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Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms
Article . 2019 . Peer-reviewed
License: CC BY NC ND
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Article . 2020 . Peer-reviewed
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Regulation of asymmetries in the kinetics and protein numbers of bacterial gene expression

Authors: Sofia Startceva; Vinodh K. Kandavalli; Ari Visa; Andre S. Ribeiro;

Regulation of asymmetries in the kinetics and protein numbers of bacterial gene expression

Abstract

Genetic circuits change the status quo of cellular processes when their protein numbers cross thresholds. We investigate the regulation of RNA and protein threshold crossing propensities in Escherichia coli. From in vivo single RNA time-lapse microscopy data from multiple promoters, mutants, induction schemes and media, we study the asymmetry and tailedness (quantified by the skewness and kurtosis, respectively) of the distributions of time intervals between transcription events. We find that higher thresholds can be reached by increasing the skewness and kurtosis, which is shown to be achievable without affecting mean and coefficient of variation, by regulating the rate-limiting steps in transcription initiation. Also, they propagate to the skewness and kurtosis of the distributions of protein expression levels in cell populations. The results suggest that the asymmetry and tailedness of RNA and protein numbers in cell populations, by controlling the propensity for threshold crossing, and due to being sequence dependent and subject to regulation, may be key regulatory variables of decision-making processes in E. coli.

Keywords

570, Microscopy, Models, Genetic, Transcription, Genetic, Escherichia coli Proteins, 610, Gene Expression Regulation, Bacterial, 113 Computer and information sciences, Time-Lapse Imaging, 113, Kinetics, RNA, Bacterial, Genes, Bacterial, Escherichia coli, Gene Regulatory Networks, Single-Cell Analysis

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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Top 10%
Green
hybrid