Nature2014-06-09 3:46 PM

人类蛋白质组  A draft map of the human proteome 

论文摘要


人类基因组草图已经发表十年多了,现在仍然没有与之直接相应的人类蛋白质组草图。但在本期Nature上,两个小组发表了对人体组织、体液和细胞所做的质谱分析,标绘了人类蛋白质组的绝大部分。Akhilesh Pandey及同事识别出17,294个蛋白编码基因,并通过表达分析提供了存在受组织限制和受细胞限制的蛋白的证据。通过从注解的假基因、非编码RNA和未翻译的区域识别翻译的蛋白,他们显示了“蛋白基因组”分析的重要性。他们的数据集可以在www.humanproteomemap.org这个网址获得。 


Bernhard Kuster及同事为“蛋白质组数据库”(ProteomicsDB,可在https://www.proteomicsdb.org/这个网址获得)中的18,097个基因获得了蛋白证据,展示了这种数据的用途—— 如用于识别数百个翻译的lincRNAs和对药物敏感的标记以及用于发现mRNA和组织中的蛋白水平之间的定量关系等。 

在本期Nature的其他地方,Vivien Marx报告了第三个大型蛋白质组项目,即基于抗体的“人类蛋白图集”(Human Protein Atlas)项目(http://www.proteinatlas.org/)。

Abstract 

The availability of human genome sequence has transformed biomedical research over the past decade. However, an equivalent map for the human proteome with direct measurements of proteins and peptides does not exist yet. Here we present a draft map of the human proteome using high-resolution Fourier-transform mass spectrometry. In-depth proteomic profiling of 30 histologically normal human samples, including 17 adult tissues, 7 fetal tissues and 6 purified primary haematopoietic cells, resulted in identification of proteins encoded by 17,294 genes accounting for approximately 84% of the total annotated protein-coding genes in humans. A unique and comprehensive strategy for proteogenomic analysis enabled us to discover a number of novel protein-coding regions, which includes translated pseudogenes, non-coding RNAs and upstream open reading frames. This large human proteome catalogue (available as an interactive web-based resource at http://www.humanproteomemap.org) will complement available human genome and transcriptome data to accelerate biomedical research in health and disease. 

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