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.
Authors
- Soo Heon Kwak (ORCID: https://orcid.org/0000-0003-1230-0919)
- Hophil Min (ORCID: https://orcid.org/0000-0002-2791-406X)
- Hyunbeom Lee (ORCID: https://orcid.org/0000-0001-6954-7520)
- Min‐Kyu Oh (ORCID: https://orcid.org/0000-0001-6406-3930)
- Yoondam Seo
- Inseon Kang
- Hyeonjeong Lee (ORCID: https://orcid.org/0000-0003-2028-3557)
- Jiin Hwang
Institutions
- 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)
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
Funders
- Ministry of Food and Drug Safety
- Korea Institute of Science and Technology