Polycystin-2 down-regulates cell proliferation via promoting PERK-dependent phosphorylation of eIF2α
Bibliographic record
Abstract
Autosomal dominant polycystic kidney disease (ADPKD) is characterized by the formation of renal, hepatic and pancreatic cysts and by non-cystic manifestations such as abnormal vasculature and embryo left-right asymmetry development. Polycystin-2 (PC2), in which mutations account for 10-15% of ADPKD, was previously shown to down-regulate cell proliferation, but the underlying mechanism was not elucidated. Here, we demonstrate that PC2, but not pathogenic mutants E837X and R872X, represses cell proliferation through promoting the phosphorylation of eukaryotic translation initiation factor eIF2alpha by pancreatic ER-resident eIF2alpha kinase (PERK). ER stress is known to enhance eIF2alpha phosphorylation through up-regulating PERK kinase activity (assessed by phosphorylated PERK). During ER stress, PC2 knockdown also repressed eIF2alpha phosphorylation but did not alter PERK phosphorylation, indicating that PC2 facilitates the eIF2alpha phosphorylation by PERK. PC2 was found to be in the same complex as PERK and eIF2alpha. Together, we demonstrate that PC2 negatively controls cell growth by promoting PERK-mediated eIF2alpha phosphorylation, presumably through physical interaction, which may underlie a pathogenesis mechanism of ADPKD and indicates that PC2 is an important regulator of the translation machinery.
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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".