Evidence map›Paper›PMID 34841273›Full record

ArticleSTAR protocols2021

SpineRacks and SpinalJ for efficient analysis of neurons in a 3D reference atlas of the mouse spinal cord.

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

Open access · goldAbstract read
In one paragraph

Article in STAR protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Spinal circuits encode a map of the trunk to control skin twitches.bioRxiv : the preprint server for biology · 2026
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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

5 authors at 1 institution in 1 country.

Felix FiederlingZuckerman 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 MasonZuckerman Institute, Columbia University, New York, NY 10027, USA.
Jane DoddZuckerman 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

Spatial analysis of spinal neurons is currently limited by a lack of tools for efficient preparation and imaging of the whole spinal cord (SC) and the absence of a 3D reference atlas. Here, we describe protocols for efficient sectioning of whole SC using SpineRacks and subsequent image registration, atlas mapping, and 3D analysis of cells and projections, using SpinalJ. Together, these tools enable high-throughput analyses of adult mouse SC and direct comparison of spatial information of neurons between animals and studies. For complete details on the use and execution of this protocol, please refer to Fiederling et al. (2021).

Indexed as

SoftwareSpinal CordAnimalsAtlases as TopicCryoultramicrotomyFemaleHistological TechniquesImaging, Three-DimensionalMaleMiceMice, Inbred C57BLNeuronsDevelopmental biologyMicroscopyModel OrganismsNeuroscience

Identifiers

PMID34841273
PMCPMC8605391
OpenAlexW3211966629

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.