Department of Pharmaceutical Chemistry & Bioanalytics, Institute of Pharmacy, Martin Luther University Halle-Wittenberg, Charles Tanford Center, Kurt-Mothes-Str. 3a, D-06120 Halle (Saale), Germany.
Institute for Biochemistry and Biotechnology, Charles-Tanford Protein Center, Kurt-Mothes-Str. 3a, Martin Luther University Halle-Wittenberg, D-06120 Halle (Saale), Germany.
Curr Opin Biotechnol. 2020 Jun;63:48-53. doi: 10.1016/j.copbio.2019.12.009. Epub 2019 Dec 28.
Just recently, chemical cross-linking combined with mass spectrometry (XL-MS) has emerged as valuable tool to study protein interaction networks on the system-wide level. The current challenges in XL-MS are to develop robust workflows enabling a comprehensive capture of dynamic biological assemblies in their native environment in a routine manner. In this review, we will highlight both the latest technological developments as well as selected applications of XL-MS for investigating protein networks in cells, organisms, and tissue. In addition, different bioinformatics tools for data analysis will be presented. In light of these exciting new developments, XL-MS can be expected to become one of the most versatile techniques to address important biological questions in a timely manner.
最近,化学交联结合质谱(XL-MS)已成为研究系统范围内蛋白质相互作用网络的有价值的工具。XL-MS 当前的挑战是开发稳健的工作流程,以常规方式在其天然环境中全面捕获动态生物组装体。在这篇综述中,我们将重点介绍 XL-MS 在研究细胞、生物体和组织中的蛋白质网络的最新技术发展和选定应用。此外,还将介绍用于数据分析的不同生物信息学工具。鉴于这些令人兴奋的新发展,XL-MS 有望成为及时解决重要生物学问题的最通用技术之一。