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Anti-correlation of LacI association and dissociation rates observed in living cells
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Systems Biology. Uppsala University, Science for Life Laboratory, SciLifeLab.ORCID iD: 0000-0001-8788-9399
Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Systems Biology.ORCID iD: 0000-0002-7802-8869
Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Systems Biology.ORCID iD: 0000-0001-5522-1810
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Systems Biology. Uppsala University, Science for Life Laboratory, SciLifeLab.
2025 (English)In: Nature Communications, E-ISSN 2041-1723, Vol. 16, no 1, article id 764Article in journal (Refereed) Published
Abstract [en]

The rate at which transcription factors (TFs) bind their cognate sites has long been assumed to be limited by diffusion, and thus independent of binding site sequence. Here, we systematically test this assumption using cell-to-cell variability in gene expression as a window into the in vivo association and dissociation kinetics of the model transcription factor LacI. Using a stochastic model of the relationship between gene expression variability and binding kinetics, we performed single-cell gene expression measurements to infer association and dissociation rates for a set of 35 different LacI binding sites. We found that both association and dissociation rates differed significantly between binding sites, and moreover observed a clear anticorrelation between these rates across varying binding site strengths. These results contradict the long-standing hypothesis that TF binding site strength is primarily dictated by the dissociation rate, but may confer the evolutionary advantage that TFs do not get stuck in near-operator sequences while searching.

Place, publisher, year, edition, pages
Springer Nature, 2025. Vol. 16, no 1, article id 764
National Category
Bioinformatics and Computational Biology Physical Chemistry
Identifiers
URN: urn:nbn:se:uu:diva-549509DOI: 10.1038/s41467-025-56053-zISI: 001399010500004PubMedID: 39824877Scopus ID: 2-s2.0-85216236465OAI: oai:DiVA.org:uu-549509DiVA, id: diva2:1935595
Funder
Swedish Research Council, 2020-05137Swedish Research Council, 2016-06213Swedish Research Council, 2018-03958Swedish Research Council, 2018-05973EU, European Research Council, 885360Knut and Alice Wallenberg Foundation, 2016.0077Knut and Alice Wallenberg Foundation, 2017.0291Knut and Alice Wallenberg Foundation, 2019.0439eSSENCE - An eScience CollaborationAvailable from: 2025-02-07 Created: 2025-02-07 Last updated: 2025-02-07Bibliographically approved

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