Literature DB >> 32820635

Longitudinal Plasma Protein Profiling Using Targeted Proteomics and Recombinant Protein Standards.

David Kotol1,2, Helian Hunt1,2, Andreas Hober1,2, Max J Karlsson1,2, Björn Forsström1,2, Anders Gummesson3, Göran Bergström3, Linn Fagerberg2, Mathias Uhlén1,2,4, Fredrik Edfors1,2.   

Abstract

Spike-in of standards of known concentrations used in proteomics-based workflows is an attractive approach for both accurate and precise multiplexed protein quantification. Here, a quantitative method based on targeted proteomics analysis of plasma proteins using isotope-labeled recombinant standards originating from the Human Protein Atlas project has been established. The standards were individually quantified prior to being employed in the final multiplex assay. The assays are mainly directed toward actively secreted proteins produced in the liver, but may also originate from other parts of the human body. This study included 21 proteins classified by the FDA as either drug targets or approved clinical protein biomarkers. We describe the use of this multiplex assay for profiling a well-defined human cohort with sample collection spanning over a one-year period. Samples were collected at four different time points, which allowed for a longitudinal analysis to assess the variable plasma proteome within individuals. Two assays toward APOA1 and APOB had available clinical data, and the two assays were benchmarked against each other. The clinical assay is based on antibodies and shows high correlation between the two orthogonal methods, suggesting that targeted proteomics with highly parallel, multiplex analysis is an attractive alternative to antibody-based protein assays.

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Keywords:  absolute quantification; blood plasma; mass spectrometry; precision medicine; proteomics; recombinant protein standards; stable isotope standards

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Year:  2020        PMID: 32820635     DOI: 10.1021/acs.jproteome.0c00194

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  1 in total

1.  Addressing the Protease Bias in Quantitative Proteomics.

Authors:  Jakob Woessmann; David Kotol; Andreas Hober; Mathias Uhlén; Fredrik Edfors
Journal:  J Proteome Res       Date:  2022-08-31       Impact factor: 5.370

  1 in total

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