amplicons lncRNAs and smORFs. Areas covered: We will cover the scope, historic background, progress, challenges and future prospects of C-HPP. This review also addresses the question of how we can best improve the methodological approaches, select the optimal biological samples, and recommend stringent protocols for the identification and characterization of MPs. A new strategy for functional analysis of some of those annotated proteins having unknown function will also be discussed. Expert commentary: If the project moves well by reshaping the original goals, the current working modules and team work in the proposed extended planning period, it is anticipated that a progressively more detailed draft of an accurate chromosome-based proteome map will become available with functional information.
染色体中心人类蛋白质组计划(C-HPP)的任务是绘制和注释每条染色体编码的整个预测人类蛋白质组(~20000 种蛋白质)。该项目的初始步骤集中在“缺失蛋白(MPs)”上,这些蛋白在蛋白质水平上缺乏存在的有文件证明。除了剩余的 2579 个 MPs 外,我们还针对那些注释为具有未知功能、uPE1 蛋白、可变剪接异构体和翻译后修饰的蛋白。我们还考虑了如何研究涉及顺式调控现象、扩增子 lncRNA 和 smORF 的各种蛋白质功能。涵盖领域:我们将涵盖 C-HPP 的范围、历史背景、进展、挑战和未来前景。这篇综述还讨论了如何最好地改进方法学方法、选择最佳生物样本,并为 MPs 的鉴定和表征推荐严格的方案。还将讨论一种用于分析那些具有未知功能的注释蛋白的新功能分析策略。专家评论:如果该项目通过重塑原始目标、在提议的扩展规划期内调整当前的工作模块和团队合作顺利进行,预计将逐步提供更详细的、具有功能信息的准确基于染色体的蛋白质组图谱草案。