Generation of a New Frizzled 2 Flox Mouse Model to Clarify Its Role in Development
Bibliographic record
Abstract
Abstract It is currently accepted that Wnt receptors, Frizzleds (Fzd), have high functional redundancy, making individual receptors challenging to target therapeutically. Specifically, Fzd2 is believed to be functionally redundant with Fzd1 and Fzd7, findings which were based largely on previously published global knockout mouse studies. Conversely, a Fzd2 global knockout mouse model developed by the International Mouse Phenotype Consortium (IMPC) is early embryonic lethal, suggesting Fzd2 is critical for early embryonic development. If global deletion of Fzd2 leads to early lethality, floxed models are necessary to identify tissue-specific phenotypes. We found that a previously published Fzd2 flox model does not fully delete Fzd2 function. To reconcile the contradictory findings in Fzd2 mouse models and allow for tissue-specific studies of Fzd2, we have generated a new flox model using a modified two-cell homologous recombination CRISPR approach. We demonstrated successful simultaneous insertion of two loxP sites fully surrounding the Fzd2 gene and confirmed cre-mediated recombination deletes the sequence between the loxP sites leading to a Fzd2 null allele. Preliminary studies suggest global knockouts are early embryonic lethal and full characterization of the tissue-specific effects of Fzd2 deletion is currently underway. This work suggests Fzd2 uniquely regulates development and emphasizes the importance of thorough validation of newly generated mouse models.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".