Evidence map›Paper›PMID 40305050›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Quantification and potential functional relevance of binding cooperativity of adjacent transcription factors on DNA.

Xinyao Wang, Chen Xie, Ke Shen, Dubai Li, Xiaoliang Sunney Xie

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Genome-wide single-cell and single-molecule footprinting of transcription factors with deaminase.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
4 · The record

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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

5 authors.

Xinyao Wang *Biomedical Pioneering Innovation Center, Peking University, Beijing 100871, People's Republic of China.
Chen Xie *Biomedical Pioneering Innovation Center, Peking University, Beijing 100871, People's Republic of China.ORCID 0000-0002-6183-7301
Ke ShenBiomedical Pioneering Innovation Center, Peking University, Beijing 100871, People's Republic of China.
Dubai LiBiomedical Pioneering Innovation Center, Peking University, Beijing 100871, People's Republic of China.
Xiaoliang Sunney XieBiomedical Pioneering Innovation Center, Peking University, Beijing 100871, People's Republic of China.ORCID 0000-0001-9281-5239

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In eukaryotes, the expression of specific genes is regulated by a combination of transcription factors (TFs) bound on regulatory regions of the genomic DNA (promoters and enhancers). Recent advances in genomic sequencing technology have enabled the measurements of TFs' footprints and binding affinities on DNA at the single-molecule level, facilitating the probing of binding cooperativity among adjacent TFs. This necessitates quantitative descriptions of TFs' binding cooperativity and understanding of its potential functional relevance. In this study, we show that the binding cooperativities between two adjacent TFs can be quantified by the [Formula: see text] coefficient, which can be experimentally determined. Under thermodynamic equilibrium, the binding affinities of two TFs can either increase together (positive cooperativity) or decrease together (negative cooperativity), but not in opposing directions (one increases while the other decreases). Within the framework of thermodynamics, we investigate the functional relevance of cooperativity. The functional relevance of positive cooperativity, which has been extensively discussed in the literature, is the sigmoidal binding curve around a TF concentration threshold (analogous to oxygen binding to hemoglobin), whereas the functional relevance of negative cooperativity is twofold. First, mutual exclusion of the two TFs enables bidirectional gene switching, akin to the CI-Cro system in phage [Formula: see text]. Second, while TFs often exhibit intranuclear concentration fluctuations, negative binding cooperativity assures fast TF dissociation from DNA and hence rapid response for gene expression regulation. Furthermore, the nonequilibrium steady states of living cells can lead to either positive or negative cooperativity, which can also be quantified by the [Formula: see text] coefficient.

Indexed as

DNATranscription FactorsBinding SitesGene Expression RegulationPromoter Regions, GeneticProtein BindingThermodynamicsDNATranscription Factorsbinding affinityfunctional relevancenegative cooperativitynonequilibrium steady statetranscription factor

Identifiers

PMID40305050
PMCPMC12067250

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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.