RT Journal Article
T1 Contribution and future of high-throughput transcriptomics in battling tuberculosis
A1 Martinez Perez, Amparo
A1 Estévez Martínez, Olivia
A1 González Fernández, Maria Africa
K1 3205.08 Enfermedades Pulmonares
K1 2412 Inmunología
AB 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
PB Frontiers in Microbiology
SN 1664302X
YR 2022
FD 2022-02-24
LK http://hdl.handle.net/11093/4216
UL http://hdl.handle.net/11093/4216
LA spa
NO Frontiers in Microbiology, 13, 835620 (2022)
NO Xunta de Galicia | Ref. ED431C 2016/041
DS Investigo
RD 05-dic-2024