Understanding microbial infections using microarray technology

Lawrence O. Flowers *

Biology Department, Livingstone College, 701 West Monroe Street, Salisbury, NC 28144 - United States.
 
Review
International Journal of Science and Research Archive, 2021, 02(01), 131-135.
Article DOI: 10.30574/ijsra.2021.2.1.0033
Publication history: 
Received on 15 January 2021; revised on 19 February 2021; accepted on 21 February 2021
 
Abstract: 
Human microbial infections are symbiotic processes between pathogens and humans that often lead to human disease and death. Microbial infections involve the attachment, growth, and survival of microorganisms on human skin, inside the body, or inside specific cells.
Microbial infections can be localized to one body region or migrate to secondary body locations utilizing various transport mechanisms. Understanding host-pathogen interactions related to the expression of essential genes during and after infection can lead to valuable information for biologists and clinicians. Microarray technologies allow researchers to perform genomic characterization experiments rapidly and efficiently. Microarray experiments support the resolution of underlying molecular events that play a role in normal and aberrant physiologic activities in living systems. Microarray technology, coupled with bioinformatics analysis, generates comprehensive insights into relevant genes, proteins, and protein-protein interactions. This review article explores recent microarray research studies from select protozoan and bacterial pathogens to illustrate how researchers utilize microarray technology to examine microbial infection aspects. Microarray studies of pathogen and host genomes at various stages of the infection process will generate a more precise understanding of pathogenic life cycles and pathogen survival strategies. Detailed knowledge of the genes involved in the microbial infection process will lead to discovering disease biomarkers and potent therapeutic solutions.
 
Keywords: 
Microarray technology; Bacteria; Protozoa; Bioinformatics analysis
 
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Copyright © 2021 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0