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Revisiting biomarker discovery by plasma proteomics
by
Geyer, Philipp E
, Mann, Matthias
, Holdt, Lesca M
, Teupser, Daniel
in
Biological research
/ Biomarkers
/ Biomarkers - analysis
/ Blood
/ Blood Proteins - analysis
/ Decision making
/ diagnostic
/ Diagnostic systems
/ EMBO24
/ EMBO31
/ EMBO42
/ Genotype & phenotype
/ Humans
/ Immunoassays
/ Mass spectrometry
/ Mass Spectrometry - methods
/ Mass spectroscopy
/ Phenotype
/ Plasma
/ plasma proteomics
/ Proteome - analysis
/ Proteomics
/ Proteomics - methods
/ Review
/ Reviews
/ systems medicine
2017
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Revisiting biomarker discovery by plasma proteomics
by
Geyer, Philipp E
, Mann, Matthias
, Holdt, Lesca M
, Teupser, Daniel
in
Biological research
/ Biomarkers
/ Biomarkers - analysis
/ Blood
/ Blood Proteins - analysis
/ Decision making
/ diagnostic
/ Diagnostic systems
/ EMBO24
/ EMBO31
/ EMBO42
/ Genotype & phenotype
/ Humans
/ Immunoassays
/ Mass spectrometry
/ Mass Spectrometry - methods
/ Mass spectroscopy
/ Phenotype
/ Plasma
/ plasma proteomics
/ Proteome - analysis
/ Proteomics
/ Proteomics - methods
/ Review
/ Reviews
/ systems medicine
2017
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Do you wish to request the book?
Revisiting biomarker discovery by plasma proteomics
by
Geyer, Philipp E
, Mann, Matthias
, Holdt, Lesca M
, Teupser, Daniel
in
Biological research
/ Biomarkers
/ Biomarkers - analysis
/ Blood
/ Blood Proteins - analysis
/ Decision making
/ diagnostic
/ Diagnostic systems
/ EMBO24
/ EMBO31
/ EMBO42
/ Genotype & phenotype
/ Humans
/ Immunoassays
/ Mass spectrometry
/ Mass Spectrometry - methods
/ Mass spectroscopy
/ Phenotype
/ Plasma
/ plasma proteomics
/ Proteome - analysis
/ Proteomics
/ Proteomics - methods
/ Review
/ Reviews
/ systems medicine
2017
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Journal Article
Revisiting biomarker discovery by plasma proteomics
2017
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Overview
Clinical analysis of blood is the most widespread diagnostic procedure in medicine, and blood biomarkers are used to categorize patients and to support treatment decisions. However, existing biomarkers are far from comprehensive and often lack specificity and new ones are being developed at a very slow rate. As described in this review, mass spectrometry (MS)‐based proteomics has become a powerful technology in biological research and it is now poised to allow the characterization of the plasma proteome in great depth. Previous “triangular strategies” aimed at discovering single biomarker candidates in small cohorts, followed by classical immunoassays in much larger validation cohorts. We propose a “rectangular” plasma proteome profiling strategy, in which the proteome patterns of large cohorts are correlated with their phenotypes in health and disease. Translating such concepts into clinical practice will require restructuring several aspects of diagnostic decision‐making, and we discuss some first steps in this direction.
Graphical Abstract
The performance of mass spectrometry (MS)‐based proteomics has reached a sensitivity and dynamic range that makes it suitable for biomarker studies. This Review discusses plasma proteome profiling strategies and how they can be translated into clinical practice.
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