This manuscript used two complementary single-cell RNA-sequencing approaches, SMART-seq and 10x, to profile ∼1.2 million cells covering all regions in the adult mouse isocortex and hippocampal formation and derived a hierarchical cell type taxonomy comprising 379 transcriptomic types.
Taxonomy Name: 20210616_Adult_Mouse_Cortex-Hippocampus_SMARTseq
Taxonomy Description: Mouse Isocortex & Hippocampal Formation Taxonomy
Species: Mouse
Version: 1.0.0
CCN Number: CCN202106160
AIT Number: 5.1_CTX_HPF
Download the Allen Institute Taxonomy (AIT) file in .h5ad format from AWS s3 - 10X data & SMART-seq data
A taxonomy of transcriptomic cell types across the isocortex and hippocampal formation
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View the clustering & analysis code on GitHub

A high-resolution transcriptomic atlas of cell types in the aging mouse brain
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.
The Developing Mouse - Visual Cortex taxonomy is derived from a single cell transcriptomic dataset containing568,654 cells from donors ranging in age from embryonic to adult. The cell-type assignment is a four-level taxonomy defining 15 classes, 40 subclasses, 148clusters and 714 subclusters. This cell-type assignment is broadly consistent with those from the previous studies from the Allen Institute for Brain Science, Whole Mouse Brain (WMB) and the Broad Institute whole mouse brain taxonomy at the subclass level while providing finer cell-type and temporal resolutions with additional subcluster annotations.
Taxonomy Name: 20260131_Developing_Mouse_VIS_10X
Taxonomy Description: Developing Mouse - Visual Cortex
Species: Mouse
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Continuous cell type diversification in mouse visual cortex 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.
The Consensus, Whole Mouse Brain (WMB) integrated taxonomy is built upon two publicly released transcriptionally defined WMB taxonomies: one derived from single-cell RNA sequencing (scRNA-seq) data and the other from single-nucleus RNA sequencing (snRNA-seq) data. The Allen Institute for Brain Science (AIBS) taxonomy, based on over 4 million scRNA-seq profiles, defines 5,322 clusters organized hierarchically into 34 classes, 338 subclasses, and 1,201 supertypes. The set of data products for this release can be found here. In parallel, the Broad Institute taxonomy, constructed from 4.4 million snRNA-seq profiles, defines 16 classes, 223 metaclusters, and 5,030 clusters. Integrating these two large-scale taxonomies into a unified framework represents a natural and impactful next step, enabling a consensus view of cell types across the entire mouse brain and benefiting the broader neuroscience community.
To generate this consensus taxonomy, we applied the AIBS Quality Control (QC) and post-integration QC pipelines, retaining 7,651,713 cells and nuclei. Integration of scRNA-seq and snRNA-seq data was performed using scVI, with subsampling by original clusters to mitigate sampling imbalance across cell types and brain regions, followed by projection of all remaining cells into a shared latent space. The same iterative clustering strategy used in the AIBS taxonomy was applied in a hierarchical manner—globally, at nine neighborhood levels, and across eight finer group levels. The resulting comprehensive taxonomy comprises a hierarchically arranged set of cell types with 9 neighborhoods, 43 classes, 414 subclasses, 1,386 supertypes, and 6,721 clusters. A detailed cell type annotation table accompanies the taxonomy, including hierarchical membership, anatomical localization, and neurotransmitter identity. All associated metadata is publicly available as an AWS Public Dataset hosted on Amazon S3 and through the Allen Brain Cell Atlass Access (abc_atlas_access) package.
Taxonomy Name: 20251030_BICCN-Adult_Mouse_WholeBrain_consensus
Taxonomy Description: 2025 Whole Mouse Brain sc/snRNAseq consensus taxonomy
Species: Mouse
Version: 1.0.0
CCN Number: CCN202510310
AIT Number: 33.0
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