ArticleBiophysical journal2020
Regulation of Gene Activation by Competitive Cross Talking Pathways.
Article in Biophysical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 31 citations in OpenAlex.
- Integrating zero-inflation correction and transcriptional kinetics for single-cell transcriptomic analysis.PLoS computational biology · 2026Article
- Using the simple telegraph model to decipher transcriptional burst regulation across genome-wide data.iScience · 2026Article
- Quantifying cell fate change under different stochastic gene activation frameworks.Quantitative biology (Beijing, China) · 2025Article
- What can we learn when fitting a simple telegraph model to a complex gene expression model?PLoS computational biology · 2024Article
- Gene-Function-Based Clusters Explore Intricate Networks of Gene Expression of Circulating Tumor Cells in Patients with Colorectal Cancer.Biomedicines · 2023Article
- Using average transcription level to understand the regulation of stochastic gene activation.Royal Society open 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
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The phenomenon of a gene expression burst has been attributed to random transitions between the active and inactive states of a gene. However, the mechanisms underlying regulation of the activation process in response to environmental changes remain unclear. Here, we model gene activation as a consequence of the competitive cross talk between a weak basal pathway and an inducible signaling pathway and reveal rich expression dynamics along with intricate dependence of noise and Fano factor on mean expression levels. These theoretical results are in good agreement with a large experimental data set in Escherichia coli, yeast, and mammalian cells. Furthermore, both theoretical analyses and supporting biological evidence converge to demonstrate the existence of a tradeoff that governs the sharp up- and downregulation of gene expression, suggesting an ordered scenario that activates a gene under varying conditions. These regulation modes, together with cross talk pathways, may provide new guidance for the analysis and interpretation of genetic data in various applications, ranging from genetic engineering to therapeutic targets of disease.
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.