hsp72 Inhibits Focal Adhesion Kinase Degradation in ATP-depleted Renal Epithelial Cells
Bibliographic record
Abstract
Prior heat stress (HS) or the selective overexpression of hsp72 prevents apoptosis caused by exposure to metabolic inhibitors by protecting the mitochondrial membrane and partially reducing caspase-3 activation. Focal adhesion kinase (FAK), a tyrosine kinase, exhibits anti-apoptotic properties and is a potential target for degradation by caspase-3. This study tested the hypothesis that hsp72 interacts with FAK, preventing caspase-3-mediated degradation during ATP depletion. ATP depletion (5 mm NaCN and 5 mm 2-deoxy-d-glucose in the absence of medium glucose) caused FAK degradation within 15 min. FAK degradation was completely prevented by a caspase-3-specific inhibitor. HS induced the accumulation of hsp72, increased the interaction between hsp72 and FAK, and significantly inhibited FAK degradation during ATP depletion. Selective overexpression of wild-type hsp72 (but not hsp72DeltaEEVD) reproduced the protective effects of HS on FAK cleavage. Purified hsp72 prevented the degradation of FAK by caspase-3 in vitro in a dose-dependent manner without affecting caspase-3 activity. Interaction between hsp72 and FAK is critical because both exogenous ATP and deletion of the substrate-binding site decreased protection of FAK by hsp72. These data indicate that FAK is an early target of injury in cells exposed to metabolic inhibitors and demonstrate that hsp72 reduces caspase-3-mediated proteolysis of FAK, an anti-apoptotic protein.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 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".