Protein Target Quantification Decision Tree
Joint Authors
Source
International Journal of Proteomics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-01-15
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Biology
Abstract EN
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.
American Psychological Association (APA)
Kim, Jong Won& You, Jinsam. 2013. Protein Target Quantification Decision Tree. International Journal of Proteomics،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-491607
Modern Language Association (MLA)
Kim, Jong Won& You, Jinsam. Protein Target Quantification Decision Tree. International Journal of Proteomics No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-491607
American Medical Association (AMA)
Kim, Jong Won& You, Jinsam. Protein Target Quantification Decision Tree. International Journal of Proteomics. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-491607
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-491607