Optimization of bottom-up proteomic sample preparation by design of experiments for absolute quantification of 257 proteins in human plasma using UPLC-MRM-MS

We successfully reduced protein digestion time from 18 hours (overnight) to 4 hours while maintaining relative digestion efficiency. We improved the sensitivity of the assay via the optimized workflow and were able to quantify proteins that previously fell below the LLOQ. These advancements, combined with automation, provide a practical, efficient, and reproducible workflow suitable for clinical research.

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Publication Details

Journal
Expert Review of Proteomics
Published
2025-05-04
DOI
https://doi.org/10.1080/14789450.2025.2504994
Citations
1
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.76
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article

Optimization of bottom-up proteomic sample preparation by design of experiments for absolute quantification of 257 proteins in human plasma using UPLC-MRM-MS

Kristrun Yr Holm, Finnur Freyr Eiríksson, Margrét Þorsteinsdóttir, Christoph H. Borchers et al.
1 citations
Expert Review of Proteomics
Advanced Proteomics Techniques and Applications
0.76
article

Optimization of bottom-up proteomic sample preparation by design of experiments for absolute quantification of 257 proteins in human plasma using UPLC-MRM-MS

Kristrun Yr Holm, Finnur Freyr Eiríksson, Margrét Þorsteinsdóttir, Christoph H. Borchers, Yassene Mohammed, Sigríður Klara Böðvarsdóttir, Kari Arnarson, Valdis Gunnarsdottir Thormar
article en
1 citations

Abstract

We successfully reduced protein digestion time from 18 hours (overnight) to 4 hours while maintaining relative digestion efficiency. We improved the sensitivity of the assay via the optimized workflow and were able to quantify proteins that previously fell below the LLOQ. These advancements, combined with automation, provide a practical, efficient, and reproducible workflow suitable for clinical research.

Expert Review of ProteomicsVol. 22(5)
University of Iceland (IS), Leiden University Medical Center (NL), McGill University (CA)
Openalex Percentile: Top 31%
Advanced Proteomics Techniques and Applications
0.76
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