Analysis of the Human Tissue-specific Expression by Genome-wide Integration of Transcriptomics and Antibody-based Proteomics
Analysis of the Human Tissue-specific Expression by Genome-wide Integration of Transcriptomics and Antibody-based Proteomics
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DOI：
10.1074/mcp.m113.035600
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发表时间：
2014-02-01
影响因子：
7
通讯作者：
Uhlen, Mathias
中科院分区：
文献类型：
--
作者：
Fagerberg, Linn;Hallstrom, Bjorn M.;Uhlen, Mathias
人类蛋白质跨器官和组织的空间表达模式的全局分类对于人类生物学和疾病的研究是重要的。在这里，我们使用定量转录组学分析（RNA-Seq）对所有主要人体器官和组织的代表性组中基因的组织特异性表达进行分类，并将该分析与相同组织的基于抗体的分析相结合。为了呈现这些数据，我们推出了一个新版本的人类蛋白质图谱，该图谱整合了与大约80%的人类蛋白质编码基因相对应的RNA和蛋白质表达数据，并可以访问单个基因水平上的RNA和蛋白质分析的原始数据。我们提出了一个人类蛋白质编码基因的组织特异性和空间表达模式的分类。整合的人类表达图谱可以作为探索人体分子组成的起点。
Global classification of the human proteins with regards to spatial expression patterns across organs and tissues is important for studies of human biology and disease. Here, we used a quantitative transcriptomics analysis (RNA-Seq) to classify the tissue-specific expression of genes across a representative set of all major human organs and tissues and combined this analysis with antibody-based profiling of the same tissues. To present the data, we launch a new version of the Human Protein Atlas that integrates RNA and protein expression data corresponding to approximate to 80% of the human protein-coding genes with access to the primary data for both the RNA and the protein analysis on an individual gene level. We present a classification of all human protein-coding genes with regards to tissue-specificity and spatial expression pattern. The integrative human expression map can be used as a starting point to explore the molecular constituents of the human body.