The Interaction of HSP27 with Daxx Identifies a Potential Regulatory Role of HSP27 in Fas‐Induced Apoptosis
Bibliographic record
Abstract
The heat shock protein HSP27 protects cells against a wide variety of toxic treatments and blocks apoptosis induced by exposures to anticancer drugs and activation of the death receptor Fas. The molecular mechanisms of protection are unknown but appear to be regulated by phosphorylation of HSP27. Two apoptotic pathways can be activated downstream of Fas. The Fas-adaptor FADD mediates a caspase-dependent pathway. Fas also activates a caspase-independent pathway which correlates with Fas-induced translocation of Daxx from the nucleus to the cytoplasm and involves the interaction of Daxx with Fas and Ask1. We found that phosphorylated dimers of HSP27 interact with Daxx, preventing its interaction with Ask1 and Fas and blocking Daxx-mediated apoptosis. Expression of HSP27 also prevents the translocation of Daxx from the nucleus to the cytoplasm which is induced upon expression of Ask1 or stimulation of Fas. The observations reveal a new level of regulation of the Fas pathway. Whereas the FADD axis can be modulated by expression of FLIP, a natural inhibitor of FADD, our results show that HSP27 can accomplish a similar function for the Daxx axis.
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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) | 0.003 | 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".