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Bioinformatics Resources for the Study of Glycan-Mediated Protein Interactions
Published on: January 20, 2022
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Functional Interface for Glycoprotein Sensing: Focusing on Biosensors
Ke Qu1, Jinghong Li2
1College of Materials and Chemistry & Chemical Engineering, Chengdu University of Technology, Chengdu 610059, P. R. China.
Summary
Glycoproteins are vital biomarkers for tumor diagnosis. This review highlights biosensor interfaces and signal amplification techniques for sensitive glycoprotein detection.
Area of Science:
- Biochemistry and Biomedical Engineering
- Glycobiology
- Biosensor Technology
Background:
- Glycoproteins are essential glycoconjugates involved in critical biological processes.
- Glycoproteins serve as significant biomarkers for diagnosing and managing various cancers.
- Biosensors offer a promising platform for effective glycoprotein detection.
Purpose of the Study:
- To review functional sensing interfaces for glycoprotein detection in biosensors.
- To discuss various receptor types used for glycoprotein recognition.
- To highlight signal amplification strategies for detecting low-abundance glycoproteins.
Main Methods:
- Review of literature on glycoprotein biosensor interfaces.
- Discussion of receptor candidates including antibodies, aptamers, lectins, and molecularly imprinted polymers.
- Focus on nucleic acid-mediated and nanomaterial-mediated signal amplification techniques.
Main Results:
- Various functional interfaces, including antibodies, peptides, aptamers, boronic acid derivatives, lectins, and molecularly imprinted polymers, are suitable for glycoprotein recognition.
- Signal amplification techniques are crucial for detecting low-abundance glycoproteins.
- Nucleic acid and nanomaterial-based amplification methods are effective strategies.
Conclusions:
- The choice of functional interface is critical for biosensor selectivity and sensitivity in glycoprotein detection.
- Signal amplification is indispensable for the sensitive detection of low-abundance glycoproteins.
- This review provides insights into advanced biosensing strategies for glycoprotein analysis.
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