101. Solid and Suspension Microarrays for Detection and Identification of Infectious Diseases
- Author
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Janet Farhang, Heng Qian, Sabrina Ali, Shubhagata Das, and Sherry A. Dunbar
- Subjects
Prediction algorithms ,Antibiotic resistance ,Microarray ,Molecular microbiology ,Computer science ,medicine.medical_treatment ,medicine ,Identification (biology) ,Computational biology ,DNA microarray ,Genotyping ,Targeted therapy - Abstract
Advances in microarray technologies have provided new platforms that are being widely adopted for use in the molecular microbiology laboratory. Microarrays are particularly well suited for diagnostics as they allow multiplexing, or the ability to test for multiple targets simultaneously from the same specimen. Microarray technologies commonly used for the detection and identification of microbial targets include both solid-state (planar) microarrays and bead-based suspension microarrays. Microarray methods have been applied to microbial detection, genotyping, and antimicrobial resistance gene detection. Microarrays can offer a panel approach to diagnose specific conditions, such as respiratory or gastrointestinal infections, and can discriminate isolates by genotype for epidemiological investigations. As more information becomes available on the genes involved in antimicrobial resistance, microarrays can assist in predicting susceptibility based on sequence detection in specific organisms. With further advances in automated microarray processing methods, data analysis software, and genotype-phenotype prediction algorithms, these tests will become even more useful as an addition to or replacement for conventional microbiology and antimicrobial susceptibility testing, allowing for more rapid and targeted therapy for infectious diseases.
- Published
- 2018
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