bioRxivGenomicsPreprint
Dissecting the molecular landscape of Parkinson's disease and Parkinson's disease dementia using highly efficient snRNA-seq (HIF-snRNA-seq)
Sung-Ung KangiD, Jinhee ParkiD, Shinwon Ha, Dongsan KimiD, Olga PletnikováiD, Javier Redding‐OchoaiD, Juan Carlos TroncosoiD, Quan Peng, Beth O. Van Emburgh, Jaldhir Trivedi, Saurav BrahmachariiD, Bardia Nezami, Valina Lynn DawsoniD, Ted M. DawsoniD
Abstract
This study presents a transcriptomic analysis of the cingulate cortex (CING) in Parkinsons disease (PD) and Parkinsons disease dementia (PDD) using a High-efficiency single-nucleus RNA sequencing (HiF-snRNA-seq) protocol optimized for post-mortem brain samples. RNA quality prediction, poly-A tailing, and dCas9-targeted depletion enabled analysis of 77 high-quality samples from 240 cases, yielding over 2 million nuclei classified into seven major cell types. Disease conditions revealed altered astrocyte and microglia proportions, implicating their roles in neuroinflammation. Differential expression analysis identified unique and shared genes across PD and PDD, linked to synaptic remodeling, stress responses, and inflammation. Stage-specific analysis uncovered tau-dependent early-stage genes and inflammation-associated late-stage genes. This study highlights the CINGs central role in PD and PDD pathophysiology, offering insights into disease mechanisms and identifying candidate genes and pathways for therapeutic and biomarker development.
- organism: human
- assay: snRNA-seq
- research focus: differential expression
- research focus: cell type annotation
- research focus: gene regulatory network inference
- approach: statistical model
- approach: experimental assay
- Citations
- 1
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