Transcriptomic Signatures Predict Regulators of Drug Synergy and Clinical Regimen Efficacy against Tuberculosis

Transcriptomic Signatures Predict Regulators of Drug Synergy and Clinical Regimen Efficacy against Tuberculosis

ABSTRACT The rapid spread of multidrug-resistant strains has created a pressing need for new drug regimens to treat tuberculosis (TB), which kills 1.8 million people each year. Identifying new regimens has been challenging due to the slow growth of the pathogen Mycobacterium tuberculosis (MTB), coup...

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Bibliographic Details
Main Authors: Shuyi Ma, Suraj Jaipalli, Jonah Larkins-Ford, Jenny Lohmiller, Bree B. Aldridge, David R. Sherman, Sriram Chandrasekaran
Format: Article
Language:English
Published: American Society for Microbiology 2019-12-01
Series:mBio
Subjects:
tuberculosis
drug combinations
transcription factors
drug synergy
transcriptomics
Mycobacterium tuberculosis
Online Access:https://journals.asm.org/doi/10.1128/mBio.02627-19

Internet

https://journals.asm.org/doi/10.1128/mBio.02627-19

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