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: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 Six condition experiment, individual cell line for each sample on array
Project description:Prostate cancer cell lines DU145 and LNCaP were purchased from the American Type Culture Collection. Radioresistant (RR) sublines were generated form these original parental radiosensitive (RS) cell lines. Gene expression profiles of radiosensitive (RS) and radioresistant (RR) prostate cancer cell lines were measured.
Project description:Prostate cancer cell lines DU145 and LNCaP were purchased from the American Type Culture Collection. Radioresistant (RR) sublines were generated form these original parental radiosensitive (RS) cell lines. aCGH profiles of radiosensitive (RS) and radioresistant (RR) prostate cancer cell lines were measured and compared to normal DNA.
Project description:Analysis of gene expression profiling in osteotropic Lewis Lung carcinoma cells. The osteotropic lung cancer cell sublines were established throuth in vivo selection. The gene expression profiling of parental and osteotropic sublines was identified through microarray analysis.
Project description:To elucidate the regulation of NSD2 in metastatic castration-resistant prostate cancer(CRPC), we performed ChIP-seq of H3K36me2, H3K27me3, H3K4me1, H3K4me3,H3K27ac and NSD2 against castration-sensitive prostate cancer cell line LNCaP and metastatic castration-resistant prostate cancer cell lines, PC3 and DU145, respectively. In metastatic CRPC, we found specific regions of activation with epigenetic changes.
Project description:To elucidate the regulation of NSD2 in metastatic castration-resistant prostate cancer(CRPC), we performed ChIP-seq of H3K36me2, H3K27me3, H3K4me1, H3K4me3,H3K27ac and NSD2 against castration-sensitive prostate cancer cell line LNCaP and metastatic castration-resistant prostate cancer cell lines, PC3 and DU145, respectively. In metastatic CRPC, we found specific regions of activation with epigenetic changes.
Project description:Identification of the molecular changes that promote viability and metastatic behaviour of prostate cancer cells is critical for the development of improved therapeutic interventions for prostate cancer. Stat5a/b and Stat3 are both constitutively active in locally-confined and advanced prostate cancer, and both transcription factors have been reported to be critical for the viability and growth of prostate cancer cells. We used microarrays to compare gene expression profiles regulated by Stat5a/b vs. Stat3 in human prostate cancer cells. DU145 and CWR22Rv1 human prostate cancer cells were transfected with Stat3 siRNA, Stat5a/b siRNA or scramble siRNA as control. After 48 h, the cells were harvested and total RNA was prepared for Affymetrix microarrays.
Project description:Metastasis of prostate cancer lacks effective curatives and results in significant mortality in men worldwide. Here, we developed highly metastatic cells from 22 Rv1 cell line and characterized these sublines as exhibiting high invasion capacity, epithelial-mesenchymal transition, and stem cell-like properties. To understand the molecular signature causally related to these phenotypes, cDNA microarray was applied to compare 22Rv1 with the metastatic sublines for differential gene expression.