Drosophila models of phosphatidylinositol glycan biosynthesis class A congenital disorder of glycosylation (PIGA-CDG) mirror patient phenotypes.
Holly J ThorpeKatie G OwingsMiriam C AzizMadelyn HallerEmily CoelhoClement Y ChowPublished in: G3 (Bethesda, Md.) (2024)
Mutations in the phosphatidylinositol glycan biosynthesis class A (PIGA) gene cause a rare, X-linked recessive congenital disorder of glycosylation. Phosphatidylinositol glycan biosynthesis class A congenital disorder of glycosylation (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 glycosylphosphatidylinositol (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. RNA sequencing 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
- single cell
- cell wall
- poor prognosis
- endothelial cells
- end stage renal disease
- cell therapy
- copy number
- protein kinase
- genome wide
- case report
- dna methylation
- staphylococcus aureus
- stem cells
- brain injury
- zika virus
- gene expression
- prognostic factors
- cystic fibrosis
- big data
- machine learning
- long non coding rna
- blood brain barrier
- genome wide identification
- subarachnoid hemorrhage
- peritoneal dialysis
- small molecule
- intellectual disability
- biofilm formation
- artificial intelligence
- duchenne muscular dystrophy
- deep learning
- protein protein