A chemical-genetic map of the pathways controlling drug potency in Mycobacterium tuberculosis
Li, S.; Poulton, N. C.; Chang, J. S.; Azadian, Z. A.; Dejusus, M. A.; Ruecker, N.; Zimmerman, M. D.; Eckartt, K.; Bosch, B.; Engelhart, C. A.; Sullivan, D.; Gengenbacher, M.; Dartois, V. A.; Schnappinger, D.; Rock, J. M.
Show abstract
Mycobacterium tuberculosis (Mtb) infection is notoriously difficult to treat. Treatment efficacy is limited by Mtbs intrinsic drug resistance, as well as its ability to evolve acquired resistance to all antituberculars in clinical use. A deeper understanding of the bacterial pathways that govern drug efficacy could facilitate the development of more effective therapies to overcome resistance, identify new mechanisms of acquired resistance, and reveal overlooked therapeutic opportunities. To define these pathways, we developed a CRISPR interference chemical-genetics platform to titrate the expression of Mtb genes and quantify bacterial fitness in the presence of different drugs. Mining this dataset, we discovered diverse and novel mechanisms of intrinsic drug resistance, unveiling hundreds of potential targets for synergistic drug combinations. Combining chemical-genetics with comparative genomics of Mtb clinical isolates, we further identified numerous new potential mechanisms of acquired drug resistance, one of which is associated with the emergence of a multidrug-resistant tuberculosis (TB) outbreak in South America. Lastly, we make the unexpected discovery of an "acquired drug sensitivity." We found that the intrinsic resistance factor whiB7 was inactivated in an entire Mtb sublineage endemic to Southeast Asia, presenting an opportunity to potentially repurpose the macrolide antibiotic clarithromycin to treat TB. This chemical-genetic map provides a rich resource to understand drug efficacy in Mtb and guide future TB drug development and treatment.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Cyclic AMP is a critical mediator of intrinsic drug resistance and fatty acid metabolism in M. tuberculosis 96%
- Host-pathogen genetic interactions underlie tuberculosis susceptibility 95%
- The mutational signatures of poor treatment outcomes on the drug-susceptible Mycobacterium tuberculosis genome 95%
Similar papers in this journal
- Profiling cell envelope-antibiotic interactions reveals vulnerabilities to β-lactams in a multidrug-resistant bacterium 95%
- Structural basis of resistance to lincosamide, streptogramin A, and pleuromutilin antibiotics by ABCF ATPases in Gram-positive pathogens 95%
- A convolutional neural network highlights mutations relevant to antimicrobial resistance in Mycobacterium tuberculosis 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.