Abstract

Chemical cross-linking coupled with mass spectroscopy (CXMS) is a powerful technique for investigating protein structures. CXMS has been mostly used to characterize the predominant structure for a protein, whereas cross-links incompatible with a unique structure of a protein or a protein complex are often discarded. We have recently shown that the so-called over-length cross-links actually contain protein dynamics information. We have thus established a method called DynaXL, which allow us to extract the information from the over-length cross-links and to visualize protein ensemble structures. In this protocol, we present the detailed procedure for using DynaXL, which comprises five steps. They are identification of highly confident cross-links, delineation of protein domains/subunits, ensemble rigid-body refinement, and final validation/assessment. The DynaXL method is generally applicable for analyzing the ensemble structures of multi-domain proteins and protein–protein complexes, and is freely available at www.tanglab.org/resources.

Details

Title
Protocol for analyzing protein ensemble structures from chemical cross-links using DynaXL
Author
Zhou, Gong 1 ; Liu, Zhu 2 ; Xu, Dong 1 ; Yue-He, Ding 3 ; Meng-Qiu, Dong 4 ; Tang, Chun 1 

 Wuhan Institute of Physics and Mathematics of the Chinese Academy of Sciences, CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, and National Center for Magnetic Resonance at Wuhan, Wuhan, China (GRID:grid.458518.5) (ISNI:0000 0004 1803 4970); Wuhan Institute of Physics and Mathematics of the Chinese Academy of Sciences, National Center for Magnetic Resonance at Wuhan, Wuhan, China (GRID:grid.458518.5) (ISNI:0000 0004 1803 4970) 
 Zhejiang University School of Medicine, Department of Pharmacology, Institute of Neuroscience, Key Laboratory of Medical Neurobiology of the Ministry of Health of China, Hangzhou, China (GRID:grid.13402.34) (ISNI:0000 0004 1759 700X) 
 University of Massachusetts Medical School, RNA Therapeutics Institute, Worcester, USA (GRID:grid.168645.8) (ISNI:0000 0001 0742 0364) 
 National Institute of Biological Sciences, Beijing, China (GRID:grid.410717.4) (ISNI:0000 0004 0644 5086) 
Pages
100-108
Publication year
2017
Publication date
Dec 2017
Publisher
Institute of Biophysics
ISSN
23643439
e-ISSN
23643420
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2404396452
Copyright
© The Author(s) 2017. 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.