Transcriptional Regulation as a Dose‐dependent Process: Insights From Transcription Factor Tuning
Open accessAbstract
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.
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Supraoptimal dosing of transcription factors may produce adverse outcomes.
“supraoptimal dosing may produce adverse outcomes”
From Targeting Microglial Transcriptional Reprogramming as a Therapy Strategy for Alzheimer's Disease (2026) · cites this paper as [85]
Even modest changes in transcription factor levels can modulate other transcriptional programs.
“Even modest changes in transcription factor levels can modulate other transcriptional programs”
From Targeting Microglial Transcriptional Reprogramming as a Therapy Strategy for Alzheimer's Disease (2026) · cites this paper as [85]
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Targeting Microglial Transcriptional Reprogramming as a Therapy Strategy for Alzheimer's Disease
Kim, B., Wang, S. S., Kim, J. R., & Kim, J. (2026) · BioEssays · doi:10.1002/bies.70186
- Authors
- Noviello, G.
- Affiliations
- European Molecular Biology Laboratory (IT)
- Corresponding author
- Noviello, Gemma
- ORCID
- Noviello, Gemma
- Venue
- Open Biology
- Publisher
- The Royal Society
- Published
- 2025-08
- Volume
- 15
- Issue
- 8
- Pages
- 240328-240328
- ISSN
- 2046-2441 (ISSN-L)
- PMC
- PMC12324873
- OpenAlex
- W4413039817
- Cited by
- 13
- References
- 6
- Citations by year
- 2026: 10 · 2025: 3
- FWCI
- 1.15
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Open Biology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Keywords
- transcriptional regulation, dose-dependent regulation, transcription factor dosage, dose-response curves, cell fate determination, endogenous gene expression
- MeSH terms
- Animals, Gene Expression Regulation, Humans, Transcription Factors, Transcription, Genetic
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