Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Next Generation Sequencing of the transcriptomes of prostate cancer cells with or without ectopic expression of microRNA miR-30e

ABSTRACT: MicroRNAs (miRNAs) function as regulators of cancer progression as they modulate different cellular processes. The objective of this study is to demonstrate a multi-dimensional function of miR-30e through regulating genes involved in various signaling pathways including androgen receptor signaling. miR-30e targets androgen receptor mRNA and functions as a tumor suppressor. We noted loss of miR-30e expression in prostate tumors and restored expression of miR-30e led to cell cycle arrest, induction of apoptosis, improved drug sensitivity in prostate cancer cells, and reduced tumor progression in prostate cancer xenograft models. To understand the tumor suppressor function of miR-30e on a global scale, we performed total RNA-sequence analysis upon overexpression of miR-30e in a prostate cancer cell line 22Rv-1, which expresses a splice variant of androgen receptor and represents an androgen-independent and drug-resistant form of prostate cancer.qRT-PCR validation of RNA-sequencing data supports our in vitro study showeing differential expression of genes involved in cell cycle progression, apoptosis and ubiquitination upon expression of miR-30e in prostate cancer cells.

ORGANISM(S): Homo sapiens

PROVIDER: GSE188345 | GEO | 2022/08/31

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Androgen-sensitive glycomembrane protein expression in LNCaP prostate tumor cells

Project description:Aberrant androgen receptor (AR)-mediated transcription is a critical driver in progression of human prostate cancer. It's known that different doses of androgens can elicit differential transcriptional and proliferative responses in prostate-tumor cells. Here, we set out to examine the androgenic regulation of glycoprotein expression in the membrane fraction of prostate-tumor cells that could serve as mediators or markers of androgen-induced proliferative responses observed in prostate-tumor cells. A bioanalytical workflow involving lectin-affinity chromatography and label-free quantitative mass spectrometry was used to identify androgen-sensitive glycomembrane protein expression associated with androgen-mediated proliferation. This study would facilitate the identification of surface membrane proteins involved in androgen-mediated proliferation and provide potential therapeutic targets in the detection treatment of proliferation prostate-tumors.

2022-03-01 | PXD002913 | Pride

The lncRNA PCAT29 inhibits oncogenic phenotypes in prostate cancer

Project description:Long noncoding RNAs (lncRNAs) have recently been associated with the development and progression of a variety of human cancers. However, to date, the interplay between known oncogenic or tumor suppressive events and lncRNAs has not been well described. Here the novel lncRNA, Prostate Cancer-Associated Transcript 29 (PCAT29), is characterized along with its relationship to the androgen receptor (AR). PCAT29 is suppressed by dihydrotestosterone (DHT) and up-regulated upon castration therapy in a prostate cancer xenograft model. PCAT29 knockdown significantly increased proliferation and migration of prostate cancer cells, while PCAT29 overexpression conferred the opposite effect and suppressed growth and metastases of prostate tumors in chick chorioallantoic membrane (CAM) assays. Finally, in prostate cancer patient specimens, low PCAT29 expression correlated with poor prognostic outcomes. Taken together, these data expose PCAT29 as an androgen regulated tumor suppressor in prostate cancer PCAT29 was knockdown using shRNA in two prostate cancer cell lines VCaP and LNCaP.

2014-07-01 | E-GEOD-58397 | biostudies-arrayexpress

Identification of hsa-miR-135a target genes in the HeLa cell line

Project description:MicroRNAs (miRNAs) are a class of endogenous small non-coding RNAs. They act as negative regulators of protein-coding gene expression at the post-transcriptional level via sequence-specific interaction with the 3' UTR of targeted mRNAs. A miR-135a dysregulation has been observed in various cancers, where a dual role of oncomiR or of tumor suppressor has been reported for the cancers profiled to date; however, knowledge is limited to explain these contentious data. In the present study, we investigate the regulation and mechanism of action of miR-135a, including identification of functionally targets that contributes to its actions, in prostate cancer progression. We demonstrate that the expression of miR-135a is regulated by androgens, in a time- and dose-dependent manner and identify miR-135a as a direct target gene of the androgen receptor AR. A functional androgen response element (ARE) is identified in the promoter region of the miR-135a gene and ChIP assay reveal AR protein binding to. Anti-androgen treatment and AR-targeted siRNA knockdown strategy suggest a novel function for miR-135a in AR signaling. In silico prediction, transcriptomic and proteomic combined analyses lead to identify ROCK-1/-2 as two miR-135a-targeted genes. Luciferase reporter assays indicate that these two proteins are miR-135a's direct targets. We finally demonstrate that miR-135a acts through ROCK-1/-2 pathways to affect migration and invasion cellular processes. MiR-135a expression level was lower in surgical cancerous samples compared to paired adjacent non-tumoral tissues and was gradually diminished consistent with cancer progression, suggesting the significance of miR-135a-mediated prostate cancer transformation. Our findings define miR-135a as a candidate tumor suppressor and potential prognostic marker in human prostate cancer.

2015-03-18 | GSE45902 | GEO

Identification of hsa-miR-135a target genes in the prostate cancer cell line LNCaP

2015-03-18 | GSE45620 | GEO

MiR-30e in Aortic Smooth Muscle Cells and Bone Marrow Mesenchymal Stem Cells [Experiment 3]

Project description:MiR-30e represses the osteogenic program in mesenchymal stem cells (MSCs) and smooth muscle cells (SMCs) by targeting IGF2, and drives their differentiation into adipogenic or smooth muscle lineage, respectively. In Experiment 1, SMCs were cultured from mouse aortas and transduced with miR-30e or control lentivirus. In Experiment 2, MSCs were extracted from mouse bone marrow and transduced with miR-30e or control lentivirus. In Experiment 3, the MSCs were transfected with a scrambled oligo or anti-miR-30e oligo. In all 3 experiments, N=3 per group. RNA was extracted from each experiment and run on Affymetrix arrays.

2015-01-30 | E-GEOD-65434 | biostudies-arrayexpress

MiR-30e in Aortic Smooth Muscle Cells and Bone Marrow Mesenchymal Stem Cells [Experiment 2]

2015-01-30 | E-GEOD-65432 | biostudies-arrayexpress

MiR-30e in Aortic Smooth Muscle Cells and Bone Marrow Mesenchymal Stem Cells [Experiment 1]

2015-01-30 | E-GEOD-65431 | biostudies-arrayexpress

Differentially expressed genes in head and neck cancer cell line (Sa3), control Sa3 and miR-30e-3p transfected Sa3

Project description:Differentially expressed genes in head and neck cancer cell line (Sa3), control Sa3 and miR-30e-3p transfected Sa3

2022-01-16 | GSE189290 | GEO

The lncRNA PCAT29 inhibits oncogenic phenotypes in prostate cancer

2014-07-01 | GSE58397 | GEO

miR-30e* induced gene expression alteration in glioma cells

Project description:This experiment is designed to evaluate gene expression alteration following miR-30e* transfection in glioma cells. We find a significant elevation of NF kappa B transcriptional targets.

2010-02-17 | GSE20293 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data