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人类可溶性蛋白复合物普查。

A census of human soluble protein complexes.

机构信息

Banting and Best Department of Medical Research, Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada.

出版信息

Cell. 2012 Aug 31;150(5):1068-81. doi: 10.1016/j.cell.2012.08.011.

DOI:10.1016/j.cell.2012.08.011
PMID:22939629
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3477804/
Abstract

Cellular processes often depend on stable physical associations between proteins. Despite recent progress, knowledge of the composition of human protein complexes remains limited. To close this gap, we applied an integrative global proteomic profiling approach, based on chromatographic separation of cultured human cell extracts into more than one thousand biochemical fractions that were subsequently analyzed by quantitative tandem mass spectrometry, to systematically identify a network of 13,993 high-confidence physical interactions among 3,006 stably associated soluble human proteins. Most of the 622 putative protein complexes we report are linked to core biological processes and encompass both candidate disease genes and unannotated proteins to inform on mechanism. Strikingly, whereas larger multiprotein assemblies tend to be more extensively annotated and evolutionarily conserved, human protein complexes with five or fewer subunits are far more likely to be functionally unannotated or restricted to vertebrates, suggesting more recent functional innovations.

摘要

细胞过程通常依赖于蛋白质之间稳定的物理联系。尽管最近取得了进展,但人类蛋白质复合物的组成知识仍然有限。为了弥补这一差距,我们应用了一种整合的全局蛋白质组学分析方法,基于培养的人细胞提取物的色谱分离,将其分成一千多个生化馏分,然后通过定量串联质谱进行分析,系统地鉴定了 3006 种稳定相关可溶性人类蛋白质之间的 13993 个高可信度物理相互作用网络。我们报告的 622 个假定蛋白质复合物中的大多数与核心生物过程有关,并包含候选疾病基因和未注释的蛋白质,以提供有关机制的信息。引人注目的是,尽管较大的多蛋白组装往往具有更广泛的注释和进化保守性,但具有五个或更少亚基的人类蛋白质复合物更有可能在功能上未注释或仅限于脊椎动物,这表明了更近期的功能创新。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b746/3477804/04844f1b7fce/nihms402232f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b746/3477804/8853025b2688/nihms402232f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b746/3477804/26f9d78baf19/nihms402232f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b746/3477804/373198de6d6c/nihms402232f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b746/3477804/08c5c55687b0/nihms402232f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b746/3477804/e09b05bc3560/nihms402232f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b746/3477804/21ae04a9b121/nihms402232f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b746/3477804/04844f1b7fce/nihms402232f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b746/3477804/8853025b2688/nihms402232f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b746/3477804/26f9d78baf19/nihms402232f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b746/3477804/373198de6d6c/nihms402232f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b746/3477804/08c5c55687b0/nihms402232f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b746/3477804/e09b05bc3560/nihms402232f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b746/3477804/21ae04a9b121/nihms402232f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b746/3477804/04844f1b7fce/nihms402232f7.jpg

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本文引用的文献

1
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2
RAD21 mutations cause a human cohesinopathy.RAD21 突变导致人类黏连蛋白病。
Am J Hum Genet. 2012 Jun 8;90(6):1014-27. doi: 10.1016/j.ajhg.2012.04.019. Epub 2012 May 24.
3
Improving GO semantic similarity measures by exploring the ontology beneath the terms and modelling uncertainty.通过探索术语下的本体和建模不确定性来改进 GO 语义相似性度量。
Bioinformatics. 2012 May 15;28(10):1383-9. doi: 10.1093/bioinformatics/bts129. Epub 2012 Apr 19.
4
Detecting overlapping protein complexes in protein-protein interaction networks.检测蛋白质-蛋白质相互作用网络中的重叠蛋白质复合物。
Nat Methods. 2012 Mar 18;9(5):471-2. doi: 10.1038/nmeth.1938.
5
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Mol Cell Proteomics. 2012 Mar;11(3):M111.014050. doi: 10.1074/mcp.M111.014050. Epub 2012 Jan 25.
6
Deep proteome and transcriptome mapping of a human cancer cell line.人类癌细胞系的深度蛋白质组和转录组图谱。
Mol Syst Biol. 2011 Nov 8;7:548. doi: 10.1038/msb.2011.81.
7
A protein complex network of Drosophila melanogaster.果蝇的蛋白质复合物网络。
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8
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10
Interactome networks and human disease.相互作用组网络与人类疾病。
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