Deubiquitinating enzymes regulate PARK2-mediated mitophagy
Bibliographic record
Abstract
The selective degradation of mitochondria by the process of autophagy, termed mitophagy, is one of the major mechanisms of mitochondrial quality control. The best-studied mitophagy pathway is the one mediated by PINK1 and PARK2/Parkin. From recent studies it has become clear that ubiquitin-ligation plays a pivotal role and most of the focus has been on the role of ubiquitination of mitochondrial proteins in mitophagy. Even though ubiquitination is a reversible process, very little is known about the role of deubiquitinating enzymes (DUBs) in mitophagy. Here, we report that 2 mitochondrial DUBs, USP30 and USP35, regulate PARK2-mediated mitophagy. We show that USP30 and USP35 can delay PARK2-mediated mitophagy using a quantitative mitophagy assay. Furthermore, we show that USP30 delays mitophagy by delaying PARK2 recruitment to the mitochondria during mitophagy. USP35 does not delay PARK2 recruitment, suggesting that it regulates mitophagy through an alternative mechanism. Interestingly, USP35 only associates with polarized mitochondria, and rapidly translocates to the cytosol during CCCP-induced mitophagy. It is clear that PARK2-mediated mitophagy is regulated at many steps in this important quality control pathway. Taken together, these findings demonstrate an important role of mitochondrial-associated DUBs in mitophagy. Because defects in mitochondria quality control are implicated in many neurodegenerative disorders, our study provides clear rationales for the design and development of drugs for the therapeutic treatment of neurodegenerative diseases such as Parkinson and Alzheimer diseases.
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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".