Protein Target Quantification Decision Tree

  • Kim J
  • You J
N/ACitations
Citations of this article
20Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

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.

Cite

CITATION STYLE

APA

Kim, J. W., & You, J. (2013). Protein Target Quantification Decision Tree. International Journal of Proteomics, 2013, 1–8. https://doi.org/10.1155/2013/701247

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free