Bulk RNA-sequencing of fibroblasts isolated by FACS from normal human prostate
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE172347 | GEO | 2021/07/07
REPOSITORIES: GEO
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Project description:Bulk RNA-sequencing of fibroblasts isolated by FACS from normal human prostate
| PRJNA723005 | ENA
Project description: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.
2018-12-04 | GSE117271 | GEO
Project description:The stromal microenvironment plays key roles in prostate development and cancer. Cancer associated fibroblasts (CAFs) and other stromal cells stimulate tumourigenesis via several mechanisms including the expression of pro-tumourigenic factors. Mesenchyme (embryonic stroma) controls prostate organogenesis, and in some circumstances can re-differentiate prostate tumours. Epithelia are regulated by powerful paracrine signalling from the stroma in both development and disease, and identification of these stromal signals is important. We have applied next-generation Tag profiling to fetal human prostate, normal human prostate fibroblasts (NPFs) and CAFs to identify molecules expressed in prostatic stroma
2011-10-22 | GSE25018 | GEO
Project description:The stromal microenvironment plays key roles in prostate development and cancer. Cancer associated fibroblasts (CAFs) and other stromal cells stimulate tumourigenesis via several mechanisms including the expression of pro-tumourigenic factors. Mesenchyme (embryonic stroma) controls prostate organogenesis, and in some circumstances can re-differentiate prostate tumours. Epithelia are regulated by powerful paracrine signalling from the stroma in both development and disease, and identification of these stromal signals is important. We have applied next-generation Tag profiling to fetal human prostate, normal human prostate fibroblasts (NPFs) and CAFs to identify molecules expressed in prostatic stroma Each sample was used for Tag library construction, by Solexa Inc
2011-10-22 | E-GEOD-25018 | biostudies-arrayexpress
Project description:The cyclin D1 oncogene encodes the regulatory subunit of a holoenzyme that phosphorylates and inactivates the Rb protein and promotes progression through G1 to S phase of the cell cycle. Several prostate cancer cell lines and a subset of primary prostate cancer samples have increased cyclin D1 protein expression. However, the relationship between cyclin D1 expression and prostate tumor progression has yet to be clearly characterized. This study examined the effects of manipulating cyclin D1 expression in either human prostatic epithelial or stromal cells using a tissue recombination model. The data showed that overexpression of cyclin D1 in the initiated BPH-1 cell line increased cell proliferation rate, but did not elicit tumorigenicity in vivo. However, overexpression of cyclin D1 in Normal Prostate Fibroblasts (NPF) that were subsequently recombined with BPH-1 did induce malignant transformation of the epithelial cells. The present study also showed that recombination of BPH-1 + cyclin D1 overexpressing fibroblasts (NPF cyclin D1) resulted in permanent malignant transformation of epithelial cells (BPH-1 NPF-cyclin D1 cells) similar to that seen with Carcinoma Associated Fibroblasts (CAFs). Microarray analysis showed that the expression profiles between CAFs and NPF cyclin D1 cells were highly concordant including cyclin D1 upregulation. These data indicated that the tumor-promoting activity of cyclin D1 may be tissue-specific. Keywords: cyclin D1; stromal-epithelial interactions; prostate cancer; cDNA microarray
2007-09-01 | GSE6936 | GEO
Project description: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.
