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Glycomics-Guided Glycoproteomics Facilitates Comprehensive Profiling of the Glycoproteome in Complex Tumor Microenvironments

Glycomics-Guided Glycoproteomics Facilitates Comprehensive Profiling of the Glycoproteome in Complex Tumor Microenvironments

Published on: February 7, 2025

Glycomics for Microbes and Microbiologists.

Peter N Lipke¹

¹Biology Department, Brooklyn College of the City University of New York, Brooklyn, New York, USA plipke@brooklyn.cuny.edu.

|August 11, 2016

Summary

This summary is machine-generated.

This study introduces a novel method for microbial carbohydrate analysis, identifying host receptors for microbial adhesins. The technique predicts new glycoprotein ligands, including an E. coli FimH interaction with HIV gp120.

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Bioinformatics Resources for the Study of Glycan-Mediated Protein Interactions

Bioinformatics Resources for the Study of Glycan-Mediated Protein Interactions

Published on: January 20, 2022

Area of Science:

Microbiology
Glycobiology
Bioinformatics

Background:

Microbial pathogenic adhesins play crucial roles in host-pathogen interactions.
Understanding host receptor recognition by microbial adhesins is vital for developing therapeutics.
Current methods for identifying these interactions are limited.

Purpose of the Study:

To develop a novel network-based approach for identifying host receptors of microbial pathogenic adhesins.
To leverage lectin-glycan interactions for predicting novel host-microbe binding events.
To analyze and visualize potential ligand occurrences across different organisms, tissues, and disease states.

Main Methods:

Oligosaccharides were printed on a chip to analyze lectin binding patterns.
A comprehensive glycan database was integrated with the experimental output.
Data visualization tools were employed to highlight potential ligand occurrences.
The analysis predicted novel glycoprotein ligands for microbial lectins.

Main Results:

A new technique for microbial carbohydrate analysis was established.
Specific carbohydrate ligands were identified based on lectin binding patterns.
The analysis successfully predicted novel glycoprotein ligands for microbial lectins.
An interaction between E. coli FimH and HIV gp120 was identified.

Conclusions:

The developed method provides a powerful tool for dissecting microbial-host interactions at the carbohydrate level.
This approach facilitates the discovery of novel host receptors for microbial pathogens.
The findings have implications for understanding infectious diseases and developing targeted interventions.