Effect of IGF-1 on Expression of GH Receptor, IGF-1, IGF-1 Receptor, KAP3.2 and KAP6-1 mRNA in the Skin of Sheep
Bibliographic record
Abstract
Thirty-six healthy and similar Chinese Merino sheep were selected and divided into six groups at random. Thetreatment group was injected intradermally with 0.5 mL IGF-1 (10ng/mL). Treatment skin tissue of sheep were sampledrespectively for 0,3,6,9,12 and 50 days and the skin expression of growth hormone receptor (GHR), insulin-like growthfactor1 (IGF-1), insulin-like growth factor receptor (IGF- R), KAP3.2 and KAP6-1 mRNA were measured by RT-PCR.The results indicated that IGF-1 could degrade GHR gene expression, have no effect of IGF-1 and IGF-1R geneexpression, and increase significantly KAP3.2 and KAP6-1 gene expression. Taken together these findings that theimprovement of KAP3.2 and KAP6-1 gene expression may correlates with other pathway beyond the insulin-likegrowth factor axis.
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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".