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Targeted proteomic assays for quantitation of proteins identified by proteogenomic analysis of ovarian cancer
Mass spectrometry (MS) based targeted proteomic methods such as selected reaction monitoring (SRM) are emerging as a promising tool for verification of candidate proteins in biological and biomedical applications. The Clinical Proteomic Tumor Analysis Consortium (CPTAC) of the National Cancer Instit...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5516542/ https://www.ncbi.nlm.nih.gov/pubmed/28722704 http://dx.doi.org/10.1038/sdata.2017.91 |
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author | Song, Ehwang Gao, Yuqian Wu, Chaochao Shi, Tujin Nie, Song Fillmore, Thomas L. Schepmoes, Athena A. Gritsenko, Marina A. Qian, Wei-Jun Smith, Richard D. Rodland, Karin D. Liu, Tao |
author_facet | Song, Ehwang Gao, Yuqian Wu, Chaochao Shi, Tujin Nie, Song Fillmore, Thomas L. Schepmoes, Athena A. Gritsenko, Marina A. Qian, Wei-Jun Smith, Richard D. Rodland, Karin D. Liu, Tao |
author_sort | Song, Ehwang |
collection | PubMed |
description | Mass spectrometry (MS) based targeted proteomic methods such as selected reaction monitoring (SRM) are emerging as a promising tool for verification of candidate proteins in biological and biomedical applications. The Clinical Proteomic Tumor Analysis Consortium (CPTAC) of the National Cancer Institute has investigated the standardization and analytical validation of the SRM assays and demonstrated robust analytical performance on different instruments across different laboratories. An Assay Portal has also been established by CPTAC to provide the research community a resource consisting of large sets of targeted MS-based assays, and a depository to share assays publicly. Herein, we report the development of 98 SRM assays that have been thoroughly characterized according to the CPTAC Assay Characterization Guidance Document; 37 of these passed all five experimental tests. The assays cover 70 proteins previously identified at the protein level in ovarian tumors. The experiments, methods and results for characterizing these SRM assays for their MS response, repeatability, selectivity, stability, and endogenous detection are described in detail. Data are available via PeptideAtlas, Panorama and the CPTAC Assay Portal. |
format | Online Article Text |
id | pubmed-5516542 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-55165422017-07-31 Targeted proteomic assays for quantitation of proteins identified by proteogenomic analysis of ovarian cancer Song, Ehwang Gao, Yuqian Wu, Chaochao Shi, Tujin Nie, Song Fillmore, Thomas L. Schepmoes, Athena A. Gritsenko, Marina A. Qian, Wei-Jun Smith, Richard D. Rodland, Karin D. Liu, Tao Sci Data Data Descriptor Mass spectrometry (MS) based targeted proteomic methods such as selected reaction monitoring (SRM) are emerging as a promising tool for verification of candidate proteins in biological and biomedical applications. The Clinical Proteomic Tumor Analysis Consortium (CPTAC) of the National Cancer Institute has investigated the standardization and analytical validation of the SRM assays and demonstrated robust analytical performance on different instruments across different laboratories. An Assay Portal has also been established by CPTAC to provide the research community a resource consisting of large sets of targeted MS-based assays, and a depository to share assays publicly. Herein, we report the development of 98 SRM assays that have been thoroughly characterized according to the CPTAC Assay Characterization Guidance Document; 37 of these passed all five experimental tests. The assays cover 70 proteins previously identified at the protein level in ovarian tumors. The experiments, methods and results for characterizing these SRM assays for their MS response, repeatability, selectivity, stability, and endogenous detection are described in detail. Data are available via PeptideAtlas, Panorama and the CPTAC Assay Portal. Nature Publishing Group 2017-07-19 /pmc/articles/PMC5516542/ /pubmed/28722704 http://dx.doi.org/10.1038/sdata.2017.91 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor Song, Ehwang Gao, Yuqian Wu, Chaochao Shi, Tujin Nie, Song Fillmore, Thomas L. Schepmoes, Athena A. Gritsenko, Marina A. Qian, Wei-Jun Smith, Richard D. Rodland, Karin D. Liu, Tao Targeted proteomic assays for quantitation of proteins identified by proteogenomic analysis of ovarian cancer |
title | Targeted proteomic assays for quantitation of proteins identified by proteogenomic analysis of ovarian cancer |
title_full | Targeted proteomic assays for quantitation of proteins identified by proteogenomic analysis of ovarian cancer |
title_fullStr | Targeted proteomic assays for quantitation of proteins identified by proteogenomic analysis of ovarian cancer |
title_full_unstemmed | Targeted proteomic assays for quantitation of proteins identified by proteogenomic analysis of ovarian cancer |
title_short | Targeted proteomic assays for quantitation of proteins identified by proteogenomic analysis of ovarian cancer |
title_sort | targeted proteomic assays for quantitation of proteins identified by proteogenomic analysis of ovarian cancer |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5516542/ https://www.ncbi.nlm.nih.gov/pubmed/28722704 http://dx.doi.org/10.1038/sdata.2017.91 |
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