ArticleCell systems2018
Cytoplasmic Amplification of Transcriptional Noise Generates Substantial Cell-to-Cell Variability.
Article in Cell systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.
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Who cites it
50 citing papers in PubMed, 105 citations in OpenAlex.
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- Enhanced MiRISC expression noise reduction by self-feedback regulation of mRNA degradation.Computational and structural biotechnology journal · 2026Article
- Monod: model-based discovery and integration through fitting stochastic transcriptional dynamics to single-cell sequencing data.Nature methods · 2025Article
- Single-cell analyses reveal increased gene expression variability in human neurodevelopmental conditions.American journal of human genetics · 2025Article
- Incorporating spatial diffusion into models of bursty stochastic transcription.Journal of the Royal Society, Interface · 2025Article
- Single-cell RNA sequencing algorithms underestimate changes in transcriptional noise compared to single-molecule RNA imaging.Cell reports methods · 2024Article
- Method of moments framework for differential expression analysis of single-cell RNA sequencing data.Cell · 2024Article
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- Quantitative comparison of single-cell RNA sequencing versus single-molecule RNA imaging for quantifying transcriptional noise.bioRxiv : the preprint server for biology · 2024Article
- Molecular models of bidirectional promoter regulation.Current opinion in structural biology · 2024Review
- Histone deacetylase Hos2 regulates protein expression noise by potentially modulating the protein translation machinery.Nucleic acids research · 2024Article
- Analysis of a detailed multi-stage model of stochastic gene expression using queueing theory and model reduction.Mathematical biosciences · 2024Article
- ARTseq-FISH reveals position-dependent differences in gene expression of micropatterned mESCs.Nature communications · 2024Article
- Contributions of transcriptional noise to leukaemia evolution: KAT2A as a case-study.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- Article
- Gene expression flux analysis reveals specific regulatory modalities of gene expression.iScience · 2023Article
- Noise Minimization in Cell-Free Gene Expression.ACS synthetic biology · 2023Article
- The minimal intrinsic stochasticity of constitutively expressed eukaryotic genes is sub-Poissonian.Science advances · 2023Article
- Biophysical modeling with variational autoencoders for bimodal, single-cell RNA sequencing data.bioRxiv : the preprint server for biology · 2023Article
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4 authors at 2 institutions in 1 country.
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Abstract
Transcription is an episodic process characterized by probabilistic bursts, but how the transcriptional noise from these bursts is modulated by cellular physiology remains unclear. Using simulations and single-molecule RNA counting, we examined how cellular processes influence cell-to-cell variability (noise). The results show that RNA noise is higher in the cytoplasm than the nucleus in ∼85% of genes across diverse promoters, genomic loci, and cell types (human and mouse). Measurements show further amplification of RNA noise in the cytoplasm, fitting a model of biphasic mRNA conversion between translation- and degradation-competent states. This multi-state translation-degradation of mRNA also causes substantial noise amplification in protein levels, ultimately accounting for ∼74% of intrinsic protein variability in cell populations. Overall, the results demonstrate how noise from transcriptional bursts is intrinsically amplified by mRNA processing, leading to a large super-Poissonian variability in protein levels.
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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 OpenQuestion graph.