WW Domain of BAG3 Is Required for the Induction of Autophagy in Glioma Cells
Bibliographic record
Abstract
Autophagy is an evolutionarily conserved, selective degradation pathway of cellular components that is important for cell homeostasis under healthy and pathologic conditions. Here we demonstrate that an increase in the level of BAG3 results in stimulation of autophagy in glioblastoma cells. BAG3 is a member of a co-chaperone family of proteins that associates with Hsp70 through a conserved BAG domain positioned near the C-terminus of the protein. Expression of BAG3 is induced by a variety of environmental changes that cause stress to cells. Our results show that BAG3 overexpression induces autophagy in glioma cells. Interestingly, inhibition of the proteasome caused an increase in BAG3 levels and induced autophagy. Further analysis using specific siRNA against BAG3 suggests that autophagic activation due to proteosomal inhibition is mediated by BAG3. Analyses of BAG3 domain mutants suggest that the WW domain of BAG3 is crucial for the induction of autophagy. BAG3 overexpression also increased the interaction between Bcl2 and Beclin-1, instead of disrupting them, suggesting that BAG3 induced autophagy is Beclin-1 independent. These observations reveal a novel role for the WW domain of BAG3 in the regulation of 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 | 0.000 |
| 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".