Evidence map›Paper›PMID 29574055›Full record

ArticleCell systems2018

Tuning Transcriptional Regulation through Signaling: A Predictive Theory of Allosteric Induction.

Manuel Razo-Mejia, Stephanie L Barnes, Nathan M Belliveau, Griffin Chure, Tal Einav, Mitchell Lewis, Rob Phillips

Abstract read
In one paragraph

Article in Cell systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing 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

63 citing papers in PubMed.

  1. Article
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  9. Review
  10. Parameter Evolvability in Gene Expression Models Drives Phenotypic Adaptation.ALIFE : proceedings of the artificial life conference. International Conference on Artificial Life · 2025
    Article
  11. Article
  12. Science (New York, N.Y.) · 2025
    Article
  13. Article
  14. The Environment-Dependent Regulatory Landscape of thebioRxiv : the preprint server for biology · 2025
    Article
  15. Article
  16. Compatibility of intracellular binding: Evolutionary design principles for metal sensors.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  17. Article
  18. Review
  19. Article
  20. Article

3 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Manuel Razo-MejiaDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Stephanie L BarnesDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Nathan M BelliveauDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Griffin ChureDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Tal EinavDepartment of Physics, California Institute of Technology, Pasadena, CA 91125, USA.
Mitchell LewisDepartment of Biochemistry and Biophysics, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA.
Rob PhillipsDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA; Department of Physics, California Institute of Technology, Pasadena, CA 91125, USA; Department of Applied Physics, California Institute of Technology, Pasadena, CA 91125, USA. Electronic address: phillips@pboc.caltech.edu.

Funding

The Principles of Regulatory, Conformational and Evolutionary AdaptationR35GM118043 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ROB PHILLIPS · 2016 to 2026
$7.9M
NIH Director's Pioneer Award (RMI)DP1OD000217 · OD · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI PHILLIPS, ROB · 2004 to 2008
$4.0M
Single-Molecule and Single-Cell Analysis of Transcription Factor-DNA ComplexesR01GM085286 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI PHILLIPS, ROB · 2009 to 2015
$2.8M
Howard Hughes Medical InstituteNIGMS NIH HHS R01 GM085286NIGMS NIH HHS R35 GM118043NIH HHS DP1 OD000217
6 · The paper itself

Abstract

Allosteric regulation is found across all domains of life, yet we still lack simple, predictive theories that directly link the experimentally tunable parameters of a system to its input-output response. To that end, we present a general theory of allosteric transcriptional regulation using the Monod-Wyman-Changeux model. We rigorously test this model using the ubiquitous simple repression motif in bacteria by first predicting the behavior of strains that span a large range of repressor copy numbers and DNA binding strengths and then constructing and measuring their response. Our model not only accurately captures the induction profiles of these strains, but also enables us to derive analytic expressions for key properties such as the dynamic range and [EC

Indexed as

Models, GeneticSignal TransductionAllosteric RegulationBinding SitesEscherichia coliGene Expression RegulationThermodynamicsallosteric regulationgene regulationMonod-Wyman-Changeuxstatistical mechanicsthermodynamic modelstranscription

Identifiers

PMID29574055
PMCPMC5991102

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.