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Towards Building a Quantitative Proteomics Toolbox in Precision Medicine: A Mini-Review
Precision medicine as a framework for disease diagnosis, treatment, and prevention at the molecular level has entered clinical practice. From the start, genetics has been an indispensable tool to understand and stratify the biology of chronic and complex diseases in precision medicine. However, with...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8427610/ https://www.ncbi.nlm.nih.gov/pubmed/34512391 http://dx.doi.org/10.3389/fphys.2021.723510 |
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author | Correa Rojo, Alejandro Heylen, Dries Aerts, Jan Thas, Olivier Hooyberghs, Jef Ertaylan, Gökhan Valkenborg, Dirk |
author_facet | Correa Rojo, Alejandro Heylen, Dries Aerts, Jan Thas, Olivier Hooyberghs, Jef Ertaylan, Gökhan Valkenborg, Dirk |
author_sort | Correa Rojo, Alejandro |
collection | PubMed |
description | Precision medicine as a framework for disease diagnosis, treatment, and prevention at the molecular level has entered clinical practice. From the start, genetics has been an indispensable tool to understand and stratify the biology of chronic and complex diseases in precision medicine. However, with the advances in biomedical and omics technologies, quantitative proteomics is emerging as a powerful technology complementing genetics. Quantitative proteomics provide insight about the dynamic behaviour of proteins as they represent intermediate phenotypes. They provide direct biological insights into physiological patterns, while genetics accounting for baseline characteristics. Additionally, it opens a wide range of applications in clinical diagnostics, treatment stratification, and drug discovery. In this mini-review, we discuss the current status of quantitative proteomics in precision medicine including the available technologies and common methods to analyze quantitative proteomics data. Furthermore, we highlight the current challenges to put quantitative proteomics into clinical settings and provide a perspective to integrate proteomics data with genomics data for future applications in precision medicine. |
format | Online Article Text |
id | pubmed-8427610 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84276102021-09-10 Towards Building a Quantitative Proteomics Toolbox in Precision Medicine: A Mini-Review Correa Rojo, Alejandro Heylen, Dries Aerts, Jan Thas, Olivier Hooyberghs, Jef Ertaylan, Gökhan Valkenborg, Dirk Front Physiol Physiology Precision medicine as a framework for disease diagnosis, treatment, and prevention at the molecular level has entered clinical practice. From the start, genetics has been an indispensable tool to understand and stratify the biology of chronic and complex diseases in precision medicine. However, with the advances in biomedical and omics technologies, quantitative proteomics is emerging as a powerful technology complementing genetics. Quantitative proteomics provide insight about the dynamic behaviour of proteins as they represent intermediate phenotypes. They provide direct biological insights into physiological patterns, while genetics accounting for baseline characteristics. Additionally, it opens a wide range of applications in clinical diagnostics, treatment stratification, and drug discovery. In this mini-review, we discuss the current status of quantitative proteomics in precision medicine including the available technologies and common methods to analyze quantitative proteomics data. Furthermore, we highlight the current challenges to put quantitative proteomics into clinical settings and provide a perspective to integrate proteomics data with genomics data for future applications in precision medicine. Frontiers Media S.A. 2021-08-26 /pmc/articles/PMC8427610/ /pubmed/34512391 http://dx.doi.org/10.3389/fphys.2021.723510 Text en Copyright © 2021 Correa Rojo, Heylen, Aerts, Thas, Hooyberghs, Ertaylan and Valkenborg. https://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 | Physiology Correa Rojo, Alejandro Heylen, Dries Aerts, Jan Thas, Olivier Hooyberghs, Jef Ertaylan, Gökhan Valkenborg, Dirk Towards Building a Quantitative Proteomics Toolbox in Precision Medicine: A Mini-Review |
title | Towards Building a Quantitative Proteomics Toolbox in Precision Medicine: A Mini-Review |
title_full | Towards Building a Quantitative Proteomics Toolbox in Precision Medicine: A Mini-Review |
title_fullStr | Towards Building a Quantitative Proteomics Toolbox in Precision Medicine: A Mini-Review |
title_full_unstemmed | Towards Building a Quantitative Proteomics Toolbox in Precision Medicine: A Mini-Review |
title_short | Towards Building a Quantitative Proteomics Toolbox in Precision Medicine: A Mini-Review |
title_sort | towards building a quantitative proteomics toolbox in precision medicine: a mini-review |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8427610/ https://www.ncbi.nlm.nih.gov/pubmed/34512391 http://dx.doi.org/10.3389/fphys.2021.723510 |
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