Format

Send to

Choose Destination
Clin Biochem. 2013 Apr;46(6):411-20. doi: 10.1016/j.clinbiochem.2012.12.003. Epub 2012 Dec 12.

Quality assessment for clinical proteomics.

Author information

1
Department of Biomedical Informatics, Vanderbilt University, USA. david.l.tabb@vanderbilt.edu

Abstract

Proteomics has emerged from the labs of technologists to enter widespread application in clinical contexts. This transition, however, has been hindered by overstated early claims of accuracy, concerns about reproducibility, and the challenges of handling batch effects properly. New efforts have produced sets of performance metrics and measurements of variability that establish sound expectations for experiments in clinical proteomics. As researchers begin incorporating these metrics in a quality by design paradigm, the variability of individual steps in experimental pipelines will be reduced, regularizing overall outcomes. This review discusses the evolution of quality assessment in 2D gel electrophoresis, mass spectrometry-based proteomic profiling, tandem mass spectrometry-based protein inventories, and proteomic quantitation. Taken together, the advances in each of these technologies are establishing databases that will be increasingly useful for decision-making in clinical experimentation.

PMID:
23246537
PMCID:
PMC3602213
DOI:
10.1016/j.clinbiochem.2012.12.003
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Elsevier Science Icon for PubMed Central
Loading ...
Support Center