ArticlePhysical review letters2016
Cooperativity of Negative Autoregulation Confers Increased Mutational Robustness.
Article in Physical review letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 11 citations in OpenAlex.
- GoldenBraid2.0Synthetic biology (Oxford, England) · 2025Article
- High-throughput assays to assess variant effects on disease.Disease models & mechanisms · 2024Article
- Mutation of self-binding sites in the promoter of the MrpC transcriptional regulator leads to asynchronousFrontiers in microbiology · 2023Article
- The Parameter-Fitness Landscape ofmSphere · 2020Article
- The MtDMI2-MtPUB2 Negative Feedback Loop Plays a Role in Nodulation Homeostasis.Plant physiology · 2018Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Negative autoregulation is universally found across organisms. In the bacterium Escherichia coli, transcription factors often repress their own expression to form a negative feedback network motif that enables robustness to changes in biochemical parameters. Here we present a simple phenomenological model of a negative feedback transcription factor repressing both itself and another target gene. The strength of the negative feedback is characterized by three parameters: the cooperativity in self-repression, the maximal expression rate of the transcription factor, and the apparent dissociation constant of the transcription factor binding to its own promoter. Analysis of the model shows that the target gene levels are robust to mutations in the transcription factor, and that the robustness improves as the degree of cooperativity in self-repression increases. The prediction is tested in the LexA transcriptional network of E. coli by altering cooperativity in self-repression and promoter strength. Indeed, we find robustness is correlated with the former. Considering the proposed importance of gene regulation in speciation, parameters governing a transcription factor's robustness to mutation may have significant influence on a cell or organism's capacity to evolve.
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