ArticlePLoS computational biology2012
Mutual repression enhances the steepness and precision of gene expression boundaries.
Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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31 citing papers in PubMed, 60 citations in OpenAlex.
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- AI-powered simulation-based inference of a genuinely spatial-stochastic gene regulation model of early mouse embryogenesis.PLoS computational biology · 2024Article
- Coordination of shoot apical meristem shape and identity by APETALA2 during floral transition in Arabidopsis.Nature communications · 2024Article
- Mutual repression between JNK/AP-1 and JAK/STAT stratifies senescent and proliferative cell behaviors during tissue regeneration.PLoS biology · 2023Article
- Deduction of signaling mechanisms from cellular responses to multiple cues.NPJ systems biology and applications · 2022Article
- Understanding the development of oral epithelial organs through single cell transcriptomic analysis.Development (Cambridge, England) · 2022Article
- Multiple morphogens and rapid elongation promote segmental patterning during development.PLoS computational biology · 2021Article
- Implications of diffusion and time-varying morphogen gradients for the dynamic positioning and precision of bistable gene expression boundaries.PLoS computational biology · 2021Article
- Bootstrapping and Pinning down the Root Meristem; the Auxin-PLT-ARR Network Unites Robustness and Sensitivity in Meristem Growth Control.International journal of molecular sciences · 2021Article
- Precision of tissue patterning is controlled by dynamical properties of gene regulatory networks.Development (Cambridge, England) · 2021Article
- The many bits of positional information.Development (Cambridge, England) · 2021Review
- Synthetic and systems biology principles in the design of programmable oncolytic virus immunotherapies for glioblastoma.Neurosurgical focus · 2021Review
- Interpretation of morphogen gradients by a synthetic bistable circuit.Nature communications · 2020Article
- A mechanism foreLife · 2020Article
- Controlling spatiotemporal pattern formation in a concentration gradient with a synthetic toggle switch.Molecular systems biology · 2020Article
- Neural control of body-plan axis in regenerating planaria.PLoS computational biology · 2019Article
- Precision in a rush: Trade-offs between reproducibility and steepness of the hunchback expression pattern.PLoS computational biology · 2018Article
- Article
- Combining a Toggle Switch and a Repressilator within the AC-DC Circuit Generates Distinct Dynamical Behaviors.Cell systems · 2018Article
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Embryonic development is driven by spatial patterns of gene expression that determine the fate of each cell in the embryo. While gene expression is often highly erratic, embryonic development is usually exceedingly precise. In particular, gene expression boundaries are robust not only against intra-embryonic fluctuations such as noise in gene expression and protein diffusion, but also against embryo-to-embryo variations in the morphogen gradients, which provide positional information to the differentiating cells. How development is robust against intra- and inter-embryonic variations is not understood. A common motif in the gene regulation networks that control embryonic development is mutual repression between pairs of genes. To assess the role of mutual repression in the robust formation of gene expression patterns, we have performed large-scale stochastic simulations of a minimal model of two mutually repressing gap genes in Drosophila, hunchback (hb) and knirps (kni). Our model includes not only mutual repression between hb and kni, but also the stochastic and cooperative activation of hb by the anterior morphogen Bicoid (Bcd) and of kni by the posterior morphogen Caudal (Cad), as well as the diffusion of Hb and Kni between neighboring nuclei. Our analysis reveals that mutual repression can markedly increase the steepness and precision of the gap gene expression boundaries. In contrast to other mechanisms such as spatial averaging and cooperative gene activation, mutual repression thus allows for gene-expression boundaries that are both steep and precise. Moreover, mutual repression dramatically enhances their robustness against embryo-to-embryo variations in the morphogen levels. Finally, our simulations reveal that diffusion of the gap proteins plays a critical role not only in reducing the width of the gap gene expression boundaries via the mechanism of spatial averaging, but also in repairing patterning errors that could arise because of the bistability induced by mutual repression.
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