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蛋白质-蛋白质相互作用与遗传疾病:相互作用组

Protein-protein interactions and genetic diseases: The interactome.

作者信息

Lage Kasper

机构信息

Department of Surgery and Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; The Broad Institute of MIT and Harvard, Cambridge, MA, USA.

出版信息

Biochim Biophys Acta. 2014 Oct;1842(10):1971-1980. doi: 10.1016/j.bbadis.2014.05.028. Epub 2014 Jun 2.

DOI:10.1016/j.bbadis.2014.05.028
PMID:24892209
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4165798/
Abstract

Protein-protein interactions mediate essentially all biological processes. Despite the quality of these data being widely questioned a decade ago, the reproducibility of large-scale protein interaction data is now much improved and there is little question that the latest screens are of high quality. Moreover, common data standards and coordinated curation practices between the databases that collect the interactions have made these valuable data available to a wide group of researchers. Here, I will review how protein-protein interactions are measured, collected and quality controlled. I discuss how the architecture of molecular protein networks has informed disease biology, and how these data are now being computationally integrated with the newest genomic technologies, in particular genome-wide association studies and exome-sequencing projects, to improve our understanding of molecular processes perturbed by genetics in human diseases. This article is part of a Special Issue entitled: From Genome to Function.

摘要

蛋白质-蛋白质相互作用几乎介导了所有的生物过程。尽管这些数据的质量在十年前受到广泛质疑,但现在大规模蛋白质相互作用数据的可重复性有了很大提高,最新的筛选结果具有高质量已几乎没有疑问。此外,收集相互作用数据的数据库之间通用的数据标准和协调的管理实践,使得这些有价值的数据可供广大研究人员使用。在此,我将回顾蛋白质-蛋白质相互作用是如何被测量、收集和质量控制的。我将讨论分子蛋白质网络的架构如何为疾病生物学提供信息,以及这些数据现在如何与最新的基因组技术,特别是全基因组关联研究和外显子测序项目进行计算整合,以增进我们对人类疾病中受遗传学干扰的分子过程的理解。本文是名为“从基因组到功能”的特刊的一部分。

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