Nonspecific transcription factor binding reduces variability in transcription factor and target protein expression
Mohammad Soltani, Pavol Bokes, Zachary Fox, Abhyudai Singh

TL;DR
This study models how nonspecific decoy binding sites influence the stochastic fluctuations of transcription factors and their target proteins, revealing noise reduction and complex dynamic effects in gene expression.
Contribution
It provides an analytical framework showing how decoy binding sites modulate noise and fluctuation timescales in transcription factor and target protein expression.
Findings
Increasing decoy sites reduces TF noise levels.
Decoy sites can either increase or decrease fluctuation timescales.
Target gene noise decreases with more decoy sites in linear response regimes.
Abstract
Transcription factors (TFs) interact with a multitude of binding sites on DNA and partner proteins inside cells. We investigate how nonspecific binding/unbinding to such decoy binding sites affects the magnitude and time-scale of random fluctuations in TF copy numbers arising from stochastic gene expression. A stochastic model of TF gene expression, together with decoy site interactions is formulated. Distributions for the total (bound and unbound) and free (unbound) TF levels are derived by analytically solving the chemical master equation under physiologically relevant assumptions. Our results show that increasing the number of decoy binding sides considerably reduces stochasticity in free TF copy numbers. The TF autocorrelation function reveals that decoy sites can either enhance or shorten the time-scale of TF fluctuations depending on model parameters. To understand how noise in TF…
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Taxonomy
TopicsGene Regulatory Network Analysis · Single-cell and spatial transcriptomics · Genomics and Chromatin Dynamics
