Loss of HSPA9 induces peroxisomal degradation by increasing pexophagy
Bibliographic record
Abstract
Quality control of peroxisomes is essential for cellular homeostasis. However, the mechanism underlying pexophagy is largely unknown. In this study, we identified HSPA9 as a novel pexophagy regulator. Downregulation of HSPA9 increased macroautophagy/autophagy but decreased the number of peroxisomes in vitro and in vivo. The loss of peroxisomes by HSPA9 depletion was attenuated in SQSTM1-deficient cells. In HSPA9-deficient cells, the level of peroxisomal reactive oxygen species (ROS) increased, while inhibition of ROS blocked pexophagy in HeLa and SH-SY5Y cells. Importantly, reconstitution of HSPA9 mutants found in Parkinson disease failed to rescue the loss of peroxisomes, whereas reconstitution with wild type inhibited pexophagy in HSPA9-depleted cells. Knockdown of Hsc70-5 decreased peroxisomes in Drosophila, and the HSPA9 mutants failed to rescue the loss of peroxisomes in Hsc70-5-depleted flies. Taken together, our findings suggest that the loss of HSPA9 enhances peroxisomal degradation by pexophagy.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".