ArticleMolecular & cellular proteomics : MCP2025
A Method for Comparing Proteins Measured in Serum and Plasma by Olink Proximity Extension Assay.
Article in Molecular & cellular proteomics : MCP, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Thymic stromal lymphopoietin expression in different biological specimens in asthma: a systematic review and meta-analysis.Frontiers in allergy · 2025Pooled it
- Multi-omics integration of proteomics and metabolomics in pediatric health and disease.Communications medicine · 2026Review
- Proteomic Profiling Using a Proximity Extension Assay Panel on Serum Samples Stored at -25°C Over Several Decades.Proteomics · 2026Article
- LC-MS/MS Profiling of Blood Serum Reveals Disease-Enriched Peptides in Metabolic Syndrome.Journal of personalized medicine · 2026Article
- Bridging the gap: A systematic approach to integrating serum and plasma proteomic datasets for biomarker studies.Journal of pharmaceutical and biomedical analysis · 2026Article
- Circulating proteomic landscape of lung function.The European respiratory journal · 2026Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.