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An Integrated Quantitative Proteomics Workflow for Cancer Biomarker Discovery and Validation in Plasma
Blood plasma is one of the most widely used samples for cancer biomarker discovery research as well as clinical investigations for diagnostic and therapeutic purposes. However, the plasma proteome is extremely complex due to its wide dynamic range of protein concentrations and the presence of high-a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7538778/ https://www.ncbi.nlm.nih.gov/pubmed/33072574 http://dx.doi.org/10.3389/fonc.2020.543997 |
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author | Kumar, Vipin Ray, Sandipan Ghantasala, Saicharan Srivastava, Sanjeeva |
author_facet | Kumar, Vipin Ray, Sandipan Ghantasala, Saicharan Srivastava, Sanjeeva |
author_sort | Kumar, Vipin |
collection | PubMed |
description | Blood plasma is one of the most widely used samples for cancer biomarker discovery research as well as clinical investigations for diagnostic and therapeutic purposes. However, the plasma proteome is extremely complex due to its wide dynamic range of protein concentrations and the presence of high-abundance proteins. Here we have described an optimized, integrated quantitative proteomics pipeline combining the label-free and multiplexed-labeling-based (iTRAQ and TMT) plasma proteome profiling methods for biomarker discovery, followed by the targeted approaches for validation of the identified potential marker proteins. In this workflow, the targeted quantitation of proteins is carried out by multiple-reaction monitoring (MRM) and parallel-reaction monitoring (PRM) mass spectrometry. Thus, our approach enables both unbiased screenings of biomarkers and their subsequent selective validation in human plasma. The overall procedure takes only ~2 days to complete, including the time for data acquisition (excluding database searching). This protocol is quick, flexible, and eliminates the need for a separate immunoassay-based validation workflow in blood cancer biomarker investigations. We anticipate that this plasma proteomics workflow will help to accelerate the cancer biomarker discovery program and provide a valuable resource to the cancer research community. |
format | Online Article Text |
id | pubmed-7538778 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75387782020-10-15 An Integrated Quantitative Proteomics Workflow for Cancer Biomarker Discovery and Validation in Plasma Kumar, Vipin Ray, Sandipan Ghantasala, Saicharan Srivastava, Sanjeeva Front Oncol Oncology Blood plasma is one of the most widely used samples for cancer biomarker discovery research as well as clinical investigations for diagnostic and therapeutic purposes. However, the plasma proteome is extremely complex due to its wide dynamic range of protein concentrations and the presence of high-abundance proteins. Here we have described an optimized, integrated quantitative proteomics pipeline combining the label-free and multiplexed-labeling-based (iTRAQ and TMT) plasma proteome profiling methods for biomarker discovery, followed by the targeted approaches for validation of the identified potential marker proteins. In this workflow, the targeted quantitation of proteins is carried out by multiple-reaction monitoring (MRM) and parallel-reaction monitoring (PRM) mass spectrometry. Thus, our approach enables both unbiased screenings of biomarkers and their subsequent selective validation in human plasma. The overall procedure takes only ~2 days to complete, including the time for data acquisition (excluding database searching). This protocol is quick, flexible, and eliminates the need for a separate immunoassay-based validation workflow in blood cancer biomarker investigations. We anticipate that this plasma proteomics workflow will help to accelerate the cancer biomarker discovery program and provide a valuable resource to the cancer research community. Frontiers Media S.A. 2020-09-23 /pmc/articles/PMC7538778/ /pubmed/33072574 http://dx.doi.org/10.3389/fonc.2020.543997 Text en Copyright © 2020 Kumar, Ray, Ghantasala and Srivastava. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Kumar, Vipin Ray, Sandipan Ghantasala, Saicharan Srivastava, Sanjeeva An Integrated Quantitative Proteomics Workflow for Cancer Biomarker Discovery and Validation in Plasma |
title | An Integrated Quantitative Proteomics Workflow for Cancer Biomarker Discovery and Validation in Plasma |
title_full | An Integrated Quantitative Proteomics Workflow for Cancer Biomarker Discovery and Validation in Plasma |
title_fullStr | An Integrated Quantitative Proteomics Workflow for Cancer Biomarker Discovery and Validation in Plasma |
title_full_unstemmed | An Integrated Quantitative Proteomics Workflow for Cancer Biomarker Discovery and Validation in Plasma |
title_short | An Integrated Quantitative Proteomics Workflow for Cancer Biomarker Discovery and Validation in Plasma |
title_sort | integrated quantitative proteomics workflow for cancer biomarker discovery and validation in plasma |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7538778/ https://www.ncbi.nlm.nih.gov/pubmed/33072574 http://dx.doi.org/10.3389/fonc.2020.543997 |
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