Science for Life Laboratory, KTH-Royal Institute of Technology, SE-171 21 Stockholm, Sweden. Department of Proteomics, KTH-Royal Institute of Technology, SE-106 91 Stockholm, Sweden. Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, DK-2970 Hørsholm, Denmark.
Science for Life Laboratory, KTH-Royal Institute of Technology, SE-171 21 Stockholm, Sweden.
Science. 2015 Jan 23;347(6220):1260419. doi: 10.1126/science.1260419.
Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray-based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body.
解析人体不同组织和器官中蛋白质组的分子细节将极大地增进我们对人类生物学和疾病的认识。在这里,我们基于一种整合的组学方法,呈现了一张人类组织蛋白质组图谱。该方法涉及组织和器官水平的定量转录组学,结合基于组织微阵列的免疫组织化学,实现了蛋白质的空间定位,精确到单细胞水平。我们的基于组织的分析检测到了超过 90%的假定蛋白编码基因。我们使用这种方法来探索人类分泌组、膜蛋白质组、可成药蛋白质组、癌症蛋白质组和 32 种不同组织和器官中的代谢功能。所有数据都整合在一个交互式的基于网络的数据库中,允许探索个体蛋白质,并在人体所有主要组织和器官中进行全局表达模式的导航。