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Updated: Aug 29, 2025
08:53
A Reporter Based Cellular Assay for Monitoring Splicing Efficiency
Published on: September 15, 2021
2.9K
Frequency response in splicing regulation under mRNA auto-depletion control.
Summary
This study analyzes gene networks with splicing, revealing how burst size and conversion rates impact noise. Negative feedback controls noise across frequencies.
Area of Science:
- Systems Biology
- Computational Biology
- Molecular Biology
Background:
- Stochastic models of gene networks often overlook post-transcriptional regulation via splicing.
- Splicing's role in gene regulation, particularly for viruses, is understudied, especially in the frequency domain.
- Existing research primarily focuses on steady-state moments, neglecting dynamic frequency-dependent behaviors.
Purpose of the Study:
- To theoretically investigate a gene network with splicing regulation and negative feedback control from a frequency domain perspective.
- To analyze the impact of splicing on gene expression noise.
- To explore how mRNA auto-depletion can modulate noise.
Main Methods:
- Frequency domain analysis of a stochastic gene network model.
- Inclusion of post-transcriptional regulation via splicing.
- Modeling negative feedback control through mRNA auto-depletion.
Main Results:
- Burst size was found to enhance the noise power spectrum.
- Splicing conversion rates can increase pre-mRNA noise and decrease mRNA noise at high conversion rates.
- mRNA auto-depletion acts as a frequency-dependent control mechanism for noise modulation based on feedback strength.
Conclusions:
- Splicing significantly influences gene expression noise dynamics.
- Frequency domain analysis provides crucial insights into stochastic gene regulation not apparent from steady-state analysis.
- Negative feedback control, specifically mRNA auto-depletion, offers a tunable mechanism to manage noise in gene networks with splicing.
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