Characterization of altered molecular mechanisms in Parkinson’s disease through cell type–resolved multiomics analyses

Author:

Lee Andrew J.1ORCID,Kim Changyoun2ORCID,Park Seongwan1ORCID,Joo Jaegeon1ORCID,Choi Baekgyu1ORCID,Yang Dongchan1ORCID,Jun Kyoungho3ORCID,Eom Junghyun1ORCID,Lee Seung-Jae45ORCID,Chung Sun Ju6,Rissman Robert A.7ORCID,Chung Jongkyeong3ORCID,Masliah Eliezer2ORCID,Jung Inkyung1ORCID

Affiliation:

1. Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea.

2. Molecular Neuropathology Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892, USA.

3. School of Biological Sciences and Institute of Molecular Biology and Genetics, Seoul National University, Seoul 08826, Republic of Korea.

4. Department of Biomedical Sciences, Department of Medicine, Neuroscience Research Institute, Convergence Research Center for Dementia, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.

5. Neuramedy Co. Ltd., Seoul 04796, Republic of Korea.

6. Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.

7. Department Neurosciences, School of Medicine, University of California, San Diego, La Jolla, CA 92093, USA.

Abstract

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.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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