Evidence map›Paper›PMID 28570523›Full record

ArticleJournal of visualized experiments : JoVE2017

Cellular Redox Profiling Using High-content Microscopy.

Tom Sieprath, Tobias Corne, Joke Robijns, Werner J H Koopman, Winnok H De Vos

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Improve your success with fish cell lines-small things that matter.In vitro cellular & developmental biology. Animal · 2026
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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

5 authors.

Tom SieprathLaboratory of Cell Biology and Histology, Department of Veterinary Sciences, University of Antwerp; Cell Systems and Imaging Research Group (CSI), Department of Molecular Biotechnology, Ghent University.
Tobias CorneLaboratory of Cell Biology and Histology, Department of Veterinary Sciences, University of Antwerp; Cell Systems and Imaging Research Group (CSI), Department of Molecular Biotechnology, Ghent University.
Joke RobijnsLaboratory of Cell Biology and Histology, Department of Veterinary Sciences, University of Antwerp.
Werner J H KoopmanDepartment of Biochemistry , Radboud Institute for Molecular Life Sciences, Radboud University Medical Center.
Winnok H De VosLaboratory of Cell Biology and Histology, Department of Veterinary Sciences, University of Antwerp; Cell Systems and Imaging Research Group (CSI), Department of Molecular Biotechnology, Ghent University; winnok.devos@uantwerpen.be.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reactive oxygen species (ROS) regulate essential cellular processes including gene expression, migration, differentiation and proliferation. However, excessive ROS levels induce a state of oxidative stress, which is accompanied by irreversible oxidative damage to DNA, lipids and proteins. Thus, quantification of ROS provides a direct proxy for cellular health condition. Since mitochondria are among the major cellular sources and targets of ROS, joint analysis of mitochondrial function and ROS production in the same cells is crucial for better understanding the interconnection in pathophysiological conditions. Therefore, a high-content microscopy-based strategy was developed for simultaneous quantification of intracellular ROS levels, mitochondrial membrane potential (ΔΨm) and mitochondrial morphology. It is based on automated widefield fluorescence microscopy and image analysis of living adherent cells, grown in multi-well plates, and stained with the cell-permeable fluorescent reporter molecules CM-H2DCFDA (ROS) and TMRM (ΔΨm and mitochondrial morphology). In contrast with fluorimetry or flow-cytometry, this strategy allows quantification of subcellular parameters at the level of the individual cell with high spatiotemporal resolution, both before and after experimental stimulation. Importantly, the image-based nature of the method allows extracting morphological parameters in addition to signal intensities. The combined feature set is used for explorative and statistical multivariate data analysis to detect differences between subpopulations, cell types and/or treatments. Here, a detailed description of the assay is provided, along with an example experiment that proves its potential for unambiguous discrimination between cellular states after chemical perturbation.

Indexed as

Cells, CulturedFibroblastsFluoresceinsFluorescent DyesHumansMembrane Potential, MitochondrialMicroscopy, FluorescenceMitochondriaOxidation-ReductionOxidative StressReactive Oxygen SpeciesRhodamines2',7'-dichlorodihydrofluorescein diacetateFluoresceinsFluorescent DyesReactive Oxygen SpeciesRhodaminestetramethylrhodamine methyl ester

Identifiers

PMID28570523
PMCPMC5607941

What OpenQuestion holds

Textmetadata
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.