2016
DOI: 10.1126/science.aad0635
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Measurement of gene regulation in individual cells reveals rapid switching between promoter states

Abstract: In vivo mapping of transcription-factor binding to the transcriptional output of the regulated gene is hindered by probabilistic promoter occupancy, the presence of multiple gene copies, and cell-to-cell variability. We demonstrate how to overcome these obstacles in the lysogeny maintenance promoter of bacteriophage lambda, PRM. We simultaneously measured the concentration of the lambda repressor CI and the number of mRNAs from PRM in individual E. coli cells, and used a theoretical model to identify the stoch… Show more

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Cited by 119 publications
(151 citation statements)
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“…Furthermore, the largely changeable k A , relative to the other parameters ( k R and k I ), is consistent with the suggested kinetic scheme under the gene-nonspecific constraint, in which only k off (10 −5 ∼10 2  s −1 ) is varied to change the gene expression level6. In addition, our model is compatible with the model that promoter structure and state control the kinetics of transcriptional bursting1023 by the modulation of transcription initiation rate ( k I ). The k I is a critical parameter to control not only the mean of mRNA distribution but also the Fano factor as our experimental data suggest.…”
Section: Discussionsupporting
confidence: 85%
“…Furthermore, the largely changeable k A , relative to the other parameters ( k R and k I ), is consistent with the suggested kinetic scheme under the gene-nonspecific constraint, in which only k off (10 −5 ∼10 2  s −1 ) is varied to change the gene expression level6. In addition, our model is compatible with the model that promoter structure and state control the kinetics of transcriptional bursting1023 by the modulation of transcription initiation rate ( k I ). The k I is a critical parameter to control not only the mean of mRNA distribution but also the Fano factor as our experimental data suggest.…”
Section: Discussionsupporting
confidence: 85%
“…At the same time, recent work has also attempted to link transcription factor localization and binding to transcription. Using cutting edge microscopy (Elf et al, 2007; Hammar et al, 2012) and probing technology (Shah and Tyagi, 2013), efforts to relate the binding of transcription factors to transcription itself are just now shedding light on these relationships (Larson et al, 2011b; Sepúlveda et al, 2016; Shah and Tyagi, 2013; Xu et al, 2015), and single cell reporters of methylation are on the horizon as well (Stelzer et al, 2015). The advent of genome-wide techniques for measuring transcription factor binding provide a glimpse of what the future holds in this regard (Buenrostro et al, 2015; Cusanovich et al, 2015).…”
Section: How Cells Are Different From Each Other: Let Me Count the Waysmentioning
confidence: 99%
“…Uncovering such dynamics is not only fundamental to comprehending how transcription is orchestrated, but also essential to interpret the behaviors of gene regulatory networks – due to the resulting complex temporal evolution of transcript numbers (2,4,1722). Those kinetic steps are hard to detect experimentally, especially when unstable protein complexes and unknown transient interactions are involved (2326). Recently, the steps of the holoenzyme σ 54 -RNA polymerase (σ 54 RNAP) associating with promoter DNA have been dissected (27,28).…”
Section: Introductionmentioning
confidence: 99%