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Automatic Blood Protein Enrichment by Magnetic-COF Polymers
Yuanyu Huang1, T Mamie Lih1, Zhenyu Sun1
1Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.
Analytical Chemistry
|April 2, 2026
Summary
This study introduces an automated platform for blood proteome analysis, identifying over 4000 proteins. This innovation enhances disease diagnosis and monitoring by overcoming challenges in detecting low-abundance proteins.
Area of Science:
- Biochemistry
- Proteomics
- Biomedical Engineering
Background:
- Blood proteome analysis is crucial for disease diagnosis and monitoring.
- High-abundance proteins in blood obscure low-abundance targets, posing analytical challenges.
- Automation is essential for reproducible and routine proteomic workflows.
Purpose of the Study:
- To develop an automated platform for comprehensive blood proteome analysis.
- To overcome the limitations of high-abundance proteins in blood samples.
- To facilitate the discovery of biomarkers for diseases like pancreatic ductal adenocarcinoma.
Main Methods:
- Integration of Magnetic-COF (Covalent Organic Framework) for protein capture.
- Utilization of scalable robotic handling for automated sample processing.
- Liquid Chromatography-Mass Spectrometry/Mass Spectrometry (LC-MS/MS) for protein identification.
Main Results:
- Identification of over 4000 plasma proteins.
- Achieved a throughput of 30 samples per day.
- Demonstrated a strategy combining molecular selectivity, magnetic enrichment, and automation.
Conclusions:
- The developed platform addresses key limitations in current blood proteomics.
- This automated approach provides a flexible foundation for proteomic research and discovery.
- The platform shows promise for identifying biomarkers in diseases such as pancreatic ductal adenocarcinoma.
