Both the selectivity and sensitivity of electrochemical nitric oxide (NO) sensing are current problems in practical cellular NO sensing because there are several potential sources of interference in mammalian cell cultures that may disturb electrochemical NO detection. In this paper, the authors have designed and synthesized an Fe-polymer complex sensor material. The sensor material can selectivel...

Cell-based experiments provide the efficacy of chemicals through the biological function.The authors have described post-synapse model cell-based assay based on qualified analysis for neural drug discoveries.However, in general, cell-based assays often include data fluctuation.This may be a barrier preventing the performance for various practical purposes.In this study, we tried discerning data analysis for clarify the chemical action to the ionotoropic glutamate receptor (GluR), whereby an ion-flux assay of post-synapse model cells is performed and are analyzed based on a chemometrics approach.The dynamic behavior of the GluR of post-synapse model cell was assayed with multivariate data analysis methods namely hierarchical cluster analysis (HCA) and principal component analysis (PCA).By using HCA, we can identify and remove the non-responding samples.By using PCA, the effect of chemicals on the dynamic behavior of ion flux through GluR can be recognized clearly; as either agonist or antagonist.As shown in the results, the GluR-based assay by post-synapse model cell with data analysis methods provide a sodium influx profile which is derived by an agonists or antagonists application.By employing the data analysis methods, PCA and HCA, it is possible to develop a smart cellular biosensing system for qualified analysis.

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.

Chisato TANOUE, Hitoshi ASAKAWA, Katsumi MOCHITATE, Shinya IKENO, and Tetsuya HARUYAMA 1 Kyushu Institute of Technology, Department of Biological Functions and Engineering, Kitakyushu Science and Research Park, Kitakyushu, Fukuoka, 808-0196, Japan 2 National Institute for Environmental Studies 16-2, Onogawa, Tsukuba-Shi, Ibaraki, 305-8506, JAPAN E-mail: tanoue-chisato@edu.life.kyutech.ac.jp *haruyama@life.kyutech.ac.jp