通过共定位分析(COLA)相互作用组动力学的蛋白质组学分析†

IF 3.743 Q2 Biochemistry, Genetics and Molecular Biology
Faraz K. Mardakheh, Heba Z. Sailem, Sandra Kümper, Christopher J. Tape, Ryan R. McCully, Angela Paul, Sara Anjomani-Virmouni, Claus Jørgensen, George Poulogiannis, Christopher J. Marshall and Chris Bakal
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引用次数: 9

摘要

在真核生物中,定位和蛋白质功能密切相关,因为蛋白质被定位到特定的区室,在那里它们与其他功能相关的蛋白质接近。因此,两种蛋白质的显著共定位可以表明它们的功能关联。我们在这里提出COLA,一种基于蛋白质组学的策略,结合生物信息学框架,在全球范围内检测蛋白质-蛋白质共定位。COLA通过匹配亚细胞定位特征中具有显著相似性的蛋白质来揭示功能相互作用。COLA的快速特性允许在不同条件或处理之间以高精度映射相互作用组动力学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Proteomics profiling of interactome dynamics by colocalisation analysis (COLA)†

Proteomics profiling of interactome dynamics by colocalisation analysis (COLA)†

Localisation and protein function are intimately linked in eukaryotes, as proteins are localised to specific compartments where they come into proximity of other functionally relevant proteins. Significant co-localisation of two proteins can therefore be indicative of their functional association. We here present COLA, a proteomics based strategy coupled with a bioinformatics framework to detect protein–protein co-localisations on a global scale. COLA reveals functional interactions by matching proteins with significant similarity in their subcellular localisation signatures. The rapid nature of COLA allows mapping of interactome dynamics across different conditions or treatments with high precision.

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来源期刊
Molecular BioSystems
Molecular BioSystems 生物-生化与分子生物学
CiteScore
2.94
自引率
0.00%
发文量
0
审稿时长
2.6 months
期刊介绍: Molecular Omics publishes molecular level experimental and bioinformatics research in the -omics sciences, including genomics, proteomics, transcriptomics and metabolomics. We will also welcome multidisciplinary papers presenting studies combining different types of omics, or the interface of omics and other fields such as systems biology or chemical biology.
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