Effects of extrinsic noise are promoter kinetics dependent

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    3 Citations (Scopus)
    7 Downloads (Pure)

    Abstract

    Studies in Escherichia coli using in vivo single-RNA detection and time-lapse confocal microscopy showed that transcription is a multiple rate-limiting steps process, in agreement with previous in vitro measurements. Here, from simulations of a stochastic model of transcription validated empirically that accounts for cell-to-cell variability in RNA polymerase (RNAP) numbers, we investigate the hypothesis that the cell-to-cell variability in RNA numbers due to RNAP variability differs with the promoter rate-limiting steps dynamics. We find that increasing the cell-to-cell variability in RNAP numbers increases the cell-to-cell diversity in RNA numbers, but the degree with which it increases is promoter kinetics dependent. Namely, promoters whose open complex formation is relatively longer lasting dampen more efficiently this noise propagation phenomenon. We conclude that cell-to-cell variability in RNA numbers due to variability in RNAP numbers is promoter-sequence dependent and, thus, evolvable.

    Original languageEnglish
    Title of host publicationProceedings of the 2017 9th International Conference on Bioinformatics and Biomedical Technology, ICBBT 2017
    PublisherACM
    Pages44-47
    Number of pages4
    ISBN (Electronic)9781450348799
    DOIs
    Publication statusPublished - 14 May 2017
    Publication typeA4 Article in conference proceedings
    EventInternational Conference on Bioinformatics and Biomedical Technology -
    Duration: 1 Jan 2000 → …

    Conference

    ConferenceInternational Conference on Bioinformatics and Biomedical Technology
    Period1/01/00 → …

    Keywords

    • Extrinsic noise
    • Gene expression
    • Phenotypic diversity
    • Rate-limiting steps
    • Stochastic models
    • Transcription initiation

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Human-Computer Interaction
    • Computer Networks and Communications
    • Computer Vision and Pattern Recognition
    • Software

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