Back

Dynamics of synthetic transcriptional condensates emerge from RNA synthesis and degradation

Liao, J.; Ahn, S. Y.; Obermeyer, A. C.

2026-05-05 biophysics
10.64898/2026.05.03.722550 bioRxiv
Show abstract

At sites of active gene expression, dynamic compartments known as transcriptional condensates assemble and dissolve on timescales relevant to RNA synthesis and degradation. Yet how the non-equilibrium dynamics of these condensates emerge from the coupling of RNA concentration and phase separation remains poorly understood. Here we engineer synthetic active condensates in which T7 RNA polymerase transcribes RNA in situ, triggering phase separation with a cationic scaffold protein. By using RNA concentration as a tunable parameter, we drive condensates along defined paths through a characterized phase diagram. This reaction-phase separation coupling gives rise to three emergent dynamic phenomena not accessible in passive systems: a rapid switch-like nucleation burst, RNA-mediated positive and negative feedback regulation of transcription, and oscillatory condensate formation in which RNA degradation spontaneously renucleates condensates. Together, these results show that the dynamic functions of transcriptional condensates emerge from their reaction-driven paths through phase space, providing a quantitative framework for understanding how RNA flux governs condensate dynamics in living cells.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Nature Communications
4913 papers in training set
Top 5%
19.4%
2
Nature Physics
39 papers in training set
Top 0.1%
14.7%
3
Science
429 papers in training set
Top 2%
10.1%
4
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 7%
8.4%
50% of probability mass above
5
Nature
575 papers in training set
Top 4%
6.8%
6
Nature Structural & Molecular Biology
218 papers in training set
Top 2%
3.2%
7
Nature Materials
21 papers in training set
Top 0.3%
2.9%
8
Developmental Cell
168 papers in training set
Top 6%
2.6%
9
Cell Systems
167 papers in training set
Top 5%
2.4%
10
Molecular Cell
308 papers in training set
Top 6%
2.1%
11
Neuron
282 papers in training set
Top 5%
2.1%
12
Cell
370 papers in training set
Top 9%
2.1%
13
Nature Cell Biology
99 papers in training set
Top 2%
1.9%
14
Science Advances
1098 papers in training set
Top 15%
1.9%
15
eLife
5422 papers in training set
Top 40%
1.8%
16
Nucleic Acids Research
1128 papers in training set
Top 11%
1.7%
17
Nature Chemical Biology
104 papers in training set
Top 2%
1.7%
18
Nature Biotechnology
147 papers in training set
Top 5%
1.5%
19
Nature Microbiology
133 papers in training set
Top 4%
0.8%
20
Journal of the American Chemical Society
199 papers in training set
Top 5%
0.8%
21
Cell Reports
1338 papers in training set
Top 32%
0.8%
22
Advanced Science
249 papers in training set
Top 19%
0.7%
23
Nature Nanotechnology
30 papers in training set
Top 1%
0.6%
24
Nature Chemistry
34 papers in training set
Top 1%
0.6%