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Cholinergic expression by a neural stem cell line grafted to the adult medial septum/diagonal band complex

2000· article· en· W1982051588 on OpenAlexaff
Laurie C. Doering, Evan Y. Snyder

Bibliographic record

VenueJournal of Neuroscience Research · 2000
Typearticle
Languageen
FieldNeuroscience
TopicNeurogenesis and neuroplasticity mechanisms
Canadian institutionsMcMaster University Medical CentreMcMaster University
Fundersnot available
KeywordsCholine acetyltransferaseCholinergicBiologyStem cellCell biologyCholinergic neuronNeural stem cellDiagonal band of BrocaNeuroscienceNeuroepithelial cellGlial fibrillary acidic proteinCellular differentiationImmunologyImmunohistochemistry

Abstract

fetched live from OpenAlex

The potential of a neural stem cell line to acquire cholinergic characteristics was studied in transplants injected into the septum/diagonal band nuclei of young adult rats and mice. The stem cells integrated within the nuclei and survived for up to 9 months. Three methods were used to identify the grafted cells and to show differentiation into astrocytes and neurons. Enhanced survival of the stem cells occurred in the host brain with a previous lesion of the fimbria-fornix pathway. Differentiated cells acquired neuronal-like features including the expression of neurofilament subunits. In lesioned hosts, subpopulations of the grafted cells acquired a cholinergic neuronal phenotype and expressed choline acetyltransferase and the p75 neurotrophin receptor. Cells that developed into astrocytes were often associated with blood vessels and expressed glial fibrillary acidic protein. The results further exemplify the potential of stem cell lines and the property of site-specific differentiation when this line is transplanted to the cholinergic system of the adult brain.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.142
GPT teacher head0.368
Teacher spread0.227 · 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
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

Citations50
Published2000
Admission routes1
Has abstractyes

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