Cluster replicability in single-cell and single-nucleus atlases of the mouse brain
Leon French, Hamsini Suresh, Jesse Gillis · 2026
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Description
Leon French and colleagues test whether two giant mouse brain atlases name the same cell crowds in a 2026 study. Each atlas sorted more than 4 million cells into more than 5,000 clusters, one from whole cells and one from nuclei. Neighbor votes across full gene profiles checked which clusters match both ways.
A total of 2,009 cluster pairs matched in return, with shared map spots and gene tunes, also seen in other species' sets. Cerebellum clusters matched best, since that zone holds less cell variety. The hypothalamus, rich and varied, matched worst. Close twin clusters proved hardest to split, above all by marker genes alone. The authors add match grades so users can weigh atlas claims with care.
Catalog record
| CREATOR | Leon French, Hamsini Suresh, Jesse Gillis |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 72002 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |