Evidence map›Paper›PMID 41676636›Full record

ArticlebioRxiv : the preprint server for biology2026

A consensus spinal cord cell type atlas across mouse, macaque, and human.

Matthew T Schmitz, Nelson J Johansen, Niklas Kempynck, Inkar Kapen, Yuanyuan Fu, Madeleine Hewitt, Stephanie C Seeman, Emily Kussick, Olivia Gautier, Michael J Leone and 60 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

70 authors.

Matthew T SchmitzAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0002-6177-8161
Nelson J JohansenAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0002-4436-969X
Niklas KempynckLaboratory of Computational Biology, VIB Center for AI & Computational Biology, Leuven, Belgium.ORCID 0000-0002-0104-4844
Inkar KapenAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0009-0007-0159-0590
Yuanyuan FuAllen Institute for Brain Science; Seattle, WA, 98109.
Madeleine HewittAllen Institute for Brain Science; Seattle, WA, 98109.
Stephanie C SeemanAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0003-3894-1992
Emily KussickAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0001-7885-3116
Olivia GautierDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Michael J LeoneComputational Biology Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Song-Lin DingAllen Institute for Brain Science; Seattle, WA, 98109.
Yuan GaoAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0002-6365-7646
Ashwin BhandiwadAllen Institute for Brain Science; Seattle, WA, 98109.
Jeanelle ArizaAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0002-0829-7887
Angela AyalaAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0009-0002-8512-6851
Stuard BartaAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0001-7180-3466
Jacob A BlumDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Liliana Cano-GomezDepartment of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0001-5869-4402
Trangthanh CardenasAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0002-4738-5062
Anish Bhaswanth ChakkaAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0002-1095-1817
Nasmil Valera CuevasAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0002-9846-3796
Nicholas DonadioAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0002-6250-1148
Katherine A FancherAllen Institute for Brain Science; Seattle, WA, 98109.
Emma D ThomasAllen Institute for Brain Science; Seattle, WA, 98109.
Rebecca FerrerAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0003-4775-1285
Jeff GoldyAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0001-5140-6922
Samantha D HastingsAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0009-0008-9107-8597
Daniel HirschsteinAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0009-0001-5839-6023
Windy HoAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0001-6200-9906
Cindy HuangAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0009-0002-5386-6345
Zoe C JuneauAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0002-8860-5260
Sa Rang KimAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0009-0004-2049-5677
Zachary R LewisAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0003-0160-4722
Elizabeth LiangAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0009-0000-1781-6784
Naomi X MartinAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0002-0034-1628
Josh NagraAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0009-0005-3746-0240
Dakota NewmanAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0002-3835-0853
Myung-Chul NohDepartment of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.ORCID 0009-0009-9735-1942
Paul OlsenAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0001-8132-3722
Alana OyamaAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0002-4492-0533
Nick PenaAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0009-0008-8481-332X
Helen PoldsamDepartment of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0009-0008-0390-2620
Patrick L RayAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0002-5260-9315
Melissa RedingAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0001-9845-1827
Christine RimorinAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0003-1491-8552
Augustin RuizAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0002-8361-5152
Nadiya V ShapovalovaAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0002-8618-8272
Lyudmila ShulgaAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0009-0002-9785-328X
Cassandra SobieskiAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0009-0001-6194-5513
Amy TorkelsonAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0002-9465-4202
Morgan WirthlinAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0001-7967-7070
Shenqin YaoAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0003-2992-4752
Helen LaiDepartment of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0003-4334-0243
Andreas PfenningComputational Biology Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA.ORCID 0000-0002-3447-9801
Allan-Hermann PoolDepartment of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0002-0811-9861
Rebecca SealDepartment of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.ORCID 0000-0003-4955-703X
Bosiljka TasicAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0002-6861-4506
Jonathan T TingAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0001-8266-0392
Jack WatersAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0002-2312-4183
Zizhen YaoAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0002-9361-5607
Aaron D GitlerDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0001-8603-1526
Delissa McMillenAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0002-3413-4424
Lydia NgAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0002-7499-3514
Hongkui ZengAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0002-0326-5878
Cindy T J van VelthovenAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0001-5120-4546
Tanya L DaigleAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0001-9700-8452
Kimberly A SmithAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0002-3142-1970
Rebecca D HodgeAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0002-5784-9668
Ed S LeinAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0001-9012-6552
Trygve E BakkenAllen Institute for Brain Science; Seattle, WA, 98109.ORCID 0000-0003-3373-7386

Funding

Functionally guided adult whole brain cell atlas in human and NHPUM1MH130981 · NIMH · ALLEN INSTITUTE · PI Ed Lein, Hongkui Zeng · 2022 to 2026
$91.9M
An extensible brain knowledge base and toolset spanning modalities for multi-species data-driven cell typesU24MH130918 · NIMH · ALLEN INSTITUTE · PI Satrajit Sujit Ghosh, Michael Hawrylycz · 2022 to 2026
$10.0M
A Community Resource for Single Cell Data in the BrainU24MH130919 · NIMH · ALLEN INSTITUTE · PI Michael Hawrylycz, Carol Lynn Thompson · 2022 to 2026
$9.9M
NIMH NIH HHS U24 MH130918NIMH NIH HHS U24 MH130919NIMH NIH HHS UM1 MH130981
6 · The paper itself

Abstract

The spinal cord contains evolutionarily conserved cell types critical for motor function, sensory processing, and autonomic regulation, many of which are implicated in diverse neurological diseases and injuries. Yet the field lacks a comprehensive molecular characterization of cellular diversity in human, macaque, and mouse spinal cord. Here, we present a unified, cross-species cell type atlas based on the integration of single-nucleus gene expression, chromatin accessibility, and spatial transcriptomic data from segments within cervical, thoracic, lumbar, and sacral regions, including motor neurons (MNs) sampled across the entire rostro-caudal axis of the macaque spinal cord. Leveraging the spatial distributions of our molecularly defined cell types, we generated a cell type-guided anatomical map of spinal cord laminae and nuclei. We identified both conserved and species-specific cellular features, including gene expression patterns across distinct MN subtypes in the primate spinal cord. Cross-species cis-regulatory analysis and deep learning sequence models dissected the enhancer logic underlying viral targeting, uncovering conserved transcription factor grammar encoding cellular identity. Together, these results establish a unifying molecular and anatomical taxonomy of spinal cord cell types across species.

Indexed as

ATAC-seqevolutionPrimateRNA-seqrodentspatial transcriptomicsspinal cord

Identifiers

PMID41676636
PMCPMC12889617

What OpenQuestion holds

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LicenceCC BY-NC
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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.