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1.
Am J Hum Genet ; 101(1): 23-36, 2017 Jul 06.
Artigo em Inglês | MEDLINE | ID: mdl-28625504

RESUMO

Joubert syndrome (JS) is a recessive neurodevelopmental disorder characterized by hypotonia, ataxia, abnormal eye movements, and variable cognitive impairment. It is defined by a distinctive brain malformation known as the "molar tooth sign" on axial MRI. Subsets of affected individuals have malformations such as coloboma, polydactyly, and encephalocele, as well as progressive retinal dystrophy, fibrocystic kidney disease, and liver fibrosis. More than 35 genes have been associated with JS, but in a subset of families the genetic cause remains unknown. All of the gene products localize in and around the primary cilium, making JS a canonical ciliopathy. Ciliopathies are unified by their overlapping clinical features and underlying mechanisms involving ciliary dysfunction. In this work, we identify biallelic rare, predicted-deleterious ARMC9 variants (stop-gain, missense, splice-site, and single-exon deletion) in 11 individuals with JS from 8 families, accounting for approximately 1% of the disorder. The associated phenotypes range from isolated neurological involvement to JS with retinal dystrophy, additional brain abnormalities (e.g., heterotopia, Dandy-Walker malformation), pituitary insufficiency, and/or synpolydactyly. We show that ARMC9 localizes to the basal body of the cilium and is upregulated during ciliogenesis. Typical ciliopathy phenotypes (curved body shape, retinal dystrophy, coloboma, and decreased cilia) in a CRISPR/Cas9-engineered zebrafish mutant model provide additional support for ARMC9 as a ciliopathy-associated gene. Identifying ARMC9 mutations as a cause of JS takes us one step closer to a full genetic understanding of this important disorder and enables future functional work to define the central biological mechanisms underlying JS and other ciliopathies.


Assuntos
Anormalidades Múltiplas/genética , Proteínas do Domínio Armadillo/genética , Corpos Basais/metabolismo , Cerebelo/anormalidades , Ciliopatias/genética , Anormalidades do Olho/genética , Doenças Renais Císticas/genética , Mutação/genética , Retina/anormalidades , Proteínas de Peixe-Zebra/genética , Peixe-Zebra/genética , Anormalidades Múltiplas/patologia , Animais , Proteínas do Domínio Armadillo/metabolismo , Sequência de Bases , Encéfalo/patologia , Cerebelo/patologia , Cílios/metabolismo , Ciliopatias/patologia , Diagnóstico por Imagem , Exoma/genética , Anormalidades do Olho/patologia , Predisposição Genética para Doença , Humanos , Doenças Renais Císticas/patologia , Fenótipo , Retina/patologia , Análise de Sequência de DNA , Regulação para Cima/genética , Proteínas de Peixe-Zebra/metabolismo
2.
bioRxiv ; 2023 Sep 27.
Artigo em Inglês | MEDLINE | ID: mdl-37808736

RESUMO

Resolving the molecular basis of a Mendelian condition (MC) remains challenging owing to the diverse mechanisms by which genetic variants cause disease. To address this, we developed a synchronized long-read genome, methylome, epigenome, and transcriptome sequencing approach, which enables accurate single-nucleotide, insertion-deletion, and structural variant calling and diploid de novo genome assembly, and permits the simultaneous elucidation of haplotype-resolved CpG methylation, chromatin accessibility, and full-length transcript information in a single long-read sequencing run. Application of this approach to an Undiagnosed Diseases Network (UDN) participant with a chromosome X;13 balanced translocation of uncertain significance revealed that this translocation disrupted the functioning of four separate genes (NBEA, PDK3, MAB21L1, and RB1) previously associated with single-gene MCs. Notably, the function of each gene was disrupted via a distinct mechanism that required integration of the four 'omes' to resolve. These included nonsense-mediated decay, fusion transcript formation, enhancer adoption, transcriptional readthrough silencing, and inappropriate X chromosome inactivation of autosomal genes. Overall, this highlights the utility of synchronized long-read multi-omic profiling for mechanistically resolving complex phenotypes.

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