Evidence map›Paper›PMID 42331798›Full record

ArticleNature communications2026

Cluster replicability in single-cell and single-nucleus atlases of the mouse brain.

Leon French, Hamsini Suresh, Jesse Gillis

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Leon FrenchDepartment of Physiology and Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-9409-4583
Hamsini SureshDepartment of Physiology and Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0001-9133-1929
Jesse GillisDepartment of Physiology and Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, Canada. jesse.gillis@utoronto.ca.ORCID http://orcid.org/0000-0002-0936-9774

Funding

Scalable Molecular Pipelines for FAIR and Reusable BICAN Molecular DataU24MH130968 · NIMH · BROAD INSTITUTE, INC. · PI TIMOTHY L TICKLE, Owen R White · 2022 to 2026
$8.3M
Revealing the transcriptomic basis of neuronal identity through functional meta-analysisR01MH113005 · NIMH · COLD SPRING HARBOR LABORATORY · PI GILLIS, JESSE · 2017 to 2021
$2.4M
Revealing the transcriptional basis of corticothalamic projections using in situ sequence-based neuroanatomyR01MH133181 · NIMH · ALLEN INSTITUTE · PI XIAOYIN CHEN · 2024 to 2026
$1.8M
NIMH NIH HHS R01 MH113005NIMH NIH HHS R01 MH133181NIMH NIH HHS U24 MH130968U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH113005U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH133181U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) U24MH130968
6 · The paper itself

Abstract

Single-cell RNA sequencing has advanced our understanding of cellular heterogeneity. Ensuring the replicability of identified cell clusters across studies is essential for determining their biological robustness. We assess the replicability of cell clusters identified in two large mouse brain atlases, one generated using single-cell RNA sequencing and the other with single nuclei. Both profile over 4 million cells and group them into over 5,000 clusters. Using transcriptome-wide neighbor voting, we identify 2,009 reciprocally matched cluster pairs with consistent spatial localization and coordinated gene expression, which were also observed in datasets from multiple species. Reciprocal clusters are enriched in the cerebellum, where lower diversity aids replicability, while the hypothalamus's heterogeneity limits agreement. Distinguishing close clusters is much more challenging than differentiating a cluster from most others, especially when using marker genes. By incorporating replicability data, we provide a stronger foundation for investigating the atlas-defined clusters and their biological meaning.

Indexed as

BrainCell NucleusSingle-Cell AnalysisAnimalsCluster AnalysisGene Expression ProfilingMiceSequence Analysis, RNASingle-Cell Gene Expression AnalysisTranscriptome

Identifiers

PMID42331798
PMCPMC13444128

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.