2018-12-04 | GSE117403 | GEO
Project description:The cyclin D1 oncogene encodes the regulatory subunit of a holoenzyme that phosphorylates and inactivates the Rb protein and promotes progression through G1 to S phase of the cell cycle. Several prostate cancer cell lines and a subset of primary prostate cancer samples have increased cyclin D1 protein expression. However, the relationship between cyclin D1 expression and prostate tumor progression has yet to be clearly characterized. This study examined the effects of manipulating cyclin D1 expression in either human prostatic epithelial or stromal cells using a tissue recombination model. The data showed that overexpression of cyclin D1 in the initiated BPH-1 cell line increased cell proliferation rate, but did not elicit tumorigenicity in vivo. However, overexpression of cyclin D1 in Normal Prostate Fibroblasts (NPF) that were subsequently recombined with BPH-1 did induce malignant transformation of the epithelial cells. The present study also showed that recombination of BPH-1 + cyclin D1 overexpressing fibroblasts (NPF cyclin D1) resulted in permanent malignant transformation of epithelial cells (BPH-1 NPF-cyclin D1 cells) similar to that seen with Carcinoma Associated Fibroblasts (CAFs). Microarray analysis showed that the expression profiles between CAFs and NPF cyclin D1 cells were highly concordant including cyclin D1 upregulation. These data indicated that the tumor-promoting activity of cyclin D1 may be tissue-specific. Keywords: cyclin D1; stromal-epithelial interactions; prostate cancer; cDNA microarray NPF cyclin D1 cells were generated from NPFs, which were isolated from two different patient samples; CAFs were isolated from two different patient samples as well. RNA was isolated from NPFs, CAFs, and NPF cyclin D1 cells using total RNA isolation kit (Qiagen). Custom spotted cDNA microarrays were constructed as previously described (True, L., Coleman, I., Hawley, S., Huang, C. Y., Gifford, D., Coleman, R., Beer, T. M., Gelmann, E., Datta, M., Mostaghel, E., Knudsen, B., Lange, P., Vessella, R., Lin, D., Hood, L., and Nelson, P. S. A molecular correlate to the Gleason grading system for prostate adenocarcinoma. Proc Natl Acad Sci U S A, 103: 10991-10996, 2006) using a non-redundant set of 6,700 prostate-derived cDNA clones identified from the Prostate Expression Data Base (PEDB), a public sequence repository of expressed sequence tag data derived from human prostate cDNA libraries. Total RNA was amplified through one round of linear amplification using the MessageAmp aRNA kit (Ambion, Austin, TX). Sample quality and quantification was assessed by agarose gel electrophoresis and absorbance at A260. Cy3 and Cy5 labeled cDNA probes were made from 4 M-BM-5g of amplified RNA. Two NPF cyclin D1 and two CAF samples (labeled with Cy3) were hybridized head-to-head with an NPF control sample labeled with Cy5. Probes were hybridized competitively to microarrays under a coverslip for 16 h at 63M-BM-0C. Fluorescent array images were collected for both Cy3 and Cy5 by using a GenePix 4000B fluorescent scanner, and image intensity data were gridded and extracted using GenePix Pro 4.1 software. Differences in gene expression between NPF cyclin D1/NPF and CAF/NPF groups were determined using a two-sample t-test with Significance Analysis of Microarrays (SAM) software (http://www-stat.stanford.edu/_tibs/SAM/) with a False Discovery Rate (FDR) of M-bM-^IM-$ 10% considered significant (Tusher, PNAS, 2001). Similarities in gene expression between NPF cyclin D1/NPF and CAF/NPF groups were determined using a one-sample t-test in SAM with an FDR of M-bM-^IM-$ 0.1% considered significant. These results were reduced to unique genes by eliminating all but the highest scoring clones for each gene. A Pearson correlation coefficient was calculated in Excel to assess the strength of the linear relationship between NPF cyclin D1/NPF and CAF/NPF average log2 ratios.
2007-08-31 | E-GEOD-6936 | biostudies-arrayexpress
Project description:Prostate adenocarcinomas contain a predominance of cells with luminal features that display aberrant DNA methylation patterns with useful diagnostic and prognostic potential. However, the DNA methylation features of basal and luminal cells in both normal and cancer tissues remain largely unknown. We have generated genome-wide DNA methylation profiles for FACS purified basal and luminal prostate tumour cells, obtained from radical prostatectomy samples and their paired normal counterparts isolated from unaffected regions in the same patient’s gland.
2018-10-22 | GSE107596 | GEO
Project description:Background The characteristics of a tumor are largely determined by its interaction with the surrounding micro-environment (TME). TME consists of both cellular and non-cellular components. Cancer-associated fibroblasts (CAFs) are a major component of the TME. They are a source of many secreted factors that influence the survival and progression of tumors as well as their response to drugs. Identification of markers either overexpressed in CAFs or unique to CAFs would pave the way for novel therapeutic strategies that in combination with conventional chemotherapy are likely to have better patient outcome. Methods Fibroblasts have been derived from Benign Prostatic Hyperplasia (BPH) and prostate cancer. RNA from these has been used to perform a transcriptome analysis in order to get a comparative profile of normal and cancer-associated fibroblasts. Results The study has identified 818 differentially expressed mRNAs and 17 lincRNAs between normal and cancer-associated fibroblasts. Also, 15 potential lincRNA-miRNA-mRNA combinations have been identified which may be potential biomarkers. Conclusions Identified differentially expressed markers between normal and cancer-associated fibroblasts would help in CAFs/derived factors targeted therapy in combination with conventional therapy. However, this would in future need more experimental validation.
2024-09-26 | GSE270705 | GEO
Project description:The goal of this study was to compare the nuclosome occupancy and DNA methylation patterns in prostate cancer cells compared to normal prostatic cells
2017-02-01 | GSE94361 | GEO