Aging Mouse Brain Epigenetic

bam cram epigenomics fastq genetic genomic life sciences neuroscience spatial transcriptomics transcriptomics whole exome sequencing whole genome sequencing

Description

Aging is a major risk factor for neurodegenerative diseases, yet underlying epigenetic mechanisms remain unclear. Here, we generated a comprehensive single-nucleus cell atlas of brain aging across multiple brain regions, comprising 132,551 single-cell methylomes and 72,666 joint chromatin conformation-methylome nuclei. Integration with companion transcriptomic and chromatin accessibility data yielded a cross-modality taxonomy of 36 major cell types. The bucket holds two parts of this atlas, from mice at 2, 9 and 18 months: (1) female-amb-sc-allc/, single-cell DNA methylation (ALLC) files for 77,001 female nuclei in 29 pools (pool_amb*/), one tabix-indexed .allc.tsv.gz file per nucleus (8.4 TB); (2) raw MERFISH spatial transcriptomics runs of brain slices, one .tar.gz archive per run (10 runs, 22.3 TB).

Update Frequency

Never

License

NCBI Policy and NIH Genomic Data Sharing Policy

Documentation

https://doi.org/10.1101/2025.04.21.648266

Managed By

Salk Institute

See all datasets managed by Salk Institute.

Contact

ecker@salk.edu

How to Cite

Aging Mouse Brain Epigenetic was accessed on DATE from https://registry.opendata.aws/salk-aging-mouse-brain-epigeneti.

Usage Examples

Publications

Resources on AWS

  • Description
    Aging mouse brain single-cell DNA methylation (ALLC) files and MERFISH spatial transcriptomics runs
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::salk-aging-mouse-brain-epigenetics
    AWS Region
    us-west-2
    AWS CLI Access (No AWS account required)
    aws s3 ls --no-sign-request s3://salk-aging-mouse-brain-epigenetics/
  • Description
    Dataset update notifications
    Resource type
    SNS Topic
    Amazon Resource Name (ARN)
    arn:aws:sns:us-west-2:855738613743:salk-aging-mouse-brain-epigenetics-object_created
    AWS Region
    us-west-2

Edit this dataset entry on GitHub

Tell us about your project

Home