Cargando…
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...
Autores principales: | , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1785026042980728832 |
---|---|
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. |
format | Online Article Text |
id | pubmed-10104466 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT leeandrewj characterizationofalteredmolecularmechanismsinparkinsonsdiseasethroughcelltyperesolvedmultiomicsanalyses AT kimchangyoun characterizationofalteredmolecularmechanismsinparkinsonsdiseasethroughcelltyperesolvedmultiomicsanalyses AT parkseongwan characterizationofalteredmolecularmechanismsinparkinsonsdiseasethroughcelltyperesolvedmultiomicsanalyses AT joojaegeon characterizationofalteredmolecularmechanismsinparkinsonsdiseasethroughcelltyperesolvedmultiomicsanalyses AT choibaekgyu characterizationofalteredmolecularmechanismsinparkinsonsdiseasethroughcelltyperesolvedmultiomicsanalyses AT yangdongchan characterizationofalteredmolecularmechanismsinparkinsonsdiseasethroughcelltyperesolvedmultiomicsanalyses AT junkyoungho characterizationofalteredmolecularmechanismsinparkinsonsdiseasethroughcelltyperesolvedmultiomicsanalyses AT eomjunghyun characterizationofalteredmolecularmechanismsinparkinsonsdiseasethroughcelltyperesolvedmultiomicsanalyses AT leeseungjae characterizationofalteredmolecularmechanismsinparkinsonsdiseasethroughcelltyperesolvedmultiomicsanalyses AT chungsunju characterizationofalteredmolecularmechanismsinparkinsonsdiseasethroughcelltyperesolvedmultiomicsanalyses AT rissmanroberta characterizationofalteredmolecularmechanismsinparkinsonsdiseasethroughcelltyperesolvedmultiomicsanalyses AT chungjongkyeong characterizationofalteredmolecularmechanismsinparkinsonsdiseasethroughcelltyperesolvedmultiomicsanalyses AT masliaheliezer characterizationofalteredmolecularmechanismsinparkinsonsdiseasethroughcelltyperesolvedmultiomicsanalyses AT junginkyung characterizationofalteredmolecularmechanismsinparkinsonsdiseasethroughcelltyperesolvedmultiomicsanalyses |