Regulation of ABI5 turnover by reversible post-translational modifications
Bibliographic record
Abstract
Post-translational modifications (PTMs) such as phosphorylation, ubiquitination, and sumoylation play significant roles in regulating abscisic acid (ABA) signaling. The targets for PTM are usually transcriptional regulators such as Abscisic acid Insensitive 5 (ABI5). PTM regulate ABI5 stability as well as activity. The abundance of ABI5 is tightly controlled by the ubiquitination-26S proteasome system. E3 ubiquitin ligases such as KEG negatively regulate ABA signaling by promoting ABI5 ubiquitination and subsequent degradation by the 26S proteasome. In our recent study we demonstrated that, in the absence of ABA, KEG-mediated turnover of ABI5 occurs within the cytoplasm. Whereas ubiquitination promotes ABI5 degradation, sumoylation prohibits degradation of the transcription factor. While phosphorylation has been shown to regulate ABI5 activity, our studies and others suggest that the phosphorylation status of ABI5 does not play a significant role in modulating ABI5 turnover.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".