Presented By: LSA Biophysics
Biophysics Seminar Series
Dr. Ido Golding (University of Illinois Urbana-Champaign)
Join us on Zoom: https://umich.zoom.us/j/91037518250
The Biophysics Virtual Seminar Series presents:
Dr. Ido Golding - Professor of Physics, School of Molecular & Cellular Biology, University of Illinois Urbana-Champaign
"Illuminating bacterial individuality"
ABSTRACT: Single-cell measurements of mRNA copy numbers inform our understanding of stochastic gene expression, but these measurements coarse-grain over the individual copies of the gene, where transcription and its regulation take place stochastically. We recently combined single-molecule quantification of mRNA and gene loci to measure the transcriptional activity of an endogenous gene in
individual Escherichia coli bacteria. When interpreted using a theoretical model for mRNA dynamics, the single-cell data allowed us to obtain the probabilistic rates of promoter switching, transcription initiation and elongation, mRNA release and degradation. Unexpectedly, we found that gene activity can be strongly coupled to the transcriptional state of another copy of the same gene present in the cell, and to the event of gene replication during the bacterial cell cycle. These gene-copy and cell-cycle correlations demonstrate the limits of mapping whole-cell mRNA numbers to the underlying stochastic gene activity and highlight the contribution of previously hidden variables to the observed population heterogeneity.
The Biophysics Virtual Seminar Series presents:
Dr. Ido Golding - Professor of Physics, School of Molecular & Cellular Biology, University of Illinois Urbana-Champaign
"Illuminating bacterial individuality"
ABSTRACT: Single-cell measurements of mRNA copy numbers inform our understanding of stochastic gene expression, but these measurements coarse-grain over the individual copies of the gene, where transcription and its regulation take place stochastically. We recently combined single-molecule quantification of mRNA and gene loci to measure the transcriptional activity of an endogenous gene in
individual Escherichia coli bacteria. When interpreted using a theoretical model for mRNA dynamics, the single-cell data allowed us to obtain the probabilistic rates of promoter switching, transcription initiation and elongation, mRNA release and degradation. Unexpectedly, we found that gene activity can be strongly coupled to the transcriptional state of another copy of the same gene present in the cell, and to the event of gene replication during the bacterial cell cycle. These gene-copy and cell-cycle correlations demonstrate the limits of mapping whole-cell mRNA numbers to the underlying stochastic gene activity and highlight the contribution of previously hidden variables to the observed population heterogeneity.
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Livestream Information
ZoomOctober 30, 2020 (Friday) 12:00pm
Meeting ID: 91037518250
Meeting Password: Biophysics
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