dateReleased: |
08-01-2016
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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.
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privacy: |
not applicable
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aggregation: |
instance of dataset
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ID: |
E-GEOD-61752
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refinement: |
raw
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alternateIdentifiers: |
61752
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keywords: |
functional genomics
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dateModified: |
08-06-2016
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availability: |
available
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types: |
gene expression
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name: |
Homo sapiens
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ID: |
A-GEOD-10558
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name: |
Illumina HumanHT-12 V4.0 expression beadchip
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accessURL: | https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-61752/E-GEOD-61752.raw.1.zip![]() |
storedIn: |
ArrayExpress
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qualifier: |
gzip compressed
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format: |
TXT
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accessType: |
download
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authentication: |
none
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authorization: |
none
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accessURL: | https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-61752/E-GEOD-61752.processed.1.zip |
storedIn: |
ArrayExpress
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qualifier: |
gzip compressed
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format: |
TXT
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accessType: |
download
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authentication: |
none
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authorization: |
none
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accessURL: | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE61752 |
storedIn: |
Gene Expression Omnibus
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qualifier: |
not compressed
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format: |
HTML
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accessType: |
landing page
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primary: |
true
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authentication: |
none
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authorization: |
none
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abbreviation: |
EBI
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homePage: | http://www.ebi.ac.uk/ |
ID: |
SCR:004727
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name: |
European Bioinformatics Institute
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homePage: | https://www.ebi.ac.uk/arrayexpress/ |
ID: |
SCR:002964
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name: |
ArrayExpress
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