Liu, Hanqing and Zeng, Qiurui and Zhou, Jingtian and Bartlett, Anna and Wang, Bang-An and Berube, Peter and Tian, Wei and Kenworthy, Mia and Altshul, Jordan and Nery, Joseph R. and Chen, Huaming and Castanon, Rosa G. and Zu, Songpeng and Li, Yang Eric and Lucero, Jacinta and Osteen, Julia K. and Pinto-Duarte, Antonio and Lee, Jasper and Rink, Jon and Cho, Silvia and Emerson, Nora and Nunn, Michael and O’Connor, Carolyn and Wu, Zhanghao and Stoica, Ion and Yao, Zizhen and Smith, Kimberly A. and Tasic, Bosiljka and Luo, Chongyuan and Dixon, Jesse R. and Zeng, Hongkui and Ren, Bing and Behrens, M. Margarita and Ecker, Joseph R. (2023) Single-cell DNA methylome and 3D multi-omic atlas of the adult mouse brain. Nature, 624 (7991). pp. 366-377. ISSN 0028-0836
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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)1 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-seq2 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.
Item Type: | Article |
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Subjects: | Article Paper Librarian > Geological Science |
Depositing User: | Unnamed user with email support@article.paperlibrarian.com |
Date Deposited: | 14 Dec 2023 10:49 |
Last Modified: | 14 Dec 2023 10:49 |
URI: | http://editor.journal7sub.com/id/eprint/2510 |