ArticlePhysical biology2010
The interplay of multiple feedback loops with post-translational kinetics results in bistability of mycobacterial stress response.
Article in Physical biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed, 75 citations in OpenAlex.
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- Sequestration of histidine kinases by non-cognate response regulators establishes a threshold level of stimulation for bacterial two-component signaling.Nature communications · 2023Article
- Mycobacterial Regulatory Systems Involved in the Regulation of Gene Expression Under Respiration-Inhibitory Conditions.Journal of microbiology (Seoul, Korea) · 2023Review
- SigE: A master regulator ofFrontiers in microbiology · 2023Review
- An Evolutionary Paradigm Favoring Cross Talk between Bacterial Two-Component Signaling Systems.mSystems · 2022Article
- Exploring the mono-/bistability range of positively autoregulated signaling systems in the presence of competing transcription factor binding sites.PLoS computational biology · 2022Article
- Drug resistant tuberculosis: Implications for transmission, diagnosis, and disease management.Frontiers in cellular and infection microbiology · 2022Review
- Transcriptional regulation and drug resistance inFrontiers in cellular and infection microbiology · 2022Review
- Mathematical modelling of SigE regulatory network reveals new insights into bistability of mycobacterial stress response.BMC bioinformatics · 2021Article
- A balancing act in transcription regulation by response regulators: titration of transcription factor activity by decoy DNA binding sites.Nucleic acids research · 2021Article
- Chaperone-Mediated Stress Sensing in Mycobacterium tuberculosis Enables Fast Activation and Sustained Response.mSystems · 2021Article
- Kinetic Modeling and Meta-Analysis of theMicroorganisms · 2021Article
- Maximization of information transmission influences selection of native phosphorelay architectures.PeerJ · 2021Article
- Phenotypic Heterogeneity in Tumor Progression, and Its Possible Role in the Onset of Cancer.Frontiers in genetics · 2020Review
- Tolerance and Persistence to Drugs: A Main Challenge in the Fight AgainstFrontiers in microbiology · 2020Review
- Towards multiscale modeling of the CD8Wiley interdisciplinary reviews. Systems biology and medicine · 2019Review
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
Bacterial persistence is the phenomenon in which a genetically identical fraction of a bacterial population can survive exposure to stress by reduction or cessation of growth. Persistence in mycobacteria has been recently linked to a stress-response network, consisting of the MprA/MprB two-component system and alternative sigma factor sigma(E). This network contains multiple positive transcriptional feedback loops which may give rise to bistability, making it a good candidate for controlling the mycobacterial persistence switch. To analyze the possibility of bistability, we develop a method that involves decoupling of the network into transcriptional and post-translational interaction modules. As a result we reduce the dimensionality of the dynamical system and independently analyze input-output relations in the two modules to formulate a necessary condition for bistability in terms of their logarithmic gains. We show that neither the positive autoregulation in the MprA/MprB network nor the sigma(E)-mediated transcriptional feedback is sufficient to induce bistability in a biochemically realistic parameter range. Nonetheless, inclusion of the post-translational regulation of sigma(E) by RseA increases the effective cooperativity of the system, resulting in bistability that is robust to parameter variation. We predict that overexpression or deletion of RseA, the key element controlling the ultrasensitive response, can eliminate bistability.
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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.