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J Lab Autom ; 20(2): 175-88, 2015 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-25532527

RESUMO

The need for predictive, in vitro cardiac safety screening drives further development of automated, high-throughput-compatible drug evaluation based on cardiac cell preparations. Recently, pluripotent stem cells are evaluated as a new, more predictive model for cardiovascular risk assessment pertaining to in vitro assays. We present a new screening platform, the CardioExcyte 96, a hybrid instrument that combines impedance (cell contractility) with extracellular field potential (EFP) recordings. The electrophysiological measurements are noninvasive, label free and have a temporal resolution of 1 ms. This hybrid technology addresses the lack of easy-to-use high-throughput screening for in vitro assays and permits the reliable investigation of short- and long-term pharmacological effects. Several models of cardiomyocyte preparations were successfully validated for use with the CardioExcyte96. Furthermore, the pharmacological effects of a number of reference compounds were evaluated. Compound effects on cell monolayers of human-induced pluripotent stem cell-derived cardiomyocytes are evaluated using a quasi-simultaneous hybrid recording mode that combines impedance and EFP readouts. A specialized software package for rapid data handling and real-time analysis was developed, which allows for comprehensive investigation of the cellular beat signal. Combining impedance readouts of cell contractility and EFP (microelectrode array-like) recordings, the system opens up new possibilities in the field of in vitro cardiac safety assessment.


Assuntos
Técnicas Citológicas/métodos , Avaliação Pré-Clínica de Medicamentos/métodos , Fenômenos Eletrofisiológicos/efeitos dos fármacos , Ensaios de Triagem em Larga Escala/métodos , Miócitos Cardíacos/efeitos dos fármacos , Miócitos Cardíacos/fisiologia , Técnicas Citológicas/instrumentação , Avaliação Pré-Clínica de Medicamentos/instrumentação , Ensaios de Triagem em Larga Escala/instrumentação , Humanos , Software
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