Evidence map›Paper›PMID 34661190›Full record

ArticleCell reports methods2021

Tools for efficient analysis of neurons in a 3D reference atlas of whole mouse spinal cord.

Felix Fiederling, Luke A Hammond, David Ng, Carol Mason, Jane Dodd

Open access · goldAbstract read
In one paragraph

Article in Cell reports methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.2field-weighted citation impact, top 11% of its field
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

13 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  8. Spinal cord morphology and PKD2L1Frontiers in neuroanatomy · 2025
    Article
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  12. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Felix FiederlingDepartments of Physiology & Cellular Biophysics, and Neuroscience, Zuckerman Institute, Columbia University, New York, NY 10027, USA.
Luke A HammondZuckerman Institute, Columbia University, New York, NY 10027, USA.
David NgZuckerman Institute, Columbia University, New York, NY 10027, USA.
Carol MasonDepartment of Pathology and Cell Biology, Neuroscience, and Ophthalmology, Zuckerman Institute, Columbia University, New York, NY 10027, USA.
Jane DoddDepartments of Physiology & Cellular Biophysics, and Neuroscience, Zuckerman Institute, Columbia University, New York, NY 10027, USA.
Columbia University · US

Funding

Modeling multi-area dynamics during motor controlU19NS104649 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ABBOTT, LAURENCE F. · 2017 to 2021
$15.3M
Linking the molecular logic of sensory neuron diversity and somatosensory circuitry in mouse spinal cord: development of novel tools for viral tracing and 3D analysisR21NS120665 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DODD, JANE, MASON, CAROL A. · 2021 to 2022
$446k
NINDS NIH HHS R21 NS120665NINDS NIH HHS U19 NS104649
6 · The paper itself

Abstract

To fill the prevailing gap in methodology for whole spinal cord (SC) analysis, we have (1) designed scaffolds (SpineRacks) that facilitate efficient and ordered cryo-sectioning of the entire SC in a single block, (2) constructed a 3D reference atlas of adult mouse SC, and (3) developed software (SpinalJ) to register images of sections and for standardized analysis of cells and projections in atlas space. We have verified mapping accuracies for known neurons and demonstrated the usefulness of this platform to reveal unknown neuronal distributions. Together, these tools provide high-throughput analyses of whole mouse SC and enable direct comparison of 3D spatial information between animals and studies.

Indexed as

NeuronsSoftwareAnimalsMiceNerve NetSpinal Cord

Identifiers

PMID34661190
PMCPMC8516137
OpenAlexW3199305089

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.