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Record W4241721944 · doi:10.1007/978-1-59745-133-8_9

Culturing Olfactory Ensheathing Cells from the Mouse Olfactory Epithelium

2008· book-chapter· en· W4241721944 on OpenAlexaff
Miranda W. Richter, Kathryn Westendorf, A. Jane Roskams

Bibliographic record

VenueMethods in molecular biology · 2008
Typebook-chapter
Languageen
FieldNeuroscience
TopicNerve injury and regeneration
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsOlfactory ensheathing gliaOlfactory bulbBiologyOlfactory mucosaRemyelinationNeurogenesisOlfactory epitheliumOlfactory systemTransplantationNeurosciencePopulationRegeneration (biology)Neural stem cellOlfactory nerveCell biologySchwann cellCentral nervous systemAnatomyStem cellMyelinMedicineInternal medicine

Abstract

fetched live from OpenAlex

Olfactory ensheathing cells (OECs) are not a class of stem cell, but they are a specialized and highly plastic glial cell that can continuously support the neurogenesis and axonal regeneration of olfactory receptor neurons. Because of this, they have been transplanted into sites of spinal cord injury to test their efficacy in promoting repair. They also have been demonstrated to have some ability to support the remyelination of demyelinated axons. Although the majority of these transplantation studies have used OECs prepared from the olfactory bulb (OB-OECs), OECs also can be prepared from the olfactory mucosa, and they are thus a candidate peripherally accessible population of glia that may be effective in promoting repair in a variety of central nervous system lesions. This protocol is designed to produce a highly enriched population of OECs from the lamina propria (LP) of the olfactory mucosa (LP-OECs), which are antigenically similar to OB-OECs and bear some phenotypic similarities to embryonic Schwann cells, but may demonstrate some distinct functional differences.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: Methods · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.010

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 head0.091
GPT teacher head0.342
Teacher spread0.251 · 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 designBench or experimental
Domainnot available
GenreMethods

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

Citations18
Published2008
Admission routes1
Has abstractyes

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