Transcriptomics

Dataset Information

0

Targeted disruption of glycerol kinase gene in mice: expression analysis in liver


ABSTRACT: Glycerol kinase deficiency (GKD) is an X-linked inborn error of metabolism with metabolic and neurologic crises. Liver shows the highest level of glycerol kinase (GK) activity in humans and mice. Absence of genotype-phenotype correlations in patients with GKD indicate the involvement of modifier genes, including other network partners. To understand the molecular pathogenesis of GKD, we performed microarray analysis on liver mRNA from neonatal glycerol kinase (Gyk) knockout (KO) and wild type (WT) mice. Unsupervised learning revealed the overall gene expression profile of the KO mice was different from that of WT. Real time PCR confirmed differences for selected genes. Functional gene enrichment analysis was used to find 56 increased and 37 decreased gene functional categories. Pathway Assist analysis identified changes in gene expression levels of genes involved in organic acid metabolism indicating that GK was part of the same metabolic network which correlates well with the patients with GKD having metabolic acidemia during their episodic crises. Network component analysis (NCA) showed that transcription factors SREBP-1c, ChREBP, HNF-4alpha, and PPAR-alpha, had increased activity in the Gyk KO mice compared with WT mice; while SREBP-2 was less active in the Gyk KO mice. These studies show that Gyk deletion causes alterations in gene expression of genes in several regulatory networks and is the first time NCA has been used to expand on microarray data from a mouse knockout model of a human disease. Keywords: Glycerol kinase (Gyk) knockout mouse; mouse model of human Glycerol Kinase Deficiency; Gyk KO versus WT liver expression analysis; Affymetrix mus 430 2.0 GeneChip

ORGANISM(S): Mus musculus

PROVIDER: GSE3843 | GEO | 2005/12/22

SECONDARY ACCESSION(S): PRJNA94063

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2007-12-12 | E-GEOD-3843 | biostudies-arrayexpress
2007-11-22 | E-GEOD-4656 | biostudies-arrayexpress
2007-03-11 | GSE4656 | GEO
2009-09-10 | E-GEOD-12748 | biostudies-arrayexpress
2009-09-10 | GSE12748 | GEO
2023-08-14 | GSE240436 | GEO
2010-09-10 | E-GEOD-20920 | biostudies-arrayexpress
2010-09-10 | GSE20920 | GEO
2022-04-05 | GSE174173 | GEO
2022-04-05 | GSE169104 | GEO