Single-cell RNA sequencing of human prostate basal epithelial cells reveals zone-specific cellular populations and gene expression signatures
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE241556 | GEO | 2023/10/03
REPOSITORIES: GEO
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Project description:BACKGROUND: Prostate cancer is the most frequently diagnosed cancer among men in the United States. In contrast, cancer of the seminal vesicle is exceedingly rare, despite that the prostate and seminal vesicle share similar histology, secretory function, androgen dependency, blood supply, and (in part) embryonic origin. We hypothesized that gene-expression differences between prostate and seminal vesicle might inform mechanisms underlying the higher incidence of prostate cancer. METHODS: Whole-genome DNA microarrays were used to profile gene expression of 11 normal prostate and 7 seminal vesicle specimens (including 6 matched pairs) obtained from radical prostatectomy. Supervised analysis was used to identify genes differentially expressed between normal prostate and seminal vesicle, and this list was then cross-referenced to genes differentially expressed between normal and cancerous prostate. Expression patterns of selected genes were confirmed by immunohistochemistry using a tissue microarray. We identified 32 genes that displayed a highly statistically-significant expression pattern with highest levels in seminal vesicle, lower levels in normal prostate, and lowest levels in prostate cancer. Among these genes was the known candidate prostate tumor suppressor GSTP1 (involved in xenobiotic detoxification). The expression pattern of GSTP1 and four other genes, ABCG2 (xenobiotic transport), CRABP2 (retinoic acid signaling), GATA3 (lineage-specific transcription) and SLPI (immune response), was confirmed by immunohistochemistry. CONCLUSIONS: Our findings identify candidate prostate cancer genes whose reduced expression in prostate (compared to seminal vesicle) may be permissive to prostate cancer initiation. Such genes and their pathways may inform mechanisms of prostate carcinogenesis, and suggest new opportunities for prostate cancer prevention. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Disease State: normal prostate vs normal seminal vesicle sample Individual Keywords: Logical Set cDNA microarrays from the Stanford Functional Genomics Facility were used for expression profiling of 11 normal prostate and 7 seminal vesicle specimens (6 of which were matched pairs), against a universal RNA reference. Extracted expression ratios were normalized by array then mean centered by gene, and expression differences between normal prostate and seminal vesicle identified using Significance Analysis of Microarrays (SAM).
2008-05-08 | E-GEOD-11376 | biostudies-arrayexpress
Project description:BACKGROUND: Prostate cancer is the most frequently diagnosed cancer among men in the United States. In contrast, cancer of the seminal vesicle is exceedingly rare, despite that the prostate and seminal vesicle share similar histology, secretory function, androgen dependency, blood supply, and (in part) embryonic origin. We hypothesized that gene-expression differences between prostate and seminal vesicle might inform mechanisms underlying the higher incidence of prostate cancer. METHODS: Whole-genome DNA microarrays were used to profile gene expression of 11 normal prostate and 7 seminal vesicle specimens (including 6 matched pairs) obtained from radical prostatectomy. Supervised analysis was used to identify genes differentially expressed between normal prostate and seminal vesicle, and this list was then cross-referenced to genes differentially expressed between normal and cancerous prostate. Expression patterns of selected genes were confirmed by immunohistochemistry using a tissue microarray. We identified 32 genes that displayed a highly statistically-significant expression pattern with highest levels in seminal vesicle, lower levels in normal prostate, and lowest levels in prostate cancer. Among these genes was the known candidate prostate tumor suppressor GSTP1 (involved in xenobiotic detoxification). The expression pattern of GSTP1 and four other genes, ABCG2 (xenobiotic transport), CRABP2 (retinoic acid signaling), GATA3 (lineage-specific transcription) and SLPI (immune response), was confirmed by immunohistochemistry. CONCLUSIONS: Our findings identify candidate prostate cancer genes whose reduced expression in prostate (compared to seminal vesicle) may be permissive to prostate cancer initiation. Such genes and their pathways may inform mechanisms of prostate carcinogenesis, and suggest new opportunities for prostate cancer prevention. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Disease State: normal prostate vs normal seminal vesicle sample Individual Keywords: Logical Set
2008-05-08 | GSE11376 | GEO
Project description:We have noticed that the proliferative potential of epithelial cells in the mouse proximal prostatic ducts is less than those at the distal prostatic ducts. To determine whether specific signaling is differentially activated in distal and proximal prostate basal cells, we isolated respective basal cells in the two regions and performed an RNA-seq analysis.
2019-06-21 | GSE115631 | GEO
Project description:The prostate gland mainly contains basal and luminal cells constructed as a pseudostratified epithelium. Annotation of prostate epithelial transcriptomes provides a foundation for discoveries that can impact disease understanding and treatment. Here, we describe a whole-genome transcriptome analysis of human benign prostatic basal and luminal populations by using deep RNA sequencing. Combined with comprehensive molecular and biological characterizations, we show that the differential gene expression profiles account for their distinct functional phenotypes. Strikingly, in contrast to luminal cells, basal cells preferentially express gene categories associated with stem cells, neural and neuronal development and RNA processing. Consistent with their expression profiles, basal cells functionally exhibit intrinsic stem-like and proneural properties with enhanced ribosome RNA (rRNA) transcription activity. Of clinical relevance, the treatment failed castration-resistant and anaplastic prostate cancers molecularly resemble a basal-like phenotype. Therefore, we link the cell-type specific gene signatures to subtypes of prostate cancer development, and identify genes associated with patient clinical outcome. Human total RNA profiles of 3 pairs of benign prostatic basal and luminal populations freshly purified from prostate tissues of three prostate cancer patients by deep RNA-seq.
