Effect of Cell Density on Reproducibility in a Cell-Based Biosensor Using a Microwell Array
- *Corresponding Author:
- Akiyoshi Taniguchi
Director of Cell-Materials Interaction Group
National Institute for Materials Science
Biomaterials Unit, Ibaraki 305-0044 Japan
E-mail: [email protected]
Received Date: April 08, 2012; Accepted Date: May 08, 2012; Published Date: May 11, 2012
Citation: Migita S, Itoga K, Kobayashi J, Okano T, Taniguchi A (2012) Effect of Cell Density on Reproducibility in a Cell-Based Biosensor Using a Microwell Array. J Biosens Bioelectron 3:118. doi: 10.4172/2155-6210.1000118
Copyright: © 2012 Migita S, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Combinations of living cell-based biosensors and microdevices are attractive tools for real-time monitoring of gene expression profiling in a small population of cells involving small amount of analytes. However, due to the heterogeneous responsiveness of cells, cell-based biosensors have poor reproducibility and a low signal-to-noise (S/N) ratio. Previously, we constructed a “sensor cell”, a GFP reporter cell line containing an engineered Heart Shock Protein 70B’ promoter generated by stably transfecting mouse NIH/3T3 cells. In this study, we manipulated the cell density to overcome the lower signal and poor reproducibility using the sensor cells. We found that a cell density of 2 x 105 cells/cm2 provides good responsiveness of sensor cells that appears to be related to the G0/G1 phase of cell cycle. However, higher cell densities had a negative effect for on sensor performance. We also designed microdomains to regulate cell density. The GFP-positive rate of cells grown on domains at 2 x 105 cells/cm2 density was approximately 1.5 times higher than that of control cells. Our results suggest that cell density is an important factor for the design of cell-based biosensors with microdevices.