Single-cell DNA methylome and 3D multi-omic atlas of the adult mouse brain.
Hanqing LiuQiurui ZengJingtian ZhouAnna BartlettBang-An WangPeter BerubeWei TianMia KenworthyJordan AltshulJoseph R NeryHuaming ChenRosa Gomez CastanonSongpeng ZuYang Eric LiJacinta LuceroJulia K OsteenAntónio Pinto-DuarteJasper LeeJonathan A RinkSilvia ChoNora EmersonMichael NunnCarolyn O'ConnorZhanghao WuIon StoicaZizhen YaoKimberly A SmithBosiljka TasicChongyuan LuoJesse R DixonHongkui ZengBing RenM Margarita BehrensJoseph R EckerPublished in: Nature (2023)
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-seq 2 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.
Keyphrases
- single cell
- genome wide
- dna methylation
- rna seq
- transcription factor
- gene expression
- resting state
- white matter
- high throughput
- cerebral ischemia
- copy number
- functional connectivity
- dna damage
- magnetic resonance imaging
- molecular dynamics simulations
- multiple sclerosis
- magnetic resonance
- oxidative stress
- poor prognosis
- high resolution
- bone marrow
- single molecule
- cell free
- stem cells
- mass spectrometry
- high density
- risk assessment
- crystal structure