Mus musculus
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA305758 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Genome-wide characterization of Zac1 target genes reveals its role as a broad regulator of the imprinted gene network including extracellular matrix genes
| PRJNA306039 | ENA
Project description:In order to determine the imprinted transcription factor Zac1 targets, we overexpressed Zac1 in a mouse insulinoma cell line and measured the regulated expressed genes by RNA-seq. We have shown that Zac1 regulates many genes belonging to the Imprinted Gene Network, including genes coding for the extra-cellular matrix.
2017-11-24 | GSE84914 | GEO
Project description:Plagl1/Zac1 regulates extracellular matrix genes and the imprinted gene network
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Project description:In order to determine the targets of the imprinted transcription factor Zac1, we compared wild type and Zac1-mutant MEFs and measured the differentially expressed genes by RNA-seq. Genes deregulated in the absence of Zac1 include genes belonging to the Imprinted Gene Network and genes coding for the extra-cellular matrix.
2017-11-24 | GSE99409 | GEO
Project description:In order to determine the imprinted transcription factor Zac1 targets, we overexpressed Zac1 in a neuroblastoma cell line and measured both the regulated expressed genes by Differential Gene Expressed analysis and Zac1 binding sites throughout the mouse genome by ChIP-seq. We have shown that Zac1 regulates and binds closed to many genes belonging to the Imprinted Gene Network.
2017-11-24 | GSE75943 | GEO
Project description:In order to determine the imprinted transcription factor Zac1 targets, we overexpressed Zac1 in a neuroblastoma cell line and measured both the regulated expressed genes by Differential Gene Expressed analysis and Zac1 binding sites throughout the mouse genome by ChIP-seq. We have shown that Zac1 regulates and binds closed to many genes belonging to the Imprinted Gene Network.
2017-11-24 | GSE75942 | GEO
Project description:Zac1 is a regulator of the imprinted gene network (RNA-seq)
| PRJNA335628 | ENA
Project description:Zac1 is a regulator of the imprinted gene network (ChIP-seq)
| PRJNA305755 | ENA
Project description:Background and Aims Within the next decade, non-alcoholic fatty liver disease (NAFLD) is predicted to become the most prevalent cause of childhood liver failure in developed countries. Predisposition to juvenile NAFLD can be programmed during early life in response to maternal metabolic syndrome (MetS), but the underlying mechanisms are poorly understood. We hypothesized that imprinted genes, defined by expression from a single parental allele, play a key role in maternal MetS-induced NAFLD, due to their susceptibility to environmental stressors and their functions in liver homeostasis. We aimed to test this hypothesis and determine the critical periods of susceptibility to maternal MetS. Approach and Results We established a mouse model to compare the effects of MetS during prenatal and postnatal development on NAFLD. Postnatal but not prenatal MetS exposure is associated with histological, biochemical and molecular signatures of hepatic steatosis and fibrosis in juvenile mice. Using RNA-seq, we show that the Imprinted Gene Network (IGN), including its regulator Zac1, is up-regulated and over-represented among differentially expressed genes, consistent with a role in maternal MetS-induced NAFLD. In support of this, activation of the IGN in cultured hepatoma cells by over-expressing Zac1 is sufficient to induce signatures of profibrogenic transformation. Using chromatin immunoprecipitation, we demonstrate that Zac1 binds the TGF-β1 and COL6A2 promoters, forming a direct pathway between imprinted genes and well-characterized pathophysiological mechanisms of NAFLD. Finally, we show that hepatocyte-specific over-expression of Zac1 is sufficient to drive fibrosis in vivo. Conclusions Our findings identify a novel pathway linking maternal MetS exposure during postnatal development to the programming of juvenile NAFLD, and provide support for the hypothesis that imprinted genes play a central role in metabolic disease programming.
2022-02-14 | GSE183809 | GEO
Project description:Background and Aims Within the next decade, non-alcoholic fatty liver disease (NAFLD) is predicted to become the most prevalent cause of childhood liver failure in developed countries. Predisposition to juvenile NAFLD can be programmed during early life in response to maternal metabolic syndrome (MetS), but the underlying mechanisms are poorly understood. We hypothesized that imprinted genes, defined by expression from a single parental allele, play a key role in maternal MetS-induced NAFLD, due to their susceptibility to environmental stressors and their functions in liver homeostasis. We aimed to test this hypothesis and determine the critical periods of susceptibility to maternal MetS. Approach and Results We established a mouse model to compare the effects of MetS during prenatal and postnatal development on NAFLD. Postnatal but not prenatal MetS exposure is associated with histological, biochemical and molecular signatures of hepatic steatosis and fibrosis in juvenile mice. Using RNA-seq, we show that the Imprinted Gene Network (IGN), including its regulator Zac1, is up-regulated and over-represented among differentially expressed genes, consistent with a role in maternal MetS-induced NAFLD. In support of this, activation of the IGN in cultured hepatoma cells by over-expressing Zac1 is sufficient to induce signatures of profibrogenic transformation. Using chromatin immunoprecipitation, we demonstrate that Zac1 binds the TGF-β1 and COL6A2 promoters, forming a direct pathway between imprinted genes and well-characterized pathophysiological mechanisms of NAFLD. Finally, we show that hepatocyte-specific over-expression of Zac1 is sufficient to drive fibrosis in vivo. Conclusions Our findings identify a novel pathway linking maternal MetS exposure during postnatal development to the programming of juvenile NAFLD, and provide support for the hypothesis that imprinted genes play a central role in metabolic disease programming.
2022-02-14 | GSE193670 | GEO