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Improved multiparametric scrape loading-dye transfer assay for a simultaneous high-throughput analysis of gap junctional intercellular communication, cell density and viability
A. Dydowiczová, O. Brózman, P. Babica, I. Sovadinová,
Jazyk angličtina Země Velká Británie
Typ dokumentu časopisecké články, práce podpořená grantem
NLK
Directory of Open Access Journals
od 2011
Free Medical Journals
od 2011
Nature Open Access
od 2011-12-01
PubMed Central
od 2011
Europe PubMed Central
od 2011
ProQuest Central
od 2011-01-01
Open Access Digital Library
od 2011-01-01
Open Access Digital Library
od 2011-01-01
Health & Medicine (ProQuest)
od 2011-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2011
Springer Nature OA/Free Journals
od 2011-12-01
- MeSH
- fluorescenční mikroskopie metody MeSH
- krysa rodu rattus MeSH
- kultivované buňky MeSH
- mezerový spoj * MeSH
- mezibuněčná komunikace * MeSH
- molekulární zobrazování metody MeSH
- počet buněk * MeSH
- počítačové zpracování obrazu metody MeSH
- viabilita buněk * MeSH
- zvířata MeSH
- Check Tag
- krysa rodu rattus MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
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.
Citace poskytuje Crossref.org
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