ArticleScience (New York, N.Y.)2025
Article in Science (New York, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Quantitative Measurement of Synthetic Repression Curves Reveals Design Challenges for Genetic Circuit Engineering under Growth Arrest.ACS synthetic biology · 2026Article
- Transcriptional landscape of metal-resistantJournal of bacteriology · 2026Article
- Core elements play distinct roles in promoter birth and transcriptional regulation.Nature communications · 2026Article
- De novo promoters emerge more readily from random DNA than from genomic DNA.Science advances · 2026Article
- Genome-Wide Identification of theInternational journal of molecular sciences · 2026Article
- LysR-type regulator LrhA promotes CRISPR-Cas immunity in Escherichia coli.Nucleic acids research · 2026Article
- Model-guided design of regulatable promoters for synthetic biology.Current opinion in microbiology · 2026Review
- Universal scaling law: transcription factors homeostatically control promoter activity.Signal transduction and targeted therapy · 2026Article
- A unified computational framework for quantitative design and optimization of transcriptional regulation across bacterial species.Nucleic acids research · 2026Article
- The transcriptional and cellular landscape of cognitive resilience to Alzheimer's disease.Frontiers in molecular neuroscience · 2025Review
Corrections and comments
- Update of
Authors and funding
8 authors.
Funding
Abstract
Transcription factors (TFs) may activate or repress gene expression through an interplay of different mechanisms, including RNA polymerase (RNAP) recruitment, exclusion, and initiation. However, depending on the regulated promoter identity, TF function can vary, and the principles underlying this context dependence remain unclear. We demonstrate an inverse scaling relationship between the promoter's basal activity and its regulation by a given TF. Specifically, activation is weaker and repression is stronger on stronger promoters. This scaling applies to both activators and repressors, which suggests a common underlying mechanism where TFs regulate expression by stabilizing RNAP binding at the promoter. The consequence of this relationship is that TFs buffer expression by affecting constant regulated expression levels across promoters of different basal activity, ensuring homeostatic control despite genetic or environmental changes.
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.