ArticlePloS one2016
Single Cell Analysis of a Bacterial Sender-Receiver System.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Single-cell level LasR-mediated quorum sensing response of Pseudomonas aeruginosa to pulses of signal molecules.Scientific reports · 2024Article
- Probing patterning in microbial consortia with a cellular automaton for spatial organisation.Scientific reports · 2022Article
- Bacterial Growth, Communication, and Guided Chemotaxis in 3D-Bioprinted Hydrogel Environments.ACS applied materials & interfaces · 2022Article
- Short-range quorum sensing controls horizontal gene transfer at micron scale in bacterial communities.Nature communications · 2021Article
- Article
- AHLs Regulate Biofilm Formation and Swimming Motility ofFrontiers in microbiology · 2019Article
- Microfluidics and single-cell microscopy to study stochastic processes in bacteria.Current opinion in microbiology · 2018Review
- Filamentation and restoration of normal growth in Escherichia coli using a combined CRISPRi sgRNA/antisense RNA approach.PloS one · 2018Article
- Quantifying the strength of quorum sensing crosstalk within microbial communities.PLoS computational biology · 2017Article
- Isoniazid Killing of Mycobacterium smegmatis NADH Pyrophosphatase Mutant at Single-Cell Level using Microfluidics and Time-Lapse Microscopy.Scientific reports · 2017Article
- Signal Destruction Tunes the Zone of Activation in Spatially Distributed Signaling Networks.Biophysical journal · 2017Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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