Project description:LNCaP prostate cancer cells were stimulated with the synthetic androgen R1881. RNA-sequencing was performed to identify changes induced by enzalutamide treatment on the transcriptome level.
Project description:Prostate cancer is the most common cancer in men and cardiac glycosides inhibit prostate cancer cell proliferation. In order to investigate the mechanism by which cardiac glycosides inhibit prostate cancer cells, we observed genome-wide RNA expression in prostate cancer LNCaP-abl cells, hormone resistant cells, after the cardiac glycoside treatment using RNA-Seq. In addition, we profiled LNCaP-abl cells after androgen receptor (AR) knockdown to observe whether cardiac glycoside effect on RNA expression is similar to that of AR knockdown.
Project description:Prostate cancer is the most common cancer in men and cardiac glycosides inhibit prostate cancer cell proliferation. In order to investigate the mechanism by which cardiac glycosides inhibit prostate cancer cells, we observed genome-wide RNA expression in prostate cancer LNCaP-abl cells, hormone resistant cells, after the cardiac glycoside treatment using RNA-Seq. In addition, we profiled LNCaP-abl cells after androgen receptor (AR) knockdown to observe whether cardiac glycoside effect on RNA expression is similar to that of AR knockdown. Observation of three cardioglycosides, Digoxin, Peruvoside and Strophanthidin, and AR knockdown regulated RNA expression in LNCaP-abl with RNA-Seq (each triplicates)
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:Analysis of RNA expression in LNCaP prostate cancer cells treated with different siRNAs to define the regulatory effect of HNRNPL and LARP on RNA expression.
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:Analysis of circular RNA expression in LNCaP prostate cancer cells treated with different siRNAs to define the regulatory effect of HNRNPL and LARP on circular RNA expression.
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.