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Automated peptide mapping and protein-topographical annotation of proteomics data
BACKGROUND: In quantitative proteomics, peptide mapping is a valuable approach to combine positional quantitative information with topographical and domain information of proteins. Quantitative proteomic analysis of cell surface shedding is an exemplary application area of this approach. RESULTS: We...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4071796/ https://www.ncbi.nlm.nih.gov/pubmed/24946880 http://dx.doi.org/10.1186/1471-2105-15-207 |
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author | Videm, Pavankumar Gunasekaran, Deepika Schröder, Bernd Mayer, Bettina Biniossek, Martin L Schilling, Oliver |
author_facet | Videm, Pavankumar Gunasekaran, Deepika Schröder, Bernd Mayer, Bettina Biniossek, Martin L Schilling, Oliver |
author_sort | Videm, Pavankumar |
collection | PubMed |
description | BACKGROUND: In quantitative proteomics, peptide mapping is a valuable approach to combine positional quantitative information with topographical and domain information of proteins. Quantitative proteomic analysis of cell surface shedding is an exemplary application area of this approach. RESULTS: We developed ImproViser ( http://www.improviser.uni-freiburg.de) for fully automated peptide mapping of quantitative proteomics data in the protXML data. The tool generates sortable and graphically annotated output, which can be easily shared with further users. As an exemplary application, we show its usage in the proteomic analysis of regulated intramembrane proteolysis. CONCLUSION: ImproViser is the first tool to enable automated peptide mapping of the widely-used protXML format. |
format | Online Article Text |
id | pubmed-4071796 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40717962014-06-27 Automated peptide mapping and protein-topographical annotation of proteomics data Videm, Pavankumar Gunasekaran, Deepika Schröder, Bernd Mayer, Bettina Biniossek, Martin L Schilling, Oliver BMC Bioinformatics Software BACKGROUND: In quantitative proteomics, peptide mapping is a valuable approach to combine positional quantitative information with topographical and domain information of proteins. Quantitative proteomic analysis of cell surface shedding is an exemplary application area of this approach. RESULTS: We developed ImproViser ( http://www.improviser.uni-freiburg.de) for fully automated peptide mapping of quantitative proteomics data in the protXML data. The tool generates sortable and graphically annotated output, which can be easily shared with further users. As an exemplary application, we show its usage in the proteomic analysis of regulated intramembrane proteolysis. CONCLUSION: ImproViser is the first tool to enable automated peptide mapping of the widely-used protXML format. BioMed Central 2014-06-19 /pmc/articles/PMC4071796/ /pubmed/24946880 http://dx.doi.org/10.1186/1471-2105-15-207 Text en Copyright © 2014 Videm 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 credited. 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 | Software Videm, Pavankumar Gunasekaran, Deepika Schröder, Bernd Mayer, Bettina Biniossek, Martin L Schilling, Oliver Automated peptide mapping and protein-topographical annotation of proteomics data |
title | Automated peptide mapping and protein-topographical annotation of proteomics data |
title_full | Automated peptide mapping and protein-topographical annotation of proteomics data |
title_fullStr | Automated peptide mapping and protein-topographical annotation of proteomics data |
title_full_unstemmed | Automated peptide mapping and protein-topographical annotation of proteomics data |
title_short | Automated peptide mapping and protein-topographical annotation of proteomics data |
title_sort | automated peptide mapping and protein-topographical annotation of proteomics data |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4071796/ https://www.ncbi.nlm.nih.gov/pubmed/24946880 http://dx.doi.org/10.1186/1471-2105-15-207 |
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