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Application of Lectin Microarrays for Biomarker Discovery
Many proteins in living organisms are glycosylated. As their glycan patterns exhibit protein‐, cell‐, and tissue‐specific heterogeneity, changes in the glycosylation levels could serve as useful indicators of various pathological and physiological states. Thus, the identification of glycoprotein bio...
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Published in: | ChemistryOpen (Weinheim) 2020-03, Vol.9 (3), p.285-300 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Many proteins in living organisms are glycosylated. As their glycan patterns exhibit protein‐, cell‐, and tissue‐specific heterogeneity, changes in the glycosylation levels could serve as useful indicators of various pathological and physiological states. Thus, the identification of glycoprotein biomarkers from specific changes in the glycan profiles of glycoproteins is a trending field. Lectin microarrays provide a new glycan analysis platform, which enables rapid and sensitive analysis of complex glycans without requiring the release of glycans from the protein. Recent developments in lectin microarray technology enable high‐throughput analysis of glycans in complex biological samples. In this review, we will discuss the basic concepts and recent progress in lectin microarray technology, the application of lectin microarrays in biomarker discovery, and the challenges and future development of this technology. Given the tremendous technical advancements that have been made, lectin microarrays will become an indispensable tool for the discovery of glycoprotein biomarkers.
A powerful tool to find novel biomarkers! Lectin microarray technology is a fast, high‐throughput, and inexpensive tool for the discovery of glycol‐biomarkers in complex biological samples. This review summarizes the recent progress and application of lectin microarrays in biomarker discovery under different physiopathological states. |
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ISSN: | 2191-1363 2191-1363 |
DOI: | 10.1002/open.201900326 |