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Chemically-blocked Antibody Microarray for Multiplexed High-throughput Profiling of Specific Protein Glycosylation in Complex Samples
Published on: May 4, 2012
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Three-Dimensionally Functionalized Reverse Phase Glycoprotein Array for Cancer Biomarker Discovery and Validation.
Li Pan, Hillary Andaluz Aguilar, Linna Wang
1Tymora Analytical Operations , West Lafayette, Indiana 47906, United States.
Journal of the American Chemical Society
|December 10, 2016
Summary
A new polymer-based reverse phase glycoprotein array (polyGPA) enables specific capture and profiling of glycoproteins, advancing their use as disease biomarkers. This method successfully identified potential bladder cancer biomarkers in urine.
Area of Science:
- Biochemistry
- Proteomics
- Glycomics
Background:
- Glycoproteins exhibit significant structural diversity crucial for biological functions.
- Glycoproteins hold promise as biomarkers for various diseases.
- Existing methods for glycoproteome analysis face challenges in specificity and sensitivity.
Purpose of the Study:
- To develop and validate a novel functionalized reverse phase protein array (RPPA) for specific glycoprotein capture and profiling, termed polymer-based reverse phase glycoprotein array (polyGPA).
- To assess the specificity, sensitivity, and quantitative capabilities of the polyGPA platform.
- To apply polyGPA and quantitative N-glycoproteomics for validating potential bladder cancer biomarkers in urine.
Main Methods:
- Functionalization of nitrocellulose membranes with globular hydroxyaminodendrimers for covalent capture of preoxidized glycans on glycoproteins.
- Utilizing the same validated antibodies as in RPPA for detecting captured glycoproteins.
- Applying quantitative N-glycoproteomics for comprehensive analysis of captured glycoproteins.
Main Results:
- The polyGPA demonstrated high specificity, sensitivity, and quantitative accuracy in capturing and detecting purified and endogenous α-1-acid glycoprotein (AGP) in human plasma.
- The study successfully validated a panel of glycoproteins as potential biomarkers for bladder cancer using urine samples from patients and healthy individuals.
Conclusions:
- The developed polyGPA platform offers a robust and specific method for glycoproteome analysis.
- PolyGPA holds significant potential for biomarker discovery and validation, particularly in complex biological samples like biofluids.
- This approach advances the utility of glycoproteins as diagnostic and prognostic markers for diseases such as bladder cancer.
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