Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Assessment of gene expression signatures for overexpression of miR-1285-5p in breast cancer

ABSTRACT: For deep understading of miR-1285-5p in breast cancer, we have employed whole genome microarray expression profilings as a discovery platform to identify target genes of miR-1285-5p. Using human breast cancer cell lines (MCF7, MDA-MB-231, HCC1937 and HCC1954), 31 down-down regulated genes were identified by overexpression of miR-1285-5p reagardless of tumor biology. Functional interaction of miR-1285-5p with two genes (TMEM194A and SLC30A9) from this gene sets was evaluated by r-rt-PCR, Western blot and luciferase transporter assay.

ORGANISM(S): Homo sapiens

PROVIDER: GSE125824 | GEO | 2019/12/31

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Assessment of gene expression signatures for overexpression of miR-1285-5p in breast cancer

Project description:Assessment of gene expression signatures for overexpression of miR-1285-5p in breast cancer

| PRJNA517657 | ENA

The miRNA miR-139-5p is a regulator of metastatic pathways in breast cancer.

Project description:Whole transcriptome Identification of direct targets of miR-139-5p using biotinylated pull-downs found that this miRNA has roles in breast cancer invasion and migration. MCF7 cells were transfected with biotinylated miR-139-5p. The miRNAs and target mRNA were pulled down with streptavidin and compared to the input control.

2013-12-01 | E-GEOD-40411 | biostudies-arrayexpress

miR-671-5p promotes epithelial-to-mesenchymal transition by downregulating FOXM1 expression in breast cancer

Project description:microRNA (miRNA) dysfunction is associated with a variety of human diseases including cancer. Our previous study showed that miR-671-5p was deregulated during breast cancer progression. We aim to decipher the functional mechanism of miR- 671-5p in breast cancer. We used microarrays to detail the global programme of gene expression after overexpression miR-671-5p in several breast cancer cell lines, and those altered genes might potentially under regulation of miR-671-5p contibuting to breast cancer developemtn. miR-671-5p or scramble control nucleotide were tranfected into breast cancer cell lines, including MCF7, MDA231 and SKBR3. Total RNA were extracted and hybridized on Affymetrix microarrays. We sought to identify the potential downstream target genes that under miR-671-5p regulation by overexpress miR-671-5p. Potential targets were predicted to see if it has binding sites matching miR-671-5p sequence by miRNA target prediction softwares.

2014-10-16 | E-GEOD-62411 | biostudies-arrayexpress

Patel2023 - miRNA-199a/b-5p regionation of chondrogenesis - enchanced

Project description:From a previous microarray study we developed a small chondrogenesis model. We performed qPCR and measured how knockdown of miR-199a-5p or miR-199b-5p could modulate chondrogenesis. Several experiments were used to determine the parameters of this model. We utilised parameter scan and manual sliding to refine the model. Within are two models - an initial model which only comprises of genes which we have data for, and an enhanced model which expands of the initial model to make more predictions - e.g. how miR-140-5p is indirectly regulated by miR-199a-5p and miR-199b-5p.

2023-06-06 | MODEL2305010001 | BioModels

Five microRNAs in serum are able to differentiate breast cancer patients from healthy individuals

Project description:Breast Cancer is the cancer with most incidence and mortality in women. microRNAs are emerging as novel prognosis/diagnostic tools. Our aim was to identify a serum microRNA signature useful to predict cancer development. We focused on studying the expression levels of 30 microRNAs in the serum of 96 breast cancer patients versus 92 control individuals. Bioinformatic studies provide a microRNA signature, designated as a predictor, based upon the expression levels of 5 microRNAs. Then, we tested the predictor in a group of 60 randomly chosen women. Lastly, a proteomic study unveiled the over-expression and down-regulation of proteins differently expressed in the serum of breast cancer patients versus that of control individuals. Twenty-six microRNAs differentiate cancer tissue from healthy tissue and 16 microRNAs differentiate the serum of cancer patients from that of the control group. The tissue expression of miR-99a-5p, mir-497-5p, miR-362, and miR-1274, and the serum levels of miR-141 correlated with patient survival. Moreover, the predictor consisting of mir-125b-5p, miR-29c-3p, mir-16-5p, miR-1260, and miR-451a was able to differentiate breast cancer patients from controls. The predictor was validated in 20 new cases of breast cancer patients and tested in 60 volunteer women, assigning 11 out of 60 women to the cancer group. An association of low levels of mir-16-5p with a high content of CD44 protein in serum was found. Circulating microRNAs in serum can represent biomarkers for cancer prediction. Their clinical relevance and use of the predictor here described might be of potential importance for breast cancer prediction.

