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Title: Identification of cell signaling pathway associated miRNAs in cancer cells using a systems biological approach: potent RNAi response in cancer using novel 2’-OMe-phosphorodithioated modified siRNAs      
dateReleased:
08-01-2016
description:
MicroRNAs (miRNAs) are single-stranded, non-coding RNA molecules and on average only 22 nucleotides long that regulate gene expression at the post-transcriptional level. Target predictions of miRNA based on sequence are limited due to too many candidates resulting in high false positives. We generated the Association score matrix and miRNA-pathway association map. To validate our approach, we used miR-500 as an example to investigate the hypothetical target regulation mechanisms. We confirmed in-vitro that mir-500 highly is associated with ERK signaling pathway in breast cancer cells. Furthermore, we found PPFIA1 might be one of direct targets of miR-500 to regulate activating the ERK pathway. In conclusion, we developed a model system to systematically predict potential miRNA functional targets which play critical roles in cell signaling pathways from the NCI-60 genomic and proteomic data at whole genomic scale. Two groups of samples are included: 1. siControl treated control-miRNA and 2. mimic miR-500 treated two cells: MCF7 and MDA-MB-231. Gene expression profiles of mimic miR-500 treated cells were compared to that of control treated cells.
privacy:
not applicable
aggregation:
instance of dataset
ID:
E-GEOD-61752
refinement:
raw
alternateIdentifiers:
61752
keywords:
functional genomics
dateModified:
08-06-2016
availability:
available
types:
gene expression
name:
Homo sapiens
ID:
A-GEOD-10558
name:
Illumina HumanHT-12 V4.0 expression beadchip
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-61752/E-GEOD-61752.raw.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-61752/E-GEOD-61752.processed.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE61752
storedIn:
Gene Expression Omnibus
qualifier:
not compressed
format:
HTML
accessType:
landing page
primary:
true
authentication:
none
authorization:
none
abbreviation:
EBI
homePage: http://www.ebi.ac.uk/
ID:
SCR:004727
name:
European Bioinformatics Institute
homePage: https://www.ebi.ac.uk/arrayexpress/
ID:
SCR:002964
name:
ArrayExpress

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