LONP1 Is Required for Maturation of a Subset of Mitochondrial Proteins, and Its Loss Elicits an Integrated Stress Response
Bibliographic record
Abstract
LONP1, an AAA+ mitochondrial protease, is implicated in protein quality control, but its precise role in this process remains poorly understood. In this study, we have investigated the role of human LONP1 in mitochondrial proteostasis and gene expression. Depletion of LONP1 resulted in partial loss of mitochondrial DNA (mtDNA) and a complete suppression of mitochondrial translation associated with impaired ribosome biogenesis. The levels of a distinct subset of mitochondrial matrix proteins (SSBP1, MTERFD3, FASTKD2, and CLPX) increased in the presence of a catalytically dead form of LONP1, suggesting that they are bona fide LONP1 substrates. Unexpectedly, the unprocessed forms of the same proteins also accumulated in an insoluble protein fraction. This subset of unprocessed matrix proteins (but not their mature forms) accumulated following depletion of the mitochondrial processing peptidase MPP, though all other MPP substrates investigated were processed normally. Prolonged depletion of LONP1 produced massive matrix protein aggregates, robustly activated the integrated stress response (ISR) pathway, and resulted in stabilization of PINK1, a mitophagy marker. These results demonstrate that LONP1 and MPPαβ are together required for the maturation of a subset of LONP1 client proteins and that LONP1 activity is essential for the maintenance of mitochondrial proteostasis and gene expression.
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 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".