The small heat shock protein Hsp27 undergoes ERK‐dependent phosphorylation, redistribution to the cell periphery and insolubilization in response to dual leucine zipper‐bearing kinase expression in human keratinocytes
Bibliographic record
Abstract
Hsp27 plays important roles in many cellular processes, including cytoskeleton dynamic, cell differentiation and apoptosis. Its expression in normal human epidermis correlates with differentiation. However, little is known about the regulatory mechanisms involved. In this study, we report that Hsp27 undergoes up‐regulation, phosphorylation, redistribution to the cytoskeleton and insolubilization during the late phase of epidermal keratinocyte differentiation. Our results also demonstrate that expression of dual leucine zipper‐bearing kinase (DLK), an upstream activator of the MAPKinase pathways, is alone sufficient to induce those modifications of Hsp27 in poorly differentiated normal human keratinocytes. Interestingly, the effects of DLK on Hsp27 were blocked by the PD98059, a selective inhibitor of the ERK pathway. Also, preliminary results indicate that knock down of Hsp27 using siRNA in HaCat cells expressing DLK decreases the amount of insoluble cornified envelope precursors such as involucrin. Thus, these observations suggest that the DLK‐ERK signaling pathway may act as a regulator of the interactions that occurs between Hsp27 and the cytoskeleton during formation of the cornified cell envelope.
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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".