计算生物学
蛋白质组学
规范化(社会学)
蛋白质-蛋白质相互作用
质谱法
亲和层析
生物
化学
基因
生物化学
色谱法
酶
人类学
社会学
作者
Prashant Kaushal,Manisha R Ummadi,Gwendolyn Μ. Jang,Yennifer Delgado,Sara K Makanani,Sophie F Blanc,Decan M Winters,Jiewei Xu,Benjamin J. Polacco,Yuan Zhou,Erica Stevenson,Manon Eckhardt,Lorena Zuliani-Alvarez,Robyn M. Kaake,Danielle L. Swaney,Nevan Krogan,Mehdi Bouhaddou
出处
期刊:PubMed
[National Institutes of Health]
日期:2024-05-15
标识
DOI:10.48550/arxiv.2405.09699
摘要
Proteins congregate into complexes to perform fundamental cellular functions. Phenotypic outcomes, in health and disease, are often mechanistically driven by the remodeling of protein complexes by protein-coding mutations or cellular signaling changes in response to molecular cues. Here, we present an affinity purification-mass spectrometry (APMS) proteomics protocol to quantify and visualize global changes in protein-protein interaction (PPI) networks between pairwise conditions. We describe steps for expressing affinity-tagged "bait" proteins in mammalian cells, identifying purified protein complexes, quantifying differential PPIs, and visualizing differential PPI networks. Specifically, this protocol details steps for designing affinity-tagged "bait" gene constructs, transfection, affinity purification, mass spectrometry sample preparation, data acquisition, database search, data quality control, PPI confidence scoring, cross-run normalization, statistical data analysis, and differential PPI visualization. Our protocol discusses caveats and limitations with applicability across cell types and biological areas. For complete details on the use and execution of this protocol, please refer to Bouhaddou et al. 20231.
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