# New abc\_atlas\_acces release with Aging Mouse Data

**URL:** https://community.brain-map.org/t/new-abc-atlas-acces-release-with-aging-mouse-data/4003
**Category:** Technical
**Tags:** atlas-mouse-brain-adult, software, celltype, rna-seq, how-to
**Created:** [December 18, 2024, 11:28pm UTC](https://community.brain-map.org/t/new-abc-atlas-acces-release-with-aging-mouse-data/4003 "2024-12-18T23:28:10Z")
**Posts on this page:** 1
**Page:** 1

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### Author: ![morriscb](https://yyz1.discourse-cdn.com/flex027/user_avatar/community.brain-map.org/morriscb/32/736_2.png) [@morriscb](https://community.brain-map.org/u/morriscb)
#### Post date: [December 18, 2024, 11:28pm UTC](https://community.brain-map.org/t/new-abc-atlas-acces-release-with-aging-mouse-data/4003/1 "2024-12-18T23:28:10Z")

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Hi everyone,

We’re happy to announce the release of the Aging Mouse dataset via the [abc\_atlas\_access](https://github.com/AllenInstitute/abc_atlas_access/) tool. A full release through the ABC Atlas visualization will be coming in the future.

This data release includes descriptions of the gene expression and taxonomy data. Additionally, we release two tutorial notebooks walking users through these two datasets and recreating key plots from the data. All of these can be found on the abc\_atlas\_access [github.io](http://github.io) page here: [Allen Brain Cell Atlas - Data Access — Allen Brain Cell Atlas - Data Access](https://alleninstitute.github.io/abc_atlas_access/intro.html)

Below is a brief description of the new data:

The Aging Mouse Dataset 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. High-resolution  
de novo clustering of all cells results in 847 cell clusters and reveals at  
least 14 age-biased clusters that are mostly glial types. Clusters in the study  
were mapped to the Whole Mouse Brain taxonomy (WMB-taxonomy) to provide class, subclass and supertype annotations. At the broader cell subclass and supertype levels, age-associated gene expression signatures were analyzed resulting in a list of 2,449 differentially expressed genes (age-DE genes) for many neuronal and non-neuronal cell types.