Evidence map›Paper›PMID 34588430›Full record

ArticleNature communications2021

A harmonized atlas of mouse spinal cord cell types and their spatial organization.

Daniel E Russ, Ryan B Patterson Cross, Li Li, Stephanie C Koch, Kaya J E Matson, Archana Yadav, Mor R Alkaslasi, Dylan I Lee, Claire E Le Pichon, Vilas Menon and 1 more

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 160 papers.

0numbers the graph read from it
0cells of the map it votes in
160citing 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

160 citing papers in PubMed.

  1. Review
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  16. NaThe Journal of comparative neurology · 2026
    Article
  17. Modern Mining: The Role of Single-cell RNA Sequencing in Advancing Neuroscience Research.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Review
  18. Review
  19. Article
  20. Article

100 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Daniel E Russ *Division of Cancer Epidemiology and Genetics, Data Science Research Group, National Cancer Institute, NIH, Rockville, MD, USA.ORCID http://orcid.org/0000-0003-4040-4416
Ryan B Patterson Cross *Spinal Circuits and Plasticity Unit, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD, USA.
Li LiSpinal Circuits and Plasticity Unit, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD, USA.
Stephanie C KochDepartment of Neuroscience, Physiology and Pharmacology, Division of Biosciences, University College London, London, UK.ORCID http://orcid.org/0000-0002-7131-4141
Kaya J E MatsonSpinal Circuits and Plasticity Unit, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD, USA.
Archana YadavDepartment of Neurology, Center for Translational and Computational Neuroimmunology, Columbia University, New York, NY, USA.
Mor R AlkaslasiEunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Bethesda, MD, USA.ORCID http://orcid.org/0000-0001-6298-885X
Dylan I LeeDepartment of Neurology, Center for Translational and Computational Neuroimmunology, Columbia University, New York, NY, USA.ORCID http://orcid.org/0000-0002-0349-6131
Claire E Le PichonEunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Bethesda, MD, USA.ORCID http://orcid.org/0000-0002-9274-3615
Vilas MenonDepartment of Neurology, Center for Translational and Computational Neuroimmunology, Columbia University, New York, NY, USA.ORCID http://orcid.org/0000-0002-4096-8601
Ariel J LevineSpinal Circuits and Plasticity Unit, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD, USA. ariel.levine@nih.gov.ORCID http://orcid.org/0000-0002-0335-0730

Funding

Mechanisms of Plasticity in the Spinal CordZIANS003153 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI LEVINE, ARIEL · 2016 to 2025
$20.9M
Intramural NIH HHS ZIA NS003153
6 · The paper itself

Abstract

Single-cell RNA sequencing data can unveil the molecular diversity of cell types. Cell type atlases of the mouse spinal cord have been published in recent years but have not been integrated together. Here, we generate an atlas of spinal cell types based on single-cell transcriptomic data, unifying the available datasets into a common reference framework. We report a hierarchical structure of postnatal cell type relationships, with location providing the highest level of organization, then neurotransmitter status, family, and finally, dozens of refined populations. We validate a combinatorial marker code for each neuronal cell type and map their spatial distributions in the adult spinal cord. We also show complex lineage relationships among postnatal cell types. Additionally, we develop an open-source cell type classifier, SeqSeek, to facilitate the standardization of cell type identification. This work provides an integrated view of spinal cell types, their gene expression signatures, and their molecular organization.

Indexed as

TranscriptomeAnimalsAtlases as TopicCell NucleusDatasets as TopicMiceNeuronsRNA-SeqSingle-Cell AnalysisSpatial AnalysisSpinal Cord

Identifiers

PMID34588430
PMCPMC8481483

What OpenQuestion holds

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Read underepoch 390

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.