Gene-Specific Linear Trends Constrain Transcriptional Variability of the Toll-like Receptor Signaling.
Gene-Specific Linear Trends Constrain Transcriptional Variability of the Toll-like Receptor Signaling.
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DOI:
10.1016/j.cels.2020.08.007
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发表时间:
2020-09-23
期刊:
影响因子:
9.3
通讯作者:
Paszek P
中科院分区:
文献类型:
--
作者:
Bagnall J;Rowe W;Alachkar N;Roberts J;England H;Clark C;Platt M;Jackson DA;Muldoon M;Paszek P
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. 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 This study demonstrates that transcriptional variability of the toll-like receptor signaling is constrained by mean mRNA responses through gene-specific modulation of transcriptional bursting.
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影响因子:
16.6
作者:
Daniels MJ;Rivers-Auty J;Schilling T;Spencer NG;Watremez W;Fasolino V;Booth SJ;White CS;Baldwin AG;Freeman S;Wong R;Latta C;Yu S;Jackson J;Fischer N;Koziel V;Pillot T;Bagnall J;Allan SM;Paszek P;Galea J;Harte MK;Eder C;Lawrence CB;Brough D
通讯作者:
Brough D
影响因子:
12.3
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Gómez-Schiavon M;Chen LF;West AE;Buchler NE
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Buchler NE
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64.8
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Hagai T;Chen X;Miragaia RJ;Rostom R;Gomes T;Kunowska N;Henriksson J;Park JE;Proserpio V;Donati G;Bossini-Castillo L;Vieira Braga FA;Naamati G;Fletcher J;Stephenson E;Vegh P;Trynka G;Kondova I;Dennis M;Haniffa M;Nourmohammad A;Lässig M;Teichmann SA
通讯作者:
Teichmann SA
影响因子:
56.9
作者:
Femino, A;Fay, FS;Singer, RH
通讯作者:
Singer, RH
影响因子:
12.3
作者:
Dueck H;Khaladkar M;Kim TK;Spaethling JM;Francis C;Suresh S;Fisher SA;Seale P;Beck SG;Bartfai T;Kuhn B;Eberwine J;Kim J
通讯作者:
Kim J