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Record W2029068462 · doi:10.1002/dvg.20720

Unsuspected effects of a lung‐specific cre deleter mouse line

2011· article· en· W2029068462 on OpenAlexafffund
Lucie Jeannotte, Josée Aubin, Sylvie Bourque, Margot Lemieux, Séverine Montaron, Anne Provencher St‐Pierre

Bibliographic record

Venuegenesis · 2011
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsUniversité LavalHôtel-Dieu de QuébecCentre hospitalier universitaire de Québec
FundersCanadian Institutes of Health Research
KeywordsCre recombinaseBiologyPhenotypeGene targetingRecombinaseCre-Lox recombinationGeneGenetically modified mouseTransgeneLungMolecular biologyGeneticsCell biology

Abstract

fetched live from OpenAlex

Cre-expressing mouse lines constitute an important asset to mammalian genetics, allowing the deletion of genes in a spatio-temporal specific manner. Our study on Hox gene function in lung development has led us to use a lung endoderm-specific deletion with the Sftpc-cre mouse line expressing the Cre recombinase gene under the control of human surfactant protein C regulatory sequences. In control experiments, the Cre recombinase faithfully activated the Rosa26-lacZ reporter gene in lung epithelium. However as early as e15.5, lungs from Sftp-Cre(+) embryos showed abnormal dilated cysts. This unexpected phenotype was also observed in mice carrying the conditional lung epithelial Hoxa5 deletion, indicating some bias due to Cre deleterious effects. Excessive apoptosis, likely due to Cre toxicity, could explain the abnormal cysts. Our findings illustrate the need for appropriate control experiments and careful interpretation of data to discriminate between the phenotype due to the targeted mutation and the confounding effects of the Cre recombinase.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.003

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 head0.059
GPT teacher head0.331
Teacher spread0.271 · 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

Citations35
Published2011
Admission routes2
Has abstractyes

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