Next Article in Journal
SNP Array in Hematopoietic Neoplasms: A Review
Next Article in Special Issue
Glycoarray Technologies: Deciphering Interactions from Proteins to Live Cell Responses
Previous Article in Journal
Mining the Dynamic Genome: A Method for Identifying Multiple Disease Signatures Using Quantitative RNA Expression Analysis of a Single Blood Sample
Please note that, as of 18 July 2017, Microarrays has been renamed to High-Throughput and is now published here.
Open AccessReview

Assessing Bacterial Interactions Using Carbohydrate-Based Microarrays

1
Carbohydrate Signalling Group, Microbiology, School of Natural Sciences, National University of Ireland Galway, Galway, Ireland
2
Advanced Glycoscience Research Cluster, National Centre for Biomedical Engineering Science, National University of Ireland Galway, Galway, Ireland
3
Regenerative Medicine Institute, National University of Ireland Galway, Galway, Ireland
4
Glycoscience Group, National Centre for Biomedical Engineering Science, National University of Ireland Galway, Galway, Ireland
*
Author to whom correspondence should be addressed.
Academic Editor: Massimo Negrini
Microarrays 2015, 4(4), 690-713; https://doi.org/10.3390/microarrays4040690
Received: 20 October 2015 / Revised: 1 December 2015 / Accepted: 8 December 2015 / Published: 10 December 2015
(This article belongs to the Special Issue Carbohydrate Microarrays)
Carbohydrates play a crucial role in host-microorganism interactions and many host glycoconjugates are receptors or co-receptors for microbial binding. Host glycosylation varies with species and location in the body, and this contributes to species specificity and tropism of commensal and pathogenic bacteria. Additionally, bacterial glycosylation is often the first bacterial molecular species encountered and responded to by the host system. Accordingly, characterising and identifying the exact structures involved in these critical interactions is an important priority in deciphering microbial pathogenesis. Carbohydrate-based microarray platforms have been an underused tool for screening bacterial interactions with specific carbohydrate structures, but they are growing in popularity in recent years. In this review, we discuss carbohydrate-based microarrays that have been profiled with whole bacteria, recombinantly expressed adhesins or serum antibodies. Three main types of carbohydrate-based microarray platform are considered; (i) conventional carbohydrate or glycan microarrays; (ii) whole mucin microarrays; and (iii) microarrays constructed from bacterial polysaccharides or their components. Determining the nature of the interactions between bacteria and host can help clarify the molecular mechanisms of carbohydrate-mediated interactions in microbial pathogenesis, infectious disease and host immune response and may lead to new strategies to boost therapeutic treatments. View Full-Text
Keywords: bacteria; carbohydrate microarrays; glycan microarrays; adhesins; mucins; bacterial polysaccharides; cross-talk; microorganisms; polysaccharides; glycomics bacteria; carbohydrate microarrays; glycan microarrays; adhesins; mucins; bacterial polysaccharides; cross-talk; microorganisms; polysaccharides; glycomics
Show Figures

Figure 1

MDPI and ACS Style

Flannery, A.; Gerlach, J.Q.; Joshi, L.; Kilcoyne, M. Assessing Bacterial Interactions Using Carbohydrate-Based Microarrays. Microarrays 2015, 4, 690-713.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

1
Back to TopTop