Evidence map›Paper›PMID 40763802›Full record

ReviewOpen biology2025

Transcriptional regulation as a dose-dependent process: insights from transcription factor tuning.

Gemma Noviello

Abstract readReview
In one paragraph

Review in Open biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Targeting Microglial Transcriptional Reprogramming as a Therapy Strategy for Alzheimer's Disease.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Review
  2. Current Challenges of Transcription Compartmentalization Research.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. The Binding Landscape of an Essential Nuclear Hormone Receptor inbioRxiv : the preprint server for biology · 2025
    Article
  9. 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

1 author.

Gemma NovielloEpigenetics and Neurobiology Unit, European Molecular Biology Laboratory Rome, Monterotondo, Roma 00015, Italy.ORCID 0000-0001-5212-0803

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several biological processes, including transcriptional regulation by transcription factors (TFs), are dose-dependent. At the mathematical level, dose-dependent processes can be modelled by fitting dose-response curves, for istance, employing Hill-type equations. At the experimental level, however, quantitatively regulating, or tuning, endogenous gene expression to characterize dose-dependent processes is challenging. Here, existing methods to fine-tune endogenous gene expression are compared and contrasted. Relatively small TF dosage variations have been shown to underpin cell fate decisions. Nonetheless, the current understanding of the molecular mechanisms by which TFs quantitatively regulate gene expression is limited, due to the paucity of genome-wide studies in endogenous and physiological conditions. Recent works combining quantitative perturbations of TFs and genome-wide response analyses are untangling an underexplored layer of transcriptional control. At the same time, new questions are emerging in the field, which will require further technological advancements in order to be addressed.

Indexed as

Gene Expression RegulationTranscription FactorsTranscription, GeneticAnimalsHumansTranscription Factorsbinding sites affinityCRISPRdegrondose-dependent processtranscription factortuning

Identifiers

PMID40763802
PMCPMC12324873

What OpenQuestion holds

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LicenceCC BY
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.