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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

Tutkimustuotosvertaisarvioitu

Standard

Mean and variability in RNA polymerase numbers are correlated to the mean but not the variability in size and composition of Escherichia coli cells. / Almeida, Bilena; Chauhan, Vatsala; Kandavalli, Vinodh; Ribeiro, Andre.

BIOINFORMATICS 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. toim. / Elisabetta De Maria; Hugo Gamboa; Ana Fred. SCITEPRESS, 2019. s. 226-233.

Tutkimustuotosvertaisarvioitu

Harvard

Almeida, B, Chauhan, V, Kandavalli, V & Ribeiro, A 2019, Mean and variability in RNA polymerase numbers are correlated to the mean but not the variability in size and composition of Escherichia coli cells. julkaisussa E De Maria, H Gamboa & A Fred (toim), BIOINFORMATICS 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. SCITEPRESS, Sivut 226-233, Prague, Tshekki, 22/02/19. https://doi.org/10.5220/0007456102260233

APA

Almeida, B., Chauhan, V., Kandavalli, V., & Ribeiro, A. (2019). Mean and variability in RNA polymerase numbers are correlated to the mean but not the variability in size and composition of Escherichia coli cells. teoksessa E. De Maria, H. Gamboa, & A. Fred (Toimittajat), BIOINFORMATICS 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 (Sivut 226-233). SCITEPRESS. https://doi.org/10.5220/0007456102260233

Vancouver

Almeida B, Chauhan V, Kandavalli V, Ribeiro A. Mean and variability in RNA polymerase numbers are correlated to the mean but not the variability in size and composition of Escherichia coli cells. julkaisussa De Maria E, Gamboa H, Fred A, toimittajat, BIOINFORMATICS 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. SCITEPRESS. 2019. s. 226-233 https://doi.org/10.5220/0007456102260233

Author

Almeida, Bilena ; Chauhan, Vatsala ; Kandavalli, Vinodh ; Ribeiro, Andre. / Mean and variability in RNA polymerase numbers are correlated to the mean but not the variability in size and composition of Escherichia coli cells. BIOINFORMATICS 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. Toimittaja / Elisabetta De Maria ; Hugo Gamboa ; Ana Fred. SCITEPRESS, 2019. Sivut 226-233

Bibtex - Lataa

@inproceedings{a014c27f6f9a42afa02704529747dcdd,
title = "Mean and variability in RNA polymerase numbers are correlated to the mean but not the variability in size and composition of Escherichia coli cells",
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.",
keywords = "Cell-to-cell Variability, Flow Cytometry, RNA Polymerase, Single-cell Biology, Statistical Analysis",
author = "Bilena Almeida and Vatsala Chauhan and Vinodh Kandavalli and Andre Ribeiro",
year = "2019",
doi = "10.5220/0007456102260233",
language = "English",
pages = "226--233",
editor = "{De Maria}, Elisabetta and Hugo Gamboa and Ana Fred",
booktitle = "BIOINFORMATICS 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",
publisher = "SCITEPRESS",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - Mean and variability in RNA polymerase numbers are correlated to the mean but not the variability in size and composition of Escherichia coli cells

AU - Almeida, Bilena

AU - Chauhan, Vatsala

AU - Kandavalli, Vinodh

AU - Ribeiro, Andre

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Cell-to-cell Variability

KW - Flow Cytometry

KW - RNA Polymerase

KW - Single-cell Biology

KW - Statistical Analysis

U2 - 10.5220/0007456102260233

DO - 10.5220/0007456102260233

M3 - Conference contribution

SP - 226

EP - 233

BT - BIOINFORMATICS 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

A2 - De Maria, Elisabetta

A2 - Gamboa, Hugo

A2 - Fred, Ana

PB - SCITEPRESS

ER -