ArticleScience advances2023
The minimal intrinsic stochasticity of constitutively expressed eukaryotic genes is sub-Poissonian.
Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 43 citations in OpenAlex.
- Establishing MS2-MCP-based single-molecule RNA visualization in Schizosaccharomyces pombe.Journal of cell science · 2026Article
- Stochastic Gene Expression Model with State-Dependent Protein Activation Delay.bioRxiv : the preprint server for biology · 2026Article
- Establishing MS2-MCP-based single-molecule RNA visualization inbioRxiv : the preprint server for biology · 2026Article
- Translational buffering tunes gene expression in mice and humans.Genome biology · 2026Article
- Article
- Stochastic gene expression in proliferating cells: Differing noise intensity in single-cell and population perspectives.PLoS computational biology · 2025Article
- Cell-cycle dependence of bursty gene expression: insights from fitting mechanistic models to single-cell RNA-seq data.Nucleic acids research · 2025Article
- Incorporating spatial diffusion into models of bursty stochastic transcription.Journal of the Royal Society, Interface · 2025Article
- Transient power-law behaviour following induction distinguishes between competing models of stochastic gene expression.Nature communications · 2025Article
- ATP6V1B1 regulates ovarian cancer progression and cisplatin sensitivity through the mTOR/autophagy pathway.Molecular and cellular biochemistry · 2025Article
- Deterministic patterns in single-cell transcriptomic data.NPJ systems biology and applications · 2025Article
- Single-cell RNA sequencing algorithms underestimate changes in transcriptional noise compared to single-molecule RNA imaging.Cell reports methods · 2024Article
- Transcriptional bursting: from fundamentals to novel insights.Biochemical Society transactions · 2024Review
- Quantitative comparison of single-cell RNA sequencing versus single-molecule RNA imaging for quantifying transcriptional noise.bioRxiv : the preprint server for biology · 2024Article
- Single gene analysis in yeast suggests nonequilibrium regulatory dynamics for transcription.Nature communications · 2024Article
- Analysis of a detailed multi-stage model of stochastic gene expression using queueing theory and model reduction.Mathematical biosciences · 2024Article
- Stochastic Gene Expression in Proliferating Cells: Differing Noise Intensity in Single-Cell and Population Perspectives.bioRxiv : the preprint server for biology · 2024Article
- Solving stochastic gene-expression models using queueing theory: A tutorial review.Biophysical journal · 2024Review
- RASP: Optimal Single Puncta Detection in Complex Cellular Backgrounds.The journal of physical chemistry. B · 2024Article
- Power-law behavior of transcriptional bursting regulated by enhancer-promoter communication.Genome research · 2024Article
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5 authors at 4 institutions in 2 countries.
Funding
Abstract
Gene expression inherently gives rise to stochastic variation ("noise") in the production of gene products. Minimizing noise is crucial for ensuring reliable cellular functions. However, noise cannot be suppressed below a certain intrinsic limit. For constitutively expressed genes, this limit is typically assumed to be Poissonian noise, wherein the variance in mRNA numbers is equal to their mean. Here, we demonstrate that several cell division genes in fission yeast exhibit mRNA variances significantly below this limit. The reduced variance can be explained by a gene expression model incorporating multiple transcription and mRNA degradation steps. Notably, in this sub-Poissonian regime, distinct from Poissonian or super-Poissonian regimes, cytoplasmic noise is effectively suppressed through a higher mRNA export rate. Our findings redefine the lower limit of eukaryotic gene expression noise and uncover molecular requirements for achieving ultralow noise, which is expected to be important for vital cellular functions.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.