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• W4386844304 endingPage "e20112" @default.
• W4386844304 startingPage "e20112" @default.
• W4386844304 abstract "Pharmacological studies aimed at the development of newly synthesized drugs directed against ion channels (as well as genetic studies of ion channel mutations) involve the development and use of transfected cells. However, the identification of the best clone, in terms of transfection efficiency, is often a time consuming procedure when performed through traditional methods such as manual patch-clamp. On the other hand, the use of other faster techniques, such as for example the IF, are not informative on the effective biological functionality of the transfected ion channel(s). In the present work, we used the high throughput automated ion channel reader (ICR) technology (ICR8000 Aurora Biomed Inc.) that combine atomic absorption spectroscopy with a patented microsampling process to accurately measure ion flux in cell-based screening assays. This technology indeed helped us to evaluate the transfection efficiency of hERG1 and hKv1.3 channels respectively on the HEK-293 and CHO cellular models. Moreover, as proof of the validity of this innovative method, we have corroborated these data with the functional characterization of the potassium currents carried out by the same clones through patch-clamp recordings. The results obtained in our study are promising and represent a valid methodological strategy to screen a large number of clones simultaneously and to pharmacologically evaluate their functionality within an extremely faster timeframe." @default.
• W4386844304 created "2023-09-20" @default.
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• W4386844304 date "2023-10-01" @default.
• W4386844304 modified "2023-10-17" @default.
• W4386844304 title "High throughput clone screening on overexpressed hERG1 and Kv1.3 potassium channels using ion channel reader (ICR) label free technology" @default.
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• W4386844304 doi "https://doi.org/10.1016/j.heliyon.2023.e20112" @default.
• W4386844304 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37767500" @default.
• W4386844304 hasPublicationYear "2023" @default.
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