ZSCAN10 deficiency causes a neurodevelopmental disorder with characteristic oto-facial malformations.
Lucia LaugwitzFubo ChengStephan C CollinsAlexander HustinxNicolas NavarroSimon WelschHelen CoxTzung-Chien HsiehAswinkumar VijayananthRebecca BuchertBenjamin BenderStephanie EfthymiouDavid MurphyFaisal ZafarNuzhat RanaUte GrasshoffRuth J FalbMona GrimmelAnnette SeibtWenxu ZhengHamid GhaediMarie ThirionSébastien CouetteReza AzizimalamiriSaeid SadeghianHamid GalehdariMina ZamaniJawaher ZeighamiAlireza SedaghatSamira Molaei RamsheAli ZareBehnam AlipoorDirk KleeMarc SturmStephan OssowskiHenry HouldenOlaf RiessDagmar WieczorekRyan GavinReza MaroofianPeter M KrawitzBinnaz YalcinFelix DistelmaierTobias B HaackPublished in: Brain : a journal of neurology (2024)
Neurodevelopmental disorders are major indications for genetic referral and have been linked to more than 1500 loci including genes encoding transcriptional regulators. The dysfunction of transcription factors often results in characteristic syndromic presentations; however, at least half of these patients lack a genetic diagnosis. The implementation of machine learning approaches has the potential to aid in the identification of new disease genes and delineate associated phenotypes. Next generation sequencing was performed in seven affected individuals with neurodevelopmental delay and dysmorphic features. Clinical characterization included reanalysis of available neuroimaging datasets and 2D portrait image analysis with GestaltMatcher. The functional consequences of ZSCAN10 loss were modelled in mouse embryonic stem cells (mESCs), including a knockout and a representative ZSCAN10 protein truncating variant. These models were characterized by gene expression and western blot analyses, chromatin immunoprecipitation and quantitative PCR (ChIP-qPCR) and immunofluorescence staining. Zscan10 knockout mouse embryos were generated and phenotyped. We prioritized bi-allelic ZSCAN10 loss-of-function variants in seven affected individuals from five unrelated families as the underlying molecular cause. RNA-sequencing analyses in Zscan10-/- mESCs indicated dysregulation of genes related to stem cell pluripotency. In addition, we established in mESCs the loss-of-function mechanism for a representative human ZSCAN10 protein truncating variant by showing alteration of its expression levels and subcellular localization, interfering with its binding to DNA enhancer targets. Deep phenotyping revealed global developmental delay, facial asymmetry and malformations of the outer ear as consistent clinical features. Cerebral MRI showed dysplasia of the semicircular canals as an anatomical correlate of sensorineural hearing loss. Facial asymmetry was confirmed as a clinical feature by GestaltMatcher and was recapitulated in the Zscan10 mouse model along with inner and outer ear malformations. Our findings provide evidence of a novel syndromic neurodevelopmental disorder caused by bi-allelic loss-of-function variants in ZSCAN10.
Keyphrases
- genome wide
- gene expression
- transcription factor
- copy number
- machine learning
- stem cells
- embryonic stem cells
- dna methylation
- mouse model
- bioinformatics analysis
- end stage renal disease
- binding protein
- primary care
- genome wide identification
- healthcare
- cross sectional
- newly diagnosed
- high throughput
- single cell
- deep learning
- south africa
- ejection fraction
- peritoneal dialysis
- computed tomography
- circulating tumor
- dna damage
- poor prognosis
- protein protein
- soft tissue
- single molecule
- intellectual disability
- endothelial cells
- congenital heart disease
- risk assessment
- amino acid
- chronic kidney disease
- patient reported outcomes
- autism spectrum disorder
- subarachnoid hemorrhage
- brain injury
- cell free
- prognostic factors
- dna binding
- genome wide analysis
- mass spectrometry
- real time pcr