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Xlink-Identifier: An Automated Data Analysis Platform for Confident Identifications of Chemically Cross-linked Peptides using Tandem Mass Spectrometry

Identifieur interne : 000457 ( Pmc/Checkpoint ); précédent : 000456; suivant : 000458

Xlink-Identifier: An Automated Data Analysis Platform for Confident Identifications of Chemically Cross-linked Peptides using Tandem Mass Spectrometry

Auteurs : Xiuxia Du [États-Unis] ; Saiful M. Chowdhury [États-Unis] ; Nathan P. Manes [États-Unis] ; Si Wu [États-Unis] ; M. Uljana Mayer [États-Unis] ; Joshua N. Adkins [États-Unis] ; Gordon A. Anderson [États-Unis] ; Richard D. Smith [États-Unis]

Source :

RBID : PMC:3048902

Abstract

Chemical cross-linking combined with mass spectrometry provides a powerful method for identifying protein-protein interactions and probing the structure of protein complexes. A number of strategies have been reported that take advantage of the high sensitivity and high resolution of modern mass spectrometers. Approaches typically include synthesis of novel cross-linking compounds, and/or isotopic labelling of the cross-linking reagent and/or protein, and label-free methods. We report Xlink-Identifier, a comprehensive data analysis platform that has been developed to support label-free analyses. It can identify inter-peptide, intra-peptide, and deadend cross-links as well as underivatized peptides. The software streamlines data pre-processing, peptide scoring, and visualization and provides an overall data analysis strategy for studying protein-protein interactions and protein structure using mass spectrometry. The software has been evaluated using a custom synthesized cross-linking reagent that features an enrichment tag. Xlink-Identifier offers the potential to perform large-scale identifications of protein-protein interactions using tandem mass spectrometry.


Url:
DOI: 10.1021/pr100848a
PubMed: 21175198
PubMed Central: 3048902


Affiliations:


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Le document en format XML

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<p id="P1">Chemical cross-linking combined with mass spectrometry provides a powerful method for identifying protein-protein interactions and probing the structure of protein complexes. A number of strategies have been reported that take advantage of the high sensitivity and high resolution of modern mass spectrometers. Approaches typically include synthesis of novel cross-linking compounds, and/or isotopic labelling of the cross-linking reagent and/or protein, and label-free methods. We report Xlink-Identifier, a comprehensive data analysis platform that has been developed to support label-free analyses. It can identify inter-peptide, intra-peptide, and deadend cross-links as well as underivatized peptides. The software streamlines data pre-processing, peptide scoring, and visualization and provides an overall data analysis strategy for studying protein-protein interactions and protein structure using mass spectrometry. The software has been evaluated using a custom synthesized cross-linking reagent that features an enrichment tag. Xlink-Identifier offers the potential to perform large-scale identifications of protein-protein interactions using tandem mass spectrometry.</p>
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<given-names>Xiuxia</given-names>
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<surname>Chowdhury</surname>
<given-names>Saiful M.</given-names>
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<given-names>Nathan P.</given-names>
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<surname>Wu</surname>
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Department of Bioinformatics & Genomics, University of North Carolina at Charlotte, Charlotte, NC 28023, USA</aff>
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Pacific Northwest National Laboratory, Richland, WA 99352, USA</aff>
<aff id="A3">
<label>3</label>
National Institute of Allergy and Infectious Diseases, Bethesda, MD 20892, USA</aff>
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National Institute of Environmental Health Sciences – National Institutes of Health, Research Triangle Park, NC 27709, USA</aff>
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To whom correspondence should be addressed. Xiuxia Du, 500 Laureate Way, Suite 2350, Kannapolis, NC 28081, Phone: (704) 250-5754, Fax: (704) 250-5759,
<email>xiuxia.du@uncc.edu</email>
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<abstract>
<p id="P1">Chemical cross-linking combined with mass spectrometry provides a powerful method for identifying protein-protein interactions and probing the structure of protein complexes. A number of strategies have been reported that take advantage of the high sensitivity and high resolution of modern mass spectrometers. Approaches typically include synthesis of novel cross-linking compounds, and/or isotopic labelling of the cross-linking reagent and/or protein, and label-free methods. We report Xlink-Identifier, a comprehensive data analysis platform that has been developed to support label-free analyses. It can identify inter-peptide, intra-peptide, and deadend cross-links as well as underivatized peptides. The software streamlines data pre-processing, peptide scoring, and visualization and provides an overall data analysis strategy for studying protein-protein interactions and protein structure using mass spectrometry. The software has been evaluated using a custom synthesized cross-linking reagent that features an enrichment tag. Xlink-Identifier offers the potential to perform large-scale identifications of protein-protein interactions using tandem mass spectrometry.</p>
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<contract-num rid="RR1">P41 RR018522-09 ||RR</contract-num>
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