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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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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. |
format | Online Article Text |
id | pubmed-4726700 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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