Atlantic salmon possesses two clusters of type I interferon receptor genes on different chromosomes, which allows for a larger repertoire of interferon receptors than in zebrafish and mammals
Bibliographic record
Abstract
Mammalian type I interferons (IFNs) signal through a receptor composed of the IFNAR1 and IFNAR2 chains. In zebrafish two-cysteine IFNs utilize a receptor composed of CRFB1 and CRFB5, while four-cysteine IFNs signal through a receptor formed by CRFB2 and CRFB5. In the present work two CRFB clusters were identified in different chromosomes of Atlantic salmon. Genes of three CRFB5s, one CRFB1, one CRFB2 and the novel CRFB5x were identified, cloned and studied functionally. All CRFBs were expressed in 10 different organs, but the relative expression of CRFBs varied. Mx-reporter assay was used to study which CRFBs might be involved in receptors for salmon IFNa, IFNb and IFNc. The results of Mx-reporter assays suggest that IFNa signals through a receptor composed of CRFB1a as the long chain and either CRFB5a, CRFB5b or CRFB5c as the short chain; IFNc signals through a receptor with CRFB5a or CRFB5c as the short chain while IFNb may signal through a receptor with CRFB5x as a short chain. Taken together, the present work demonstrates that Atlantic salmon has a more diverse repertoire of type I IFN receptors compared to zebrafish or mammals.
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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 | 0.000 | 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) | 0.002 | 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 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".