Analysis of the <i>Arabidopsis</i> cell suspension phosphoproteome in response to short‐term low temperature and abscisic acid treatment
Bibliographic record
Abstract
To shed light on the early protein phosphorylation events involved in plant cell signaling in response to environmental stresses, we studied changes in the phosphorylation status of the Arabidopsis cell suspension proteome after short‐term low temperature and abscisic acid (ABA) treatment. We used radioactive pulse‐labeling of Arabidopsis cell suspension cultures and two‐dimensional (2‐D) gel electrophoresis to identify proteins that are differentially phosphorylated in response to these treatments. Changes in the phosphorylation levels of several proteins were detected in response to short‐term (5 min or less) cold (4°C) and chilling (12°C) stress and ABA treatment, and we observed that some of these changes were common between these treatments. In addition, we used Pro‐Q Diamond phosphoprotein gel stain to study the steady‐state protein phosphorylation status under the same treatments. We demonstrated that Pro‐Q Diamond effectively stained phosphorylated proteins, however, the overall Pro‐Q Diamond 2‐D gel staining pattern of proteins extracted from low‐temperature and ABA‐treated cells was not consistent with the gel patterns obtained by in vivo radioactive labeling of phosphoproteins. These in vivo pulsed‐labeling experiments demonstrate that the Arabidopsis phosphoproteome is dynamic in response to short‐term low temperature and ABA treatment, and thus represents a strategy for the identification of signaling proteins that could be utilized in the production of chilling or freeze tolerant crop varieties.
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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 | 0.001 |
| 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 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".