Human brain taxonomy of cell types#

The data presented here from Siletti et al. 2023, consists of nuclei collect from over three million single cells (apprixmately two million neurons and one million non-neurons) from 100 locations across the forebrain, midbrain, and hindbrain. The integrated transcriptomic taxonomy contains 31 superclusters, 461 clusters, and 3313 subclusters.

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


Current Version


Cell taxonomy metadata


1.6 MB

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

Related resources :

  • Human brain single nucleus transcriptomes (WHB-10Xv3)

  • Clustering analysis of over 3 million single nucleus transcriptomes spanning the whole adult human brain (WHB-10X-clustering)

Associated notebooks:

  • Getting started: learn how to use the manifest.json file to facilitate data download and usage.

  • 10x snRNA-seq clustering analysis and annotation: learn about the whole human brain taxonomy through some example use cases and visualization.

  • Accessing 10X gene expression data: learn how to load individual genes from the 10X expression data.

  • 10x snRNA-seq gene expression data

    • Part 1: understand the basic structure of the data and metadata, and visualize brain region and cell type annotations in a UMAP.

    • Part 2: explore the whole brain data through visualization and analyses of a set of genes of interest.