Evidence map›Paper›PMID 39626670›Full record

ArticleCell systems2024

A three-node Turing gene circuit forms periodic spatial patterns in bacteria.

Jure Tica, Martina Oliver Huidobro, Tong Zhu, Georg K A Wachter, Roozbeh H Pazuki, Dario G Bazzoli, Natalie S Scholes, Elisa Tonello, Heike Siebert, Michael P H Stumpf and 2 more

Abstract read
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In one paragraph

Article in Cell systems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. How nature discovers rare Turing islands: Exploration by common limit cycles.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Article
  5. Revisiting Turing's Chemical Basis of Morphogenesis.Bulletin of mathematical biology · 2026
    Review
  6. Article
  7. Review
  8. Design of CRISPRi-Based Synthetic Gene Circuits in Bacteria.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Engineering bacterial theranostics: from logic gates toFrontiers in bioengineering and biotechnology · 2024
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Jure TicaDepartment of Life Sciences, Imperial College London, London SW7 2AZ, UK.
Martina Oliver HuidobroDepartment of Life Sciences, Imperial College London, London SW7 2AZ, UK.
Tong ZhuDepartment of Life Sciences, Imperial College London, London SW7 2AZ, UK.
Georg K A WachterDepartment of Life Sciences, Imperial College London, London SW7 2AZ, UK.
Roozbeh H PazukiDepartment of Life Sciences, Imperial College London, London SW7 2AZ, UK.
Dario G BazzoliDepartment of Life Sciences, Imperial College London, London SW7 2AZ, UK.
Natalie S ScholesDepartment of Life Sciences, Imperial College London, London SW7 2AZ, UK.
Elisa TonelloDepartment of Mathematics, Kiel University, 24118 Kiel, Germany.
Heike SiebertDepartment of Mathematics, Kiel University, 24118 Kiel, Germany.
Michael P H StumpfMelbourne Integrated Genomics, University of Melbourne, Melbourne, VIC 3010, Australia; School of BioScience, University of Melbourne, Melbourne, VIC 3010, Australia; School of Mathematics and Statistics, University of Melbourne, Melbourne, VIC 3010, Australia.
Robert G EndresDepartment of Life Sciences, Imperial College London, London SW7 2AZ, UK. Electronic address: r.endres@imperial.ac.uk.
Mark IsalanDepartment of Life Sciences, Imperial College London, London SW7 2AZ, UK; Imperial College Centre for Synthetic Biology, Imperial College London, London SW7 2AZ, UK. Electronic address: m.isalan@imperial.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Turing patterns are self-organizing systems that can form spots, stripes, or labyrinths. Proposed examples in tissue organization include zebrafish pigmentation, digit spacing, and many others. The theory of Turing patterns in biology has been debated because of their stringent fine-tuning requirements, where patterns only occur within a small subset of parameters. This has complicated the engineering of synthetic Turing gene circuits from first principles, although natural genetic Turing networks have been identified. Here, we engineered a synthetic genetic reaction-diffusion system where three nodes interact according to a non-classical Turing network with improved parametric robustness. The system reproducibly generated stationary, periodic, concentric stripe patterns in growing E. coli colonies. A partial differential equation model reproduced the patterns, with a Turing parameter regime obtained by fitting to experimental data. Our synthetic Turing system can contribute to nanotechnologies, such as patterned biomaterial deposition, and provide insights into developmental patterning programs. A record of this paper's transparent peer review process is included in the supplemental information.

Indexed as

Escherichia coliGene Regulatory Networkscomputational modelinggenetic circuit engineeringparameter fittingpartial differential equation modelspatial patterningstationary periodic stripe patternsthree-node Turing circuittunable genetic circuit

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.