ArticlePLoS computational biology2017
Effect of transcription factor resource sharing on gene expression noise.
Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Progress in the development of cytokine armoured CAR T cells.Nature reviews. Immunology · 2026Review
- Hydrolysis-dependent severing tunes internal monomeric heterogeneity to shape actin length distributions.bioRxiv : the preprint server for biology · 2025Article
- Effects of microRNA-mediated negative feedback on gene expression noise.Biophysical journal · 2023Article
- Transcription factor fluctuations underlie cell-to-cell variability in a signaling pathway response.Genetics · 2023Article
- Transcription factor binding process is the primary driver of noise in gene expression.PLoS genetics · 2022Article
- Hematopoietic and Chronic Myeloid Leukemia Stem Cells: Multi-Stability versus Lineage Restriction.International journal of molecular sciences · 2022Review
- Fetal maturation revealed by amniotic fluid cell-free transcriptome in rhesus macaques.JCI insight · 2022Article
- A synthetic synthesis to explore animal evolution and development.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Review
- Controlling gene expression timing through gene regulatory architecture.PLoS computational biology · 2022Article
- Diverse role of decoys on emergence and precision of oscillations in a biomolecular clock.Biophysical journal · 2021Article
- A balancing act in transcription regulation by response regulators: titration of transcription factor activity by decoy DNA binding sites.Nucleic acids research · 2021Article
- Emergent correlations in gene expression dynamics as footprints of resource competition.The European physical journal. E, Soft matter · 2021Article
- Synthetic protein-binding DNA sponge as a tool to tune gene expression and mitigate protein toxicity.Nature communications · 2020Article
- Capturing and Understanding the Dynamics and Heterogeneity of Gene Expression in the Living Cell.International journal of molecular sciences · 2020Review
- Enhancement of gene expression noise from transcription factor binding to genomic decoy sites.Scientific reports · 2020Article
- Probing Mechanisms of Transcription Elongation Through Cell-to-Cell Variability of RNA Polymerase.Biophysical journal · 2020Article
- Distribution of Initiation Times Reveals Mechanisms of Transcriptional Regulation in Single Cells.Biophysical journal · 2018Article
- Parallel arrangements of positive feedback loops limit cell-to-cell variability in differentiation.PloS one · 2017Article
Corrections and comments
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Gene expression is intrinsically a stochastic (noisy) process with important implications for cellular functions. Deciphering the underlying mechanisms of gene expression noise remains one of the key challenges of regulatory biology. Theoretical models of transcription often incorporate the kinetics of how transcription factors (TFs) interact with a single promoter to impact gene expression noise. However, inside single cells multiple identical gene copies as well as additional binding sites can compete for a limiting pool of TFs. Here we develop a simple kinetic model of transcription, which explicitly incorporates this interplay between TF copy number and its binding sites. We show that TF sharing enhances noise in mRNA distribution across an isogenic population of cells. Moreover, when a single gene copy shares it's TFs with multiple competitor sites, the mRNA variance as a function of the mean remains unaltered by their presence. Hence, all the data for variance as a function of mean expression collapse onto a single master curve independent of the strength and number of competitor sites. However, this result does not hold true when the competition stems from multiple copies of the same gene. Therefore, although previous studies showed that the mean expression follows a universal master curve, our findings suggest that different scenarios of competition bear distinct signatures at the level of variance. Intriguingly, the introduction of competitor sites can transform a unimodal mRNA distribution into a multimodal distribution. These results demonstrate the impact of limited availability of TF resource on the regulation of noise in gene expression.
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