HspB8 and Bag3: A new chaperone complex targeting misfolded proteins to macroautophagy
Bibliographic record
Abstract
Protein quality control involves molecular chaperones that recognize misfolded proteins thereby preventing their aggregation, and associated co-chaperones that modulate substrate sorting between renaturation and proteasomal degradation. We recently described a new chaperone complex that stimulates degradation of protein substrates by macroautophagy. The complex is formed of HspB8, a member of the HspB family of molecular chaperones, which is found mutated in neuromuscular diseases, and Bag3, a member of the co-chaperone family of Bag domain-containing proteins. In this complex, Bag3 was shown to be responsible for macroautophagy stimulation. Here we analyzed the role of the three Bag3 canonical protein interaction domains. We show that the proline-rich region is essential for the Bag3-mediated stimulation of mutated huntingtin clearance. Surprisingly, deletion of the BAG domain that mediates Bag3 interaction with Hsp70 and Blc-2, did not affect its activity. We propose that in the HspB8- Bag3 complex, HspB8 is responsible for recognizing the misfolded proteins whereas Bag3, at least in part through its proline-rich domain, might recruit and activate the macroautophagy machinery in close proximity to the chaperone-loaded substrates.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".