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

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 obtai...

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Autores principales: Lee, Andrew J., Kim, Changyoun, Park, Seongwan, Joo, Jaegeon, Choi, Baekgyu, Yang, Dongchan, Jun, Kyoungho, Eom, Junghyun, Lee, Seung-Jae, Chung, Sun Ju, Rissman, Robert A., Chung, Jongkyeong, Masliah, Eliezer, Jung, Inkyung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104466/
https://www.ncbi.nlm.nih.gov/pubmed/37058563
http://dx.doi.org/10.1126/sciadv.abo2467
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author Lee, Andrew J.
Kim, Changyoun
Park, Seongwan
Joo, Jaegeon
Choi, Baekgyu
Yang, Dongchan
Jun, Kyoungho
Eom, Junghyun
Lee, Seung-Jae
Chung, Sun Ju
Rissman, Robert A.
Chung, Jongkyeong
Masliah, Eliezer
Jung, Inkyung
author_facet Lee, Andrew J.
Kim, Changyoun
Park, Seongwan
Joo, Jaegeon
Choi, Baekgyu
Yang, Dongchan
Jun, Kyoungho
Eom, Junghyun
Lee, Seung-Jae
Chung, Sun Ju
Rissman, Robert A.
Chung, Jongkyeong
Masliah, Eliezer
Jung, Inkyung
author_sort Lee, Andrew J.
collection PubMed
description 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.
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spelling pubmed-101044662023-04-15 Characterization of altered molecular mechanisms in Parkinson’s disease through cell type–resolved multiomics analyses Lee, Andrew J. Kim, Changyoun Park, Seongwan Joo, Jaegeon Choi, Baekgyu Yang, Dongchan Jun, Kyoungho Eom, Junghyun Lee, Seung-Jae Chung, Sun Ju Rissman, Robert A. Chung, Jongkyeong Masliah, Eliezer Jung, Inkyung Sci Adv Neuroscience 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. American Association for the Advancement of Science 2023-04-14 /pmc/articles/PMC10104466/ /pubmed/37058563 http://dx.doi.org/10.1126/sciadv.abo2467 Text en Copyright © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Neuroscience
Lee, Andrew J.
Kim, Changyoun
Park, Seongwan
Joo, Jaegeon
Choi, Baekgyu
Yang, Dongchan
Jun, Kyoungho
Eom, Junghyun
Lee, Seung-Jae
Chung, Sun Ju
Rissman, Robert A.
Chung, Jongkyeong
Masliah, Eliezer
Jung, Inkyung
Characterization of altered molecular mechanisms in Parkinson’s disease through cell type–resolved multiomics analyses
title Characterization of altered molecular mechanisms in Parkinson’s disease through cell type–resolved multiomics analyses
title_full Characterization of altered molecular mechanisms in Parkinson’s disease through cell type–resolved multiomics analyses
title_fullStr Characterization of altered molecular mechanisms in Parkinson’s disease through cell type–resolved multiomics analyses
title_full_unstemmed Characterization of altered molecular mechanisms in Parkinson’s disease through cell type–resolved multiomics analyses
title_short Characterization of altered molecular mechanisms in Parkinson’s disease through cell type–resolved multiomics analyses
title_sort characterization of altered molecular mechanisms in parkinson’s disease through cell type–resolved multiomics analyses
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104466/
https://www.ncbi.nlm.nih.gov/pubmed/37058563
http://dx.doi.org/10.1126/sciadv.abo2467
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