Evidence map›Paper›PMID 31959888›Full record

ArticleScientific reports2020

Improved multiparametric scrape loading-dye transfer assay for a simultaneous high-throughput analysis of gap junctional intercellular communication, cell density and viability.

Aneta Dydowiczová, Ondřej Brózman, Pavel Babica, Iva Sovadinová

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  4. Dibenzocyclooctadiene Lignans fromInternational journal of molecular sciences · 2024
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  7. CaInternational journal of molecular sciences · 2023
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  8. Review
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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

4 authors at 1 institution in 1 country.

Aneta DydowiczováMasaryk University, Faculty of Science, RECETOX, Kamenice 5, CZ-62500, Brno, Czech Republic.
Ondřej BrózmanMasaryk University, Faculty of Science, RECETOX, Kamenice 5, CZ-62500, Brno, Czech Republic.
Pavel BabicaMasaryk University, Faculty of Science, RECETOX, Kamenice 5, CZ-62500, Brno, Czech Republic.
Iva SovadinováMasaryk University, Faculty of Science, RECETOX, Kamenice 5, CZ-62500, Brno, Czech Republic. sovadinova@recetox.muni.cz.ORCID http://orcid.org/0000-0003-0627-243X
Masaryk University · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gap junctional intercellular communication (GJIC) is a vital cellular process required for maintenance of tissue homeostasis. In vitro assessment of GJIC represents valuable phenotypic endpoint that could be effectively utilized as an integral component in modern toxicity testing, drug screening or biomedical in vitro research. However, currently available methods for quantifying GJIC with higher-throughputs typically require specialized equipment, proprietary software and/or genetically engineered cell models. To overcome these limitations, we present here an innovative adaptation of traditional, fluorescence microscopy-based scrape loading-dye transfer (SL-DT) assay, which has been optimized to simultaneously evaluate GJIC, cell density and viability. This multiparametric method was demonstrated to be suitable for various multiwell microplate formats, which facilitates an automatized image acquisition. The assay workflow is further assisted by an open source-based software tools for batch image processing, analysis and evaluation of GJIC, cell density and viability. Our results suggest that this approach provides a simple, fast, versatile and cost effective way for in vitro high-throughput assessment of GJIC and other related phenotypic cellular events, which could be included into in vitro screening and assessment of pharmacologically and toxicologically relevant compounds.

Indexed as

Cell CommunicationCell CountCell SurvivalGap JunctionsAnimalsCells, CulturedImage Processing, Computer-AssistedMicroscopy, FluorescenceMolecular ImagingRats

Identifiers

PMID31959888
PMCPMC6971000
OpenAlexW3009991690

What Socratic 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 Socratic graph.