Glycogen synthase kinase-3 regulates formation of long lamellipodia in human keratinocytes
Bibliographic record
Abstract
During wound healing, keratinocytes initiate migration from the wound edge by extending lamellipodia into a fibronectin-rich provisional matrix. While lamellipodia-like structures are also found in cultured keratinocytes exposed to epidermal growth factor (EGF), the signaling pathway that regulates the formation of these structures is not defined. In cultured human keratinocytes seeded on fibronectin, we found that protein-serine/threonine kinase inhibitors including staurosporine, induced concentration-dependent formation of extended lamellipodia (E-lams). The formation of E-lams was inhibited by the proteintyrosine kinase inhibitors herbimycin A and genistein and augmented by the protein-tyrosine phosphatase inhibitor sodium orthovanadate. Staurosporine treatment induced relocation of tyrosine phosphorylated phospholipase C-gamma1 (PLC-gamma1) to the tips of lamellipodia where actin assembly was initiated. Consistent with an involvement of PLC-gamma1 in E-lam formation, intracellular free calcium (Ca2+) was elevated during the formation of E-lams and conversely, E-lam formation was blocked by intracellular Ca2+ chelation with BAPTA/AM, but not by extracellular reduction of Ca2+ by EGTA. Notably, glycogen synthase kinase-3alpha/beta (GSK-3alpha/beta) was activated by staurosporine as evidenced by reduced phosphorylation on Ser-21/9. Suppression of GSK-3 activity by LiCl2 or by a specific chemical inhibitor, SB-415286, blocked E-lam formation but without altering cell spreading. Furthermore, GSK-3 inhibitors blocked both staurosporine- and EGF-induced keratinocyte migration in scratch-wounded cultures. We propose that GSK-3 plays a crucial role in the formation of long lamellipodia in human keratinocytes and is potentially a central regulatory molecule in epithelial cell migration during wound healing.
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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 | 0.001 |
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".