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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...

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Autores principales: Kumar, Vipin, Ray, Sandipan, Ghantasala, Saicharan, Srivastava, Sanjeeva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
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.
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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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