Tissue‐Specific Regulation of Oncogene Expression Using Cre‐Inducible ROSA26 Knock‐In Transgenic Mice
Bibliographic record
Abstract
Cre-inducible mouse models are often utilized for the spatial and temporal expression of oncogenes. With the wide number of Cre recombinase lines available, inducible transgenesis represents a tractable approach to achieve discrete oncogene expression. Here, we describe a protocol for targeting Cre-inducible genes to the ubiquitously expressed ROSA26 locus. Gene targeting provides several advantages over standard transgenic techniques, including a known site of integration and previously characterized pattern of expression. Historically, an inherent instability of ROSA26 targeting vectors has hampered the efficiency of developing ROSA26 knock-in lines. In this protocol, we provide individual steps for utilizing Gateway recombination for cloning as well as detailed instructions for screening targeted ES cell clones. By following this protocol, one can achieve germline transmission of a ROSA26 knock-in line within several months.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".