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Profiling Mtb expression during hypoxia and reaeration by RNA-seq

ABSTRACT: We hypothesized that transcription factor activities found to be predictive of overall Mycobacterium tuberculosis (Mtb) fitness in a pooled culture of transcription factor induction strains could also be used to predict growth phenotypes under other growth conditions using interpretable machine learning models. To test, we measured Mtb transcriptional responses grown under hypoxic and reaeration stress without recombinant transcription factor perturbation as input data for our modeling.

ORGANISM(S): Mycobacterium tuberculosis H37Rv

PROVIDER: GSE292331 | GEO | 2025/03/19

REPOSITORIES: GEO

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