TOLLIP inhibits the replication of PEDV by autophagic degradation of Nsp9
Bibliographic record
Abstract
Selective autophagy plays a crucial role in innate antiviral immunity by targeting essential viral components and host factors necessary for virus propagation. Among these factors, the nonstructural protein 9 (Nsp9) of Porcine Epidemic Diarrhea Virus (PEDV) is required for viral replication. However, the host factors regulating Nsp9 have remained elusive. In our study, we discovered that Nsp9 undergoes degradation through selective autophagy. Using coimmunoprecipitation combined with mass spectrometry analysis, we identified Toll-interacting protein (TOLLIP) as an autophagy cargo receptor binding to Nsp9 and facilitating its autophagic degradation. Additionally, we found that TOLLIP interacts with LC3A, LC3C, and GABARAPL1. Further investigations revealed that Nsp9 specifically enhances the binding of TOLLIP to LC3A, rather than LC3C or GABARAPL1. Importantly, TOLLIP promotes the engulfment of Nsp9 by LC3A-coated autophagosomes and mediates Nsp9 trafficking to lysosomes, ultimately leading to LC3A-dependent degradation of Nsp9. Consequently, TOLLIP suppresses PEDV replication. Overall, our findings highlight the role of TOLLIP in connecting viral proteins to LC3A-dependent autophagosome, emphasizing its significance in combating viruses through selective autophagy.
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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) | 0.001 | 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".