Development of a mathematical modeling platform of gene networks for understanding disease mechanisms
Description: Mathematical modeling of cells using differential equations integrates various genetic information such as expression levels and mutations, analyzes network dynamics, and quantitatively evaluates the effects of each element to identify cancer mechanisms and drugs sensitivity. In this study, we constructed a comprehensive mathematical model of the cancer signaling network, input gene expression and mutation information as initial values and parameters, respectively, and simulated dynamics to clarify the effects of each element and the mechanism of cancer development. We have developed computational tools that integrate mathematical models and disease omics data, and by using these analysis tools, we have succeeded in prognostic classification and drug response prediction of breast cancer from network dynamics.
Amount: ¥43,810,000
Funding type: research
Funder scheme: Grant-in-Aid for Scientific Research (A)
Start date: 2018-04-01
End date: 2023-03-31
Investigator: Mariko Okada
Institution: Osaka University
Funded outputs count: 35
Funder award ID: 18H04031
OpenAlex ID: G951705122