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Record W2024193688 · doi:10.1002/glia.20288

Mouse model for ablation of proliferating microgliain acute CNS injuries

2005· article· en· W2024193688 on OpenAlexafffund
Genevíève Gowing, Luc Vallières, Jean‐Pierre Julien

Bibliographic record

VenueGlia · 2005
Typearticle
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsUniversité Laval
FundersCanada Research ChairsNational Alliance for Research on Schizophrenia and Depression
KeywordsBiologyMicrogliaAxotomyGenetically modified mouseNerve injuryCell biologyNeuroscienceCentral nervous systemTransgeneImmunologyInflammation

Abstract

fetched live from OpenAlex

Activation of microglia, the primary immune effectors of the CNS and proinflammatory signaling, is a hallmark of brain damage. However, it remains controversial whether microglial cells have beneficial or detrimental functions in various neuropathological conditions. We report the generation of transgenic mice that express a mutant form of herpes simplex virus type 1 thymidine kinase (HSV-1 TK(mt-30)) driven by the myeloid-specific CD11b promoter. Using two paradigms of nervous system damage, hypoglossal nerve axotomy, and cortical stab injury, we show that specific ablation of proliferating microglia in CD11b-TK(mt-30) mice can be achieved by administration of ganciclovir. For example, after hypoglossal nerve injury, a 75% reduction in proliferating microglial cells was observed at the site of injury. The CD11b-TK(mt-30) transgenic mouse should provide a valuable tool for studying the role of microglia in CNS damage and repair.

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)0.000
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 score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.003

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 head0.037
GPT teacher head0.286
Teacher spread0.249 · 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

Citations73
Published2005
Admission routes2
Has abstractyes

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