Abstract

Chemical cross-linking of proteins coupled with mass spectrometry analysis (CXMS) is widely used to study protein-protein interactions (PPI), protein structures, and even protein dynamics. However, structural information provided by CXMS is still limited, partly because most CXMS experiments use lysine-lysine (K-K) cross-linkers. Although superb in selectivity and reactivity, they are ineffective for lysine deficient regions. Herein, we develop aromatic glyoxal cross-linkers (ArGOs) for arginine-arginine (R-R) cross-linking and the lysine-arginine (K-R) cross-linker KArGO. The R-R or K-R cross-links generated by ArGO or KArGO fit well with protein crystal structures and provide information not attainable by K-K cross-links. KArGO, in particular, is highly valuable for CXMS, with robust performance on a variety of samples including a kinase and two multi-protein complexes. In the case of the CNGP complex, KArGO cross-links covered as much of the PPI interface as R-R and K-K cross-links combined and improved the accuracy of Rosetta docking substantially.

Details

Title
Improving mass spectrometry analysis of protein structures with arginine-selective chemical cross-linkers
Author
Jones, Alexander X 1 ; Cao, Yong 2   VIAFID ORCID Logo  ; Yu-Liang, Tang 1 ; Wang, Jian-Hua 3 ; Yue-He, Ding 3 ; Tan, Hui 1 ; Zhen-Lin, Chen 4 ; Run-Qian Fang 4 ; Yin, Jili 4 ; Rong-Chang, Chen 5 ; Zhu, Xing 5 ; Yang, She 3 ; Huang, Niu 3   VIAFID ORCID Logo  ; Shao, Feng 3   VIAFID ORCID Logo  ; Ye, Keqiong 5   VIAFID ORCID Logo  ; Rui-Xiang, Sun 3 ; Si-Min, He 4   VIAFID ORCID Logo  ; Lei, Xiaoguang 1   VIAFID ORCID Logo  ; Meng-Qiu, Dong 6   VIAFID ORCID Logo 

 Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Department of Chemical Biology, College of Chemistry and Molecular Engineering, Synthetic and Functional Biomolecules Center, and Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China 
 School of Life Sciences, Peking University, Beijing, China; National Institute of Biological Sciences (NIBS), Beijing, China 
 National Institute of Biological Sciences (NIBS), Beijing, China 
 Key Lab of Intelligent Information Processing, Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China; University of Chinese Academy of Sciences, Beijing, China 
 University of Chinese Academy of Sciences, Beijing, China; Key Laboratory of RNA Biology, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China 
 National Institute of Biological Sciences (NIBS), Beijing, China; Tsinghua Institute of Multidisciplinary Biomedical Research, Tsinghua University, Beijing, China 
Pages
1-11
Publication year
2019
Publication date
Sep 2019
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2283282433
Copyright
© 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.