Department of Computational Biology, Cornell University, New York, USA.
Weill Institute for Cell and Molecular Biology, Cornell University, New York, USA.
Proteomics. 2021 Dec;21(23-24):e2100145. doi: 10.1002/pmic.202100145. Epub 2021 Oct 28.
Deciphering the interaction networks and structural dynamics of proteins is pivotal to better understanding their biological functions. Cross-linking mass spectrometry (XL-MS) is a powerful and increasingly popular technology that provides information about protein-protein interactions and their structural constraints for individual proteins and multiprotein complexes on a proteome-scale. In this review, we first assess the coverage and depth of the XL-MS technique by utilizing publicly available datasets. We then delve into the progress in XL-MS experimental and computational methodologies and examine different quality-control strategies reported in the literature. Finally, we discuss the progress in XL-MS applications along with the scope for future improvements.
解析蛋白质的相互作用网络和结构动态对于更好地理解它们的生物学功能至关重要。交联质谱(XL-MS)是一种强大且日益流行的技术,可提供有关单个蛋白质和多蛋白复合物在蛋白质组范围内的蛋白质-蛋白质相互作用及其结构约束的信息。在这篇综述中,我们首先利用公开可用的数据集评估 XL-MS 技术的覆盖范围和深度。然后,我们深入探讨 XL-MS 实验和计算方法学的进展,并研究文献中报道的不同质量控制策略。最后,我们讨论了 XL-MS 应用的进展以及未来改进的范围。