Protein Target Quantification Decision Tree

Joint Authors

You, Jinsam
Kim, Jong Won

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