A short motif in Arabidopsis <scp>CDK</scp> inhibitor <scp>ICK</scp>1 decreases the protein level, probably through a ubiquitin‐independent mechanism
Bibliographic record
Abstract
The ICK/KRP family of cyclin-dependent kinase (CDK) inhibitors modulates the activity of plant CDKs through protein binding. Previous work has shown that changing the levels of ICK/KRP proteins by overexpression or downregulation affects cell proliferation and plant growth, and also that the ubiquitin proteasome system is involved in degradation of ICK/KRPs. We show in this study that the region encompassing amino acids 21 to 40 is critical for ICK1 levels in both Arabidopsis and yeast. To determine how degradation of ICK1 is controlled, we analyzed the accumulation of hemagglutinin (HA) epitope-tagged ICK1 proteins in yeast mutants defective for two ubiquitin E3 ligases. The highest level of HA-ICK1 protein was observed when both the N-terminal 1-40 sequence was removed and the SCF (SKP1-Cullin1-F-box complex) function disrupted, suggesting the involvement of both SCF-dependent and SCF-independent mechanisms in the degradation of ICK1 in yeast. A short motif consisting of residues 21-30 is sufficient to render green fluorescent protein (GFP) unstable in plants and had a similar effect in plants regardless of whether it was fused to the N-terminus or C-terminus of GFP. Furthermore, results from a yeast ubiquitin receptor mutant rpn10Δ indicate that protein ubiquitination is not critical in the degradation of GFP-ICK1(1-40) in yeast. These results thus identify a protein-destabilizing sequence motif that does not contain a typical ubiquitination residue, suggesting that it probably functions through an SCF-independent mechanism.
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".