Zeng Aging Mouse 10Xv3 single cell transcriptomes#
The Mouse Aging dataset [Jin et al] is a comprehensive single-cell RNA sequencing (scRNA-seq) dataset containing ~1.2 million high-quality single-cell transcriptomes of brain cells from young adult and aged mice of both sexes, from regions spanning the forebrain, midbrain, and hindbrain.
The adult mouse portion of the dataset is a subset of the Whole Mouse Brain Data.
The expression matrices and associated metadata is hosted on AWS S3 bucket as a AWS Public Dataset:
Component |
Current Version |
Size |
|---|---|---|
Expression Matrices |
s3://allen-brain-cell-atlas/expression_matrices/Zeng-Aging-Mouse-10Xv3/20241130 |
26 GB |
Cell and gene metadata |
s3://allen-brain-cell-atlas/metadata/Zeng-Aging-Mouse-10Xv3/20241130 |
702 MB |
Data is being share under the CC BY NC 4.0 license.
Related resources :
847 clusters that are mappped into Whole Mouse Brain Taxonomy Zeng Aging Mouse Taxonomy)
Associated notebooks:
Getting started: Learn how to use the AbcProjectCache to facilitate data download and usage.
10x scRNA-seq clustering analysis and annotation: Learn the aging mouse dataset metadata through some example use cases and visualization.
10x scRNA-seq gene expression and ageDE genes: Learn about the aging mouse gene expression and age differential expression genes through some example use cases and visualization.