Mass spectrometry for translational proteomics: progress and clinical implications

65Citations
Citations of this article
115Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The utility of mass spectrometry (MS)-based proteomic analyses and their clinical applications have been increasingly recognized over the past decade due to their high sensitivity, specificity and throughput. MS-based proteomic measurements have been used in a wide range of biological and biomedical investigations, including analysis of cellular responses and disease-specific post-translational modifications. These studies greatly enhance our understanding of the complex and dynamic nature of the proteome in biology and disease. Some MS techniques, such as those for targeted analysis, are being successfully applied for biomarker verification, whereas others, including global quantitative analysis (for example, for biomarker discovery), are more challenging and require further development. However, recent technological improvements in sample processing, instrumental platforms, data acquisition approaches and informatics capabilities continue to advance MS-based applications. Improving the detection of significant changes in proteins through these advances shows great promise for the discovery of improved biomarker candidates that can be verified pre-clinically using targeted measurements, and ultimately used in clinical studies - for example, for early disease diagnosis or as targets for drug development and therapeutic intervention. Here, we review the current state of MS-based proteomics with regard to its advantages and current limitations, and we highlight its translational applications in studies of protein biomarkers. © 2012 BioMed Central Ltd.

Cite

CITATION STYLE

APA

Baker, E. S., Liu, T., Petyuk, V. A., Burnum-Johnson, K. E., Ibrahim, Y. M., Anderson, G. A., & Smith, R. D. (2012, August 31). Mass spectrometry for translational proteomics: progress and clinical implications. Genome Medicine. https://doi.org/10.1186/gm364

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