Limitations of the Avp-IRES2-Cre (JAX #023530) and Vip-IRES-Cre (JAX #010908) Models for Chronobiological Investigations
Bibliographic record
Abstract
The principal circadian pacemaker in mammals, the suprachiasmatic nucleus (SCN), expresses a number of neuropeptides that facilitate intercellular synchrony, helping to generate coherent outputs to peripheral clocks throughout the body. In particular, arginine vasopressin (AVP)– and vasoactive intestinal peptide (VIP)–expressing neurons have been recognized as crucial subpopulations within the SCN and have thus been the focus of many chronobiological studies. Here, we analyze the neuropeptide expression of 2 popular transgenic mouse strains commonly used to direct or restrict Cre-mediated recombination to AVP- and VIP-ergic neurons. The Avp-IRES2-Cre (JAX #023530) and Vip-IRES-Cre (JAX #010908) “driver” mouse strains express the Cre recombinase under the control of the endogenous Avp or Vip gene, respectively, allowing scientists either to ablate their gene of interest or to overexpress a transgene in a cell type–specific manner. Although these are potentially very powerful tools for chronobiologists and other scientists studying AVP- and VIP-ergic neurons, we found that neuropeptide expression in these mice is significantly decreased when an IRES(2)-Cre cassette is inserted downstream of the neuropeptide-encoding gene locus. The impact of IRES(2)-Cre cassette insertion on neuropeptide expression may be a confounding factor in many experimental designs. Our findings suggest that extreme caution must be exercised when using these mouse models to avoid misinterpretation of empirical results.
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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 | 0.014 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".