Cre‐conditional expression of constitutively active Notch1 in transgenic mice
Bibliographic record
Abstract
The Notch signaling pathway plays a critical role during mammalian development. To bypass embryonic lethality associated with constitutive Notch1 signaling, we created transgenic mice with a floxed beta-geo/stop signal between a cytomegalo virus promoter and the constitutively active intracellular domain of Notch1 (IC-Notch1). IC-Notch1 is activated upon introduction of Cre recombinase and it is coexpressed with an enhanced green fluorescent protein or human placental alkaline phosphatase reporter. We created three IC-Notch1 transgenic mouse lines and crossed them to a general Cre deletor mouse line, pCX-Cre. The double transgenic IC-Notch1/pCX-Cre embryos have widespread expression of IC-Notch1 and reporters and die before 10.5 days of gestation. Morphological and histological analysis of the double transgenic embryos indicated growth arrest and various developmental defects, including lack of neural tube closure, disorganized somites, and disrupted vasculature. The conditional IC-Notch1 expressing transgenic mice provide a unique tool to investigate the Notch pathway using tissue-specific Cre mice and inducible Cre systems.
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 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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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".