Intrinsic limits of timekeeping precision in gene regulatory cascades
Juan Sebastian Hernandez, Cesar Nieto, Juan Manuel Pedraza, Abhyudai Singh

TL;DR
This paper develops an analytical framework to understand the fundamental limits of timing precision in gene regulatory cascades, revealing how cascade length and gene properties influence timing noise.
Contribution
It introduces a hybrid stochastic model to analyze timing variability in gene cascades, extending single-gene results to multi-gene systems with new optimization conditions.
Findings
Optimal activation thresholds minimize timing variability in single genes.
Coupling genes can either improve or worsen timing precision depending on noise and dilution rates.
Increasing cascade length can suppress first-passage-time noise in identical gene cascades.
Abstract
Multiple cellular processes are triggered when the concentration of a regulatory protein reaches a critical threshold. Previous analyses have characterized timing statistics for single-gene systems. However, many biological timers are based on cascades of genes that activate each other sequentially. Here, we develop an analytical framework to describe the timing precision of such cascades using a burst-dilution hybrid stochastic model. We first revisit the single-gene case and recover the known result of an optimal activation threshold that minimizes first-passage-time (FPT) variability. Extending this concept to two-gene cascades, we identify three distinct optimization regimes determined by the ratio of intrinsic noise levels and the protein dilution rate, defining when coupling improves or worsens timing precision compared to a single-gene strategy. Generalizing to cascades of…
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Taxonomy
TopicsGene Regulatory Network Analysis · Diffusion and Search Dynamics · Genomics and Chromatin Dynamics
