HspB8, a small heat shock protein mutated in human neuromuscular disorders, has in vivo chaperone activity in cultured cells
Bibliographic record
Abstract
The family of small heat shock proteins (sHsp) is composed of 10 members in mammals, four of which are found mutated in diseases associated with the accumulation of protein aggregates. Though many sHsp have demonstrated molecular chaperone activity in vitro in cell-free conditions, their activity in vivo in the normal cellular context remains unclear. In the present study, we investigated the capacity of the sHsp, HspB8/Hsp22, to prevent protein aggregation in the cells using the polyglutamine protein Htt43Q as a model. In control conditions, Htt43Q accumulated in perinuclear inclusions composed of SDS-insoluble aggregates. Co-transfected with Htt43Q, HspB8 became occasionally trapped within the inclusions; however, in most cells, HspB8 blocked inclusion formation. Biochemical analyses indicated that HspB8 inhibited the accumulation of SDS-insoluble Htt43Q as efficiently as Hsp40 which was taken as a positive control. Htt43Q then accumulated in the SDS-soluble fraction, provided that protein degradation was blocked by proteasome and autophagy inhibitors. In contrast, the other sHsp Hsp27/HspB1 and alphaB-crystallin/HspB5 had no effect. This suggested that HspB8 functions as a molecular chaperone, maintaining Htt43Q in a soluble state competent for rapid degradation. Analyses of Hsp27-HspB8 chimeric proteins indicated that the C-terminal domain of HspB8 contains the specific sequence necessary for chaperone activity. Missense mutations in this domain at lysine 141, which are found in human motor neuropathies, significantly reduced the chaperone activity of the protein. A decrease in the HspB8 chaperone activity may therefore contribute to the development of these diseases.
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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 | 0.000 | 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 | 0.001 |
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".