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Contribution and Future of High-Throughput Transcriptomics in Battling Tuberculosis
While Tuberculosis (TB) infection remains a serious challenge worldwide, big data and “omic” 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,...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8908424/ https://www.ncbi.nlm.nih.gov/pubmed/35283833 http://dx.doi.org/10.3389/fmicb.2022.835620 |
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author | Martínez-Pérez, Amparo Estévez, Olivia González-Fernández, África |
author_facet | Martínez-Pérez, Amparo Estévez, Olivia González-Fernández, África |
author_sort | Martínez-Pérez, Amparo |
collection | PubMed |
description | While Tuberculosis (TB) infection remains a serious challenge worldwide, big data and “omic” 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. |
format | Online Article Text |
id | pubmed-8908424 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89084242022-03-11 Contribution and Future of High-Throughput Transcriptomics in Battling Tuberculosis Martínez-Pérez, Amparo Estévez, Olivia González-Fernández, África Front Microbiol Microbiology While Tuberculosis (TB) infection remains a serious challenge worldwide, big data and “omic” 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. Frontiers Media S.A. 2022-02-24 /pmc/articles/PMC8908424/ /pubmed/35283833 http://dx.doi.org/10.3389/fmicb.2022.835620 Text en Copyright © 2022 Martínez-Pérez, Estévez and González-Fernández. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Martínez-Pérez, Amparo Estévez, Olivia González-Fernández, África Contribution and Future of High-Throughput Transcriptomics in Battling Tuberculosis |
title | Contribution and Future of High-Throughput Transcriptomics in Battling Tuberculosis |
title_full | Contribution and Future of High-Throughput Transcriptomics in Battling Tuberculosis |
title_fullStr | Contribution and Future of High-Throughput Transcriptomics in Battling Tuberculosis |
title_full_unstemmed | Contribution and Future of High-Throughput Transcriptomics in Battling Tuberculosis |
title_short | Contribution and Future of High-Throughput Transcriptomics in Battling Tuberculosis |
title_sort | contribution and future of high-throughput transcriptomics in battling tuberculosis |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8908424/ https://www.ncbi.nlm.nih.gov/pubmed/35283833 http://dx.doi.org/10.3389/fmicb.2022.835620 |
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