ArticleNature communications2026
Genome scale CRISPRi reveals both shared and strain-specific vulnerabilities in genetically diverse drug-resistant strains of Mycobacterium tuberculosis.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Adaptation-coupled CRISPRi identifies antibiotic-sensitizing genes leading to a novel plasmid selection marker.Nucleic acids research · 2026Article
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13 authors.
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Abstract
The global health burden caused by Mycobacterium tuberculosis is aggravated by the emergence and spread of drug resistance. Mutations that cause drug resistance can have collateral effects that increase the vulnerability of downstream pathways to inhibition. Here, using genome scale CRISPR interference we identified collateral effects associated with different drug-resistant genotypes of M. tuberculosis. We demonstrate that drug resistance generated shared vulnerabilities in several overlapping functional pathways. Most drug-resistant strains were more sensitive to tRNA synthetase knockdowns than the parental drug-sensitive strain, highlighting the potential of tRNA synthetases as high-value drug targets. Additionally, the rifampicin-resistant mutant RpoB(S450L) had increased sensitivity to the dysregulation of sulphur metabolism due to transcriptional dysregulation. This increased vulnerability did not translate to all rpoB genotypes but was linked to predicted effects on transcriptional dynamics. Amongst clinical isolates, non-synonymous mutations in sulphur metabolism genes have evolved in a geographic lineage specific manner to mitigate fitness costs associated with the collateral phenotypes of drug resistance. Combined, our findings highlight the power of functional genomics in pinpointing highly vulnerable drug targets across drug-resistant strains.
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