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Record W2514257965 · doi:10.1002/cm.21319

Origin of axonal proteins: Is the axon‐schwann cell unit a functional syncytium?

2016· review· en· W2514257965 on OpenAlexfundno aff
Rodrigo López‐Leal, Jaime Álvarez, Felipe A. Court

Bibliographic record

VenueCytoskeleton · 2016
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicExtracellular vesicles in disease
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchAzrieli Foundation
KeywordsBiologySyncytiumAxonAxoplasmCell biologyNeuroscienceSchwann cellNervous systemContext (archaeology)Regeneration (biology)CellGenetics

Abstract

fetched live from OpenAlex

The structural homeostasis is challenging for neurons, whose axons extend up to meters in large animals, and the axoplasmic mass reaches over a thousand times that of the cell body. Thus, the protein demand may overcome the capacity of the cell body to supply the right protein species, to the right place, in the right time. In this context, a body of evidence indicates that glial cells support the axonal maintenance and regenerative responses by diverse mechanisms of intercellular communication. We showed recently that Schwann cells (SC) transfer ribosomes to axons and also enhance regeneration by means of extracellular vesicles known as exosomes that contain mRNAs, miRNAs and proteins. These findings strongly suggest that the nucleus of the SC supports the machinery for protein synthesis of the axon and participates in the specification of the phenotype of the underlying axon. That the genetic programs of many nuclei modulate the axoplasm on a local basis is akin to a syncytium but at variance with it, the nuclei belong to satellite cells. We propose that the SC-axon unit is a functional syncytium. This intercellular organization opens a novel understanding of the nervous system and a new avenue of research into its physiology and disorders © 2016 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.002

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 head0.036
GPT teacher head0.301
Teacher spread0.264 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations26
Published2016
Admission routes1
Has abstractyes

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