Porcine jejunal alkaline phosphatase gene expression is quadratically changed during the postnatal growth examined by the quantitative real‐time RT‐PCR
Bibliographic record
Abstract
Intestinal alkaline phosphatase (AP) is responsible for hydrolyzing phosphoric ester bonds of organic compounds and likely plays a role in intestinal transcellular nutrient transport. This study was conducted to examine porcine jejunal AP gene expression (mRNA) during the postnatal growth. A total of 36 littermate purebred Yorkshire gilts were divided into six groups at the ages of d 1, 4, 6, 12, 20 (suckling) and 28 (1 wk post‐weaning), respectively. Relative jejunal AP mRNA abundance was measured by the real time RT‐PCR analysis (SmartCycler) using the SYBR Green‐I detection kit with glyceraldehydes‐3‐phosphate dehydrogenase (GAPDH) as the housekeeping gene. Orthogonal polynomial contrast analyses of the data showed a quadratic pattern (P=0.013) of the porcine jejunal AP mRNA expression (LSMEAN, 1.43, 2.50, 2.90, 4.32, 3.27 and 0.38, respectively, with a pooled SD=2.76) at the ages of d 1, 4, 6, 12 and 20, and 28. These results suggest that porcine jejunal alkaline phosphatase gene expression was increased from birth to the peak at 12‐d suckling and dramatically decreased during the weaning between d 21 and 28. Supported by the Chinese Academy of Sciences and NSERC.
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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 | 0.001 |
| 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".