Project description:TMEFF2 is an androgen regulated transmembrane protein mainly restricted to brain and prostate, that functions as a tumor suppressor in prostate cancer (PCa). Studies using publically available prostate cancer (PCa) datasets, reveal changes in the expression of TMEFF2 with disease stage, supporting an important role of TMEFF2 in this disease. However, the role of TMEFF2 in the biology and pathogenesis of PCa is still unknown. Using a transgenic TMEFF2 mouse, we have demonstrated that TMEFF2 overexpression modulates prostate branching morphogenesis, and androgen regulated process, during prostate regeneration. We hypothesized that TMEFF2 may have a regulatory function within androgen signaling that could explain its role in PCa. To better understand its function in androgen signaling and PCa, we compared the transcriptome of LNCaP prostate cancer cells transduced with control shRNA and shRNA targeting TMEFF2 in the presence and absence of dihydrotestosterone (DHT). The results indicated that globally, there is a significant interaction between the effects of DHT and shTMEFF2. Of the 519 genes with significant gene expression changes after DHT treatment of Scramble control cells, 208 (40%) had significant differential expression when the shTMEFF2 +DHT group was compared to Scramble +DHT group, including numerous androgen activated and androgen repressed genes.
Project description:Transcriptional profiling of LNCaP prostate cancer cells comparing control siRNA-treated LNCaP cells with LNCaP cells treated with siRNAs targeting Prostate Cancer Associated Transcript-1 (PCAT1), an uncharacterized long non-coding RNA. High-throughput sequencing of polyA+ RNA (RNA-Seq) in human cancer shows remarkable potential to identify both novel disease-specific markers for clinical uses and uncharacterized aspects of tumor biology, particularly non-coding RNA (ncRNA) species. To illustrate this approach, we employed RNA-Seq on a cohort of 102 prostate tissues and cells lines and found that aberrant expression profiles of novel tissue-specific ncRNAs distinguished benign, cancerous, and metastatic tumors. Among these, a novel prostate-cancer specific ncRNA (termed PCAT-1) defined a subset of aggressive cancers with low expression of the epigenetic regulator EZH2, a component of the Polycomb Repressive Complex 2 (PRC2) commonly upregulated in metastatic cancers. In vitro assays for core PRC2 genes indicated that the PRC2 complex directly binds and represses PCAT-1, and that the PCAT-1 transcript reciprocally binds PRC2, suggesting a regulatory feedback mechanism. Importantly, knockdown of PCAT-1 in cells with high levels of endogenous PCAT-1 transcript showed changes in cell proliferation and transcriptional regulation of several key biological processes, including cell cycle. Finally, we showed that ncRNA expression signatures, including PCAT-1, were effective for the non-invasive detection of prostate cancer, and that high ncRNA expression signature values correlate with high-grade histology. The findings presented herein establish the utility of RNA-Seq to comprehensively identify unannotated ncRNAs that define human disease states and characterize PCAT-1 as a novel regulator of cell proliferation mechanistically linked to PRC2 and contributory to translational clinical tests for prostate cancer. Two-condition experiment: Control-siRNA-treated versus PCAT1-siRNA-treated LNCaP cells. Biological replicates: 3 control replicates, 3 treatment replicates.
Project description:Here we report the genome-wide set of factors bound by NKX3.1 or control IgG in human prostate cancer cells (LNCaP). Examination of NKX3.1 binding in LNCaP prostate cancer cells
Project description:Transcriptional profiling of LNCaP prostate cancer cells comparing control siRNA-treated LNCaP cells with LNCaP cells treated with siRNAs targeting Prostate Cancer Associated Transcript-1 (PCAT1), an uncharacterized long non-coding RNA. High-throughput sequencing of polyA+ RNA (RNA-Seq) in human cancer shows remarkable potential to identify both novel disease-specific markers for clinical uses and uncharacterized aspects of tumor biology, particularly non-coding RNA (ncRNA) species. To illustrate this approach, we employed RNA-Seq on a cohort of 102 prostate tissues and cells lines and found that aberrant expression profiles of novel tissue-specific ncRNAs distinguished benign, cancerous, and metastatic tumors. Among these, a novel prostate-cancer specific ncRNA (termed PCAT-1) defined a subset of aggressive cancers with low expression of the epigenetic regulator EZH2, a component of the Polycomb Repressive Complex 2 (PRC2) commonly upregulated in metastatic cancers. In vitro assays for core PRC2 genes indicated that the PRC2 complex directly binds and represses PCAT-1, and that the PCAT-1 transcript reciprocally binds PRC2, suggesting a regulatory feedback mechanism. Importantly, knockdown of PCAT-1 in cells with high levels of endogenous PCAT-1 transcript showed changes in cell proliferation and transcriptional regulation of several key biological processes, including cell cycle. Finally, we showed that ncRNA expression signatures, including PCAT-1, were effective for the non-invasive detection of prostate cancer, and that high ncRNA expression signature values correlate with high-grade histology. The findings presented herein establish the utility of RNA-Seq to comprehensively identify unannotated ncRNAs that define human disease states and characterize PCAT-1 as a novel regulator of cell proliferation mechanistically linked to PRC2 and contributory to translational clinical tests for prostate cancer.
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:We report that the adaptor protein, paxillin, regulates some androgen responsive genes in the castration sensitive prostate cancer cell line, LNCaP.