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HT Experiment :

Experiment Id  GSE239863 Name  The Rogdi Knockout Mouse is a Model for Kohlschutter-Tonz Syndrome
Experiment Type  RNA-Seq Study Type  WT vs. Mutant
Source  GEO Curation Date  2024-06-24
description  Kohlschutter-Tonz Syndrome (KTS) is a rare autosomal recessive disorder characterized by severe intellectual disability, early-onset epileptic seizures, and amelogenesis imperfecta. Loss of ROGDI expression likely produces these severe patient defects. Here we present a novel Rogdi mutant mouse demonstrating Rogdi-/- loss of function recapitulates most KTS patient symptoms. Mutants displayed pronounced pentylenetetrazol-induced seizures confirming epilepsy susceptibility. Spontaneous locomotion and circadian activity tests demonstrate Rogdi mutant hyperactivity mirroring patient spasticity. Object recognition impairment indicates memory deficits. Rogdi-/- mutant enamel was markedly less mature. Scanning electron microscopy confirmed its hypomineralized/hypomature crystallization, as well as its low mineral content. Transcriptomic RNA sequencing of postnatal day 5 lower incisors showed downregulated enamel matrix proteins Enam, Amelx, and Ambn. Enamel crystallization is highly pH-dependent as an acidic pH is required to accelerate matrix protein degradation and to promote mineralization. Rogdi-/- teeth exhibit no signs of cyclic dental acidification. Additionally, expression changes in Wdr72, Slc9a3r2, and Atp6v0c were identified as potential contributors to these tooth acidification abnormalities. These proteins interact through the acidifying V-ATPase complex. Here we present the Rogdi-/- mutant as a novel model deciphering partially KTS pathophysiology. Rogdi-/- mutant defects in acidification might explain the unusual combination of enamel and neurological rare disease symptoms. To investigate the role of ROGDI, A mouse mutant model of Rogdi inactivation was generated at the Institut Clinique de la Souris (ICS), Illkirch, France. independent lower incisors of PN5 male Rogdi mutants and WT controls were analyzed by high throughput RNA sequencing (RNA-seq). Bioinformatic analysis were performed selecting significant genes using p-value < 0.05 and absolute value of log2 Fold-Change > 0.3.
  • variables:
  • bulk RNA-seq,
  • genotype

1 Publications

Trail: HTExperiment

9 Samples

Trail: HTExperiment