Methylation profiling

Dataset Information

0

Single-cell multi-omic and multi-region atlas of the Aging Mouse Brain


ABSTRACT: Aging is the primary risk factor for many neurodegenerative diseases, primarily attributed to progressive changes in cellular epigenomes. Despite this known association, the complexity of the mammalian brain complicates the identification of brain regions and cell types that are most susceptible to aging effects. While alterations in gene expression have been observed in aging neural cells, comprehension of the epigenetic regulatory mechanisms underlying the transcriptomic changes remains largely elusive. To unveil these complexities in a comprehensive manner, we utilized single-nucleus methylome sequencing (snmC-seq3) and multi-omic sequencing (snm3C-seq) to produce extensive datasets comprising 132,551 methylomes and 72,666 chromatin conformation-methylome joint profiles from eight distinct brain regions of C57BL/6J mice aged 2, 9, and 18 months. These regions include the anterior hippocampus (AHC), posterior hippocampus (PHC), frontal cortex (FC), amygdala (AMY), nucleus accumbens (NACB), PAG/PCG, entorhinal cortex (ENT), and caudate putamen (CP). We utilized this dataset to investigate age-related changes in DNA methylomes and transcription factor motifs potentially affected by methylation alterations. We also examined methylation changes in transposable elements, observing locus-specific retrotransposon activation. At the chromatin conformation level, we analyzed aging-related changes in compartmentalization, topologically associating domains (TADs), and chromatin loops. Furthermore, we explored regional heterogeneity during aging within identical cell types and validated our findings using the MERFISH dataset.

ORGANISM(S): Mus musculus

PROVIDER: GSE292803 | GEO | 2025/04/30

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2018-07-12 | PXD009212 | Pride
2018-07-03 | PXD009792 | Pride
2017-03-28 | MSV000080710 | MassIVE
2016-04-13 | PXD001987 | Pride
2008-10-26 | E-GEOD-11882 | biostudies-arrayexpress
2022-01-14 | E-PROT-75 | ExpressionAtlas
2021-09-08 | PXD013146 | Pride
2025-05-03 | GSE271564 | GEO
2025-05-01 | GSE271563 | GEO
2023-10-20 | PXD041485 | JPOST Repository