Drosophila models of PIGA-CDG mirror patient phenotypes.
Holly J ThorpeKatie G OwingsMiriam C AzizMadelyn HallerEmily CoelhoClement Y ChowPublished in: G3 (Bethesda, Md.) (2023)
Mutations in the phosphatidylinositol glycan biosynthesis class A (PIGA) gene cause a rare, X-linked recessive congenital disorder of glycosylation (CDG). PIGA-CDG is characterized by seizures, intellectual and developmental delay, and congenital malformations. The PIGA gene encodes an enzyme involved in the first step of GPI anchor biosynthesis. There are over 100 GPI anchored proteins that attach to the cell surface and are involved in cell signaling, immunity, and adhesion. Little is known about the pathophysiology of PIGA-CDG. Here we describe the first Drosophila model of PIGA-CDG and demonstrate that loss of PIG-A function in Drosophila accurately models the human disease. As expected, complete loss of PIG-A function is larval lethal. Heterozygous null animals appear healthy, but when challenged, have a seizure phenotype similar to what is observed in patients. To identify the cell-type specific contributions to disease, we generated neuron- and glia-specific knockdown of PIG-A. Neuron-specific knockdown resulted in reduced lifespan and a number of neurological phenotypes, but no seizure phenotype. Glia-knockdown also reduced lifespan and, notably, resulted in a very strong seizure phenotype. RNAseq analyses demonstrated that there are fundamentally different molecular processes that are disrupted when PIG-A function is eliminated in different cell types. In particular, loss of PIG-A in neurons resulted in upregulation of glycolysis, but loss of PIG-A in glia resulted in upregulation of protein translation machinery. Here we demonstrate that Drosophila is a good model of PIGA-CDG and provide new data resources for future study of PIGA-CDG and other GPI anchor disorders.
Keyphrases
- cell surface
- end stage renal disease
- single cell
- chronic kidney disease
- cell proliferation
- cell therapy
- copy number
- poor prognosis
- genome wide
- newly diagnosed
- signaling pathway
- stem cells
- ejection fraction
- cystic fibrosis
- electronic health record
- dna methylation
- peritoneal dialysis
- early onset
- gene expression
- prognostic factors
- machine learning
- mesenchymal stem cells
- long non coding rna
- functional connectivity
- case report
- resting state
- staphylococcus aureus
- genome wide identification
- big data
- single molecule
- current status
- amino acid
- cell wall