Project description:Defective in Cullin Neddylation 1 Domain Containing 1 (DCUN1D1) is an E3 ligase for neddylation, a post translational process similar to, and that runs in parallel with the ubiquitin proteasome pathway. Although being established as an oncogene in various squamous cell carcinomas, the role of DCUN1D1 in prostate cancer has not been explored. Here we used microarray analysis to determine the set of genes regulated by DCUN1D1 in prostate cancer cells. Using the prostate cancer DU145 cell line as model, and a lentivirus encoding shRNA-DCUN1D1, we generated DCUN1D1 knockdown cell lines. Microarray analysis identified deregulation of key gene expression, cellular growth and proliferation, developmental, cell death and cancer pathways as possible mechanisms mediated by DCUN1D1 in prostate cancer.
Project description:SpCas9 has been broadly used in gene editing, while as a bacterial protein, its effects on mammalian cell behavior remains unclear. We established stable SpCas9 expression in a panel of mammalian cell lines and found stable SpCas9 expression could affect cell growth in vitro. For example, we observed that SpCas9 expression promoted DU145 cell proliferation. To understand underlying mechansims, we performed this RNA-Seq analysis in DU145-NC (negative control) and SpCas9 expressing cells, aiming to find how SpCas9 modulates gene expression that may contribute to its cell proliferation control.
Project description:Comparison of non-coding RNA profiling by array in sublines of DU145 human prostate cancer cell lines created by in vivo cycling Cell lines created by removal and growth of metastatic human DU145 tumor cells from mouse lymph node (metastasized from prostate xenograft) for LN cells and extracted from lung after intravenous injection (ivLU cells). Cell line numebr represented number of in vivo cycles of metastatic selection
Project description:To investigate the anti-tumor function of compound H93 in the development of prostate cancer, we treated DU145 cell lines with H93, SAHA or DMSO. We then performed gene expression profiling analysis using data obtained from RNA-seq of cells after treatment.