Characterization of PERK family members in Arabidopsis thaliana through promoter::GUS analyses and T-DNA insertion lines
Bibliographic record
Abstract
The Arabidopsis PERK family of receptor kinases consists of 15 members characterized by extracellular domains rich in proline and sharing sequence similarity to extensins. To gain information about their biological roles, AtPERK1, 2, and 3 promoter::GUS transgenic plants were analyzed by histochemical staining. Specificity not apparent from previous RNA blot analyses was revealed. AtPERK1 exhibited widespread vascular expression, while AtPERK3 was restricted to pollen grains, hypocotyls, and major veins of rosette leaves. No consistent staining was observed for AtPERK2 promoter::GUS plants. To gain more direct functional data T-DNA insertions were identified in many AtPERK genes. Initial phenotypic characterization of several of these lines did not reveal obvious phenotypes, suggesting that functional redundancy may exist. However, analysis of previously generated ectopic and antisense BnPERK1 Arabidopsis suggests a potential role in mediating cell elongation. Collectively, expression and transgenic analyses support possible roles for AtPERKs in various aspects of growth and development.
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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 | 0.000 |
| 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 | 0.001 |
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".