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哺乳动物蛋白质复合物化学计量的时空变化。

Spatiotemporal variation of mammalian protein complex stoichiometries.

作者信息

Ori Alessandro, Iskar Murat, Buczak Katarzyna, Kastritis Panagiotis, Parca Luca, Andrés-Pons Amparo, Singer Stephan, Bork Peer, Beck Martin

机构信息

European Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany.

Present address: Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), Jena, Germany.

出版信息

Genome Biol. 2016 Mar 14;17:47. doi: 10.1186/s13059-016-0912-5.

DOI:10.1186/s13059-016-0912-5
PMID:26975353
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4791834/
Abstract

BACKGROUND

Recent large-scale studies revealed cell-type specific proteomes. However, protein complexes, the basic functional modules of a cell, have been so far mostly considered as static entities with well-defined structures. The co-expression of their members has not been systematically charted at the protein level.

RESULTS

We used measurements of protein abundance across 11 cell types and five temporal states to analyze the co-expression and the compositional variations of 182 well-characterized protein complexes. We show that although the abundance of protein complex members is generally co-regulated, a considerable fraction of all investigated protein complexes is subject to stoichiometric changes. Compositional variation is most frequently seen in complexes involved in chromatin regulation and cellular transport, and often involves paralog switching as a mechanism for the regulation of complex stoichiometry. We demonstrate that compositional signatures of variable protein complexes have discriminative power beyond individual cell states and can distinguish cancer cells from healthy ones.

CONCLUSIONS

Our work demonstrates that many protein complexes contain variable members that cause distinct stoichometries and functionally fine-tune complexes spatiotemporally. Only a fraction of these compositional variations is mediated by changes in transcription and other mechanisms regulating protein abundance contribute to determine protein complex stoichiometries. Our work highlights the superior power of proteome profiles to study protein complexes and their variants across cell states.

摘要

背景

近期的大规模研究揭示了细胞类型特异性蛋白质组。然而,蛋白质复合物作为细胞的基本功能模块,迄今为止大多被视为具有明确结构的静态实体。其成员在蛋白质水平上的共表达尚未得到系统描绘。

结果

我们利用对11种细胞类型和5种时间状态下蛋白质丰度的测量,分析了182种特征明确的蛋白质复合物的共表达及组成变化。我们发现,尽管蛋白质复合物成员的丰度通常受到共同调节,但所有研究的蛋白质复合物中有相当一部分存在化学计量变化。组成变化最常出现在参与染色质调控和细胞运输的复合物中,并且常常涉及旁系同源物切换,作为调节复合物化学计量的一种机制。我们证明,可变蛋白质复合物的组成特征具有超越单个细胞状态的判别能力,能够区分癌细胞和健康细胞。

结论

我们的研究表明,许多蛋白质复合物包含可变成员,这些成员导致不同的化学计量,并在时空上对复合物进行功能微调。这些组成变化中只有一小部分是由转录变化介导的,其他调节蛋白质丰度的机制也有助于确定蛋白质复合物的化学计量。我们的研究突出了蛋白质组图谱在研究跨细胞状态的蛋白质复合物及其变体方面的强大优势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c991/4791834/ca11b28a6a4d/13059_2016_912_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c991/4791834/005ffd9a6eec/13059_2016_912_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c991/4791834/459ebe3b9a87/13059_2016_912_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c991/4791834/112fa705376a/13059_2016_912_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c991/4791834/07de2e3005e0/13059_2016_912_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c991/4791834/8f53b93c485f/13059_2016_912_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c991/4791834/ca11b28a6a4d/13059_2016_912_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c991/4791834/005ffd9a6eec/13059_2016_912_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c991/4791834/459ebe3b9a87/13059_2016_912_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c991/4791834/112fa705376a/13059_2016_912_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c991/4791834/07de2e3005e0/13059_2016_912_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c991/4791834/8f53b93c485f/13059_2016_912_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c991/4791834/ca11b28a6a4d/13059_2016_912_Fig6_HTML.jpg

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