Project description:Prostate adenocarcinoma and matched adjacent normal samples were profiled by deep transcriptional sequencing to analyze transcription-induced chimeras and gene fusions. Reference samples from the MAQC and brain and universal reference libraries were also sequenced.
Project description:Prostate adenocarcinoma and matched adjacent normal samples were profiled by deep transcriptional sequencing to analyze transcription-induced chimeras and gene fusions. Reference samples from the MAQC and brain and universal reference libraries were also sequenced. Two-condition experiment plus reference samples: Prostate adenocarcinoma versus matched normal from three separate patients, plus brain and universal reference samples from the MAQC project.
Project description:This SuperSeries is composed of the following subset Series: GSE24282: CGH microarray analysis of human prostate adenocarcinoma and normal samples GSE24283: Deep transcriptional sequencing analysis of human prostate adenocarcinoma and reference samples Refer to individual Series
Project description:Prostate adenocarcinoma and matched adjacent normal samples were profiled for copy number with the Agilent 244A CGH Array to support a study of deep transcriptional sequencing on these samples.
Project description:Prostate adenocarcinoma and matched adjacent normal samples were profiled for copy number with the Agilent 244A CGH Array to support a study of deep transcriptional sequencing on these samples. Two-condition experiment: Prostate adenocarcinoma versus matched normal from three separate patients.
Project description:This is a mathematical describing the interaction between the prostate adenocarcinoma tumor environment, the prostate specific antigen (PSA) produced by hormone-dependent and hormone-independent tumor cells, respectively, and the level of androgens.
Project description:Prostate glands predominantly exhibit androgen dependence, but increasing evidence suggests that estrogen receptor signaling is involved in its development and pathogenesis. By integrating ChIP sequencing for estrogen receptor alpha (ERα) with transcriptome sequencing data from prostate cancer samples, we found ERα to significantly influence the noncoding transcriptome in prostate cancer. We identified one such long noncoding RNA, NEAT1, to play an important role in prostate cancer progression through direct regulation of transcription of its target genes. NEAT1, in an ERα dependent manner, promotes prostate tumorigenesis by interacting with and modulating chromatin state at promoters of prostate cancer specific signature genes. NEAT1 expression is positively correlated with PSMA in prostate adenocarcinoma and with B3GAT1 in neuroendocrine prostate cancer. This study identifies NEAT1 as a novel biomarker or therapeutic target in prostate cancer and also suggests that co-targeting ERα and androgen receptor (AR) may be effective for a subset of patients with advanced prostate cancer and with NEAT1 overexpression. mRNA profiles of MEF cell lines prepared from E13.5 embryos of wild-type (WT) and NEAT1 knockout (KO; NEAT1−/−) mice were generated by deep sequencing, using Illumina HiSeq 2000. Strand specific mRNA profiles of VCaP and VCaP ERa cell lines were generated by deep sequencing, using Illumina GA IIx.