Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Transcriptomic responses to antibiotic exposure in Mycobacterium tuberculosis

8 Apr 2024

Abstract excerpt

ABSTRACT Transcriptional responses in bacteria following antibiotic exposure offer insights into antibiotic mechanism of action, bacterial responses, and characterization of antimicrobial resistance. We aimed to define the transcriptional antibiotic response (TAR) in Mycobacterium tuberculosis (Mtb) isolates for clinically relevant drugs by pooling and analyzing Mtb microarray and RNA-seq data sets. We generated...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Antibiotic Resistance in Bacteria
Share to Mycobacterium research and diagnosis
Share to Tuberculosis Research and Epidemiology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 38587412
DOI: 10.1128/aac.01185-23

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Transcriptomic responses to antibiotic exposure in Mycobacterium tuberculosisPMID 38587412Read ↗

Genome-Wide Transcriptional Responses of Mycobacterium to AntibioticsSemantic proximity Read ↗

Core Antibiotic-Induced Transcriptional Signatures Reflect Susceptibility to All Members of an Antibiotic ClassSemantic proximity Read ↗

From Resistance Genes to Resistance States: A Transcriptomics-Driven Precision Medicine Framework for Antimicrobial TherapySemantic proximity Read ↗

Profiling persistent tubercule bacilli from patient sputa during therapy predicts early drug efficacySemantic proximity Read ↗

Alterations in molecular response of Mycobacterium tuberculosis against anti-tuberculosis drugs.Semantic proximity Read ↗

Machine Learning of Bacterial Transcriptomes Reveals Responses Underlying Differential Antibiotic SusceptibilitySemantic proximity Read ↗

Decomposition of transcriptional responses provides insights into differential antibiotic susceptibilitySemantic proximity Read ↗

Adaptive gene profiling of Mycobacterium tuberculosis during sub-lethal kanamycin exposure.Semantic proximity Read ↗

Mechanism-of-Action Classification of Antibiotics by Global Transcriptome ProfilingSemantic proximity Read ↗

Transcriptome signature of cell viability predicts drug response and drug interaction for TuberculosisSemantic proximity Read ↗

Differential transcriptomic and metabolic profiles of M. africanum- and M. tuberculosis-infected patients after, but not before, drug treatmentSemantic proximity Read ↗

Hierarchy and networks in the transcriptional response of <i>Mycobacterium abscessus</i> to antibioticsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.