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Single Cell Analysis of a Bacterial Sender-Receiver System

Monitoring gene expression dynamics on the single cell level provides important information on cellular heterogeneity and stochasticity, and potentially allows for more accurate quantitation of gene expression processes. We here study bacterial senders and receivers genetically engineered with compo...

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Autores principales: Ramalho, Tiago, Meyer, Andrea, Mückl, Andrea, Kapsner, Korbinian, Gerland, Ulrich, Simmel, Friedrich C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4726700/
https://www.ncbi.nlm.nih.gov/pubmed/26808777
http://dx.doi.org/10.1371/journal.pone.0145829
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author Ramalho, Tiago
Meyer, Andrea
Mückl, Andrea
Kapsner, Korbinian
Gerland, Ulrich
Simmel, Friedrich C.
author_facet Ramalho, Tiago
Meyer, Andrea
Mückl, Andrea
Kapsner, Korbinian
Gerland, Ulrich
Simmel, Friedrich C.
author_sort Ramalho, Tiago
collection PubMed
description Monitoring gene expression dynamics on the single cell level provides important information on cellular heterogeneity and stochasticity, and potentially allows for more accurate quantitation of gene expression processes. We here study bacterial senders and receivers genetically engineered with components of the quorum sensing system derived from Aliivibrio fischeri on the single cell level using microfluidics-based bacterial chemostats and fluorescence video microscopy. We track large numbers of bacteria over extended periods of time, which allows us to determine bacterial lineages and filter out subpopulations within a heterogeneous population. We quantitatively determine the dynamic gene expression response of receiver bacteria to varying amounts of the quorum sensing inducer N-3-oxo-C6-homoserine lactone (AHL). From this we construct AHL response curves and characterize gene expression dynamics of whole bacterial populations by investigating the statistical distribution of gene expression activity over time. The bacteria are found to display heterogeneous induction behavior within the population. We therefore also characterize gene expression in a homogeneous bacterial subpopulation by focusing on single cell trajectories derived only from bacteria with similar induction behavior. The response at the single cell level is found to be more cooperative than that obtained for the heterogeneous total population. For the analysis of systems containing both AHL senders and receiver cells, we utilize the receiver cells as ‘bacterial sensors’ for AHL. Based on a simple gene expression model and the response curves obtained in receiver-only experiments, the effective AHL concentration established by the senders and their ‘sending power’ is determined.
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spelling pubmed-47267002016-02-03 Single Cell Analysis of a Bacterial Sender-Receiver System Ramalho, Tiago Meyer, Andrea Mückl, Andrea Kapsner, Korbinian Gerland, Ulrich Simmel, Friedrich C. PLoS One Research Article Monitoring gene expression dynamics on the single cell level provides important information on cellular heterogeneity and stochasticity, and potentially allows for more accurate quantitation of gene expression processes. We here study bacterial senders and receivers genetically engineered with components of the quorum sensing system derived from Aliivibrio fischeri on the single cell level using microfluidics-based bacterial chemostats and fluorescence video microscopy. We track large numbers of bacteria over extended periods of time, which allows us to determine bacterial lineages and filter out subpopulations within a heterogeneous population. We quantitatively determine the dynamic gene expression response of receiver bacteria to varying amounts of the quorum sensing inducer N-3-oxo-C6-homoserine lactone (AHL). From this we construct AHL response curves and characterize gene expression dynamics of whole bacterial populations by investigating the statistical distribution of gene expression activity over time. The bacteria are found to display heterogeneous induction behavior within the population. We therefore also characterize gene expression in a homogeneous bacterial subpopulation by focusing on single cell trajectories derived only from bacteria with similar induction behavior. The response at the single cell level is found to be more cooperative than that obtained for the heterogeneous total population. For the analysis of systems containing both AHL senders and receiver cells, we utilize the receiver cells as ‘bacterial sensors’ for AHL. Based on a simple gene expression model and the response curves obtained in receiver-only experiments, the effective AHL concentration established by the senders and their ‘sending power’ is determined. Public Library of Science 2016-01-25 /pmc/articles/PMC4726700/ /pubmed/26808777 http://dx.doi.org/10.1371/journal.pone.0145829 Text en © 2016 Ramalho et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ramalho, Tiago
Meyer, Andrea
Mückl, Andrea
Kapsner, Korbinian
Gerland, Ulrich
Simmel, Friedrich C.
Single Cell Analysis of a Bacterial Sender-Receiver System
title Single Cell Analysis of a Bacterial Sender-Receiver System
title_full Single Cell Analysis of a Bacterial Sender-Receiver System
title_fullStr Single Cell Analysis of a Bacterial Sender-Receiver System
title_full_unstemmed Single Cell Analysis of a Bacterial Sender-Receiver System
title_short Single Cell Analysis of a Bacterial Sender-Receiver System
title_sort single cell analysis of a bacterial sender-receiver system
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4726700/
https://www.ncbi.nlm.nih.gov/pubmed/26808777
http://dx.doi.org/10.1371/journal.pone.0145829
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