Regulation of pexophagy by a novel TBK1-MARCHF7-PXMP4-NBR1 axis in PEX1-depleted HeLa cells
Bibliographic record
Abstract
Peroxisomes are essential for lipid metabolism and redox balance, with pexophagy playing a critical role in maintaining cellular homeostasis. However, the regulatory mechanisms of pexophagy remain unclear. Through functional screening, we identified MARCHF7 as a novel E3 ligase regulating pexophagy. MARCHF7 depletion impaired pexophagic flux under PEX1 knockdown conditions. MARCHF7 binds to PXMP4 and promotes its ubiquitination at lysine 20 in PEX1-deficient cells. Depletion of PXMP4 impairs pexophagy, and reconstitution with the PXMP4 lysine 20 ubiquitination-defective mutant failed to rescue pexophagy. PEX1 depletion also induces TBK1 phosphorylation at serine 172, activating TBK1, which subsequently phosphorylates MARCHF7. This activation is driven by ROS accumulation, which reduces PXMP4 ubiquitination and prevents peroxisome loss. Furthermore, downregulation of MARCHF7 or PXMP4 impairs NBR1 recruitment to peroxisomes, suggesting that ubiquitinated PXMP4 acts as a recognition signal for NBR1. Collectively, our findings establish the TBK1-MARCHF7-PXMP4-NBR1 axis as a key regulatory pathway for pexophagy in response to PEX1 depletion.
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 | 0.000 | 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".