Multiplex assays for biomarker research and clinical application: translational science coming of age.
Over the last decade, translational science has come into the focus of academic medicine, and significant intellectual and financial efforts have been made to initiate a multitude of bench-to-bedside projects. The quest for suitable biomarkers that will significantly change clinical practice has become one of the biggest challenges in translational medicine. Quantitative measurement of proteins is a critical step in biomarker discovery. Assessing a large number of potential protein biomarkers in a statistically significant number of samples and controls still constitutes a major technical hurdle. Multiplexed analysis offers significant advantages regarding time, reagent cost, sample requirements and the amount of data that can be generated. The two contemporary approaches in multiplexed and quantitative biomarker validation, antibody-based immunoassays and MS-based multiple (or selected) reaction monitoring, are based on different assay principles and instrument requirements. Both approaches have their own advantages and disadvantages and therefore have complementary roles in the multi-staged biomarker verification and validation process. In this review, we discuss quantitative immunoassay and multiple reaction monitoring/selected reaction monitoring assay principles and development. We also discuss choosing an appropriate platform, judging the performance of assays, obtaining reliable, quantitative results for translational research and clinical applications in the biomarker field.
The Johns Hopkins Bayview Proteomics Center, Johns Hopkins University, Baltimore, MD 21224, USA.
Qin
Q
Fu
Florian S
FS
Schoenhoff
William J
WJ
Savage
Pingbo
P
Zhang
Jennifer E
JE
Van Eyk
D000906:Antibodies / Q000276:immunology; D015415:Biomarkers / Q000032:analysis* / Q000378:metabolism; D006801:Humans; D007118:Immunoassay / Q000379:methods / Q000592:standards; D013058:Mass Spectrometry; D012015:Reference Standards; D057170:Translational Research, Biomedical / Q000379:methods* / Q000639:trends
D000906:Antibodies; D015415:Biomarkers