Biosensors & Bioelectronics

Satoshi Migita

Publications

• Research Article
  Discerning Data Analysis Methods to Clarify Agonistic/Antagonistic Actions on the Ion Flux Assay of Ligand-Gated Ionotropic Glutamate Receptor on Engineered Post-Synapse Model Cells
  Author(s): Akito Tateishi, Michael Cauchi, Chisato Tanoue, Satoshi Migita, Sarah K. Coleman, Shinya Ikeno, Kari Keinänen, Conrad Bessant and Tetsuya HaruyamaAkito Tateishi, Michael Cauchi, Chisato Tanoue, Satoshi Migita, Sarah K. Coleman, Shinya Ikeno, Kari Keinänen, Conrad Bessant and Tetsuya Haruyama
  
  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 o.. Read More»
  DOI: 10.4172/2155-6210.1000104

  Abstract PDF