1] McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA [2] Department of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA.
Institute of Bioinformatics, International Tech Park, Bangalore 560066, India.
Nature. 2014 May 29;509(7502):575-81. doi: 10.1038/nature13302.
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.
人类基因组序列的出现改变了过去十年的生物医学研究。然而,目前还没有直接测量蛋白质和肽的人类蛋白质组的等效图谱。在这里,我们使用高分辨率傅里叶变换质谱法呈现了人类蛋白质组的草图。对 30 个组织学正常的人类样本(包括 17 种成人组织、7 种胎儿组织和 6 种纯化的原始造血细胞)进行深入的蛋白质组学分析,鉴定出了 17294 个基因编码的蛋白质,约占人类总注释蛋白编码基因的 84%。一种独特而全面的蛋白质基因组分析策略使我们能够发现许多新的蛋白质编码区域,包括翻译假基因、非编码 RNA 和上游开放阅读框。这个大型的人类蛋白质组目录(可作为交互式网络资源在 http://www.humanproteomemap.org 上获取)将补充现有的人类基因组和转录组数据,以加速健康和疾病领域的生物医学研究。