Integrated Computational Analysis Highlights unique miRNA Signatures in the Subventricular Zone and Striatum of GM2 Gangliosidosis Animal Models.
Francesco MorenaVasileios OikonomouChiara ArgentatiMartina BazzucchiCarla EmilianiAngela GrittiSabata MartinoPublished in: International journal of molecular sciences (2019)
This work explores for the first time the potential contribution of microRNAs (miRNAs) to the pathophysiology of the GM2 gangliosidosis, a group of Lysosomal Storage Diseases. In spite of the genetic origin of GM2 gangliosidosis, the cascade of events leading from the gene/protein defects to the cell dysfunction and death is not fully elucidated. At present, there is no cure for patients. Taking advantage of the animal models of two forms of GM2 gangliosidosis, Tay-Sachs (TSD) and Sandhoff (SD) diseases, we performed a microRNA screening in the brain subventricular zone (SVZ) and striatum (STR), which feature the neurogenesis and neurodegeneration states, respectively, in adult mutant mice. We found abnormal expression of a panel of miRNAs involved in lipid metabolism, CNS development and homeostasis, and neuropathological processes, highlighting region- and disease-specific profiles of miRNA expression. Moreover, by using a computational analysis approach, we identified a unique disease- (SD or TSD) and brain region-specific (SVZ vs. STR) miRNAs signatures of predicted networks potentially related to the pathogenesis of the diseases. These results may contribute to the understanding of GM2 gangliosidosis pathophysiology, with the aim of developing effective treatments.
Keyphrases
- genome wide
- poor prognosis
- end stage renal disease
- binding protein
- white matter
- newly diagnosed
- cerebral ischemia
- stem cells
- machine learning
- oxidative stress
- resting state
- single cell
- copy number
- dna methylation
- type diabetes
- peritoneal dialysis
- skeletal muscle
- patient reported outcomes
- multiple sclerosis
- mesenchymal stem cells
- bone marrow
- high fat diet induced
- long non coding rna
- insulin resistance
- risk assessment
- brain injury
- neural stem cells