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i-Tracker: For quantitative proteomics using iTRAQ™
BACKGROUND: iTRAQ™ technology for protein quantitation using mass spectrometry is a recent, powerful means of determining relative protein levels in up to four samples simultaneously. Although protein identification of samples generated using iTRAQ may be carried out using any current identification...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2005
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1276793/ https://www.ncbi.nlm.nih.gov/pubmed/16242023 http://dx.doi.org/10.1186/1471-2164-6-145 |
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author | Shadforth, Ian P Dunkley, Tom PJ Lilley, Kathryn S Bessant, Conrad |
author_facet | Shadforth, Ian P Dunkley, Tom PJ Lilley, Kathryn S Bessant, Conrad |
author_sort | Shadforth, Ian P |
collection | PubMed |
description | BACKGROUND: iTRAQ™ technology for protein quantitation using mass spectrometry is a recent, powerful means of determining relative protein levels in up to four samples simultaneously. Although protein identification of samples generated using iTRAQ may be carried out using any current identification software, the quantitation calculations have been restricted to the ProQuant software supplied by Applied Biosciences. i-Tracker software has been developed to extract reporter ion peak ratios from non-centroided tandem MS peak lists in a format easily linked to the results of protein identification tools such as Mascot and Sequest. Such functionality is currently not provided by ProQuant, which is restricted to matching quantitative information to the peptide identifications from Applied Biosciences' Interrogator™ software. RESULTS: i-Tracker is shown to generate results that are consistent with those produced by ProQuant, thus validating both systems. CONCLUSION: i-Tracker allows quantitative information gained using the iTRAQ protocol to be linked with peptide identifications from popular tandem MS identification tools and hence is both a timely and useful tool for the proteomics community. |
format | Text |
id | pubmed-1276793 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-12767932005-11-03 i-Tracker: For quantitative proteomics using iTRAQ™ Shadforth, Ian P Dunkley, Tom PJ Lilley, Kathryn S Bessant, Conrad BMC Genomics Software BACKGROUND: iTRAQ™ technology for protein quantitation using mass spectrometry is a recent, powerful means of determining relative protein levels in up to four samples simultaneously. Although protein identification of samples generated using iTRAQ may be carried out using any current identification software, the quantitation calculations have been restricted to the ProQuant software supplied by Applied Biosciences. i-Tracker software has been developed to extract reporter ion peak ratios from non-centroided tandem MS peak lists in a format easily linked to the results of protein identification tools such as Mascot and Sequest. Such functionality is currently not provided by ProQuant, which is restricted to matching quantitative information to the peptide identifications from Applied Biosciences' Interrogator™ software. RESULTS: i-Tracker is shown to generate results that are consistent with those produced by ProQuant, thus validating both systems. CONCLUSION: i-Tracker allows quantitative information gained using the iTRAQ protocol to be linked with peptide identifications from popular tandem MS identification tools and hence is both a timely and useful tool for the proteomics community. BioMed Central 2005-10-20 /pmc/articles/PMC1276793/ /pubmed/16242023 http://dx.doi.org/10.1186/1471-2164-6-145 Text en Copyright © 2005 Shadforth et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Shadforth, Ian P Dunkley, Tom PJ Lilley, Kathryn S Bessant, Conrad i-Tracker: For quantitative proteomics using iTRAQ™ |
title | i-Tracker: For quantitative proteomics using iTRAQ™ |
title_full | i-Tracker: For quantitative proteomics using iTRAQ™ |
title_fullStr | i-Tracker: For quantitative proteomics using iTRAQ™ |
title_full_unstemmed | i-Tracker: For quantitative proteomics using iTRAQ™ |
title_short | i-Tracker: For quantitative proteomics using iTRAQ™ |
title_sort | i-tracker: for quantitative proteomics using itraq™ |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1276793/ https://www.ncbi.nlm.nih.gov/pubmed/16242023 http://dx.doi.org/10.1186/1471-2164-6-145 |
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