Simple and robust high-throughput serum proteomics workflow with low-microflow LC–MS/MS

Clinical proteomics has substantially advanced in identifying and quantifying proteins from biofluids, such as blood, contributing to the discovery of biomarkers. The throughput and reproducibility of serum proteomics for large-scale clinical sample analyses require improvements. High-throughput analysis typically relies on automated equipment, which can be costly and has limited accessibility. In this study, we present a rapid, high-throughput workflow low-microflow LC-MS/MS method without automation. This workflow was optimized to minimize the preparation time and costs by omitting the depletion and desalting steps. The developed method was applied to data-independent acquisition (DIA) analysis of 235 samples, and it consistently yielded approximately 6000 peptides and 600 protein groups, including 33 FDA-approved biomarkers. Our results demonstrate that an 18-min DIA high-throughput workflow, assessed through intermittently collected quality control samples, ensures reproducibility and stability even with 2 µL of serum. It was successfully used to analyze serum samples from patients with diabetes having chronic kidney disease (CKD), and could identify five dysregulated proteins across various CKD stages.

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Publication Details

Journal
Analytical and Bioanalytical Chemistry
Published
2024-10-18
DOI
https://doi.org/10.1007/s00216-024-05603-3
Citations
1
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.24

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Simple and robust high-throughput serum proteomics workflow with low-microflow LC–MS/MS

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article

Simple and robust high-throughput serum proteomics workflow with low-microflow LC–MS/MS

Soo Heon Kwak, Hophil Min, Hyunbeom Lee, Min‐Kyu Oh, Yoondam Seo, Inseon Kang, Hyeonjeong Lee, Jiin Hwang
article en
1 citations

Abstract

Clinical proteomics has substantially advanced in identifying and quantifying proteins from biofluids, such as blood, contributing to the discovery of biomarkers. The throughput and reproducibility of serum proteomics for large-scale clinical sample analyses require improvements. High-throughput analysis typically relies on automated equipment, which can be costly and has limited accessibility. In this study, we present a rapid, high-throughput workflow low-microflow LC-MS/MS method without automation. This workflow was optimized to minimize the preparation time and costs by omitting the depletion and desalting steps. The developed method was applied to data-independent acquisition (DIA) analysis of 235 samples, and it consistently yielded approximately 6000 peptides and 600 protein groups, including 33 FDA-approved biomarkers. Our results demonstrate that an 18-min DIA high-throughput workflow, assessed through intermittently collected quality control samples, ensures reproducibility and stability even with 2 µL of serum. It was successfully used to analyze serum samples from patients with diabetes having chronic kidney disease (CKD), and could identify five dysregulated proteins across various CKD stages.

Analytical and Bioanalytical ChemistryVol. 416(29)
Korea University (KR), Seoul National University Hospital (KR), Advanced Analysis Center (JP), Hanyang University Medical Center (KR), Korea Institute of Science and Technology (KR), Korea University of Science and Technology (KR)
Ministry of Food and Drug Safety, Korea Institute of Science and Technology
Industry, innovation and infrastructure
Openalex Percentile: Top 49%
Advanced Proteomics Techniques and Applications
0.24
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