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Record W2128441710 · doi:10.1002/dvdy.10092

Characterization of transgene expression and Cre recombinase activity in a panel of Thy‐1 promoter‐Cre transgenic mice

2002· article· en· W2128441710 on OpenAlexafffund
Katrina D. Campsall, Chantal Mazerolle, Yves De Repentingy, Rashmi Kothary, Valerie A. Wallace

Bibliographic record

VenueDevelopmental Dynamics · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAnimal Genetics and Reproduction
Canadian institutionsUniversity of Ottawa
FundersNational Cancer InstituteAgence Nationale pour la Gestion des Déchets RadioactifsUniversity of Ottawa
KeywordsBiologyTransgeneCre recombinaseGenetically modified mouseMolecular biologyCell biologyReporter geneGene expressionGeneGenetics

Abstract

fetched live from OpenAlex

The regulatory elements of the murine Thy1.2 gene were used to drive Cre recombinase expression in the nervous system (NS) of transgenic mice. Eleven Thy1-Cre lines exhibited transgene expression in several regions of the central and peripheral nervous systems, including the cerebral cortex, cerebellum, spinal cord, retina, and dorsal root ganglion. Thy1-Cre expression also resulted in region-specific activation of Cre reporter transgenes. Although Thy-1 expression is normally initiated in postmitotic neurons in the perinatal period, we show that the Thy-1.2 expression cassette drives Cre expression in immature proliferative zones in the NS as early as embryonic day 11 and in non-neural tissue. The Thy1.2 transgene cassette, therefore, does not impart transgene expression that is restricted to the NS or to postmitotic neurons within the NS. This panel of Thy1-Cre transgenic mice, however, will be useful reagents for the ablation of genes whose transcripts are spatially or temporally restricted in the developing NS.

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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.015
GPT teacher head0.205
Teacher spread0.190 · 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

Citations71
Published2002
Admission routes2
Has abstractyes

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