小柯机器人

蛋白质组共调控图谱可鉴定蛋白质功能
2019-11-05 14:34

英国爱丁堡大学Juri Rappsilber及其研究组绘制出人类蛋白质组的共调控图谱,其可用于鉴定蛋白质功能。2019年11月4日,《自然—生物技术》杂志在线发表了该研究成果。

为了鉴定蛋白质之间的关系,从而对蛋白质进行功能注释,研究人员使用同位素标记质谱法确定了294种生物扰动后10323种人类蛋白质的丰度变化。研究人员应用了机器学习算法treeClust来揭示来自ProteomeHD的共调控人类蛋白质之间的功能关联(ProteomeHD是研究人员的数据和来自Proteomics Identifications数据库的数据集集合)。这产生了人类蛋白质组的共调控图谱。共调节能够捕获没有物理相互作用或共定位的蛋白质之间的关系。例如,过氧化物酶体膜蛋白PEX11β与线粒体呼吸因子的共同调节使研究人员发现了哺乳动物细胞中过氧化物酶体与线粒体之间的细胞器界面。研究人员还预测了用传统方法难以研究的微蛋白的功能。共调节图谱可以在www.proteomeHD.net上浏览。

据了解,解析真核细胞中大量蛋白质的功能仍然具有挑战性。

附:英文原文

Title: Co-regulation map of the human proteome enables identification of protein functions

Author: Georg Kustatscher, Piotr Grabowski, Tina A. Schrader, Josiah B. Passmore, Michael Schrader, Juri Rappsilber

Issue&Volume: 2019-11-04

Abstract: Assigning functions to the vast array of proteins present in eukaryotic cells remains challenging. To identify relationships between proteins, and thereby enable functional annotation of proteins, we determined changes in abundance of 10,323 human proteins in response to 294 biological perturbations using isotope-labeling mass spectrometry. We applied the machine learning algorithm treeClust to reveal functional associations between co-regulated human proteins from ProteomeHD, a compilation of our own data and datasets from the Proteomics Identifications database. This produced a co-regulation map of the human proteome. Co-regulation was able to capture relationships between proteins that do not physically interact or colocalize. For example, co-regulation of the peroxisomal membrane protein PEX11β with mitochondrial respiration factors led us to discover an organelle interface between peroxisomes and mitochondria in mammalian cells. We also predicted the functions of microproteins that are difficult to study with traditional methods. The co-regulation map can be explored at www.proteomeHD.net.

DOI: 10.1038/s41587-019-0298-5

Source: https://www.nature.com/articles/s41587-019-0298-5

Nature Biotechnology:《自然—生物技术》,创刊于1996年。隶属于施普林格·自然出版集团,最新IF:68.164
官方网址:https://www.nature.com/nbt/
投稿链接:https://mts-nbt.nature.com/cgi-bin/main.plex


本期文章:《自然—生物技术》:Online/在线发表

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