Down-regulation of the Mixed-lineage Dual Leucine Zipper-bearing Kinase by Heat Shock Protein 70 and Its Co-chaperone CHIP
Bibliographic record
Abstract
Dual leucine zipper-bearing kinase (DLK) is a mixed-lineage kinase family member that acts as an upstream activator of the c-Jun N-terminal kinases. As opposed to other components of this pathway, very little is currently known regarding the mechanisms by which DLK is regulated in mammalian cells. Here we identify the stress-inducible heat shock protein 70 (Hsp70) as a negative regulator of DLK expression and activity. Support for this notion derives from data showing that Hsp70 induces the proteasomal degradation of DLK when both proteins are co-expressed in COS-7 cells. Hsp70-mediated degradation occurs with expression of wild-type DLK, which functions as a constitutively activated protein in these cells but not kinase-defective DLK. Interestingly, the Hsp70 co-chaperone CHIP, an E3 ubiquitin ligase, seems to be indispensable for this process since Hsp70 failed to induce DLK degradation in COS-7 cells expressing a CHIP mutant unable to catalyze ubiquitination or in immortalized fibroblasts derived from CHIP knock-out mice. Consistent with these data, we have found that endogenous DLK becomes sensitive to CHIP-dependent proteasomal degradation when it is activated by okadaic acid and that down-regulation of Hsp70 levels with an Hsp70 antisense attenuates this sensitivity. Therefore, our studies suggest that Hsp70 contributes to the regulation of activated DLK by promoting its CHIP-dependent proteasomal degradation.
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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) | 0.001 | 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".