Contribution and Future of High-Throughput Transcriptomics in Battling Tuberculosis

While Tuberculosis (TB) infection remains a serious challenge worldwide, big data and " " approaches have greatly contributed to the understanding of the disease. Transcriptomics have been used to tackle a wide variety of queries including diagnosis, treatment evolution, latency and reacti...

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Published inFrontiers in microbiology Vol. 13; p. 835620
Main Authors Martínez-Pérez, Amparo, Estévez, Olivia, González-Fernández, África
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 24.02.2022
Subjects
immune response
microarray
Microbiology
mycobacteria
RNA-sequencing
transcriptomics
tuberculosis
RNA-sequencing
microarray
immune response
tuberculosis
transcriptomics
drug resistance
mycobacteria
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Summary:While Tuberculosis (TB) infection remains a serious challenge worldwide, big data and " " approaches have greatly contributed to the understanding of the disease. Transcriptomics have been used to tackle a wide variety of queries including diagnosis, treatment evolution, latency and reactivation, novel target discovery, vaccine response or biomarkers of protection. Although a powerful tool, the elevated cost and difficulties in data interpretation may hinder transcriptomics complete potential. Technology evolution and collaborative efforts among multidisciplinary groups might be key in its exploitation. Here, we discuss the main fields explored in TB using transcriptomics, and identify the challenges that need to be addressed for a real implementation in TB diagnosis, prevention and therapy.
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Reviewed by: Gang Cao, Huazhong Agricultural University, China; Margarida Saraiva, Universidade do Porto, Portugal; Htin Lin Aung, University of Otago, New Zealand
Edited by: Joanna Kirman, University of Otago, New Zealand
This article was submitted to Infectious Agents and Disease, a section of the journal Frontiers in Microbiology
ISSN:1664-302X
1664-302X
DOI:10.3389/fmicb.2022.835620