Nucleophagy removes cytotoxic trapped PARP1
Bibliographic record
Abstract
Abstract Poly (ADP-Ribose) Polymerase inhibitors (PARPi) induce cytotoxicity in homologous recombination repair (HRR)-deficient cancers by causing PARP1 to become trapped on chromatin, resulting in irreparable replication-associated DNA damage. Although increased clearance of trapped PARP1 from chromatin reduces the sensitivity of cancer cells to PARPi, details surrounding this process remain unclear. PARPi exposure is known to cause increased autophagy flux, whilst autophagy inhibition can hypersensitise cells to PARPi. Using various biochemical, cell biological and live imaging-based assays, we found that trapped PARP1 is cleared by nucleophagy, the selective autophagy of nuclear substrates. Specifically, the nucleophagy of trapped PARP1 was orchestrated by the selective autophagy receptor TEX264 and its partner segregase p97/VCP. TEX264 mediates this process by directly interacting with trapped PARP1, thus bridging PARP1 to the autophagosomal resident protein LC3 for processing via autophagy. Impeding this process, either chemically or genetically, heightened PARP1 trapping, leading to accumulation of protein aggregates, replication-associated DNA damage and cell lethality, re-sensitising PARPi-resistant cells to various PARPi. In conclusion, we show that nucleophagy acts in a cytoprotective manner to directly target PARPi-induced trapped PARP1 for degradation.
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) | 0.002 | 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".