E12.5 CD9+ Mouse Placental Trophoblast Microarray, Wild-type vs c-Met KO
Transcriptomics Dataset
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General Information
AccessionGSE38342
TitleE12.5 CD9+ Mouse Placental Trophoblast Microarray, Wild-type vs c-Met KO
DescriptionThe placenta serves as the structural interface for nutrient and waste exchange for proper fetal development. Although defects in placental function result in various placental disorders, molecular mechanisms orchestrating placental development and function are poorly understood. Gene targeting studies have shown that Hgf or c-Met KO embryos exhibit growth retardation and markedly smaller size of the placenta, and die by E14.5. Stem/progenitor cells in various tissues express c-Met and they participate in morphogenesis and tissue repair. Thus, we hypothesized that the HGF/c-Met signaling pathway is essential for the emergence, proliferation, and/or differentiation of putative stem/precursor cells of labyrinth trophoblasts at the midgestation stage. To examine the downstream mechanisms of HGF/c-Met signaling pathway that regulate placental labyrinth development, we performed microarray analysis and compared the transcriptional profiles of wild-type and c-Met g-KO placentas. The highly enriched gene ontology categories among the transcripts that were down-regulated in the mutant placentas were related to cell cycle, transcription, and placenta development. Surprisingly, the most highly enriched GO category among the up-regulated genes was immune response. Furthermore, genes classified as unsaturated fatty acid metabolic process were also significantly enriched among the up-regulated genes. This expression data suggested that HGF/c-Met signaling pathway positively regulates progression of cell cycle and transcription of placenta specific genes, and negatively regulates inflammatory reaction and fatty acids synthesis in the trophoblasts, thereby coordinating many critical cellular processes in the placenta.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE38342
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

Dataset Accession
Tool Name
Direction
Geneset

Small molecules which mimic MET KO
The L1000 database was queried in order to identify small molecule perturbations which mim...
Small molecules which reverse MET KO
The L1000 database was queried in order to identify small molecule perturbations which rev...
Enrichment analysis of genes dysregulated in MET KO
An enrichment analysis was performed on the top most dyresgulated genes determined by appl...
Interaction network and enrichment analysis of genes downregulated in MET KO
The analysis explores the gene interaction network and pathway enrichment of the top 50 mo...
Interaction network and enrichment analysis of genes upregulated in MET KO
The analysis explores the gene interaction network and pathway enrichment of the top 50 mo...
Enrichment analysis of genes downregulated in MET KO
An enrichment analysis was performed on the top 500 most downregulated genes identified by...
Enrichment analysis of genes upregulated in MET KO
An enrichment analysis was performed on the top 500 most upregulated genes identified by a...
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