Cleavable Cross-Linker for Protein Structure Analysis: Reliable Identification of Cross-Linking Products by Tandem MS

Cleavable Cross-Linker for Protein Structure Analysis: Reliable Identification of Cross-Linking Products by Tandem MS
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DOI:
10.1021/ac101241t
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发表时间:
2010-08-15
影响因子:
7.4
通讯作者:
Sinz, Andrea
Sinz, Andrea
中科院分区:
化学1区
文献类型:
--
作者:
Mueller, Mathias Q.;Dreiocker, Frank;Sinz, Andrea

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Chemical cross-linking combined with a subsequent enzymatic cleavage of the created cross-linked complex and a mass spectrometric analysis of the resulting crosslinked peptide mixture presents an alternative approach to high-resolution analysis, such as NMR spectroscopy or X-ray crystallography, to obtain low-resolution protein structures and to gain insight into protein interfaces. Here, we describe a novel urea-based cross-linker, which allows distinguishing different cross-linking products by collision-induced dissociation (CID) tandem MS experiments based on characteristic product ions and constant neutral losses. The novel cross-linker is part of our ongoing efforts in developing collision-induced dissociative reagents that allow an efficient analysis of cross-linked proteins and protein complexes. Our innovative analytical concept is exemplified for the Munc13-1 peptide and the recombinantly expressed ligand binding domain of the peroxisome proliferator-activated receptor a, for which cross-linking reaction mixtures were analyzed both by offline nano-HPLC/MALDI-TOF/TOF mass spectrometry and by online nano-HPLC/nano-ESI-LTQ-orbitrap mass spectrometry. The characteristic fragment ion patterns of the novel cross-linker greatly simplify the identification of different cross-linked species, namely, modified peptides as well as intrapeptide and interpeptide cross-links, from complex mixtures and drastically reduce the potential of identifying false-positive cross-links. Our novel urea-based CID cleavable cross-linker is expected to be highly advantageous for analyzing protein 3D structures and protein-protein complexes in an automated manner.