2015-04-30 | E-GEOD-67070 | biostudies-arrayexpress
Project description:The understanding of common prostatic disorders has been restricted by both cellular heterogeneity and the scarcity of established cell lines, although organoid technology, based on primary cultures, promises much for the future. In particular, little is known about the aetiology of benign prostatic hyperplasia (BPH), for which culture of single cell types might not accurately not reflect the stromal and epithelial overgrowths observed in tissues. To address the applicability of primary cell culture models of prostate disease, we compared cell type-specific mRNA expression patterns in BPH tissues and primary basal cells cultured from the same transurethral biopsies.
2017-05-09 | E-MTAB-5647 | biostudies-arrayexpress
Project description:To investigate the identity of the tissue origin for metastases, we compared gene expression profiles of the prostate tissues and seminal vesicles from PB-Pten-NICD mice and those of 7 lung metastases from different mice. Three respective cell lines established from primary seminal vesicle tumors, primary prostate tumors, and lung metastases in PB-Pten-NICD mice were also included in the microarray analysis. We hypothesized that the gene expression profiles of primary and metastatic tumors should resemble those of their tissue origins. We identified genes differentially expressed between the seminal vesicle and prostate tumors. The expression profiles of the two cell lines established from primary tumors resembled those of their respective tissue origins, which supports our hypothesis. The expression profile of the metastatic cell line resembled those of the prostate tumor tissues, indicating the prostate as its tissue of origin. The expression profiles of 2 metastatic specimens each resembled those of the seminal vesicle tumors and the prostate tumors, respectively, while the expression profiles of the remaining 3 samples displayed a mixed pattern. This study suggests that metastatic tumors in this model may have originated from either the prostate, or the seminal vesicles, or both.
2016-09-09 | GSE72549 | GEO
Project description:Aggressive cancers and normal stem cells often share similar molecular and functional traits. It is unclear if aggressive phenotypes of prostate cancer molecularly resemble normal stem cells residing within the human prostate. We performed high-throughput RNA sequencing on uncultured, highly purified epithelial populations from human prostates obtained after radical prostatectomy. We found the basal population to be defined by genes associated with developmental programs, epigenetic remodeling, and invasiveness. We further generated a 91-gene basal signature and applied it to gene expression datasets from patients with organ-confined or castration-resistant, metastatic prostate cancer. Metastatic prostate cancer was more enriched for the basal stem cell signature than organ-confined prostate cancer. Moreover, histological subtypes within prostate cancer metastases varied in their enrichment of the stem cell signature with small cell neuroendocrine carcinoma being the most stem cell-like. Bioinformatic analysis of the basal cell and two human small cell gene signatures identified a set of E2F target genes common to all three signatures. These results suggest that the most aggressive variants of prostate cancer share a core transcriptional program with normal prostate basal stem cells. Transcriptional analysis of 10 uncultured prostatic basal and luminal populations from either the benign or malignant prostate tissue of 8 human prostate cancer patients by high-throughput RNA-seq
2016-06-01 | E-GEOD-82071 | biostudies-arrayexpress
Project description:To investigate the role of NKX3.1 in prostate differentiation, we employed transcriptome analysis of mouse seminal vesicle (from 15-month-old Nkx3.1+/+ mice); mouse prostate (from 4-month-old Nkx3.1+/+ and Nkx3.1-/- mice); human prostate cells (RWPE1 cells engineered with empty vector (altered pTRIPZ), NKX3.1 wild type over-expression, and NKX3.1 (T164A) mutant over-expression); and tissue recombinants (generated from combining engineered mouse epithelial cells (seminal vesicle epithelial cells or prostate epithelial cells from 2-month-old mice) and rat UGS mesenchymal cells). Mouse tissue or human cells were snap frozen for subsequent molecular analysis. This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
2016-06-24 | E-GEOD-81440 | biostudies-arrayexpress
Project description:The prostate gland mainly contains basal and luminal cells constructed as a pseudostratified epithelium. Annotation of prostate epithelial transcriptomes provides a foundation for discoveries that can impact disease understanding and treatment. Here, we describe a whole-genome transcriptome analysis of human benign prostatic basal and luminal populations by using deep RNA sequencing. Combined with comprehensive molecular and biological characterizations, we show that the differential gene expression profiles account for their distinct functional phenotypes. Strikingly, in contrast to luminal cells, basal cells preferentially express gene categories associated with stem cells, neural and neuronal development and RNA processing. Consistent with their expression profiles, basal cells functionally exhibit intrinsic stem-like and proneural properties with enhanced ribosome RNA (rRNA) transcription activity. Of clinical relevance, the treatment failed castration-resistant and anaplastic prostate cancers molecularly resemble a basal-like phenotype. Therefore, we link the cell-type specific gene signatures to subtypes of prostate cancer development, and identify genes associated with patient clinical outcome.
2015-04-30 | GSE67070 | GEO
Project description:To investigate the role of NKX3.1 in prostate differentiation, we employed transcriptome analysis of mouse seminal vesicle (from 15-month-old Nkx3.1+/+ mice); mouse prostate (from 4-month-old Nkx3.1+/+ and Nkx3.1-/- mice); human prostate cells (RWPE1 cells engineered with empty vector (altered pTRIPZ), NKX3.1 wild type over-expression, and NKX3.1 (T164A) mutant over-expression); and tissue recombinants (generated from combining engineered mouse epithelial cells (seminal vesicle epithelial cells or prostate epithelial cells from 2-month-old mice) and rat UGS mesenchymal cells). Mouse tissue or human cells were snap frozen for subsequent molecular analysis. This SuperSeries is composed of the SubSeries listed below.
2016-06-24 | GSE81440 | GEO