Increased Expression of Angiogenic Genes in the Brains of Mouse Meg3-null Embryos
Transcriptomics Dataset
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General Information
AccessionGSE18742
TitleIncreased Expression of Angiogenic Genes in the Brains of Mouse Meg3-null Embryos
DescriptionMEG3 (Maternally Expressed Gene 3) is a non-coding RNA that is highly expressed in the normal human brain and pituitary. Expression of MEG3 is lost in gonadotroph-derived clinically non-functioning pituitary adenomas. Meg3 knock-out mice were generated to identify targets and potential functions of this gene in embryonic development and tumorigenesis. Gene expression profiles were compared in the brains of Meg3-null embryos and wild-type litter-mate controls using microarray analysis. Microarray data were analyzed with GeneSifter which uses Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and Gene Ontology (GO) classifications to identify signaling cascades and functional categories of interest within the data set. Differences were found in signaling pathways and ontologies related to angiogenesis between wild-type and knock-out embryos. Quantitative RT-PCR and histological staining showed increased expression of some VEGF pathway genes and increased cortical microvessel density in the knock-out embryos. These results are consistent with reported increases in VEGF signaling observed in human clinically non-functioning pituitary adenomas. In conclusion, Meg3 may play an important role in control of vascularization in the brain and may function as a tumor suppressor by preventing angiogenesis.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE18742
RepositoryGene Expression Omnibus
Tools used to analyze the dataset
Keyword
Dataset Accession
Enrichr
Published May 2016
A comprehensive gene set enrichment analysis web server 2016 update
7759
65
Characteristic Direction
Published March 2014
A geometrical multivariate approach to identify differentially expressed genes
26829
GeneMANIA
Published June 2010
Biological network integration for gene prioritization and predicting gene function
7435
L1000CDS2
Published August 2016
An ultra-fast LINCS L1000 Characteristic Direction signature search engine
7756
PAEA
Published November 2015
Enrichment analysis tool implementing the principal angle method
3879
Canned Analyses generated with the dataset
Filters  
Dataset Accession
Tool Name
Direction
Geneset
Small molecules which mimic MEG3 KO
L1000CDS2, Characteristic Direction
The L1000 database was queried in order to identify small molecule perturbations which mim...
Small molecules which reverse MEG3 KO
L1000CDS2, Characteristic Direction
The L1000 database was queried in order to identify small molecule perturbations which rev...
Enrichment analysis of genes dysregulated in MEG3 KO
PAEA, Characteristic Direction
An enrichment analysis was performed on the top most dyresgulated genes determined by appl...
Interaction network and enrichment analysis of genes downregulated in MEG3 KO
GeneMANIA, Characteristic Direction
The analysis explores the gene interaction network and pathway enrichment of the top 50 mo...
Interaction network and enrichment analysis of genes upregulated in MEG3 KO
GeneMANIA, Characteristic Direction
The analysis explores the gene interaction network and pathway enrichment of the top 50 mo...
Enrichment analysis of genes downregulated in MEG3 KO
Enrichr, Characteristic Direction
An enrichment analysis was performed on the top 500 most downregulated genes identified by...
Enrichment analysis of genes upregulated in MEG3 KO
Enrichr, Characteristic Direction
An enrichment analysis was performed on the top 500 most upregulated genes identified by a...
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