ArticleNature communications2020
Interpretation of morphogen gradients by a synthetic bistable circuit.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 27 citations in OpenAlex.
- Unravelling the progression of the zebrafish primary body axis with reconstructed spatiotemporal transcriptomics.Genome biology · 2026Article
- Mutual inhibition between EPFL2 and auxin extends the intervals of periodic leaf morphogenesis.Nature communications · 2025Article
- Two orthogonal differentiation gradients locally coordinate fruit morphogenesis.Nature communications · 2024Article
- Article
- Synthetic spatial patterning in bacteria: advances based on novel diffusible signals.Microbial biotechnology · 2022Review
- Synthetic cell-based materials extract positional information from morphogen gradients.Science advances · 2022Article
- Article
- Implications of diffusion and time-varying morphogen gradients for the dynamic positioning and precision of bistable gene expression boundaries.PLoS computational biology · 2021Article
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Authors and funding
10 authors at 4 institutions in 3 countries.
Funding
Abstract
During development, cells gain positional information through the interpretation of dynamic morphogen gradients. A proposed mechanism for interpreting opposing morphogen gradients is mutual inhibition of downstream transcription factors, but isolating the role of this specific motif within a natural network remains a challenge. Here, we engineer a synthetic morphogen-induced mutual inhibition circuit in E. coli populations and show that mutual inhibition alone is sufficient to produce stable domains of gene expression in response to dynamic morphogen gradients, provided the spatial average of the morphogens falls within the region of bistability at the single cell level. When we add sender devices, the resulting patterning circuit produces theoretically predicted self-organised gene expression domains in response to a single gradient. We develop computational models of our synthetic circuits parameterised to timecourse fluorescence data, providing both a theoretical and experimental framework for engineering morphogen-induced spatial patterning in cell populations.
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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.