Tissular model/sensor seamless system for qualified analysis and its characterization

Clinical drug discovery in most cases begins with molecular screening in order to select a lead-substance. This process is a key step in successful drug development. Lead-substances are marked based on their ability to affect objective biological properties. In order to judge the molecular efficacy of a lead-substance, both animal experimentation and cell-based bioassay have been employed. However, in high throughput assay, cellular biosensing is one of the smart methods. In this study, an NO sensor device was developed which has two functions: NO sensing in cell culture media, and cell adhesion for mammalian cell cultivation. Endothelium cells with intact functionality were also investigated on the molecular level as a tissular model. Furthermore, we analyzed the response graph of the sensor output from the cellular NO sensor. We conclude that, using the multivariate data analysis method, of principal component analysis (PCA), it is possible to deduce typical biological events from the sensor output.

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