Back to search

Article

An evolutionary functional genomics approach identifies novel candidate regions involved in isoniazid resistance in <i>Mycobacterium tuberculosis</i>

2020-06-18

Abstract excerpt

Efforts to eradicate tuberculosis are hampered by the rise and spread of antibiotic resistance. Several large-scale projects have aimed to specifically link clinical mutations to resistance phenotypes, but they were limited in both their explanatory and predictive powers. Here, we combine functional genomics and phylogenetic associations using clinical strain genomes to decipher the architecture of isoniazid resis...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
f86e9584-fd7a-5d37-b87e-0170e2d1fcd0
DOI
10.1101/2020.06.17.154062
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
An evolutionary functional genomics approach identifies novel candidate regions involved in isoniazid resistance in <i>Mycobacterium tuberculosis</i>DOI 10.1101/2020.06.17.154062
An evolutionary functional genomics approach identifies novel candidate regions involved in isoniazid resistance in Mycobacterium tuberculosisSemantic proximity
KatG inactivation generates vulnerabilities in isoniazid resistant strains of <i>Mycobacterium tuberculosis</i>Semantic proximity
Understanding the epidemiology and pathogenesis of <i>Mycobacterium tuberculosis</i> with non-redundant pangenome and population geneticsSemantic proximity
Genomics epidemiology analysis reveals hidden signatures of drug resistance in <i>Mycobacterium tuberculosis</i>Semantic proximity
Encoded metabolic remodeling amplifies drug resistance in <i>Mycobacterium tuberculosis</i>Semantic proximity
Comparative Genomics Shows Differences in the Electron Transport and Carbon Metabolic Pathways of <i>Mycobacterium africanum</i> relative to <i>Mycobacterium tuberculosis</i> and suggests an adaptation to low oxygen tensionSemantic proximity
Whole genome CRISPRi screening identifies druggable vulnerabilities in an isoniazid resistant strain of Mycobacterium tuberculosis.Semantic proximity
Longitudinal whole genome analysis of pre and post drug treatment Mycobacterium tuberculosis isolates reveals progressive steps to drug resistance.Semantic proximity
The molecular basis for prognosis of isoniazid resistance in<i>Mycobacterium tuberculosis</i>Semantic proximity
Structure-aware <i>M. tuberculosis</i> functional annotation uncloaks resistance, metabolic, and virulence genesSemantic proximity
Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistanceSemantic proximity
A <i>FLOT1</i> host regulatory allele is associated with a recently expanded <i>Mtb</i> clade in patients with tuberculosisSemantic proximity
Select a neighboring publication to make it the new centre.