The AcB/BcA Recombinant Congenic Strains of Mice: Strategies for Phenotype Dissection, Mapping and Cloning of Quantitative Trait Genes
Bibliographic record
Abstract
The AcB/BcA gene discovery platform consists of a series of 36 recombinant congenic strains (RCS) produced from the second backcross generation of the progenitor mouse strains A/J and C57BL/6J. Each individual inbred RCS carries 12.5% of the donor genome in 87.5% of the background genome. As the two parental strains are known to vary in the expression of resistance and susceptibility to a considerable number of mouse models of human diseases, the AcB/BcA RCS platform represents a valuable and versatile genetic tool to study many different phenotypes. RCS can be used to follow the segregation of single gene effects in individual strains, or to look at association/dissociation of mechanistic aspects of complex phenotypes. In addition, one can select strains with fixed alleles at known loci to look for novel gene effects, or use strains with overlapping congenic segments to delineate minimal QTL, intervals. The AcB/BcA RCS platform was used by our group and others to study a series of complex phenotypes including nociception, malaria susceptibility and lipid metabolism. Linkage mapping in secondary crosses and gene expression analysis in targeted organs allowed the identification of chromosomal regions, genes, and biological pathways which might unravel novel targets for preventive and therapeutic interventions.
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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".