Cargando…
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...
Autores principales: | , |
---|---|
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 |
_version_ | 1782258110877925376 |
---|---|
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. |
format | Online Article Text |
id | pubmed-3562589 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT kimjongwon proteintargetquantificationdecisiontree AT youjinsam proteintargetquantificationdecisiontree |