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结合定量蛋白质组学和相互作用组学以更深入洞察人类细胞系之间的分子差异

Combining Quantitative Proteomics and Interactomics for a Deeper Insight into Molecular Differences between Human Cell Lines.

作者信息

Bakhtina Anna A, Wippel Helisa H, Chavez Juan D, Bruce James E

机构信息

Department of Genome Sciences, University of Washington, Seattle, Washington 98195, United States.

出版信息

J Proteome Res. 2024 Dec 6;23(12):5360-5371. doi: 10.1021/acs.jproteome.4c00503. Epub 2024 Oct 25.

DOI:10.1021/acs.jproteome.4c00503
PMID:39453897
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11867029/
Abstract

In modern biomedical research, cultivable cell lines are an indispensable tool, and the selection of cell lines that exhibit specific functional profiles is often critical to success. Cellular functional pathways have evolved through the selection of protein intra- and intermolecular interactions collectively referred to as the interactome. In the present work, quantitative in vivo protein cross-linking and mass spectrometry were used to probe large-scale protein interactome differences among three commonly employed human cell lines, namely, HEK293, MCF-7, and HeLa cells. These data illustrated highly reproducible quantitative interactome levels with values larger than 0.8 for all biological replicates. Proteome abundance levels were also measured using data-independent acquisition quantitative proteomics methods. Combining quantitative interactome and proteome information allowed the visualization of cell type-specific interactome changes mediated by proteome level adaptations and independently regulated interactome changes to gain deeper insight into possible drivers of these changes. Among the largest detected alterations in protein interactions and conformations are changes in cytoskeletal proteins, RNA-binding proteins, chromatin remodeling complexes, mitochondrial proteins, and others. Overall, these data demonstrate the utility and reproducibility of quantitative cross-linking to study system-level interactome variations. Moreover, these results illustrate how combined quantitative interactomics and proteomics can provide unique insight into cellular functional landscapes.

摘要

在现代生物医学研究中,可培养细胞系是一种不可或缺的工具,选择具有特定功能特征的细胞系往往对研究成功至关重要。细胞功能通路是通过选择统称为相互作用组的蛋白质分子内和分子间相互作用而进化而来的。在本研究中,采用体内蛋白质定量交联和质谱技术来探究三种常用人类细胞系(即HEK293、MCF-7和HeLa细胞)之间大规模蛋白质相互作用组的差异。这些数据表明,所有生物学重复的定量相互作用组水平具有高度可重复性,相关系数大于0.8。蛋白质组丰度水平也使用数据非依赖采集定量蛋白质组学方法进行了测量。结合定量相互作用组和蛋白质组信息,可以可视化由蛋白质组水平适应性介导的细胞类型特异性相互作用组变化以及独立调节的相互作用组变化,从而更深入地了解这些变化的可能驱动因素。在检测到的蛋白质相互作用和构象的最大变化中,有细胞骨架蛋白、RNA结合蛋白、染色质重塑复合物、线粒体蛋白等的变化。总体而言,这些数据证明了定量交联在研究系统水平相互作用组变异方面的实用性和可重复性。此外,这些结果说明了联合定量相互作用组学和蛋白质组学如何能够为细胞功能景观提供独特的见解。

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