ArticleNucleic acids research2021
Power-law behavior of transcription factor dynamics at the single-molecule level implies a continuum affinity model.
Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.
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Who cites it
73 citing papers in PubMed.
- Mapping Protein Diffusion from the Plasma Membrane to the Nucleus: Insights from Fluorescence Correlation Spectroscopy.Biomolecules · 2026Review
- Current Challenges of Transcription Compartmentalization Research.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- REAL-TIME VISUALIZATION OF SPLICEOSOME ASSEMBLY REVEALS BASIC PRINCIPLES OF 3' SPLICE SITE SELECTION.Research square · 2026Article
- Rage against the mean: a perspective on measuring fitness of individual phage particles.Npj viruses · 2026Review
- Live-cell single-molecule dynamics of eukaryotic RNA polymerase machineries.Science (New York, N.Y.) · 2026Article
- Mechanisms of enhanced or impaired DNA target selectivity driven by protein dimerization.PNAS nexus · 2026Article
- QuantiTrack: A unified software to study protein dynamics in living cells.bioRxiv : the preprint server for biology · 2026Article
- FOXA1 mutations co-opt nascent transcription factor networks in partnership with androgen receptor to enhance prostate tumorigenicity.Cell reports · 2026Article
- Electrostatic properties of disordered regions control transcription factor search and pioneer activity.Nature communications · 2026Article
- Article
- Intrinsically disordered regions facilitate target search to drive promoter selectivity by a yeast transcription factor.Nature communications · 2025Article
- The multimerization pathway of the glucocorticoid receptor.Nucleic acids research · 2025Article
- Timing is everything: transcription bursting in development.Genes & development · 2025Review
- Mechanisms driving functional divergence of transcription factor paralogs.The New phytologist · 2025Review
- Hippo signaling regulates the nuclear behavior and DNA binding times of YAP and TEAD to control transcription.Science advances · 2025Article
- Binding memory of liquid molecules.Nature communications · 2025Article
- Post-translational modification of transcription factors: perspectives in vascular medicine.Cell death & disease · 2025Review
- Mechanisms of enhanced or impaired DNA target selectivity driven by protein dimerization.bioRxiv : the preprint server for biology · 2025Article
- Intrinsically disordered regions as facilitators of the transcription factor target search.Nature reviews. Genetics · 2025Review
- Bile acids target an exposed cavity in the glucocorticoid receptor modulating receptor self-assembly, chromatin binding and transcriptional activity.bioRxiv : the preprint server for biology · 2025Article
13 more citing papers are in PubMed but not listed here.
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7 authors.
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Abstract
Single-molecule tracking (SMT) allows the study of transcription factor (TF) dynamics in the nucleus, giving important information regarding the diffusion and binding behavior of these proteins in the nuclear environment. Dwell time distributions obtained by SMT for most TFs appear to follow bi-exponential behavior. This has been ascribed to two discrete populations of TFs-one non-specifically bound to chromatin and another specifically bound to target sites, as implied by decades of biochemical studies. However, emerging studies suggest alternate models for dwell-time distributions, indicating the existence of more than two populations of TFs (multi-exponential distribution), or even the absence of discrete states altogether (power-law distribution). Here, we present an analytical pipeline to evaluate which model best explains SMT data. We find that a broad spectrum of TFs (including glucocorticoid receptor, oestrogen receptor, FOXA1, CTCF) follow a power-law distribution of dwell-times, blurring the temporal line between non-specific and specific binding, suggesting that productive binding may involve longer binding events than previously believed. From these observations, we propose a continuum of affinities model to explain TF dynamics, that is consistent with complex interactions of TFs with multiple nuclear domains as well as binding and searching on the chromatin template.
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