SCF<sup>SNIPER7</sup> controls protein turnover of unfoldase CDC48A to promote plant immunity
Bibliographic record
Abstract
Summary The unfoldase CDC48 (Cell Division Cycle 48) is highly conserved in eukaryotes, serving as an AAA + ATPase to extract ubiquitinated proteins from large protein complexes and membranes. Although its biochemical properties have been studied extensively in yeast and animal systems, the biological roles and regulations of the plant CDC48s have been explored only recently. Here we describe the identification of a novel E3 ligase from the SNIPER (snc1‐influencing plant E3 ligase reverse genetic) screen, which contributes to plant defense regulation by targeting CDC48A for degradation. SNIPER7 encodes an F‐box protein and its overexpression leads to autoimmunity. We identified CDC48s as interactors of SNIPER7 through immunoprecipitation followed by mass spectrometry proteomic analysis. SNIPER7 overexpression lines phenocopy the autoimmune mutant Atcdc48a‐4. Furthermore, CDC48A protein levels are reduced or stabilized when SNIPER7 is overexpressed or inhibited, respectively, suggesting that CDC48A is the ubiquitination substrate of SCFSNIPER7. Taken together, this study reveals a new mechanism where a SCFSNIPER7 complex regulates CDC48 unfoldase levels and modulates immune output.
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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 | 0.000 | 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) | 0.001 | 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".