bioRxivBiophysicsPreprint
Particle flow modulates growth dynamics and nanoscale-arrested growth of transcription factor condensates in living cells
G. Munoz-Gil, C. Romero-Aristizabal, N. Mateos, F. Campelo, L. I. de LLobet-Cucalon, M. Beato, M. Lewenstein, M. Garcia-Parajo, J. A. Torreno-Pina
Abstract
Liquid-liquid phase separation (LLPS) is emerging as key physical principle for biological organization inside living cells, forming condensates that play important roles in the regulation of multiple functions. Inside living nuclei, transcription factor (TF) condensates regulate transcriptional initiation and amplify transcriptional output of expressed genes. Yet, the biophysical parameters controlling TF condensation are still poorly understood. Here we applied a battery of single molecule imaging tools, theory and simulations to investigate the physical properties of TF condensates of the Progesterone Receptor (PR) in vivo. Analysis of individual PR trajectories at different ligand concentrations showed marked signatures of a ligand-tunable and regulated LLPS process. Using a machine learning architecture, we uncovered that diffusion within condensates follows fractional Brownian motion, reflecting viscoelastic interactions between PR and chromatin within condensates. High density single molecule localization maps further revealed that condensate growth dynamics is dominated by Brownian motion coalescence (BMC) at shorter times, but deviate at longer timescales reaching a growth plateau with nanoscale condensate sizes. To understand our observations we developed an extension of the BMC model by including stochastic unbinding of particles within condensates. The model reproduced the BMC behavior together with finite condensate sizes a steady-state, fully recapitulating our experimental data. Our results are thus consistent with droplet growth dynamics being regulated by the escaping probability of TFs molecules from condensates. The interplay between condensation assembly and molecular escaping maintains an optimum physical condensate size. Such phenomena must have implications for the biophysical regulation of other TF condensates and could also operate in multiple biological scenarios.
- organism: human
- assay: fluorescence / live-cell microscopy
- research focus: cell signaling & trafficking
- approach: machine learning (classical)
- approach: statistical model
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Phase separation of tunable biomolecular condensates predicted by an interacting particle model
G. Munoz-Gil, C. Romero, … J. A. Torreno-Pina·bioRxiv·Sep 9, 2020
- Heterogenous organization in condensates of multiple transcription factors in embryonic stem cells
Azuki Mizutani, Cheng Tan, … Shoji Takada·Biophysical JournalPeer-reviewed·Apr 8, 2025
- Active field theory approach to explain size control of transcriptional condensates
Kathrin Hertäg, Samuel Shoup, … Thomas Speck·Macromolecular BiosciencePeer-reviewed·Oct 1, 2026
- Liquid-like transcription condensates locally constrain chromatin in living human cells
Adilgazy Semeigazin, Katsuhiko Minami, … Kazuhiro Maeshima·bioRxiv·Jul 5, 2025
- Mechanisms of active regulation of biomolecular condensates
J. Soeding, D. Zwicker, … J. Kirschbaum·bioRxiv·Jul 6, 2019
- Surface condensation of a pioneer transcription factor on DNA
J. A. Morin, S. Wittmann, … S. W. Grill·bioRxiv·Sep 24, 2020