GEO DataSets

(Submitter supplied) The incidence of basal cell hyperplasia (BCH) has been reported at 8-10%, but a molecular and cellular characterization has not been performed on this phenotype. Using freshly digested tissue from surgical specimens, we performed transcriptomic analysis of flow cytometry-purified basal epithelia from patients with and without a majority BCH phenotype. Gene set enrichment analysis revealed an increased expression of members of the epidermal differentiation complex, resembling the progression of other metaplastic diseases.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18460

7 Samples

Download data: TXT

(Submitter supplied) ST profiles reveals the alterations in epithelial cells in Benign Prostatic Hyperplasia.

Organism:

Homo sapiens

Type:

Other

Platform:

GPL20795

1 Sample

Download data: CSV, JPG, JSON, PNG

(Submitter supplied) Prostatic basal cells have been implicated in differentiation and proliferation during prostate development and regeneration; however, the contribution of zonal variation and the critical role of basal cells in prostatic disease etiology is not well understood. Using single-cell RNA sequencing of primary prostate epithelial cultures, we elucidated organ-specific, zone-specific, and cluster-specific gene expression differences in basal cells isolated from human prostate and seminal vesicle (SV).

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24676

8 Samples

Download data: CSV, MTX, TSV

(Submitter supplied) scRNAseq of prostate cells from 6 and 8 month old Pb-PRL whole prostate mice with enlarged prostate after 28 days of treatment with antioxidant molecule; Anethole tritione (ATT) or coconut oil (vehicle).

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24247

4 Samples

Download data: H5

(Submitter supplied) The histopathological and molecular heterogeneity of prostate cancer and the limited availability of human tumor tissue make unraveling the mechanisms of prostate carcinogenesis a challenging task. Our goal was to develop an ex vivo model that could be reliably utilized to define a prognostic signature based on gene expression profiling of cell cultures that maintained the tumor phenotype. To this end, we derived epithelial cultures from tissue explanted from 59 patients undergoing radical prostatectomy or cistoprostatectomy because of Prostate Benign Hyperplasia/Prostate Cancer or Bladder Carcinoma. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS1746

Platform:

GPL96

30 Samples

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Analysis of epithelial cell cultures from prostate tumor explants. Results identify an epithelial-restricted transcription profile that can be integrated with tumor grade and clinical information with the aim of discriminating indolent and aggressive prostate tumors that are histologically similar.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 7 disease state, 2 protocol sets

Platform:

GPL96

Series:

GSE3868

30 Samples

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(Submitter supplied) To obtain a comprehensive view of the transcriptional programs in prostatic stromal cells of different histological/pathological origin, we profiled 18 adult human stromal cell cultures from normal transition zone (TZ), normal peripheral zone (PZ), benign prostatic hyperplasia (BPH), and prostate cancer (CA) using cDNA microarrays. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL4541

19 Samples

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(Submitter supplied) Due to heterogeneous multifocal nature of prostate cancer (PCa), there is currently a lack of biomarkers that stably distinguish it from benign prostatic hyperplasia (BPH), predict clinical outcome and guide the choice of optimal treatment. In this study, RNA-seq analysis was applied to formalin-fixed paraffin-embedded (FFPE) tumor and matched normal tissue samples collected from Russian patients with PCa and BPH. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17303

32 Samples

Download data: TXT

(Submitter supplied) We identified a BPH transcriptional signature that included 392 significantly differential expressed genes between BPH and control samples, and validated this BPH transcriptional signature using two independent study cohorts. By performing integrative analysis using transcriptional and methylation profiling, we identified two distinct BPH subtypes, supporting robust biologically distinct subgroups across different data types. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL16791

22 Samples

Download data: TXT, XLSX

(Submitter supplied) BPH samples harbored minimal copy number alterations, and the fraction of altered genome was far lower than primary prostate cancer and other neoplastic diseases.

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array

Platform:

GPL6801

36 Samples

Download data: CEL, TXT

(Submitter supplied) We investigated the epigenetic landscape of benign prostatic hyperplasia (BPH) by defining the DNA methylation profile of 18 BPH samples and 5 controls from normal transitional zone. We identified 92,046 hypermethylated CpG and 10,117 hypomethylated CpG across different genomic regions in BPH, and hypermethylation was the dominant signal across all genomic regions, even when controlling for bias of CpG-rich loci. more...

Organism:

Homo sapiens

Type:

Methylation profiling by high throughput sequencing

Platform:

GPL16791

23 Samples

Download data: TXT

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

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18573

32 Samples

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(Submitter supplied) Single-cell RNA-sequencing was conducted on specific cell types and heterogeneous viable cells (sorted by FACS) in order to determine a cellular atlas of the normal human prostate.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18573

16 Samples

Download data: MTX, TSV

(Submitter supplied) Differential expression of prostatic cell types were determined using RNA-sequencing of FACS sorted cell types from normal human prostates. The cell types sequenced were basal epithelia, luminal epithelia, a heterogeneous fibromuscular stroma and a poorly understood "other" epithelial population.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18573

16 Samples

Download data: TXT

(Submitter supplied) We set out to determine if distinct prostate luminal epithelial cell-types exhibited age-related differences in their gene expression profiles. We used fluorescence activated cell sorting to isolate Trop2+ and Trop2- luminal cells and EpCAM- CD49f- stromal cells from dissociated preparations of prostate tissue taken from young adult (3 months) and old (24 months of age) mice. RNA was extracted from sorted cells to evaluate differences in gene expression.

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL21493

14 Samples

Download data: TXT, XLSX

(Submitter supplied) We set out to determine if prostate epithelial cell-types exhibited age-related differences in their gene expression profiles. We used fluorescence activated cell sorting to isolate basal and luminal cells from dissociated preparations of prostate tissue taken from young adult (3 months) and old (24 months of age) mice. RNA was extracted from sorted cells to evaluate differences in gene expression. We found significant enrichment for progenitor genes in old luminal cells including an immune/inflammatory profile that overlapped with a previously identified CD38-lo human prostate luminal progenitor signature. This study demonstrates a luminal progenitor signature in old mouse prostate.

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL21493

12 Samples

Download data: TXT, XLSX

(Submitter supplied) Evaluating the complex interplay of cell types in the tissue microenvironment is critical to understanding the origin and progression of diseases in the prostate and potential opportunities for intervention. Mouse models are an essential tool to investigate the molecular and cell-type-specific contributions of prostate disease at an organismal level. While there are well-documented differences in the extent, timing, and nature of disease development in various genetically engineered and exposure-based mouse models in different mouse strains and prostate lobes within each mouse strain, the underlying molecular phenotypic differences in cell types across mouse strains and prostate lobes are incompletely understood.

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL21273

20 Samples

Download data: MTX, TSV

(Submitter supplied) We report alterations in the esophageal transcriptome of adult eosinophilic esophagitis (EoE) patients at a single-cell transcriptomic level.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL24676 GPL20301

31 Samples

Download data: MTX, TSV

(Submitter supplied) We used scRNA-seq to study prostate cellular heterogeneity in mice impanted with testosterone and estradiol pellets.

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL30172

4 Samples

Download data: TSV