ArticlePhysical review. E, Statistical, nonlinear, and soft matter physics2014
Coherent feedforward transcriptional regulatory motifs enhance drug resistance.
Article in Physical review. E, Statistical, nonlinear, and soft matter physics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Therapy as a State-Generator: Dynamic Phenotypic Landscapes and Adaptive Stress Circuits in Chemotherapy Resistance of Breast Cancer.Antioxidants (Basel, Switzerland) · 2026Review
- Synthetic gene circuit evolution: Insights and opportunities at the mid-scale.Cell chemical biology · 2024Review
- Dynamical model of antibiotic responses linking expression of resistance genes to metabolism explains emergence of heterogeneity during drug exposures.Physical biology · 2024Article
- Evolutionary innovation through transcription factor rewiring in microbes is shaped by levels of transcription factor activity, expression, and existing connectivity.PLoS biology · 2023Article
- Quantitative systems-based prediction of antimicrobial resistance evolution.NPJ systems biology and applications · 2023Review
- MaxCal can infer models from coupled stochastic trajectories of gene expression and cell division.Biophysical journal · 2023Article
- Systematic integration of protein-affecting mutations, gene fusions, and copy number alterations into a comprehensive somatic mutational profile.Cell reports methods · 2023Article
- Being noisy in a crowd: Differential selective pressure on gene expression noise in model gene regulatory networks.PLoS computational biology · 2023Article
- Mathematical Modelling Highlights the Potential for Genetic Manipulation as an Adjuvant to Counter Efflux-Mediated MDR in Salmonella.Bulletin of mathematical biology · 2022Article
- UPMaBoSS: A Novel Framework for Dynamic Cell Population Modeling.Frontiers in molecular biosciences · 2022Review
- Time dependent asymptotic analysis of the gene regulatory network of the AcrAB-TolC efflux pump system in gram-negative bacteria.Journal of mathematical biology · 2021Article
- Advancing Antimicrobial Resistance Research Through Quantitative Modeling and Synthetic Biology.Frontiers in bioengineering and biotechnology · 2020Article
- Model genotype-phenotype mappings and the algorithmic structure of evolution.Journal of the Royal Society, Interface · 2019Article
- Experimental evolution reveals a general role for the methyltransferase Hmt1 in noise buffering.PLoS biology · 2019Article
- Identification of co-evolving temporal networks.BMC genomics · 2019Article
- Mathematical modeling and computational prediction of cancer drug resistance.Briefings in bioinformatics · 2018Review
- Multiscale effects of heating and cooling on genes and gene networks.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Negative Regulation Gene Circuits for Efflux Pump Control.Methods in molecular biology (Clifton, N.J.) · 2018Article
- Stochasticity in the Genotype-Phenotype Map: Implications for the Robustness and Persistence of Bet-Hedging.Genetics · 2016Article
- Identification of large disjoint motifs in biological networks.BMC bioinformatics · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Fluctuations in gene expression give identical cells access to a spectrum of phenotypes that can serve as a transient, nongenetic basis for natural selection by temporarily increasing drug resistance. In this study, we demonstrate using mathematical modeling and simulation that certain gene regulatory network motifs, specifically coherent feedforward loop motifs, can facilitate the development of nongenetic resistance by increasing cell-to-cell variability and the time scale at which beneficial phenotypic states can be maintained. Our results highlight how regulatory network motifs enabling transient, nongenetic inheritance play an important role in defining reproductive fitness in adverse environments and provide a selective advantage subject to evolutionary pressure.
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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.