Zeng Aging Mouse clustering and mapping to the WMB taxonomy of cell types#

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. 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.

The associated metadata is hosted on AWS S3 bucket as a AWS Public Dataset:

Component

Current Version

Size

Metadata

s3://allen-brain-cell-atlas/metadata/Zeng-Aging-Mouse-WMB-taxonomy/20241130

286 MB

Data is being share under the CC BY NC 4.0 license.

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Associated notebooks: