The rat ortholog of the presumptive flounder antifreeze enhancer‐binding protein is a helicase domain‐containing protein
Bibliographic record
Abstract
The expression of winter flounder liver-type antifreeze protein (wflAFP) genes is tissue-specific and under seasonal and hormonal regulation. The only intron of the major wflAFP gene was demonstrated to be a liver-specific enhancer in both mammalian cell lines and flounder hepatocytes. Element B, the core enhancer sequence, was shown to interact specifically with a liver-enriched transcription factor, CCAAT/enhancer-binding protein alpha (C/EBPalpha), as well as a presumptive antifreeze enhancer-binding protein (AEP). In this study, the identity of the rat AEP ortholog was revealed via its DNA-protein interaction with element B. It is a helicase-domain-containing protein, 988 amino acids in length, and is homologous to mouse Smubp-2, hamster Rip-1 and human Smubp-2. The specific binding between element B and AEP was confirmed by South-Western analysis and gel retardation assays. Residues in element B important to this interaction were identified by methylation interference assays. Mutation on one of the residues disrupted the binding between element B and AEP and its enhancer activity was significantly reduced, suggesting that AEP is essential for the transactivation of the wflAFP gene intron. The rat AEP is ubiquitously expressed in various tissues, and the flounder homolog is present as shown by genomic Southern analysis. The potential role of AEP in regulating the flounder AFP gene expression is discussed.
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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) | 0.003 | 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".