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Protein Target Quantification Decision Tree

The utility of mass spectrometry-(MS-) based proteomic platforms and their clinical applications have become an emerging field in proteomics in recent years. Owing to its selectivity and sensitivity, MS has become a key technological platform in proteomic research. Using this platform, a large numbe...

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Detalles Bibliográficos
Autores principales: Kim, Jong Won, You, Jinsam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3562589/
https://www.ncbi.nlm.nih.gov/pubmed/23401774
http://dx.doi.org/10.1155/2013/701247
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author Kim, Jong Won
You, Jinsam
author_facet Kim, Jong Won
You, Jinsam
author_sort Kim, Jong Won
collection PubMed
description The utility of mass spectrometry-(MS-) based proteomic platforms and their clinical applications have become an emerging field in proteomics in recent years. Owing to its selectivity and sensitivity, MS has become a key technological platform in proteomic research. Using this platform, a large number of potential biomarker candidates for specific diseases have been reported. However, due to lack of validation, none has been approved for use in clinical settings by the Food and Drug Administration (FDA). Successful candidate verification and validation will facilitate the development of potential biomarkers, leading to better strategies for disease diagnostics, prognostics, and treatment. With the recent new developments in mass spectrometers, high sensitivity, high resolution, and high mass accuracy can be achieved. This greatly enhances the capabilities of protein biomarker validation. In this paper, we describe and discuss recent developments and applications of targeted proteomics methods for biomarker validation.
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spelling pubmed-35625892013-02-11 Protein Target Quantification Decision Tree Kim, Jong Won You, Jinsam Int J Proteomics Review Article The utility of mass spectrometry-(MS-) based proteomic platforms and their clinical applications have become an emerging field in proteomics in recent years. Owing to its selectivity and sensitivity, MS has become a key technological platform in proteomic research. Using this platform, a large number of potential biomarker candidates for specific diseases have been reported. However, due to lack of validation, none has been approved for use in clinical settings by the Food and Drug Administration (FDA). Successful candidate verification and validation will facilitate the development of potential biomarkers, leading to better strategies for disease diagnostics, prognostics, and treatment. With the recent new developments in mass spectrometers, high sensitivity, high resolution, and high mass accuracy can be achieved. This greatly enhances the capabilities of protein biomarker validation. In this paper, we describe and discuss recent developments and applications of targeted proteomics methods for biomarker validation. Hindawi Publishing Corporation 2013 2013-01-15 /pmc/articles/PMC3562589/ /pubmed/23401774 http://dx.doi.org/10.1155/2013/701247 Text en Copyright © 2013 J. W. Kim and J. You. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Kim, Jong Won
You, Jinsam
Protein Target Quantification Decision Tree
title Protein Target Quantification Decision Tree
title_full Protein Target Quantification Decision Tree
title_fullStr Protein Target Quantification Decision Tree
title_full_unstemmed Protein Target Quantification Decision Tree
title_short Protein Target Quantification Decision Tree
title_sort protein target quantification decision tree
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3562589/
https://www.ncbi.nlm.nih.gov/pubmed/23401774
http://dx.doi.org/10.1155/2013/701247
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