2020-09-18 | PXD020795 | Pride

miR-671-5p promotes epithelial-to-mesenchymal transition by downregulating FOXM1 expression in breast cancer

2014-10-16 | GSE62411 | GEO

Human MDA-MB-231 breast cancer cells overexpressing miR-183-5p and its isomiRs

Project description:Overexpression of miR-183-5p|+2, but not of the other two isomiRs |0 and |+1, was observed to reduce cell cycle and cell proliferation in different triple-negative breast cancer cell lines. Therefore, we hypothesized that the |+2 isoform has targets distinct from the other two isoforms. To test this hypothesis, we overexpressed separately the three different isoforms or negative controls (siAllstar or mimic-Cltr) and performed Mass Spectrometry to identify differentially regulated proteins. Interestingly, a gene set enrichment analysis of the changes in protein expression revealed significant downregulation of transcriptional targets of E2F specifically in cells transfected with the |+2 isoform prompting us to validate the predicted isomiR specific target E2F1. Subsequently, we could show that direct targeting of E2F1 by miR-183-5p|+2 is responsible for the impact of the isomiR on cell cycle and proliferation.

2022-05-26 | PXD026763 | Pride

Gene expression profiles of U87 cells after transfection with hsa-miR-145-5p and 31-5p

Project description:We analyzed the expression profiles of hsa-miR-145-5p or hsa-miR-31-5p-targeting genes relating to invasion or migration after co-overexpression of hsa-miR-145-5p and 31-5p Gene expression profiles of U87 cells after co-transfection with hsa-miR-145-5p and 31-5p mimics, and U87 cells after transfection miR mimic negative control

2016-06-23 | E-GEOD-83643 | biostudies-arrayexpress

Restoring miR-150-5p to a triple negative breast cancer cell line [BT-549]

Project description:The objective of these experiments is to identify novel direct and indirect targets of miR-150-5p in breast cancer cell lines. The goal is that these will give direction as to what targets or pathways may be contributing to the reduced growth observed in these cell lines upon restoration of miR-150-5p. A therapy directed towards one or more critical subtype-specific targets could be developed as a therapeutic for breast cancer patients. Using has-miR-150-5p mirVana miRNA mimic (Ambion, 4464066), miR-150-5p was restored to a triple negative breast cancer cell line, BT-549.

2017-01-01 | GSE87589 | GEO

miR-106a-5p inhibits the proliferation and migration of astrocytoma cells and promotes apoptosis by targeting FASTK

Project description:mRNA microarray experiments were performed to measure global mRNA expression in the presence of increased or decreased miR-106a-5p levels to to identify the total transcripts regulated by miR-106a-5p directly or indirectly. FASTK was identified as a direct target gene of miR-106a-5p. In order to identify the total transcripts regulated by miR-106a-5p directly or indirectly, we first measured the global mRNA expression change through mRNA microarray by overexpressing or knocking down miR-106a-5p in cancer cells. Next, we combined bioinformatics programs to select candidate miR-106a-5p targets from the differentially regulated genes to refine the number of miR-106a-5p targets. Then we validated the miR-106a-5p target gene through western blot analysis, quantitative real-time PCR and luciferase reporter assay.

2013-06-08 | E-GEOD-47737 | biostudies-arrayexpress

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