The Dynamics and Mechanism of SUMO Chain Deconjugation by SUMO-specific Proteases
Bibliographic record
Abstract
SUMOylation of proteins is a cyclic process that requires both conjugation and deconjugation of SUMO moieties. Besides modification by a single SUMO, SUMO chains have also been observed, yet the dynamics of SUMO conjugation/deconjugation remain poorly understood. Using a non-deconjugatable form of SUMO we demonstrate the underappreciated existence of SUMO chains in vivo, we highlight the importance of SUMO deconjugation, and we demonstrate the highly dynamic nature of the SUMO system. We show that SUMO-specific proteases (SENPs) play a crucial role in the dynamics of SUMO chains in vivo by constant deconjugation. Preventing deSUMOylation in Schizosaccharomyces pombe results in slow growth and a sensitivity to replication stress, highlighting the biological requirement for deSUMOylation dynamics. Furthermore, we present the mechanism of SUMO chain deconjugation by SENPs, which occurs via a stochastic mechanism, resulting in cleavage anywhere within a chain. Our results offer mechanistic insights into the workings of deSUMOylating proteases and highlight their importance in the homeostasis of (poly)SUMO-modified substrates.
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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".