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Published on: September 10, 2017
Recent advances in capillary electrophoresis-based proteomic techniques for biomarker discovery
Xueping Fang1, Brian M Balgley, Cheng S Lee
1Department of Chemistry and Biochemistry, University of Maryland, College Park, MD 20742, USA.
Discovering novel protein biomarkers for disease diagnosis and therapy requires sensitive methods. This review highlights advanced capillary electrophoresis and mass spectrometry techniques for analyzing tissue protein expression, overcoming limitations of fluid-based biomarker studies.
Area of Science:
- Proteomics
- Biomarker Discovery
- Analytical Chemistry
Background:
- Biomarker dilution in biological fluids limits current proteomic platforms.
- Tissue analysis offers a promising avenue for identifying novel disease biomarkers.
- Sensitive analytical techniques are crucial for detecting low-abundance biomarkers.
Purpose of the Study:
- To review recent advances in capillary electrophoresis-mass spectrometry for protein biomarker discovery.
- To discuss advanced sample preparation techniques for tissue proteomic analysis.
- To highlight the importance of comparative proteomics for identifying disease-associated markers and mechanisms.
Main Methods:
- Capillary electrophoresis (CE)-based single and multidimensional separations.
- Electrospray ionization-mass spectrometry (ESI-MS) for protein profiling.
- Advanced sample preparation: tissue microdissection, membrane protein extraction, heat-induced retrieval.
Main Results:
- CE-MS enables comprehensive and comparative analysis of protein expression in clinical specimens.
- Tissue microdissection and advanced extraction techniques facilitate targeted protein profiling.
- Comparative proteomic datasets provide insights into disease pathways and progression.
Conclusions:
- Tissue-based proteomics using advanced CE-MS techniques is essential for biomarker discovery.
- Effective sample preparation is critical for analyzing challenging clinical specimens.
- Contextual evaluation of proteomic data aids in biomarker validation and selection.
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