Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/74819
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Type: Journal article
Title: A negative ion mass spectrometry approach to identify cross-linked peptides utilizing characteristic disulfide fragmentations
Author: Calabrese, A.
Good, N.
Wang, T.
He, J.
Bowie, J.
Pukala, T.
Citation: Journal of the American Society for Mass Spectrometry, 2012; 23(8):1364-1375
Publisher: Elsevier Science
Issue Date: 2012
ISSN: 1044-0305
1879-1123
Statement of
Responsibility: 
Antonio N. Calabrese, Nikki J. Good, Tianfang Wang, Jingjia He, John H. Bowie, Tara L. Pukala
Abstract: Chemical cross-linking combined with mass spectrometry (MS) is an analytical tool used to elucidate the topologies of proteins and protein complexes. However, identification of the low abundance cross-linked peptides and modification sites amongst a large quantity of proteolytic fragments remains challenging. In this work, we present a strategy to identify cross-linked peptides by negative ion MS for the first time. This approach is based around the facile cleavages of disulfide bonds in the negative mode, and allows identification of cross-linked products based on their characteristic fragmentations. MS(3) analysis of the cross-linked peptides allows for their sequencing and identification, with residue specific location of cross-linking sites. We demonstrate the applicability of the commercially available cystine based cross-linking reagent dithiobis(succinimidyl) propionate (DSP) and identify cross-linked peptides from ubiquitin. In each instance, the characteristic fragmentation behavior of the cross-linked species is described. The data presented here indicate that this negative ion approach may be a useful tool to characterize the structures of proteins and protein complexes, and provides the basis for the development of high throughput negative ion MS chemical cross-linking strategies.
Keywords: Negative ion mass spectrometry
Chemical cross-linking
Disulfide fragmentations
Protein structure determination
Rights: © Springer, Part of Springer Science+Business Media
DOI: 10.1007/s13361-012-0407-x
Grant ID: http://purl.org/au-research/grants/arc/DP1093143
Published version: http://dx.doi.org/10.1007/s13361-012-0407-x
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