Abstract:We have isolated a Meis1a transgenic mouse line exhibiting recessive male-specific lethality and non-alcoholic fatty liver disease (NAFLD), which coincides with pubescence and is androgen-dependent. The phenotype is due to disruption of an endogenous locus, since other Meis1a transgenic lines do not exhibit these phenotypes. Necropsy analysis revealed hepatic microvesicular steatosis in pubescent male homozygous mice, which is absent in transgenic females. The transgene insertion site was localized to chromoso… Show more
“…Lactamase 2 (decreased in iron overload) is a mammalian mitochondrial protein sharing sequence similarity to the -lactamase/penicillin-binding protein family of serine proteases that are involved in bacterial cell wall metabolism. The physiological role of liver lactamase is unclear; however, disruption of the gene causes male-specific hepatic microvesicular steatosis (39). Dimeric dihydrodiol dehydrogenase (decreased) detoxifies aromatic hydrocarbons to corresponding catechols.…”
Petrak J, Myslivcova D, Man P, Cmejla R, Cmejlova J, Vyoral D, Elleder M, Vulpe CD. Proteomic analysis of hepatic iron overload in mice suggests dysregulation of urea cycle, impairment of fatty acid oxidation, and changes in the methylation cycle.
“…Lactamase 2 (decreased in iron overload) is a mammalian mitochondrial protein sharing sequence similarity to the -lactamase/penicillin-binding protein family of serine proteases that are involved in bacterial cell wall metabolism. The physiological role of liver lactamase is unclear; however, disruption of the gene causes male-specific hepatic microvesicular steatosis (39). Dimeric dihydrodiol dehydrogenase (decreased) detoxifies aromatic hydrocarbons to corresponding catechols.…”
Petrak J, Myslivcova D, Man P, Cmejla R, Cmejlova J, Vyoral D, Elleder M, Vulpe CD. Proteomic analysis of hepatic iron overload in mice suggests dysregulation of urea cycle, impairment of fatty acid oxidation, and changes in the methylation cycle.
Highlights d Pseudotime estimates order cells in a dynamic process using single-cell gene expression d SINGE infers gene regulatory networks from gene expression trends over pseudotime d SINGE's ensembling considers many smoothed versions of irregular pseudotemporal data d Uninformative pseudotime values can be detrimental to network reconstruction
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