Genome-wide identification and expression analysis of the PTP family in Chinese cabbage (<i>Brassica rapa</i> subsp. <i>pekinensis</i>)
Bibliographic record
Abstract
Protein tyrosine phosphatases (PTPs) are signaling enzymes that play an important role in plant growth and development. Bioinformatics was used to analyze the PTP gene family of Brassica rapa subsp. pekinensis. Forty-six BrPTP family members were identified. These families were divided into eight subfamilies according to the protein domain. The relationship between gene structure and evolution was determined by comparing gene structure with the evolutionary tree. The 46 BrPTP genes were unevenly distributed across the chromosomes, and two pairs were identified to be tandem repeats. The BrPTP domain contained eight important motifs. Motifs of the same subfamily were basically identical, whereas that of each subfamily differed. These common motifs in these subfamilies are essential for PTP protein function. Analysis of BrPTP by quantitative reverse-transcription PCR revealed tissue-specific differences in expression. Most of the BrPTP genes were expressed in the five tissues examined, but not all. Expression patterns under stress showed that most genes were involved in the stress response. Further study of the PTP gene family may reveal more of its functions in Chinese cabbage.
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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 | 0.001 | 0.001 |
| 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) | 0.000 | 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".