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Mean and variability in RNA polymerase numbers are correlated to the mean but not the variability in size and composition of Escherichia coli cells

  • Bilena Almeida
  • , Vatsala Chauhan
  • , Vinodh Kandavalli
  • , Andre Ribeiro

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

    Abstract

    Cell morphology differs with cell physiology in general and with gene expression in particular. We investigate the degree to which these relationships differ with medium richness. Using Escherichia coli cells with fluorescently tagged β' subunits, flow cytometry, and statistical analysis, we study at the single-cell level the correlation between parameters associated to cell morphology and composition (FSC, SSC, and Width channels) and GFP tagged RNA polymerase (RNAp) levels (FITC channel). From measurements in three media differing in richness (M63, LB, and TB) and, thus, cell growth rates, we find that the mean and cell-to-cell variability in RNAp levels are correlated to the mean values of FSC, SSC, and/or Width. Further, in all growth conditions considered, RNAp levels are positively correlated to FSC, SSC, and Width at the single-cell level, with the correlation decreasing for increasing medium richness. Overall, the results suggest that the mean and cell-to-cell variability in levels of RNAp, a master regulator of gene expression, are correlated to the mean values of the parameters assessing the cellular morphology and composition, as measured by flow cytometry, but they do not correlate to the degree of variability of these parameter values.

    Original languageEnglish
    Title of host publicationBIOINFORMATICS 2019 - 10th International Conference on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019
    EditorsElisabetta De Maria, Hugo Gamboa, Ana Fred
    PublisherSCITEPRESS Science and Technology Publications
    Pages226-233
    Number of pages8
    ISBN (Electronic)9789897583537
    DOIs
    Publication statusPublished - 2019
    Publication typeA4 Article in conference proceedings
    Event10th International Conference on Bioinformatics Models, Methods and Algorithms, BIOINFORMATICS 2019 - Part of 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019 - Prague, Czech Republic
    Duration: 22 Feb 201924 Feb 2019

    Conference

    Conference10th International Conference on Bioinformatics Models, Methods and Algorithms, BIOINFORMATICS 2019 - Part of 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019
    Country/TerritoryCzech Republic
    CityPrague
    Period22/02/1924/02/19

    Keywords

    • Cell-to-cell Variability
    • Flow Cytometry
    • RNA Polymerase
    • Single-cell Biology
    • Statistical Analysis

    Publication forum classification

    • Publication forum level 0

    ASJC Scopus subject areas

    • Biomedical Engineering
    • Electrical and Electronic Engineering

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