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SimPhospho: a software tool enabling confident phosphosite assignment

MOTIVATION: Mass spectrometry combined with enrichment strategies for phosphorylated peptides has been successfully employed for two decades to identify sites of phosphorylation. However, unambiguous phosphosite assignment is considered challenging. Given that site-specific phosphorylation events fu...

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Autores principales: Suni, Veronika, Suomi, Tomi, Tsubosaka, Tomoya, Imanishi, Susumu Y, Elo, Laura L, Corthals, Garry L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6061695/
https://www.ncbi.nlm.nih.gov/pubmed/29596608
http://dx.doi.org/10.1093/bioinformatics/bty151
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author Suni, Veronika
Suomi, Tomi
Tsubosaka, Tomoya
Imanishi, Susumu Y
Elo, Laura L
Corthals, Garry L
author_facet Suni, Veronika
Suomi, Tomi
Tsubosaka, Tomoya
Imanishi, Susumu Y
Elo, Laura L
Corthals, Garry L
author_sort Suni, Veronika
collection PubMed
description MOTIVATION: Mass spectrometry combined with enrichment strategies for phosphorylated peptides has been successfully employed for two decades to identify sites of phosphorylation. However, unambiguous phosphosite assignment is considered challenging. Given that site-specific phosphorylation events function as different molecular switches, validation of phosphorylation sites is of utmost importance. In our earlier study we developed a method based on simulated phosphopeptide spectral libraries, which enables highly sensitive and accurate phosphosite assignments. To promote more widespread use of this method, we here introduce a software implementation with improved usability and performance. RESULTS: We present SimPhospho, a fast and user-friendly tool for accurate simulation of phosphopeptide tandem mass spectra. Simulated phosphopeptide spectral libraries are used to validate and supplement database search results, with a goal to improve reliable phosphoproteome identification and reporting. The presented program can be easily used together with the Trans-Proteomic Pipeline and integrated in a phosphoproteomics data analysis workflow. AVAILABILITY AND IMPLEMENTATION: SimPhospho is open source and it is available for Windows, Linux and Mac operating systems. The software and its user’s manual with detailed description of data analysis as well as test data can be found at https://sourceforge.net/projects/simphospho/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-60616952018-08-07 SimPhospho: a software tool enabling confident phosphosite assignment Suni, Veronika Suomi, Tomi Tsubosaka, Tomoya Imanishi, Susumu Y Elo, Laura L Corthals, Garry L Bioinformatics Applications Notes MOTIVATION: Mass spectrometry combined with enrichment strategies for phosphorylated peptides has been successfully employed for two decades to identify sites of phosphorylation. However, unambiguous phosphosite assignment is considered challenging. Given that site-specific phosphorylation events function as different molecular switches, validation of phosphorylation sites is of utmost importance. In our earlier study we developed a method based on simulated phosphopeptide spectral libraries, which enables highly sensitive and accurate phosphosite assignments. To promote more widespread use of this method, we here introduce a software implementation with improved usability and performance. RESULTS: We present SimPhospho, a fast and user-friendly tool for accurate simulation of phosphopeptide tandem mass spectra. Simulated phosphopeptide spectral libraries are used to validate and supplement database search results, with a goal to improve reliable phosphoproteome identification and reporting. The presented program can be easily used together with the Trans-Proteomic Pipeline and integrated in a phosphoproteomics data analysis workflow. AVAILABILITY AND IMPLEMENTATION: SimPhospho is open source and it is available for Windows, Linux and Mac operating systems. The software and its user’s manual with detailed description of data analysis as well as test data can be found at https://sourceforge.net/projects/simphospho/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2018-08-01 2018-03-27 /pmc/articles/PMC6061695/ /pubmed/29596608 http://dx.doi.org/10.1093/bioinformatics/bty151 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Applications Notes
Suni, Veronika
Suomi, Tomi
Tsubosaka, Tomoya
Imanishi, Susumu Y
Elo, Laura L
Corthals, Garry L
SimPhospho: a software tool enabling confident phosphosite assignment
title SimPhospho: a software tool enabling confident phosphosite assignment
title_full SimPhospho: a software tool enabling confident phosphosite assignment
title_fullStr SimPhospho: a software tool enabling confident phosphosite assignment
title_full_unstemmed SimPhospho: a software tool enabling confident phosphosite assignment
title_short SimPhospho: a software tool enabling confident phosphosite assignment
title_sort simphospho: a software tool enabling confident phosphosite assignment
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6061695/
https://www.ncbi.nlm.nih.gov/pubmed/29596608
http://dx.doi.org/10.1093/bioinformatics/bty151
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