Selection of reference genes for normalization of real-time PCR data in visceral adipose tissue of female rats on a fructose-enriched diet
Bibliographic record
Abstract
Considering the association of increased fructose intake with the rise in metabolic syndrome and gender differences in its incidence, this study was aimed at evaluating and identifying the optimal reference genes for the relative quantification of gene expression by real-time PCR in the adipose tissue of female rats exposed to a fructose-enriched diet as an animal model of metabolic syndrome. The transcription of four commonly used reference genes, BA, HPRT1, TBP and B2M, was quantified by TaqMan real-time PCR. The expression stability of these genes was evaluated by direct comparison of Ct values and by using the geNorm and NormFinder algorithms. NormFinder revealed HPRT1 as the most stable gene, and both programs identified HPRT1 and TBP as the most stable combination of genes in this experimental paradigm. In addition, HPRT1 was shown to be reliable enough as the sole reference gene.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".