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Record W2734901170 · doi:10.1002/dvdy.24549

Loss of Dcc in the spinal cord is sufficient to cause a deficit in lateralized motor control and the switch to a hopping gait

2017· article· en· W2734901170 on OpenAlexafffund
Jimmy Peng, Julien Ferent, Qingyu Li, Mingwei Liu, Ronan Vinicius Da Silva, Hanns Ulrich Zeilhofer, Artur Kania, Ying Zhang, Frédéric Charron

Bibliographic record

VenueDevelopmental Dynamics · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDevelopmental Biology and Gene Regulation
Canadian institutionsDalhousie UniversityMcGill UniversityUniversité de MontréalMontreal Clinical Research Institute
FundersFonds de Recherche du Québec - SantéNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchCanada Foundation for Innovation
KeywordsSpinal cordNeuroscienceBiologyAnatomyAxon guidanceHindlimbGaitAxonPhysiology

Abstract

fetched live from OpenAlex

Background : Humans with heterozygous mutations in the axon guidance receptor DCC display congenital mirror movements (MMs), which are involuntary movements of body parts, such as fingers, on one side of the body that mirror voluntary movement of the opposite side. In mice, the homozygous Dcc kanga mutant allele causes synchronous MM‐like hindlimb movements during locomotion, resulting in hopping. In both human and mice, the neuroanatomical defect responsible for the deficit in lateralized motor control remains to be elucidated. Results : Using the HoxB8‐Cre line to specifically remove Dcc from the spinal cord, we found misrouting of commissural axons during their migration toward the floor plate, resulting in fewer axons crossing the midline. These mice also have a hopping gait, indicating that spinal cord guidance defects alone are sufficient to cause hopping. Conclusions : Dcc plays a role in the development of local spinal networks to ensure proper lateralization of motor control during locomotion. Local spinal cord defects following loss of Dcc cause a hopping gait in mice and may contribute to MM in humans. Developmental Dynamics 247:620–629, 2018 . © 2017 Wiley Periodicals, Inc.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score0.362

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.267
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations14
Published2017
Admission routes2
Has abstractyes

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