Network and systems based re-engineering of dendritic cells with non-coding RNAs for cancer immunotherapy

摘要: Dendritic cells (DCs) are professional antigen-presenting that induce and regulate adaptive immunity by presenting antigens to T cells. Due their coordinative role in immune responses, DCs have been used as cell-based therapeutic vaccination against cancer. The capacity of a response can be enhanced re-wiring cellular signalling pathways with microRNAs (miRNAs). Since the activation maturation is controlled an interconnected network, we deploy approach combines RNA sequencing data systems biology methods delineate miRNA-based strategies enhance DC-elicited responses. Through IKK{beta}-matured currently being tested clinical trial on anti-cancer vaccination, identified 44 differentially expressed miRNAs. According network analysis, most these miRNAs targets linked pathways, such cytokine interleukin signalling. We employed topology-oriented scoring model rank miRNAs, analysed impact immunogenic potency DCs, dozens promising miRNA candidates miR-15a miR-16 top ones. results our analysis incorporated database which constitutes tool identify DC-relevant miRNA-gene interactions potential (www.synmirapy.net/dc-optimization).