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• W4205655118 abstract "The electrophysiological study is an essential approach to perform the biology and basic medicine research. To achieve the intracellular electrophysiological investigation, electroporation is introduced as an effective and convenient strategy to achieve the intracellular access of electrogenic cells and obtain high-fidelity action potentials. However, seldom platform could provide a quantitative and dynamic strategy to assess the electroporation-induced membrane perforation and recovery during intracellular electrophysiological investigation. Here we develop a high-throughput, sensitive, and stable biosensing platform to assess the evolution of electroporated cell membrane dynamically and quantitatively based on the recorded intracellular electrophysiological signals of cardiomyocytes. Following the electroporation, the extracellular action potentials transiently convert to the intracellular action potentials, whose amplitude rapidly increases to the maximum and then gradually decays. The intracellular action potentials finally convert back to the extracellular action potentials. This biosensing platform can dynamically explore and characterize the evolution procedures of perforation, stabilization, and resealing of the cell membrane by intracellular recordings. Moreover, the effect of electroporation voltages on the cell membrane is segmentally and quantitatively analyzed, demonstrating that a higher electroporation voltage induced a longer resealing time within the safe range of electroporation voltage. We believed that this dynamic and quantitative electroporated membrane evolution biosensing assessment platform will be a promising tool to pave a new avenue to bridge the electrophysiology and electroporated membrane evolution." @default.
• W4205655118 created "2022-01-25" @default.
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• W4205655118 date "2022-04-01" @default.
• W4205655118 modified "2023-09-27" @default.
• W4205655118 title "A dynamic and quantitative biosensing assessment for electroporated membrane evolution of cardiomyocytes" @default.
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• W4205655118 doi "https://doi.org/10.1016/j.bios.2022.114016" @default.
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