Cell Systems
Volume 11, Issue 3, 23 September 2020, Pages 300-314.e8
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Article
Gene-Specific Linear Trends Constrain Transcriptional Variability of the Toll-like Receptor Signaling

https://doi.org/10.1016/j.cels.2020.08.007Get rights and content
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Highlights

  • Single-cell TNF-α and IL-1β mRNA responses are differentially controlled

  • Variability of TLR-induced responses scale linearly with mean mRNA counts

  • Gene-specific constraints emerge via modulation of transcriptional bursting

  • Chromatin state regulates transcriptional bursting of IL-1β

Summary

Single-cell gene expression is inherently variable, but how this variability is controlled in response to stimulation remains unclear. Here, we use single-cell RNA-seq and single-molecule mRNA counting (smFISH) to study inducible gene expression in the immune toll-like receptor system. We show that mRNA counts of tumor necrosis factor α conform to a standard stochastic switch model, while transcription of interleukin-1β involves an additional regulatory step resulting in increased heterogeneity. Despite different modes of regulation, systematic analysis of single-cell data for a range of genes demonstrates that the variability in transcript count is linearly constrained by the mean response over a range of conditions. Mathematical modeling of smFISH counts and experimental perturbation of chromatin state demonstrates that linear constraints emerge through modulation of transcriptional bursting along with gene-specific relationships. Overall, our analyses demonstrate that the variability of the inducible single-cell mRNA response is constrained by transcriptional bursting.

Keywords

cellular heterogeneity
transcriptional bursting
stochastic gene expression
toll-like receptor
single-cell transcriptomics
stochastic modeling
TNF-α
IL-1β

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