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Frosk, P.

Publications and source records attributed to Frosk, P..

2 recordsLinked to original sources

CK2 variant function and disease modelling in Drosophila reveal allelic heterogeneity and Wnt/β-catenin-mediated phenotypes

Heterozygous pathogenic variants in CSNK2A1 or CSNK2B encoding the Casein Kinase 2 (CK2) protein complex, lead to pediatric neurodevelopmental disorders, Okur-Chung Neurodevelopmental Syndrome (OCNDS) and Poirier-Bienvenu Neurodevelopmental Syndrome (POBINDS). OCNDS and POBINDS are characterized by a range of symptoms, including developmental delay, intellectual disability, facial dysmorphism, and seizures. Despite over 250 reported cases of OCNDS and POBINDS, we do not fully understand how specific alterations in CK2 relate to the heterogeneity observed in patients. To investigate this, we used the fruit fly, Drosophila melanogaster, as a model system. To assess variant impact, we co-expressed human CSNK2A1 and CSNK2B reference or disease-causing variants in flies. In parallel, we determined the role of Drosophila CkII in the developing and mature nervous system, specifically in neurons and glia. We found that 12/13 variants tested act as full or partial loss-of-function with one CSNK2A1 variant showing gain-of-function. Phospho-proteomic studies in neurons revealed separate signatures for loss- and gain-of-function variants. We found that neuronal and glial CkII is critical for organismal development. Reduction of neuronal CkII in the adult nervous system causes motor and seizure-like phenotypes. Finally, given the known role of CK2 in potentiating Wnt/{beta}-catenin signalling, we show that Wnt agonists partially rescue phenotypes associated with adult-specific neuronal reduction of CkII. This work generates Drosophila models of CSNK2A1 and CSNK2B expression to functionally assess variant impact, as well as an adult-specific neuronal loss-of-function model for drug screening and mechanistic studies.

genetics↗

Identifying disease-causing mechanisms and fundamental biology of neuromuscular disorder genes through genomic feature analysis

IntroductionNeuromuscular disorders (NMDs) encompass a broad group of conditions that primarily affect the peripheral nervous system. They are often caused by genetic alterations that impair skeletal muscle function and result in debilitating symptoms. Obtaining an accurate molecular diagnosis remains a challenge, potentially because variants in genes that have yet to be identified as causal. We therefore used advanced computational methods to study the genetic architecture of NMDs and to identify key features that distinguish NMD genes from other genes in the broader genome. MethodsCurated genes implicated in NMDs (n = 639; GeneTable of NMDs) were obtained and merged with a comprehensive set of genomic features for human autosomal protein-coding genes. Machine-learning-based feature selection and ranking were performed using Boruta, along with complementary analytical approaches. These analyses were used to identify the most important genic features (n = 134, subcategories: gene complexity, genetic variation, expression patterns, and other general gene traits) for discriminating NMD genes from other genes in the genome ResultsNMD genes exhibit enriched expression in disease-relevant tissues, including skeletal muscle and heart. Additionally, compared with other protein-coding genes, these genes exhibit increased transcriptomic complexity (e.g., longer transcripts and more unique isoforms), contain more short tandem repeats, and show greater variation in conservation across model organisms. ConclusionsThis study identified several key genomic features that may distinguish NMD genes from the rest of the genome. This may enhance the identification of novel causal genes and could ultimately facilitate earlier diagnosis and medical management for affected individuals.

genetics↗