ArticleScience (New York, N.Y.)2019
Stochastic antagonism between two proteins governs a bacterial cell fate switch.
Article in Science (New York, N.Y.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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.
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.
Who cites it
33 citing papers in PubMed.
- Microfluidics-mediated spatial control of mRNA lipid nanoparticles primes translation and enhances vaccine potency.Nature biomedical engineering · 2026Article
- MeeY and YybP, two proteins regulated by manganese-sensing riboswitches, are required for Bacillus subtilis biofilm formation.NPJ biofilms and microbiomes · 2026Article
- DIO3 coordinates photoreceptor development timing and fate stability in human retinal organoids.Genes & development · 2026Article
- Review
- Article
- Essentialome-Wide Multigenerational Imaging Reveals Mechanistic Origins of Cell Growth Laws.bioRxiv : the preprint server for biology · 2025Article
- Nonlinear memory in cell-division dynamics across species.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Self-organization of active plume lattice in bacterial bioconvection.Quantitative biology (Beijing, China) · 2025Article
- Quantifying cell fate change under different stochastic gene activation frameworks.Quantitative biology (Beijing, China) · 2025Article
- Modeling Arabidopsis root growth and development.Plant physiology · 2025Review
- Active interface bulging inProceedings of the National Academy of Sciences of the United States of America · 2024Article
- Review
- Regulation of biofilm gene expression by DNA replication in Bacillus subtilis.Journal of cellular and molecular medicine · 2024Article
- A logic-incorporated gene regulatory network deciphers principles in cell fate decisions.eLife · 2024Article
- The motility-matrix production switch inJournal of bacteriology · 2024Article
- A toxin-mediated policing system ineLife · 2023Article
- Synthetic Micrographs of Bacteria (SyMBac) allows accurate segmentation of bacterial cells using deep neural networks.BMC biology · 2022Article
- Intercellular interaction mechanisms promote diversity in intracellular ATP concentration in Escherichia coli populations.Scientific reports · 2022Article
- Biophysical aspects underlying the swarm to biofilm transition.Science advances · 2022Article
- Single-Cell Motility Rapidly Quantifying Heteroresistance in Populations ofSmall science · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Cell fate decision circuits must be variable enough for genetically identical cells to adopt a multitude of fates, yet ensure that these states are distinct, stably maintained, and coordinated with neighboring cells. A long-standing view is that this is achieved by regulatory networks involving self-stabilizing feedback loops that convert small differences into long-lived cell types. We combined regulatory mutants and in vivo reconstitution with theory for stochastic processes to show that the marquee features of a cell fate switch in
Indexed as
Identifiers
What OpenQuestion holds
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.