From the ‡Division of Infection Medicine, Department of Clinical Sciences, Lund University, Lund, Sweden
From the ‡Division of Infection Medicine, Department of Clinical Sciences, Lund University, Lund, Sweden.
Mol Cell Proteomics. 2018 Jun;17(6):1055-1066. doi: 10.1074/mcp.R116.061663. Epub 2017 Apr 7.
Cross-linking mass spectrometry (CLMS) provides distance constraints to study the structure of proteins, multiprotein complexes and protein-protein interactions which are critical for the understanding of protein function. CLMS is an attractive technology to bridge the gap between high-resolution structural biology techniques and proteomic-based interactome studies. However, as outlined in this review there are still several bottlenecks associated with CLMS which limit its application on a proteome-wide level. Specifically, there is an unmet need for comprehensive software that can reliably identify cross-linked peptides from large data sets. In this review we provide supporting information to reason that targeted proteomics of cross-links may provide the required sensitivity to reliably detect and quantify cross-linked peptides and that a reporter ion signature for cross-linked peptides may become a useful approach to increase confidence in the identification process of cross-linked peptides. In addition, the review summarizes the recent advances in CLMS workflows using the analysis of condensin complex in intact chromosomes as a model complex.
交联质谱（CLMS）提供了距离约束，用于研究蛋白质、多蛋白复合物和蛋白质-蛋白质相互作用的结构，这些对于理解蛋白质功能至关重要。CLMS 是一种有吸引力的技术，可以弥合高分辨率结构生物学技术和基于蛋白质组学的互作组学研究之间的差距。然而，正如本文综述所概述的，CLMS 仍然存在几个限制其在全蛋白质组水平上应用的瓶颈。具体来说，人们迫切需要一种全面的软件，能够从大型数据集可靠地识别交联肽。在这篇综述中，我们提供了支持信息来证明靶向交联蛋白质组学可能提供了所需的灵敏度，可以可靠地检测和定量交联肽，并且交联肽的报告离子特征可能成为一种有用的方法，以提高交联肽鉴定过程的可信度。此外，该综述总结了使用完整染色体中凝聚复合物的分析作为模型复合物的 CLMS 工作流程的最新进展。
