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The cell type composition of the adult mouse brain revealed by single cell and spatial genomics

Jonah LangliebiD, Nina SachdeviD, Karol S. BalderramaiD, Naeem M. NadafiD, Mukund RajiD, Evan M. MurrayiD, James T. WebberiD, Charles R. VanderburgiD, Vahid GazestaniiD, Daniel Jacob TwardiD, Christopher MeziasiD, Xu LiiD, Dylan M. CableiD, Tabitha Norton, Partha P. MitraiD, Fei CheniD, Evan Z. MacoskoiD

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Abstract

The function of the mammalian brain relies upon the specification and spatial positioning of diversely specialized cell types. Yet, the molecular identities of the cell types, and their positions within individual anatomical structures, remain incompletely known. To construct a comprehensive atlas of cell types in each brain structure, we paired high-throughput single-nucleus RNA-seq with Slide-seq-a recently developed spatial transcriptomics method with near-cellular resolution-across the entire mouse brain. Integration of these datasets revealed the cell type composition of each neuroanatomical structure. Cell type diversity was found to be remarkably high in the midbrain, hindbrain, and hypothalamus, with most clusters requiring a combination of at least three discrete gene expression markers to uniquely define them. Using these data, we developed a framework for genetically accessing each cell type, comprehensively characterized neuropeptide and neurotransmitter signaling, elucidated region-specific specializations in activity-regulated gene expression, and ascertained the heritability enrichment of neurological and psychiatric phenotypes. These data, available as an online resource (BrainCellData.org) should find diverse applications across neuroscience, including the construction of new genetic tools, and the prioritization of specific cell types and circuits in the study of brain diseases.

02 /Specification & Classification

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Abstract summary

Verified abstract synthesis

Claude Opus 5.5 · xhigh effort · 18 Oct 2026 · from the abstract · CC BY-NC-ND 4.0

Whole-brain snRNA-seq paired with Slide-seq assigns cell types to each mouse neuroanatomical structure; most clusters need at least three markers to be defined uniquely.

Which molecular cell types exist in the mammalian brain, and where they sit inside individual anatomical structures, is still only partly charted. Pairing high-throughput single-nucleus RNA-seq with a spatial method of near-cellular resolution across the whole brain yields a per-structure composition atlas, released as a public resource.

Key results

  1. ShownIntegrating the dissociated and spatial datasets yields the cell type composition of each neuroanatomical structure, with cell type diversity described as remarkably high in the midbrain, hindbrain and hypothalamus, and most clusters not separable by any single marker gene.

    Pinning down most clusters took three or more distinct expression markers used together, rather than one or two; the abstract gives no nucleus, array, cluster or structure counts. · Abstract

  2. ClaimedThe atlas is used to propose a scheme for reaching each cell type genetically, and to survey neuropeptide and neurotransmitter signalling together with region-specific differences in activity-regulated gene expression.

    Three downstream analyses are listed as completed; the abstract names no genes, receptors, regions or effect sizes, and reports no experimental validation of the genetic-access scheme. · Abstract

  3. ClaimedHeritability for neurological and psychiatric phenotypes is reported to be enriched in particular cell types, offering a way to prioritise types and circuits in disease studies.

    Stated as an outcome of the resource; no phenotypes, enrichment statistics, significance thresholds or source genetic data are named in the abstract. · Abstract

Methods, data and reproducibility

High-throughput single-nucleus RNA-seq was combined with Slide-seq, a spatial transcriptomics method of near-cellular resolution, across the entire mouse brain. Integrating the two datasets placed transcriptomic clusters in neuroanatomical structures, and the result was used for marker selection, signalling and heritability analyses and published as an online resource.

  • single-nucleus RNA-seq covering the whole brain · mouse
  • Slide-seq spatial transcriptomics covering the whole brain · mouse
Methods & tools
single-nucleus RNA-seq, Slide-seq, BrainCellData.org
Data & accessions
https://braincelldata.org/
Reproducibility gaps
The atlas is said to be available through an online resource, but the abstract names no accession, repository deposit or code release.
Limitations (2)
  • No counts are given for nuclei, spatial arrays, clusters or anatomical structures, so the atlas's scale and the granularity of the composition estimates cannot be judged from this text. · noted in this summary
  • The genetic-access scheme, signalling survey and heritability enrichment are reported as outcomes without statistics or any independent validation, and everything rests on one species. · noted in this summary

Who should read:Read this if you need per-structure cell type composition in the mouse brain, choose marker combinations for genetic targeting, or map disease heritability onto brain cell types.

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