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XLPM: efficient algorithm for the analysis of protein-protein contacts using chemical cross-linking mass spectrometry

BACKGROUND: Chemical cross-linking is used for protein-protein contacts mapping and for structural analysis. One of the difficulties in cross-linking studies is the analysis of mass-spectrometry data and the assignment of the site of cross-link incorporation. The difficulties are due to higher charg...

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Autores principales: Jaiswal, Mihir, Crabtree, Nathaniel Mark, Bauer, Michael A, Hall, Roger, Raney, Kevin D, Zybailov, Boris L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4251045/
https://www.ncbi.nlm.nih.gov/pubmed/25350700
http://dx.doi.org/10.1186/1471-2105-15-S11-S16
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author Jaiswal, Mihir
Crabtree, Nathaniel Mark
Bauer, Michael A
Hall, Roger
Raney, Kevin D
Zybailov, Boris L
author_facet Jaiswal, Mihir
Crabtree, Nathaniel Mark
Bauer, Michael A
Hall, Roger
Raney, Kevin D
Zybailov, Boris L
author_sort Jaiswal, Mihir
collection PubMed
description BACKGROUND: Chemical cross-linking is used for protein-protein contacts mapping and for structural analysis. One of the difficulties in cross-linking studies is the analysis of mass-spectrometry data and the assignment of the site of cross-link incorporation. The difficulties are due to higher charges of fragment ions, and to the overall low-abundance of cross-link species in the background of linear peptides. Cross-linkers non-specific at one end, such as photo-inducible diazirines, may complicate the analysis further. In this report, we design and validate a novel cross-linked peptide mapping algorithm (XLPM) and compare it to StavroX, which is currently one of the best algorithms in this class. RESULTS: We have designed a novel cross-link search algorithm -XLPM - and implemented it both as an online tool and as a downloadable archive of scripts. We designed a filter based on an observation that observation of a b-ion implies observation of a complimentary y-ion with high probability (b-y filter). We validated the b-y filter on the set of linear peptides from NIST library, and demonstrate that it is an effective way to find high-quality mass spectra. Next, we generated cross-linked data from an ssDNA binding protein, Rim1with a specific cross-linker disuccinimidyl suberate, and a semi-specific cross-linker NHS-Diazirine, followed by analysis of the cross-linked products by nanoLC-LTQ-Orbitrap mass spectrometry. The cross-linked data were searched by XLPM and StavroX and the performance of the two algorithms was compared. The cross-links were mapped to the X-ray structure of Rim1 tetramer. Analysis of the mixture of NHS-Diazirine cross-linked (15)N and (14)N-labeled Rim1 tetramers yielded (15)N-labeled to (14)N-labeled cross-linked peptide pairs, corresponding to C-terminus-to-N-terminus cross-linking, demonstrating interaction between different two Rim1 tetramers. Both XLPM and StavroX were successful in identification of this interaction, with XLPM leading to a better annotation of higher-charged fragments. We also put forward a new method of estimating specificity and sensitivity of identification of a cross-linked residue in the case of a non-specific cross-linker. CONCLUSIONS: The novel cross-link mapping algorithm, XLPM, considerably improves the speed and accuracy of the analysis compared to other methods. The quality selection filter based on b-to-y ions ratio proved to be an effective way to select high quality cross-linked spectra.
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spelling pubmed-42510452014-12-02 XLPM: efficient algorithm for the analysis of protein-protein contacts using chemical cross-linking mass spectrometry Jaiswal, Mihir Crabtree, Nathaniel Mark Bauer, Michael A Hall, Roger Raney, Kevin D Zybailov, Boris L BMC Bioinformatics Proceedings BACKGROUND: Chemical cross-linking is used for protein-protein contacts mapping and for structural analysis. One of the difficulties in cross-linking studies is the analysis of mass-spectrometry data and the assignment of the site of cross-link incorporation. The difficulties are due to higher charges of fragment ions, and to the overall low-abundance of cross-link species in the background of linear peptides. Cross-linkers non-specific at one end, such as photo-inducible diazirines, may complicate the analysis further. In this report, we design and validate a novel cross-linked peptide mapping algorithm (XLPM) and compare it to StavroX, which is currently one of the best algorithms in this class. RESULTS: We have designed a novel cross-link search algorithm -XLPM - and implemented it both as an online tool and as a downloadable archive of scripts. We designed a filter based on an observation that observation of a b-ion implies observation of a complimentary y-ion with high probability (b-y filter). We validated the b-y filter on the set of linear peptides from NIST library, and demonstrate that it is an effective way to find high-quality mass spectra. Next, we generated cross-linked data from an ssDNA binding protein, Rim1with a specific cross-linker disuccinimidyl suberate, and a semi-specific cross-linker NHS-Diazirine, followed by analysis of the cross-linked products by nanoLC-LTQ-Orbitrap mass spectrometry. The cross-linked data were searched by XLPM and StavroX and the performance of the two algorithms was compared. The cross-links were mapped to the X-ray structure of Rim1 tetramer. Analysis of the mixture of NHS-Diazirine cross-linked (15)N and (14)N-labeled Rim1 tetramers yielded (15)N-labeled to (14)N-labeled cross-linked peptide pairs, corresponding to C-terminus-to-N-terminus cross-linking, demonstrating interaction between different two Rim1 tetramers. Both XLPM and StavroX were successful in identification of this interaction, with XLPM leading to a better annotation of higher-charged fragments. We also put forward a new method of estimating specificity and sensitivity of identification of a cross-linked residue in the case of a non-specific cross-linker. CONCLUSIONS: The novel cross-link mapping algorithm, XLPM, considerably improves the speed and accuracy of the analysis compared to other methods. The quality selection filter based on b-to-y ions ratio proved to be an effective way to select high quality cross-linked spectra. BioMed Central 2014-10-21 /pmc/articles/PMC4251045/ /pubmed/25350700 http://dx.doi.org/10.1186/1471-2105-15-S11-S16 Text en Copyright © 2014 Jaiswal et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Proceedings
Jaiswal, Mihir
Crabtree, Nathaniel Mark
Bauer, Michael A
Hall, Roger
Raney, Kevin D
Zybailov, Boris L
XLPM: efficient algorithm for the analysis of protein-protein contacts using chemical cross-linking mass spectrometry
title XLPM: efficient algorithm for the analysis of protein-protein contacts using chemical cross-linking mass spectrometry
title_full XLPM: efficient algorithm for the analysis of protein-protein contacts using chemical cross-linking mass spectrometry
title_fullStr XLPM: efficient algorithm for the analysis of protein-protein contacts using chemical cross-linking mass spectrometry
title_full_unstemmed XLPM: efficient algorithm for the analysis of protein-protein contacts using chemical cross-linking mass spectrometry
title_short XLPM: efficient algorithm for the analysis of protein-protein contacts using chemical cross-linking mass spectrometry
title_sort xlpm: efficient algorithm for the analysis of protein-protein contacts using chemical cross-linking mass spectrometry
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4251045/
https://www.ncbi.nlm.nih.gov/pubmed/25350700
http://dx.doi.org/10.1186/1471-2105-15-S11-S16
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