Transcriptomic analyses reveal neuronal specificity of Leigh syndrome associated genes.
Azizia WahediChandika SoondramAlan E MurphyNathan G SkeneShamima RahmanPublished in: Journal of inherited metabolic disease (2022)
Leigh syndrome is a rare inherited, complex, neurometabolic disorder with genetic and clinical heterogeneity. Features present in affected patients range from classical stepwise developmental regression to ataxia, seizures, tremor, and occasionally psychiatric manifestations. Currently, more than 100 monogenic causes of Leigh syndrome have been identified, yet, the pathophysiology remains unknown. Here, we sought to determine the cellular specificity within the brain of all genes currently associated with Leigh syndrome. Further, we aimed to investigate potential genetic commonalities between Leigh syndrome and other disorders with overlapping clinical features. Enrichment of our target genes within the brain was evaluated with co-expression (CoExp) network analyses constructed using existing UK Brain Expression Consortium data. To determine the cellular specificity of the Leigh associated genes, we employed expression weighted cell type enrichment (EWCE) analysis of single cell RNA-Seq data. Finally, CoExp network modules demonstrating enrichment of Leigh syndrome associated genes were then utilised for synaptic gene ontology analysis and heritability analysis. CoExp network analyses revealed that Leigh syndrome associated genes exhibit the highest levels of expression in brain regions most affected on MRI in affected patients. EWCE revealed significant enrichment of target genes in hippocampal and somatosensory pyramidal neurons and interneurons of the brain. Analysis of CoExp modules enriched with our target genes revealed preferential association with pre-synaptic structures. Heritability studies suggested some common enrichment between Leigh syndrome and Parkinson disease and epilepsy. Our findings suggest a primary mitochondrial dysfunction as the underlying basis of Leigh syndrome with associated genes primarily expressed in neuronal cells. This article is protected by copyright. All rights reserved.
Keyphrases
- single cell
- genome wide
- rna seq
- parkinson disease
- genome wide identification
- end stage renal disease
- case report
- bioinformatics analysis
- white matter
- poor prognosis
- chronic kidney disease
- dna methylation
- genome wide analysis
- ejection fraction
- copy number
- multiple sclerosis
- newly diagnosed
- deep brain stimulation
- cell proliferation
- oxidative stress
- transcription factor
- peritoneal dialysis
- artificial intelligence
- wastewater treatment
- blood brain barrier
- mass spectrometry
- risk assessment
- spinal cord injury
- computed tomography
- electronic health record
- patient reported outcomes
- spinal cord
- climate change
- binding protein
- data analysis
- diffusion weighted imaging
- functional connectivity