Modeling and characterization of the dynamic gene regulatory networks underlying cancer drug resistance based on time-course RNA-seq data

Drug resistance is a major cause for the failure of cancer chemotherapy or targeted therapy. However, the molecular regulatory mechanisms controlling the dynamic evolvement of drug resistance remain poorly understood. Thus, it is important to develop methods for unraveling gene regulatory mechanisms underlying the resistance to specific drugs. We used glioma differentiation therapy as a realistic case and time-course RNA-seq to investigate the temporal gene expression changes in sensitive and resistant cells. A computational method was developed to model and characterize the dynamic gene regulatory networks underlying cancer drug resistance based on time-course RNA-seq data. DBTRG-05MG/U87/LN18 tumor cells were treated with 1 mol/L dbcAMP for 3 days,respectively.And we used RNA-seq to detail the drug resistance network based on time-course RNA-seq data.