Project description:We generated and characterized an androgen-independent LNCaP-AI cell line by long-term culture of androgen-dependent LNCaP cells in RPMI-1640 medium containing charcoal-stripped serum. This approach used to generate the line mimics the castration resistant condition for treating prostate cancer, supporting the relevance of the LNCAP-AI cell line to Castration Resistant Prostate Cancer.
Project description:Prostate cancer is the most common cancer in men and AR downstream signalings promote prostate cancer cell proliferation. To investigate the AR signaling, we performed RNA sequence analysis in AR positive prostate cancer cell line, LNCaP.
Project description:Transcriptional profiling of human prostate cancer cell line LNCaP treated with Metformin or AICAR compared to control non-stimulated LNCaP.
Project description:We report that the adaptor protein, paxillin, regulates some androgen responsive genes in the castration sensitive prostate cancer cell line, LNCaP.
Project description:We optimized ChIP-sequencing protocole and anti-androgen receptor (AR) antibodies on human prostate cancer cell line (LNCaP) after either DMSO (solvent) or DHT 100nM 4 hours treatment.
Project description:BACKGROUND. Human prostate cancer LNCaP and PC-3 cell lines have been extensively used as prostate cancer cell models to study prostate cancer progression and to develop therapeutic agents. Although LNCaP and PC-3 cells are generally assumed to represent early and late stages of prostate cancer development, respectively, there is limited information regarding comprehensive gene expression patterns between these two cells lines and relating these cells to prostate cancer progression based on their gene expression. METHODS. Comprehensive gene expression analysis was performed in LNCaP and PC-3 cells. Total RNA was isolated from cultured cells and hybridized to Illumina human Ref-8 version 3 BeadChips representing 24,526 transcripts. Bioinformatics approach was applied to identify genes, their functional roles and interaction networks that are unique in either LNCaP or PC-3 cells. RESULTS. We observed large differences in gene expression between LNCaP and PC-3 cells.Using robust statistical analysis and very high significance criteria to identify tractable number of genes 115 and 188 genes were identified uniquely expressed in LNCaP and PC-3 cells, respectively. Genes uniquely expressed in LNCaP cells contained UDP-glucosyltransferases as a signature for this cell line. This cell line demonstrated upregulation of various metabolic pathways on gene expression level. Talα/β, GATA-1 and c-Myc/Max were identified by in silico analysis as possible transcription factors regulating unique LNCaP genes. PC-3 cells were characterized by cytosceleton-related genes, keratins in particular. Several other well known genes (VEGFC, IL8, TGFβ2 and others) scattered throughout literature were identified and summarized in the discussion. CONCLUSIONS. This study demonstrated that LNCaP and PC-3 cells represent two distinct prostate cancer cell lineages. LNCaP cells retain many prostate cell specific properties, whereas PC-3 cells have acquired more aggressive bone-like characteristics following bone metastasis and show little resemblance to prostate cells. Microarray studies confirmed previously published results and provided more information between these two prostate cancer cell lines. Future studies need to consider their similarities and differences in gene expression between localized and metastasized prostate cancer.
Project description:Prostate cancer is the most common cancer in men and AR downstream signalings promote prostate cancer cell proliferation. To investigate the AR signaling, we performed RNA sequence analysis in AR positive prostate cancer cell line, LNCaP. RNA sequence analysis of androgen-regulated transcripts in prostate cancer cells
