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  Revisiting biomarker discovery by plasma proteomics

Geyer, P. E., Holdt, L. M., Teupser, D., & Mann, M. (2017). Revisiting biomarker discovery by plasma proteomics. Molecular Systems Biology, 13(9): 942. doi:10.15252/msb.20156297.

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© 2017 The Authors. Published under the terms of the CC BY 4.0 license

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 Creators:
Geyer, Philipp E.1, Author           
Holdt, Lesca M.2, Author
Teupser, Daniel2, Author
Mann, Matthias1, Author           
Affiliations:
1Mann, Matthias / Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Max Planck Society, ou_1565159              
2external, ou_persistent22              

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Free keywords: TARGETED MASS-SPECTROMETRY; GENOME-WIDE ASSOCIATION; OVARIAN-CANCER; PROTEIN QUANTIFICATION; CLINICAL VALIDATION; ABUNDANCE PROTEINS; SYSTEMS BIOLOGY; SERUM; VERIFICATION; PEPTIDEBiochemistry & Molecular Biology; biomarkers; diagnostic; mass spectrometry; plasma proteomics; systems medicine;
 Abstract: 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.

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Language(s): eng - English
 Dates: 2017
 Publication Status: Published online
 Pages: 15
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISI: 000411720200004
DOI: 10.15252/msb.20156297
 Degree: -

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Title: Molecular Systems Biology
Source Genre: Journal
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Publ. Info: London : Nature Pub. Group
Pages: - Volume / Issue: 13 (9) Sequence Number: 942 Start / End Page: - Identifier: ISSN: 1744-4292
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000021290