Effects of microRNA-mediated IGF-1 gene silencing on telomerase activity and cell proliferation in deer antler cells
Bibliographic record
Abstract
Hu, W., Li, T., Lu, M., Wu, L., Meng, X. and Tian, Y. 2014. Effects of microRNA-mediated IGF-1 gene silencing on telomerase activity and cell proliferation in deer antler cells. Can. J. Anim. Sci. 94: 417–425. This study aimed to assess deer antler cell proliferation and telomerase activity after transfection with IGF-1microRNA eukaryotic expression recombinants. Four pairs of pre-microRNA were designed and synthesized based on the IGF-1 mRNA sequence, cloned into the pcDNA6.2-GW/EmGFPmiR eukaryotic vector and transfected into deer antler cells. IGF-1 expression after transfection with recombinants was measured by Real-time PCR and Western blotting. Telomerase activity in deer antler cells was assessed by TRAP–PCR-EB. Finally, the effects of IGF-1 silencing on cell proliferation and cell cycle were determined by MTT assay and flow cytometric analysis, respectively. The oligonucleotide sequences for microRNA expression were successfully inserted, and IGF-1 expression levels were significantly decreased in ...
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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) | 0.001 | 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".