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Record W2093394519 · doi:10.1016/s0736-5748(02)00080-1

Information provided by the skeletal muscle and associated neurons is necessary for proper brain development

2002· article· en· W2093394519 on OpenAlexafffund
Boris Kablar, Michael A. Rudnicki

Bibliographic record

VenueInternational Journal of Developmental Neuroscience · 2002
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsOttawa HospitalDalhousie University
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchHospital for Sick ChildrenLon V. Smith FoundationBanting Research Foundation
KeywordsNeuroscienceBiologyMYF5CalretininMyoDNeuroepithelial cellMyogenesisCortex (anatomy)Pyramidal tractsNeural crestAnatomyCell biologySkeletal muscleNeural stem cellEmbryoStem cell

Abstract

fetched live from OpenAlex

Previously, motor cortex of term Myf5(-/-):MyoD(-/-) fetuses (e.g. have ablated skeletal myogenesis and consequent early loss of lower motor and proprioceptive neurons) was found to lack giant pyramidal cells. We further investigated how the absence of the extrinsic stimuli from the lacking structures influences brain development. Apparently normal motor cortex of mutant fetuses was found to have dramatically reduced presence of nestin-expressing processes of neural precursors, calretinin-expressing pyramidal neurons and calbindin-expressing neurons. Consistently, some areas of the extrapyramidal tract had significantly decreased number of differentiated neurons in mutant brains. Surprisingly, we were unable to detect any change in proliferation or cell death in the mutant neuroepithelium. Together, it appears that the information provided by the lacking structures influences the ratios of the differentiated neuronal types and their progenitor cells.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.299
Threshold uncertainty score0.519

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.047
GPT teacher head0.317
Teacher spread0.270 · 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 designBench or experimental
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

Citations10
Published2002
Admission routes2
Has abstractyes

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