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Multiplatform approach for plasma proteomics: Complementarity of olink proximity extension assay technology to mass spectrometry-based protein profiling.

J. Proteome Res. 20, 751-762 (2021)
Verlagsversion DOI
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
The plasma proteome is the ultimate target for biomarker discovery. It stores an endless amount of information on the pathophysiological status of a living organism, which is, however, still difficult to comprehensively access. The high complexity of the plasma proteome can be addressed by either a system-wide and unbiased tool such as mass spectrometry (LC-MS/MS) or a highly sensitive targeted immunoassay such as the proximity extension assay (PEA). To address relevant differences and important shared characteristics, we tested the performance of LC-MS/MS in the data-dependent and data-independent acquisition modes and Olink PEA to measure circulating plasma proteins in 173 human plasma samples from a Southern German population-based cohort. We demonstrated the measurement of more than 300 proteins with both LC-MS/MS approaches applied, mainly including high-abundance plasma proteins. By the use of the PEA technology, we measured 728 plasma proteins, covering a broad dynamic range with high sensitivity down to pg/mL concentrations. Then, we quantified 35 overlapping proteins with all three analytical platforms, verifying the reproducibility of data distributions, measurement correlation, and gender-based differential expression. Our work highlights the limitations and the advantages of both targeted and untargeted approaches and proves their complementary strengths. We demonstrated a significant gain in proteome coverage depth and subsequent biological insight by a combination of platforms - a promising approach for future biomarker and mechanistic studies.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Complementarity ; Immunoassays ; Mass Spectrometry ; Plasma ; Proteomics; Sex-differences; Biomarkers; Workflow
ISSN (print) / ISBN 1535-3893
e-ISSN 1535-3907
Quellenangaben Band: 20, Heft: 1, Seiten: 751-762 Artikelnummer: , Supplement: ,
Verlag American Chemical Society (ACS)
Verlagsort 1155 16th St, Nw, Washington, Dc 20036 Usa
Begutachtungsstatus Peer reviewed
Förderungen Helmholtz Zentrum Munchen-German Research Center for Environmental Health - German Federal Ministry of Education and Research (BMBF)
State of Bavaria
Munich Center of Health Sciences (MC-Health), LudwigMaximilians-Universitat Munchen, as part of LMUinnovativ