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Single-cell DNA methylome and 3D multi-omic atlas of the adult mouse brain.

Authors :
Liu H
Zeng Q
Zhou J
Bartlett A
Wang BA
Berube P
Tian W
Kenworthy M
Altshul J
Nery JR
Chen H
Castanon RG
Zu S
Li YE
Lucero J
Osteen JK
Pinto-Duarte A
Lee J
Rink J
Cho S
Emerson N
Nunn M
O'Connor C
Wu Z
Stoica I
Yao Z
Smith KA
Tasic B
Luo C
Dixon JR
Zeng H
Ren B
Behrens MM
Ecker JR
Source :
Nature [Nature] 2023 Dec; Vol. 624 (7991), pp. 366-377. Date of Electronic Publication: 2023 Dec 13.
Publication Year :
2023

Abstract

Cytosine DNA methylation is essential in brain development and is implicated in various neurological disorders. Understanding DNA methylation diversity across the entire brain in a spatial context is fundamental for a complete molecular atlas of brain cell types and their gene regulatory landscapes. Here we used single-nucleus methylome sequencing (snmC-seq3) and multi-omic sequencing (snm3C-seq) <superscript>1</superscript> technologies to generate 301,626 methylomes and 176,003 chromatin conformation-methylome joint profiles from 117 dissected regions throughout the adult mouse brain. Using iterative clustering and integrating with companion whole-brain transcriptome and chromatin accessibility datasets, we constructed a methylation-based cell taxonomy with 4,673 cell groups and 274 cross-modality-annotated subclasses. We identified 2.6 million differentially methylated regions across the genome that represent potential gene regulation elements. Notably, we observed spatial cytosine methylation patterns on both genes and regulatory elements in cell types within and across brain regions. Brain-wide spatial transcriptomics data validated the association of spatial epigenetic diversity with transcription and improved the anatomical mapping of our epigenetic datasets. Furthermore, chromatin conformation diversities occurred in important neuronal genes and were highly associated with DNA methylation and transcription changes. Brain-wide cell-type comparisons enabled the construction of regulatory networks that incorporate transcription factors, regulatory elements and their potential downstream gene targets. Finally, intragenic DNA methylation and chromatin conformation patterns predicted alternative gene isoform expression observed in a whole-brain SMART-seq <superscript>2</superscript> dataset. Our study establishes a brain-wide, single-cell DNA methylome and 3D multi-omic atlas and provides a valuable resource for comprehending the cellular-spatial and regulatory genome diversity of the mouse brain.<br /> (© 2023. The Author(s).)

Details

Language :
English
ISSN :
1476-4687
Volume :
624
Issue :
7991
Database :
MEDLINE
Journal :
Nature
Publication Type :
Academic Journal
Accession number :
38092913
Full Text :
https://doi.org/10.1038/s41586-023-06805-y