ArticlePhysical biology2024
Dynamical model of antibiotic responses linking expression of resistance genes to metabolism explains emergence of heterogeneity during drug exposures.
Article in Physical biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 13 citations in OpenAlex.
- Mapping the landscape of mathematical models for antimicrobial resistance: a scoping review.BMC public health · 2026Article
- Single-cell heterogeneity underpins antagonistic antibiotic interactions.Molecular systems biology · 2026Article
- Comparison of Phenotypic and Whole-Genome Sequencing-Derived Antimicrobial Resistance Profiles ofAntibiotics (Basel, Switzerland) · 2025Article
- The impact of bacterial purine metabolism on antibiotic efficacy.npj antimicrobials and resistance · 2025Review
- Antechodynamics and Antechokinetics: Dynamics and Kinetics of Antibiotic Resistance Biomolecules.Biomolecules · 2025Review
- Drug delivery dynamics dictate evolution of bacterial antibiotic responses.The ISME journal · 2025Article
- Transcriptional Analysis and Identification of a Peptidoglycan Hydrolase (PGH) and a Ribosomal Protein with Antimicrobial Activity Produced byInternational journal of molecular sciences · 2024Article
- Single-cell heterogeneity in ribosome content and the consequences for the growth laws.bioRxiv : the preprint server for biology · 2024Article
- Dynamics of drug delivery determines course of evolution of antibiotic responses in bacteria.bioRxiv : the preprint server for biology · 2024Article
- Common regulatory mutation increases single-cell survival to antibiotic exposures inbioRxiv : the preprint server for biology · 2024Article
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
Antibiotic responses in bacteria are highly dynamic and heterogeneous, with sudden exposure of bacterial colonies to high drug doses resulting in the coexistence of recovered and arrested cells. The dynamics of the response is determined by regulatory circuits controlling the expression of resistance genes, which are in turn modulated by the drug's action on cell growth and metabolism. Despite advances in understanding gene regulation at the molecular level, we still lack a framework to describe how feedback mechanisms resulting from the interdependence between expression of resistance and cell metabolism can amplify naturally occurring noise and create heterogeneity at the population level. To understand how this interplay affects cell survival upon exposure, we constructed a mathematical model of the dynamics of antibiotic responses that links metabolism and regulation of gene expression, based on the tetracycline resistance
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.