The Mouse Aging dataset (Jin et al. 2025) 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(2 months) and aged (18 months) 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, Yao et al. 2023) to provide class, subclass and supertype annotations; the young adult mouse portion of the dataset is a subset of the whole mouse brain data set.
Taxonomy Name: 20241130_Aging_Mouse_WholeBrain_10X
Taxonomy Description: Aging Mouse Brain Taxonomy
Species: Mouse
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Brain-wide cell-type-specific transcriptomic signatures of healthy ageing in mice
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A taxonomy of the mouse visual cortex cell types spanning development.
An integrated taxonomy of the whole mouse brain built upon two publicly released transcriptionally defined WMB taxonomies from Allen Institute for Brain Science and Broad Institute.
A taxonomy of the mouse visual and anterior lateral motor cortex
