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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/29065
Title: MICROBIAL GLYCOSIDE HYDROLASE MEDIATED MODIFICATION OF HOST CELL SURFACE GLYCANS
Authors: Pasupathi, Aarthi
Advisor: Surette, Michael
Department: Biochemistry and Biomedical Sciences
Keywords: Glycoside Hydrolase;endo-β-N-acetylglucosaminidases;N-glycans;GH18;GH85;Sequence similarity network;enzyme specificity
Publication Date: 2023
Abstract: All cells and extracellular matrices of prokaryotes and eukaryotes are made up of glycans, the carbohydrate macromolecules that play a predominant role in cell-to-cell interaction, protection, stabilization, and barrier functions. Glycans are also central to human microbiome-host interactions where bacterial glycans are recognized by innate immune signaling pathways, and host mucins are a major nutrient source for various gut bacteria. Many microorganisms encode glycoside hydrolases (GHs) to utilize the available host cell surface glycans as a nutrient source and to modulate host protein function. The GHs are divided into families having conserved linkage specificity within each family and individual family members can be specific for dramatically divergent macromolecular substrates. In general, within a given GH family very few members have been biochemically characterized and the substrate specificity is poorly understood. GH genes are abundant in the human gut microbiome and culture-enriched metagenomics identified more than 10,000 distinct bacterial GH genes in an individual. The focus of this thesis is endo-β-N-acetylglucosaminidases (ENGases) encoded by GH18 and GH85 families. Bioinformatic analysis shows that the predicted proteins within each of these GH families fell into separate clusters in the Sequence Similarity Networks of each family. The hypothesis of this project is that human microbiome-encoded ENGases from the same GH family differ in their substrate specificities and within the SSN network of the same GH family, enzymes with similar substrate specificity may fall in the same cluster. In this work, I established conditions for overexpression of GH18 and GH85 proteins and investigated the activity of these enzymes on various substrates.
URI: http://hdl.handle.net/11375/29065
Appears in Collections:Open Access Dissertations and Theses

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