Department of Physiology & Biophysics, University of California, Irvine, Irvine, CA 92697, USA.
Department of Physiology & Biophysics, University of California, Irvine, Irvine, CA 92697, USA.
Curr Opin Chem Biol. 2023 Oct;76:102357. doi: 10.1016/j.cbpa.2023.102357. Epub 2023 Jul 3.
Elucidating protein-protein interaction (PPI) networks and their structural features within cells is central to understanding fundamental biology and associations of cell phenotypes with human pathologies. Owing to technological advancements during the last decade, cross-linking mass spectrometry (XL-MS) has become an enabling technology for delineating interaction landscapes of proteomes as they exist in living systems. XL-MS is unique due to its capability to simultaneously capture PPIs from native environments and uncover interaction contacts though identification of cross-linked peptides, thereby permitting the determination of both identity and connectivity of PPIs in cells. In combination with high resolution structural tools such as cryo-electron microscopy and AI-assisted prediction, XL-MS has contributed significantly to elucidating architectures of large protein assemblies. This review highlights the latest developments in XL-MS technologies and their applications in proteome-wide analysis to advance structural systems biology.
阐明细胞内的蛋白质-蛋白质相互作用(PPI)网络及其结构特征对于理解基础生物学以及细胞表型与人类病理学的关联至关重要。由于过去十年的技术进步,交联质谱(XL-MS)已成为描绘蛋白质组在活系统中存在的相互作用图谱的一种可行技术。XL-MS 的独特之处在于其能够从天然环境中同时捕获 PPI,并通过鉴定交联肽来揭示相互作用接触,从而能够确定细胞中 PPI 的身份和连接性。与冷冻电子显微镜等高分辨率结构工具以及人工智能辅助预测相结合,XL-MS 极大地促进了大蛋白质组装结构的阐明。本文综述了 XL-MS 技术的最新进展及其在蛋白质组全分析中的应用,以推进结构系统生物学的发展。