SAG2 and SAG12 protein expression in senescing <i>Arabidopsis</i> plants
Bibliographic record
Abstract
During leaf senescence, nutrients are remobilized from the senescing tissues to the growing parts of the plant. Many senescence‐associated genes (SAGs) were identified based on the induction of their transcripts. However, little is known about the protein expression of the corresponding genes. We have raised antibodies against two Arabidopsis SAGs, SAG2 and SAG12, which encode putative cysteine proteases. The SAG2 antibodies recognized a 29‐kDa protein that was abundant in senescing leaves, but was also present at low levels in green tissues. SAG12 antibodies labelled a 38‐kDa protein present only in senescent leaves. The protein expression of these SAGs parallels their mRNA expression patterns, indicating that control of SAG2 and SAG12 is at the level of transcription or transcript stability. In addition, we found that SAGs are induced during stem senescence with delayed kinetics of their expression relative to leaf expression, suggesting that age‐dependent factor(s) regulating the onset of senescence in Arabidopsis may act in tissue‐dependent manner.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".