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Updated: Jun 1, 2026

Preparation of Mycobacterium tuberculosis Culture Filtrate to Understand TB Pathogenesis
Published on: March 28, 2025
Characterization and transcriptome analysis of Mycobacterium tuberculosis persisters.
Iris Keren1, Shoko Minami, Eric Rubin
1Antimicrobial Discovery Center and Department of Biology, Northeastern University, Boston, Massachusetts, USA.
Tuberculosis persister cells, dormant and drug-tolerant, increase during later growth phases. Understanding these Mycobacterium tuberculosis persisters may improve treatment strategies for tuberculosis.
Area of Science:
- Microbiology
- Molecular Biology
- Public Health
Background:
- Tuberculosis (TB) remains a significant global health challenge.
- Long treatment durations and latent infections hinder TB control efforts.
- Drug-tolerant persister cells in Mycobacterium tuberculosis may cause treatment difficulties.
Purpose of the Study:
- To investigate the prevalence and characteristics of Mycobacterium tuberculosis persister cells.
- To analyze the gene expression profile of persister cells.
- To identify potential core dormancy response genes.
Main Methods:
- Quantification of persister cells during different growth phases (lag, exponential, stationary).
- Isolation of persister cells using d-cycloserine treatment and centrifugation.
- Transcriptome analysis of persister cells via Affymetrix arrays.
Main Results:
- Persister cell numbers increase significantly in late exponential and stationary phases, comprising ~1% of the population.
- Persister cell transcriptomes show downregulated metabolic and biosynthetic pathways, indicating dormancy.
- A subset of genes is upregulated in persisters, potentially involved in their formation and maintenance.
Conclusions:
- Persister formation in Mycobacterium tuberculosis involves both stochastic and deterministic mechanisms.
- The identified upregulated genes in persisters may be crucial for their survival.
- A core dormancy response involving specific genes might exist across different in vitro dormancy models.
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