Harnessing glycomics technologies: Integrating structure with function for glycan characterization
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Sasisekharan_Harnessing glycomics.pdf
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Author(s) • • • • •
Artpradit, Charlermchai
Raman, Rahul
Shriver, Zachary H.
Ruchirawat, Mathuros
Sasisekharan, Ram
Robinson, Luke Nathaniel
Date Issued
April 2012
Journal
ELECTROPHORESIS
Publisher
Wiley Blackwell
Citation
Robinson, Luke N., Charlermchai Artpradit, Rahul Raman, Zachary H. Shriver, Mathuros Ruchirawat, and Ram Sasisekharan. “Harnessing Glycomics Technologies: Integrating Structure with Function for Glycan Characterization.” ELECTROPHORESIS 33, no. 5 (March 2012): 797–814.
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Author's final manuscript
Abstract
Glycans, or complex carbohydrates, are a ubiquitous class of biological molecule which impinge on a variety of physiological processes ranging from signal transduction to tissue development and microbial pathogenesis. In comparison to DNA and proteins, glycans present unique challenges to the study of their structure and function owing to their complex and heterogeneous structures and the dominant role played by multivalency in their sequence-specific biological interactions. Arising from these challenges, there is a need to integrate information from multiple complementary methods to decode structure–function relationships. Focusing on acidic glycans, we describe here key glycomics technologies for characterizing their structural attributes, including linkage, modifications, and topology, as well as for elucidating their role in biological processes. Two cases studies, one involving sialylated branched glycans and the other sulfated glycosaminoglycans, are used to highlight how integration of orthogonal information from diverse datasets enables rapid convergence of glycan characterization for development of robust structure–function relationships.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. School of Engineering
Koch Institute for Integrative Cancer Research at MIT
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DOI of Published Version
https://doi.org/10.1002/elps.201100231