Postnatal jejunal expression patterns of four major house‐keeping genes in pigs are measured by the real time RT‐PCR
Bibliographic record
Abstract
The selection of an ideal house‐keeping gene is essential to examine developmental changes in the intestinal gene expression studies by real time RT‐PCR. This study was carried out to examine the postnatal porcine jejunal expression patterns of four major house‐keeping genes, beta‐actin (ACTIN), glyceraldehydes‐3‐phosphate dehydrogenase (GAPDH), hypoxanthine phosphoribosyl‐transferase (HPRT) and ribosomal protein L10 (RPL10) by real‐time RT‐PCR. Thirty six purebred Yorkshire gilts were used for sampling jejunum at the ages of d 1, 4, 6, 12, 20 and 28 (1 wk post‐weaning). The house‐keeping gene expression, indirectly expressed as threshold cycles (CT) values, was analyzed by real time RT‐PCR (SmartCycler) using the SYBR Green‐I detection kit. Orthogonal polynomial contrasts showed no changes (P>0.05) in ACTIN (16.1–16.8; SE=0.56), GAPDH (19.4–20.6; SE=0.50) and HPRT (28.0–29.8; SE=0.98) expressions but quartic responses in RPL10 (P=0.006; 17.7–18.9, SE=0.25) expression. Our results indicate that beta‐actin, GAPDH and HPRT are the ideal housekeeping genes to examine porcine jejunal gene ontogeny research. Supported by NSERC of Canada and the Chinese Academy of Sciences.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".