A Method for Comparing Proteins Measured in Serum and Plasma by Olink Proximity Extension Assay

Accurate measurement of secreted proteins in serum and plasma is essential for understanding mechanisms and developing reliable biomarkers. Recent technological advancements, such as proximity extension assay (PEA), have enabled high-throughput multiplex protein analyses from small sample volumes in either serum or plasma. Despite the increasing use of PEA-based proteomics and the generation of extensive datasets, integrated data from these two mediums remains challenging due to inherent differences in sample processing. To address this issue, we developed and validated protein-specific transformation factors using linear modeling to normalize protein measurements between serum and plasma proteins quantified using Olink. Our analysis surveyed 1463 proteins across matched serum and plasma samples, identifying 686 transformation factors. The transformation factors were further validated using independent datasets generated from patients with different disease phenotypes and ages, and 551 of the models and transformation factors were reproducible. These transformation factors provide a valuable resource for normalizing PEA-based proteomic data across serum and plasma, ultimately enhancing the capacity for collaborative analyses and facilitating comprehensive insights across diverse disease phenotypes.

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Publication Details

Journal
Molecular & Cellular Proteomics
Published
2025-05-27
DOI
https://doi.org/10.1016/j.mcpro.2025.101000
Citations
2
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.51

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article

A Method for Comparing Proteins Measured in Serum and Plasma by Olink Proximity Extension Assay

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article

A Method for Comparing Proteins Measured in Serum and Plasma by Olink Proximity Extension Assay

Afrouz Abbaspour, Robert B. Lindell, Anders Mälarstig, Zachary Martinez, Hamid Bassiri, Rawan Shraim, Caroline Diorio, Erin Macdonald-Dunlop, Scott Canna, David T. Teachey, Edward M. Behrens
article en
2 citations

Abstract

Accurate measurement of secreted proteins in serum and plasma is essential for understanding mechanisms and developing reliable biomarkers. Recent technological advancements, such as proximity extension assay (PEA), have enabled high-throughput multiplex protein analyses from small sample volumes in either serum or plasma. Despite the increasing use of PEA-based proteomics and the generation of extensive datasets, integrated data from these two mediums remains challenging due to inherent differences in sample processing. To address this issue, we developed and validated protein-specific transformation factors using linear modeling to normalize protein measurements between serum and plasma proteins quantified using Olink. Our analysis surveyed 1463 proteins across matched serum and plasma samples, identifying 686 transformation factors. The transformation factors were further validated using independent datasets generated from patients with different disease phenotypes and ages, and 551 of the models and transformation factors were reproducible. These transformation factors provide a valuable resource for normalizing PEA-based proteomic data across serum and plasma, ultimately enhancing the capacity for collaborative analyses and facilitating comprehensive insights across diverse disease phenotypes.

Molecular & Cellular ProteomicsVol. 24(7)
Children's Hospital of Philadelphia (US), Karolinska Institutet (SE), University of Pennsylvania (US), Philadelphia University (US)
Alex's Lemonade Stand Foundation for Childhood Cancer, Pennsylvania Department of Health
Openalex Percentile: Top 19%
Advanced Proteomics Techniques and Applications
1.51
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