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小鼠器官和细胞器蛋白质表达的全球调查:蛋白质组学和转录组学联合分析

Global survey of organ and organelle protein expression in mouse: combined proteomic and transcriptomic profiling.

作者信息

Kislinger Thomas, Cox Brian, Kannan Anitha, Chung Clement, Hu Pingzhao, Ignatchenko Alexandr, Scott Michelle S, Gramolini Anthony O, Morris Quaid, Hallett Michael T, Rossant Janet, Hughes Timothy R, Frey Brendan, Emili Andrew

机构信息

Banting and Best Department of Medical Research, University of Toronto, Toronto, ON M5G 1L6, Canada.

出版信息

Cell. 2006 Apr 7;125(1):173-86. doi: 10.1016/j.cell.2006.01.044.

Abstract

Organs and organelles represent core biological systems in mammals, but the diversity in protein composition remains unclear. Here, we combine subcellular fractionation with exhaustive tandem mass spectrometry-based shotgun sequencing to examine the protein content of four major organellar compartments (cytosol, membranes [microsomes], mitochondria, and nuclei) in six organs (brain, heart, kidney, liver, lung, and placenta) of the laboratory mouse, Mus musculus. Using rigorous statistical filtering and machine-learning methods, the subcellular localization of 3274 of the 4768 proteins identified was determined with high confidence, including 1503 previously uncharacterized factors, while tissue selectivity was evaluated by comparison to previously reported mRNA expression patterns. This molecular compendium, fully accessible via a searchable web-browser interface, serves as a reliable reference of the expressed tissue and organelle proteomes of a leading model mammal.

摘要

器官和细胞器是哺乳动物的核心生物系统,但其蛋白质组成的多样性仍不清楚。在这里,我们将亚细胞分级分离与基于串联质谱的全基因组鸟枪法测序相结合,以检测实验室小鼠(小家鼠)六个器官(脑、心脏、肾、肝、肺和胎盘)中四个主要细胞器区室(胞质溶胶、膜[微粒体]、线粒体和细胞核)的蛋白质含量。通过严格的统计过滤和机器学习方法,对鉴定出的4768种蛋白质中的3274种进行了高可信度的亚细胞定位测定,其中包括1503个以前未表征的因子,同时通过与先前报道的mRNA表达模式进行比较来评估组织选择性。这个分子汇编可通过可搜索的网络浏览器界面完全访问,是一种领先模式哺乳动物的表达组织和细胞器蛋白质组的可靠参考。

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