Gene activity fully predicts transcriptional bursting dynamics
Po-Ta Chen1, Michal Levo1,2, Benjamin Zoller1,3
1Joseph Henry Laboratories of Physics & Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.
Arxiv
|May 3, 2023
Summary
Gene transcription occurs in bursts. This study reveals that the duration of active (ON) and inactive (OFF) transcription periods are linked, with gene activity levels predicting these dynamics.
Area of Science:
- Molecular Biology
- Genetics
- Developmental Biology
Background:
- Gene transcription is often regulated by bursting dynamics, alternating between active (ON) and quiescent (OFF) states.
- The precise mechanisms governing transcriptional bursting and its regulation remain incompletely understood.
Purpose of the Study:
- To investigate the relationships between transcriptional bursting parameters in real-time.
- To understand how gene activity levels influence the dynamics of transcription bursts.
Main Methods:
- Real-time single-mRNA sensitive measurements of endogenous transcriptional bursting.
- Utilizing the diverse transcriptional landscape of early fly embryos.
Main Results:
- Discovered stringent, linked relationships between ON and OFF period durations in transcriptional bursting.
- Gene activity levels predict average ON and OFF periods for individual alleles.
- Lowly transcribing genes primarily modulate burst frequency (OFF periods), while highly transcribing genes modulate burst size (ON periods).
- These relationships are conserved across developmental stages, body positions, and are robust to perturbations.
Conclusions:
- Transcriptional bursting dynamics are governed by a unified mechanistic constraint, not modular control of independent parameters.
- The findings provide a novel framework for understanding gene expression regulation through bursting kinetics.
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