[HTML][HTML] The evolving biology of Mycobacterium tuberculosis drug resistance

RM Jones, KN Adams, HE Eldesouky… - Frontiers in cellular and …, 2022 - frontiersin.org
Tuberculosis, caused by Mycobacterium tuberculosis (Mtb) is an ancient disease that has
remained a leading cause of infectious death. Mtb has evolved drug resistance to every …

[HTML][HTML] Perspectives for systems biology in the management of tuberculosis

I Kontsevaya, C Lange… - European …, 2021 - Eur Respiratory Soc
Standardised management of tuberculosis may soon be replaced by individualised,
precision medicine-guided therapies informed with knowledge provided by the field of …

Carprofen elicits pleiotropic mechanisms of bactericidal action with the potential to reverse antimicrobial drug resistance in tuberculosis

A Maitra, D Evangelopoulos, A Chrzastek… - Journal of …, 2020 - academic.oup.com
Background The rise of antimicrobial drug resistance in Mycobacterium tuberculosis
coupled with the shortage of new antibiotics has elevated TB to a major global health …

Multi-omics technologies applied to tuberculosis drug discovery

A Goff, D Cantillon, L Muraro Wildner, SJ Waddell - Applied Sciences, 2020 - mdpi.com
Multi-omics strategies are indispensable tools in the search for new anti-tuberculosis drugs.
Omics methodologies, where the ensemble of a class of biological molecules are measured …

Application of combined CRISPR screening for genetic and chemical-genetic interaction profiling in Mycobacterium tuberculosis

MY Yan, D Zheng, SS Li, XY Ding, CL Wang… - Science …, 2022 - science.org
CRISPR screening, including CRISPR interference (CRISPRi) and CRISPR-knockout
(CRISPR-KO) screening, has become a powerful technology in the genetic screening of …

[HTML][HTML] Using omics to study leprosy, tuberculosis, and other mycobacterial diseases

N Ahamad, S Gupta, D Parashar - Frontiers in Cellular and Infection …, 2022 - frontiersin.org
Mycobacteria are members of the Actinomycetales order, and they are classified into one
family, Mycobacteriaceae. More than 20 mycobacterial species cause disease in humans …

A multi-scale pipeline linking drug transcriptomics with pharmacokinetics predicts in vivo interactions of tuberculosis drugs

JM Cicchese, A Sambarey, D Kirschner… - Scientific Reports, 2021 - nature.com
Tuberculosis (TB) is the deadliest infectious disease worldwide. The design of new
treatments for TB is hindered by the large number of candidate drugs, drug combinations …

A flux-based machine learning model to simulate the impact of pathogen metabolic heterogeneity on drug interactions

CH Chung, S Chandrasekaran - PNAS nexus, 2022 - academic.oup.com
Drug combinations are a promising strategy to counter antibiotic resistance. However,
current experimental and computational approaches do not account for the entire complexity …

The pursuit of mechanism of action: uncovering drug complexity in TB drug discovery

T Yuan, JM Werman, NS Sampson - RSC chemical biology, 2021 - pubs.rsc.org
Whole cell-based phenotypic screens have become the primary mode of hit generation in
tuberculosis (TB) drug discovery during the last two decades. Different drug screening …

Transcriptional regulator-induced phenotype screen reveals drug potentiators in Mycobacterium tuberculosis

S Ma, R Morrison, SJ Hobbs, V Soni… - Nature …, 2021 - nature.com
Transposon-based strategies provide a powerful and unbiased way to study the bacterial
stress response,,,,,,–, but these approaches cannot fully capture the complexities of network …