ArticleCurrent biology : CB2017
Generation of Single-Cell Transcript Variability by Repression.
Article in Current biology : CB, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Assessment of dispersion metrics for estimating single-cell transcriptional variability.PLoS computational biology · 2026Article
- What makes genes burst.Trends in cell biology · 2026Review
- Addressing the mean-variance relationship in spatially resolved transcriptomics data with spoon.Biostatistics (Oxford, England) · 2025Article
- Article
- Addressing the mean-variance relationship in spatially resolved transcriptomics data withbioRxiv : the preprint server for biology · 2024Article
- Single-cell eQTL mapping in yeast reveals a tradeoff between growth and reproduction.bioRxiv : the preprint server for biology · 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
- Stochastic processes in development and disease.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Transcriptional bursting dynamics in gene expression.Frontiers in genetics · 2024Review
- Collective signalling drives rapid jumping between cell states.Development (Cambridge, England) · 2023Article
- Transcriptional bursting: stochasticity in deterministic development.Development (Cambridge, England) · 2023Review
- Single-cell transcriptional uncertainty landscape of cell differentiation.F1000Research · 2023Article
- Article
- Reduction of a stochastic model of gene expression: Lagrangian dynamics gives access to basins of attraction as cell types and metastabilty.Journal of mathematical biology · 2021Article
- PseudoGA: cell pseudotime reconstruction based on genetic algorithm.Nucleic acids research · 2021Article
- Review
- Reverse engineering of a mechanistic model of gene expression using metastability and temporal dynamics.In silico biology · 2021Article
- Gene Networks with Transcriptional Bursting Recapitulate Rare Transient Coordinated High Expression States in Cancer.Cell systems · 2020Article
- Loss of Kat2a enhances transcriptional noise and depletes acute myeloid leukemia stem-like cells.eLife · 2020Article
- Correcting the Mean-Variance Dependency for Differential Variability Testing Using Single-Cell RNA Sequencing Data.Cell systems · 2019Article
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4 authors.
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Abstract
Gene expression levels vary greatly within similar cells, even within clonal cell populations [1]. These spontaneous expression differences underlie cell fate diversity in both differentiation and disease [2]. The mechanisms responsible for generating expression variability are poorly understood. Using single-cell transcriptomics, we show that transcript variability emerging during Dictyostelium differentiation is driven predominantly by repression rather than activation. The increased variability of repressed genes was observed over a broad range of expression levels, indicating that variability is actively imposed and not a passive statistical effect of the reduced numbers of molecules accompanying repression. These findings can be explained by a simple model of transcript production, with expression controlled by the frequency, rather than the magnitude, of transcriptional firing events. Our study reveals that the generation of differences between cells can be a direct consequence of the basic mechanisms of transcriptional regulation.
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