Evidence map›Paper›PMID 29311668›Full record

ArticleScientific reports2018

CLIQ-BID: A method to quantify bacteria-induced damage to eukaryotic cells by automated live-imaging of bright nuclei.

Yann Wallez, Stéphanie Bouillot, Emmanuelle Soleilhac, Philippe Huber, Ina Attrée, Eric Faudry

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.4field-weighted citation impact, top 13% of its field
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

2 citing papers in PubMed, 19 citations in OpenAlex.

  1. Induction of Necrosis in Human Macrophage Cell Lines byInternational journal of molecular sciences · 2019
    Article
  2. The Infection Process ofFrontiers in cellular and infection microbiology · 2018
    Review
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 at 2 institutions in 1 country.

Yann WallezUGA, CEA, INSERM, CNRS, Bacterial Pathogenesis and Cellular Responses, Biosciences and Biotechnology Institute of Grenoble, Grenoble, France.
Stéphanie BouillotUGA, CEA, INSERM, CNRS, Bacterial Pathogenesis and Cellular Responses, Biosciences and Biotechnology Institute of Grenoble, Grenoble, France.
Emmanuelle SoleilhacUGA, CEA, INSERM; Genetics & Chemogenomics, CMBA Platform, Biosciences and Biotechnology Institute of Grenoble, Grenoble, France.
Philippe HuberUGA, CEA, INSERM, CNRS, Bacterial Pathogenesis and Cellular Responses, Biosciences and Biotechnology Institute of Grenoble, Grenoble, France.
Ina AttréeUGA, CEA, INSERM, CNRS, Bacterial Pathogenesis and Cellular Responses, Biosciences and Biotechnology Institute of Grenoble, Grenoble, France.
Eric FaudryUGA, CEA, INSERM, CNRS, Bacterial Pathogenesis and Cellular Responses, Biosciences and Biotechnology Institute of Grenoble, Grenoble, France. eric.faudry@cea.fr.
Centre National de la Recherche Scientifique · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathogenic bacteria induce eukaryotic cell damage which range from discrete modifications of signalling pathways, to morphological alterations and even to cell death. Accurate quantitative detection of these events is necessary for studying host-pathogen interactions and for developing strategies to protect host organisms from bacterial infections. Investigation of morphological changes is cumbersome and not adapted to high-throughput and kinetics measurements. Here, we describe a simple and cost-effective method based on automated analysis of live cells with stained nuclei, which allows real-time quantification of bacteria-induced eukaryotic cell damage at single-cell resolution. We demonstrate that this automated high-throughput microscopy approach permits screening of libraries composed of interference-RNA, bacterial strains, antibodies and chemical compounds in ex vivo infection settings. The use of fluorescently-labelled bacteria enables the concomitant detection of changes in bacterial growth. Using this method named CLIQ-BID (Cell Live Imaging Quantification of Bacteria Induced Damage), we were able to distinguish the virulence profiles of different pathogenic bacterial species and clinical strains.

Indexed as

Bacterial Physiological PhenomenaAnimalsEndothelial CellsEukaryotic CellsHeLa CellsHumansHuman Umbilical Vein Endothelial CellsMiceMolecular ImagingNIH 3T3 Cells

Identifiers

PMID29311668
PMCPMC5758606
OpenAlexW2781546749

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.