Evidence map›Paper›PMID 42744773›Full record

ArticleNature communications2026

Mixed positive and negative feedback loops drive diverse single-cell gene expression dynamics.

Torkel E Loman, Christian P Schwall, Teresa Saez, Yujia Liu, James C W Locke

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Torkel E Loman *Sainsbury Laboratory, University of Cambridge, Cambridge, UK.
Christian P Schwall *Sainsbury Laboratory, University of Cambridge, Cambridge, UK.
Teresa SaezSainsbury Laboratory, University of Cambridge, Cambridge, UK.
Yujia LiuSainsbury Laboratory, University of Cambridge, Cambridge, UK.
James C W LockeSainsbury Laboratory, University of Cambridge, Cambridge, UK. james.locke@slcu.cam.ac.uk.ORCID 0000-0003-0670-1943

Funding

RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/V006088/1
6 · The paper itself

Abstract

Genetic circuits with only a few components can generate complex gene regulatory dynamics. Here, we combine stochastic modelling and single-cell time-lapse microscopy to map how a common circuit motif, the mixed positive/negative feedback loop, gives rise to diverse single-cell behaviours. Our minimal stochastic model of this motif reveals ten distinct classes of dynamic output, including stochastic pulsing, oscillations, and bistability. We systematically map how the circuit's core parameters can be tuned to generate each of the behaviours. Experimental validation in two different mixed feedback circuits in the bacterium Bacillus subtilis, σ

Indexed as

Bacillus subtilisFeedback, PhysiologicalGene Expression Regulation, BacterialGene Regulatory NetworksBacterial ProteinsSigma FactorSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisStochastic ProcessesTime-Lapse ImagingBacterial ProteinsSigma Factor

Identifiers

PMID42744773
PMCPMC13578229

What OpenQuestion 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 OpenQuestion graph.