GEO DataSets

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens; Mus musculus

Type:

Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing

4 related Platforms

9 Samples

Download data: BED, CSV, RPKM

(Submitter supplied) 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. more...

Organism:

Mus musculus; Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL10999 GPL13112

4 Samples

Download data: CSV, RPKM

(Submitter supplied) 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. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platforms:

GPL11154 GPL9115

5 Samples

Download data: BED

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array; Expression profiling by high throughput sequencing

Platforms:

GPL4133 GPL11154

30 Samples

Download data: TXT

(Submitter supplied) The goal of this analysis is to profile AR-regulated genes, especially non-coding RNAs in three androgen sensitive prostate cancer cell lines, MDA-PCA-2B, LNCaP and VCaP. The two cell lines were serum-starved first, followed by dihydrotestosterone (DHT) stimulation or treated with Enzalutamide (AR inhibitor) without starvation. Transcriptome profiling was generated by RNA-sequencing from polyA-selected RNA. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11154

17 Samples

Download data: CSV, TXT

(Submitter supplied) (1) Transcription profiling of MDA-PCa-2b cells comparing ARlnc1 knockdown treated cells with control cells. Two methods were used to knockdown ARlnc1: siRNA or ASO. (2) Transcription profiling of MDA-PCa-2b cells comparing dihydrotestosterone (DHT) stimulated cells with vehicle treated cells. The goal is to determine AR-regulated gene expression signature in MDA-PCa-2b cells.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL4133

13 Samples

Download data: TXT

(Submitter supplied) The majority of the human genome is transcribed, yielding a rich repository of non-coding transcripts that are involved in a myriad of biological processes including cancer. However, how non-coding transcripts such as Long Non-coding RNAs (lncRNAs) function in prostate cancer is still unclear. In this study, we have identified a novel set of clinically relevant androgen-regulated lncRNAs in prostate cancer. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL10558

18 Samples

Download data: TXT

(Submitter supplied) The majority of the human genome is transcribed, yielding a rich repository of non-coding transcripts that are involved in a myriad of biological processes including cancer. However, how non-coding transcripts such as Long Non-coding RNAs (lncRNAs) function in prostate cancer is still unclear. In this study, we have identified a novel set of clinically relevant androgen-regulated lncRNAs in prostate cancer. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL11154

12 Samples

Download data: BW

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL21290

4 Samples

Download data: BW

(Submitter supplied) Breast cancer is one of the most prevalent cancers in women worldwide. Through the regulation of many coding and non-coding target genes, estrogen (E2 or 17b-estradiol) and its nuclear receptor ERα play important roles in breast cancer development and progression. Despite intensive studies on estrogen-regulated coding genes over the past decades, molecular mechanisms underlying estrogen-regulated non-coding RNAs in breast cancer remain to be elucidated. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL21290

2 Samples

Download data: BW

(Submitter supplied) Breast cancer is one of the most prevalent cancers in women worldwide. Through the regulation of many coding and non-coding target genes, estrogen (E2 or 17b-estradiol) and its nuclear receptor ERα play important roles in breast cancer development and progression. Despite intensive studies on estrogen-regulated coding genes over the past decades, molecular mechanisms underlying estrogen-regulated non-coding RNAs in breast cancer remain to be elucidated. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL21290

2 Samples

Download data: BW

(Submitter supplied) Silencing NEAT1 in prostate cancer cells repressed the transcriptional activity of CDC5L, and RNA-seq and further analyses revealed a handful of potential targets of CDC5L regulated by NEAT1 expression. We have established the requirement of the CDC5L-AGRN circuit for the essential oncogenic role of NEAT1 in prostate cancer cells. Here we provide processed raw counts files.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL20795

4 Samples

Download data: TXT

(Submitter supplied) Purpose: Patients with locally advanced prostate cancer after radical prostatectomy are candidates for secondary therapy. However, this higher risk population is heterogeneous. Many cases do not metastasize even when conservatively managed. Given the limited specificity of pathological features to predict metastasis, newer risk prediction models are needed. We report a validation study of a genomic classifier that predicts metastasis after radical prostatectomy in a high risk population. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5188

235 Samples

Download data: CEL

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Genome variation profiling by genome tiling array; Expression profiling by array

Platforms:

GPL10152 GPL14550

20 Samples

Download data: TXT

(Submitter supplied) Neuroendocrine prostate cancer (NEPC) is proliferative, invasive, and untreatable. Its molecular pathogenesis remains poorly understood but appears to require TP53 and RB1 aberration. In this study we modeled the development of NEPC from conventional prostatic adenocarcinoma using a unique patient-derived xenograft and identified up-regulation of the placental gene PEG10. We found that the androgen receptor and the E2F/RB pathway dynamically regulate distinct post-transcriptional and post-translational isoforms of PEG10 at different stages of NEPC development. more...

Organism:

Homo sapiens

Type:

Genome variation profiling by genome tiling array

Platform:

GPL10152

6 Samples

Download data: TXT

(Submitter supplied) Neuroendocrine prostate cancer (NEPC) is proliferative, invasive, and untreatable. Its molecular pathogenesis remains poorly understood but appears to require TP53 and RB1 aberration. In this study we modeled the development of NEPC from conventional prostatic adenocarcinoma using a unique patient-derived xenograft and identified up-regulation of the placental gene PEG10. We found that the androgen receptor and the E2F/RB pathway dynamically regulate distinct post-transcriptional and post-translational isoforms of PEG10 at different stages of NEPC development. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL14550

14 Samples

Download data: TXT

(Submitter supplied) Purpose: Clinicopathologic features and biochemical recurrence are sensitive, but not specific, predictors of metastatic disease and lethal prostate cancer. We hypothesize that a genomic expression signature detected in the primary tumor represents true biological potential of aggressive disease and provides improved prediction of early prostate cancer metastasis. Methods: A nested case-control design was used to select 639 patients from the Mayo Clinic tumor registry that underwent radical prostatectomy between 1987 and 2001. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5188

545 Samples

Download data: CEL, TXT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array; Non-coding RNA profiling by high throughput sequencing

Platforms:

GPL11154 GPL6244

26 Samples

Download data: CEL, CHP, TXT

(Submitter supplied) Prostate cancer is the most common cancer in men and AR downstream signalings promote prostate cancer cell proliferation. We identified a novel androgen-regulated long non-coding (lnc) RNA, SOCS2-AS1.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6244

12 Samples

Download data: CEL, CHP

(Submitter supplied) Prostate cancer is the most common cancer in men and androgen receptor (AR) downstream signalings promote prostate cancer cell proliferation. To investigate the AR signaling, we performed directional RNA sequence analysis in AR positive prostate cancer cell line, LNCaP and VCaP. Using Noncode and GENCODE data sets. We identified androgen-regulated long non-coding RNAs (lncRNAs) in prostate cancer cells.

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by high throughput sequencing

Platform:

GPL11154

14 Samples

Download data: TXT