Institute for Biochemistry and Biotechnology, Charles Tanford Protein Center , Martin Luther University Halle-Wittenberg , Kurt-Mothes-Strasse 3a , D-06120 Halle (Saale) , Germany.
Department of Pharmaceutical Chemistry & Bioanalytics, Institute of Pharmacy, Charles Tanford Protein Center , Martin Luther University Halle-Wittenberg , Kurt-Mothes-Strasse 3a , D-06120 Halle (Saale) , Germany.
Anal Chem. 2019 Aug 6;91(15):10236-10244. doi: 10.1021/acs.analchem.9b02372. Epub 2019 Jul 19.
We present a cross-linking/mass spectrometry workflow for performing proteome-wide cross-linking analyses within 1 week. The workflow is based on the commercially available mass spectrometry-cleavable cross-linker disuccinimidyl dibutyric urea and can be employed by every lab having access to a mass spectrometer with tandem mass spectrometry capabilities. We provide an updated version 2.0 of the freeware software tool MeroX, available at www.StavroX.com , that allows us to conduct fully automated and reliable studies delivering insights into protein-protein interaction networks and protein conformations at the proteome level. We exemplify our optimized workflow for mapping protein-protein interaction networks in embryos on a system-wide level. From cross-linked embryo extracts, we detected 29931 cross-link spectrum matches corresponding to 7436 unique cross-linked residues in biological triplicate experiments at a 1% false discovery rate. Among these, 1611 interprotein cross-linking sites were identified and yielded valuable information about protein-protein interactions. The 5825 remaining intraprotein cross-links yield information about the conformational landscape of proteins in their cellular environment.
我们提出了一种在 1 周内进行蛋白质组范围交联分析的交联/质谱工作流程。该工作流程基于市售的质谱可裂解交联剂二琥珀酰亚胺基二丁酸脲,可以被每个拥有串联质谱功能的质谱仪的实验室采用。我们提供了免费软件工具 MeroX 的更新版本 2.0,可在 www.StavroX.com 上获得,该工具使我们能够进行全自动和可靠的研究,深入了解蛋白质-蛋白质相互作用网络和蛋白质构象在蛋白质组水平上。我们举例说明了我们在系统范围内优化的胚胎蛋白质-蛋白质相互作用网络作图工作流程。从交联的胚胎提取物中,我们在生物学三重复实验中检测到了 29931 个交联谱匹配,对应于 7436 个独特的交联残基,假发现率为 1%。其中,鉴定出 1611 个蛋白间交联位点,为蛋白质-蛋白质相互作用提供了有价值的信息。其余 5825 个蛋白内交联提供了有关其细胞环境中蛋白质构象景观的信息。