人类蛋白质组计划
蛋白质组
计算生物学
生物
基因
蛋白质组学
计算机科学
生物信息学
生物化学
作者
Mathias Uhlén,Linn Fagerberg,Björn M. Hallström,Cecilia Lindskog,Per Oksvold,Adil Mardinoğlu,Åsa Sivertsson,Caroline Kampf,Evelina Sjöstedt,Anna Asplund,Ing‐Marie Olsson,Karolina Edlund,Emma Lundberg,Sanjay Navani,Cristina Al‐Khalili Szigyarto,Jacob Odeberg,Dijana Djureinovic,Jenny Ottosson Takanen,Sophia Hober,Tove Alm
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2015-01-22
卷期号:347 (6220)
被引量:13094
标识
DOI:10.1126/science.1260419
摘要
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.
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