Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/229
Title: | Lectin microarrays for glycomic analysis |
Authors: | Sampathkumar, Srinivasa-Gopalan Gupta, Garima Surolia, Avadhesha |
Keywords: | Chemical biology |
Issue Date: | Aug-2010 |
Publisher: | Mary Ann Liebert, Inc. |
Abstract: | Glycomics is the study of comprehensive structural elucidation and characterization of all glycoforms found in nature and their dynamic spatiotemporal changes that are associated with biological processes. Glycocalyx of mammalian cells actively participate in cell-cell, cell-matrix, and cell-pathogen interactions, which impact embryogenesis, growth and development, homeostasis, infection and immunity, signaling, malignancy, and metabolic disorders. Relative to genomics and proteomics, glycomics is just growing out of infancy with great potential in biomedicine for biomarker discovery, diagnosis, and treatment. However, the immense diversity and complexity of glycan structures and their multiple modes of interactions with proteins pose great challenges for development of analytical tools for delineating structure function relationships and understanding glyco-code. Several tools are being developed for glycan profiling based on chromatography, mass spectrometry, glycan microarrays, and glyco-informatics. Lectins, which have long been used in glyco-immunology, printed on a microarray provide a versatile platform for rapid high throughput analysis of glycoforms of biological samples. Herein, we summarize technological advances in lectin microarrays and critically review their impact on glycomics analysis. Challenges remain in terms of expansion to include nonplant derived lectins, standardization for routine clinical use, development of recombinant lectins, and exploration of plant kingdom for discovery of novel lectins. |
URI: | http://hdl.handle.net/123456789/229 |
Appears in Collections: | Chemical Glycobiology, Publications Chemical Glycobiology, Publications |
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Lectin microarrays for glycomic analysis.pdf | 424.28 kB | Adobe PDF | View/Open Request a copy |
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