Selection of appropriate reference genes in different tissues of <i>Vaccinium dunalianum</i> Wight by quantitative real-time PCR for gene expression studies
Bibliographic record
Abstract
Quantitative real-time polymerase chain reaction (PCR) is a powerful tool for investigating relevant changes in gene expression. At present, there are no reports on reference genes for Vaccinium dunalianum Wight (V. dunalianum Wight). Here, the expression profiles of 15 frequently used reference genes were used to screen for appropriate reference genes in different tissues of V. dunalianum Wight collected in Yunnan and Wuding, China. The cycle threshold (Ct) values of genes in different samples were compared and analyzed. Furthermore, BestKeeper, NormFinder, and geNorm software were used to evaluate the stability of each candidate reference gene. Analysis using geNorm showed that the expression levels of glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and protein phosphatase 2A-2 (PP2A-2) were the most stable. In turn, the expression level of eukaryotic initiation factor-2 (EIF-4A-2) was the most stable as per analysis by NormFinder, while Bestkeeper revealed that actin-related protein-1 (ARP-1) was the most stably expressed. Comprehensive analysis and validation experiments showed that EIF-4A-2 and PP2A-2 were the most suitable reference genes for V. dunalianum Wight.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".