Integrative proximal-ubiquitomics profiling for deubiquitinase substrate discovery applied to USP30
Bibliographic record
Abstract
The growing interest in deubiquitinases (DUBs) as drug targets for modulating critical molecular pathways in disease is fueled by the discovery of their specific cellular roles. A crucial aspect of this fact is the identification of DUB substrates. While mass spectrometry-based proteomic methods can be used to study global changes in cellular ubiquitination following DUB activity perturbation, these datasets often include indirect and downstream ubiquitination events. To enrich for the direct substrates of DUB enzymes, we have developed a proximal-ubiquitome workflow that combines proximity labeling methodology (ascorbate peroxidase-2 [APEX2]) with subsequent ubiquitination enrichment based on the K-ε-GG motif. We applied this technology to identify altered ubiquitination events in the vicinity of the DUB ubiquitin-specific protease 30 (USP30) upon its inhibition. Our findings reveal ubiquitination events previously associated with USP30 on TOMM20 and FKBP8, as well as the candidate substrate LETM1, which is deubiquitinated in a USP30-dependent manner.
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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".