Evidence map›Paper›PMID 40370693›Full record

ArticleBrazilian journal of physics2025

Two-State Stochastic Model of In Vivo Observations of Transcriptional Bursts.

Luiz Guilherme S da Silva, Romain Yvinec, Guilherme Prata, Varshant Dhar, John Reinitz, Alexandre F Ramos

Abstract read
In one paragraph

Article in Brazilian journal of physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Luiz Guilherme S da SilvaEscola de Artes, Ciências e Humanidades, Universidade de São Paulo, Av. Arlindo Béttio, 1000, São Paulo, 03828-000 SP Brazil.
Romain YvinecPRC, INRAE, CNRS, Université de Tours, Nouzilly, 37380 France.
Guilherme PrataEscola de Artes, Ciências e Humanidades, Universidade de São Paulo, Av. Arlindo Béttio, 1000, São Paulo, 03828-000 SP Brazil.
Varshant DharDepartment of Statistics, Ecology and Evolution, Molecular Genetics and Cell Biology, University of Chicago, 5734 S. University Avenue, Chicago, 60637 IL USA.
John ReinitzDepartment of Statistics, Ecology and Evolution, Molecular Genetics and Cell Biology, University of Chicago, 5734 S. University Avenue, Chicago, 60637 IL USA.
Alexandre F RamosEscola de Artes, Ciências e Humanidades, Universidade de São Paulo, Av. Arlindo Béttio, 1000, São Paulo, 03828-000 SP Brazil.

Funding

Physiological Model of Gene Regulation in DrosophilaR01OD010936 · OD · UNIVERSITY OF CHICAGO · PI ALLESINA, STEFANO, LUDWIG, MICHAEL · 2012 to 2023
$6.3M
NIH HHS R01 OD010936
6 · The paper itself

Abstract

In vivo measurements of gene expression in single cells show behavior that has been interpreted as stochastic bursts of transcription. In one case, these data have been interpreted as random ON-OFF transitions of the gene, but there is no experimental measurements or theoretical treatment of the number of transcripts produced at each burst event. In another case, such data have been interpreted to indicate multiple underlying transcriptional states. Here, we place both of these experiments in a common theoretical framework. In it, we couple two stochastic processes, one for synthesis of transcripts and one for their removal. Analysis of the resulting model is greatly aided by the existence of exact solutions of the master equation. We find the bursting limit of the exact solutions for our two-state gene expression model and show the occurrence of bursts of multiple sizes and durations by exact stochastic simulations. We also demonstrate that data from

Indexed as

Gene regulationStochastic modelingTranscriptional bursting

Identifiers

PMID40370693
PMCPMC12077311

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.