Characterization of altered molecular mechanisms in Parkinson's disease through cell type-resolved multiomics analyses.
Andrew J LeeChangyoun KimSeongwan ParkJaegeon JooBaekgyu ChoiDongchan YangKyoungho JunJunghyun EomSeung-Jae LeeSun Ju ChungRobert A RissmanJongkyeong ChungEliezer MasliahInkyung JungPublished in: Science advances (2023)
Parkinson's disease (PD) is a progressive neurodegenerative disorder. However, cell type-dependent transcriptional regulatory programs responsible for PD pathogenesis remain elusive. Here, we establish transcriptomic and epigenomic landscapes of the substantia nigra by profiling 113,207 nuclei obtained from healthy controls and patients with PD. Our multiomics data integration provides cell type annotation of 128,724 cis-regulatory elements (cREs) and uncovers cell type-specific dysregulations in cREs with a strong transcriptional influence on genes implicated in PD. The establishment of high-resolution three-dimensional chromatin contact maps identifies 656 target genes of dysregulated cREs and genetic risk loci, uncovering both potential and known PD risk genes. Notably, these candidate genes exhibit modular gene expression patterns with unique molecular signatures in distinct cell types, highlighting altered molecular mechanisms in dopaminergic neurons and glial cells including oligodendrocytes and microglia. Together, our single-cell transcriptome and epigenome reveal cell type-specific disruption in transcriptional regulations related to PD.
Keyphrases
- genome wide
- single cell
- gene expression
- dna methylation
- rna seq
- transcription factor
- high resolution
- multiple sclerosis
- copy number
- high throughput
- induced apoptosis
- public health
- spinal cord
- dna damage
- oxidative stress
- cell cycle arrest
- endoplasmic reticulum stress
- electronic health record
- climate change
- mesenchymal stem cells
- cell proliferation
- bioinformatics analysis
- genome wide analysis