Evidence map›Paper›PMID 26808777›Full record

ArticlePloS one2016

Single Cell Analysis of a Bacterial Sender-Receiver System.

Tiago Ramalho, Andrea Meyer, Andrea Mückl, Korbinian Kapsner, Ulrich Gerland, Friedrich C Simmel

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Tiago RamalhoPhysics Department, TU München, Garching, Germany.
Andrea MeyerPhysics Department and ZNN/WSI, TU München, Garching, Germany.
Andrea MücklPhysics Department and ZNN/WSI, TU München, Garching, Germany.
Korbinian KapsnerPhysics Department and ZNN/WSI, TU München, Garching, Germany.
Ulrich GerlandPhysics Department, TU München, Garching, Germany.
Friedrich C SimmelPhysics Department and ZNN/WSI, TU München, Garching, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Single-Cell AnalysisAcyl-ButyrolactonesAliivibrio fischeriBacterial ProteinsBioreactorsDose-Response Relationship, DrugEscherichia coliGene Expression Regulation, BacterialGenes, ReporterLab-On-A-Chip DevicesMicroscopy, FluorescenceMicroscopy, VideoQuorum SensingRecombinant Fusion ProteinsTranscription FactorsTransformation, BacterialAcyl-ButyrolactonesBacterial ProteinsLuxI protein, BacteriaRecombinant Fusion ProteinsTranscription Factors

Identifiers

PMID26808777
PMCPMC4726700

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.