DiiPS (Digital Information of iPS Cells) is a database that allows disease-specific iPS cells to be evaluated based on their differentiation propensity. Based on differentiation tendency analysis data obtained through omics analyses, including patterning culture differentiation propensity analysis, it indicates which cell types iPS cells derived from each disease are most likely to differentiate into. This supports the selection of optimal cell lines and the planning of experimental designs in disease model research and regenerative medicine research. The iPS cells listed in this database are available from the Cell Bank of RIKEN BioResource Research Center.

Micropatterned Culture (MPC)

Differentiation induction on a microbench of 1000 um in diameter creates a pattern of differentiation in which differentiated cells of different types are arranged in concentric circles. This method is highly reproducible and synchronous, and is a good indicator of the differentiation potential and differentiation trends of human iPS cell lines. Furthermore, the scRNA-seq method developed in our previous research, which is applicable to any cell state and can analyze a large number of samples at once (multiplexed), will be used to obtain detailed information on the cellular functions of the cells.