EXOGENOUS PHOSPHOLIPASE C STIMULATES EPITHELIAL CELL MIGRATION AND INTEGRIN EXPRESSION IN VITRO
Bibliographic record
Abstract
Phospholipase C secreted by bacterial pathogens has been identified as a virulence factor in several human diseases and has been implicated in impeding wound healing. The role of phospholipase C in the intracellular signal control of epithelial growth was studied in normal human skin keratinocytes cultured in conditions simulating aspects of wound healing. Bacillus cereus phospholipase C decreased cell-cell contact and increased cell migration resulting in disruption of the advancing epithelial sheet. Phospholipase C-induced migration was blocked by inhibitor of the phosphoinositol signal transduction pathway neomycin sulfate and protein kinase C inhibitor RO-31-8220. Induced migration was associated with elevated levels of matrix metalloproteinase-9 which, when blocked by tissue inhibitor of metalloproteinase-1, was accompanied by a loss of migration. Adhesion studies showed that phospholipase C treatment enhanced cell binding to fibronectin, vitronectin and collagen IV. Immunostained phospholipase C-stimulated cells cultured on fibronectin showed enhanced expression and relocation of the integrin subunits alpha(v), alpha5 and beta1. Confocal microscopy showed that phospholipase C-induced levels of integrin subunit beta1 were predominantly deposited on the basal surface of the cell apparently in focal contacts and associated with actin stress fibers. These results indicate that exogenous phospholipase C signaling from a bacterial source may play an important role in perturbing normal reepithelialization via altered expression of integrins and matrix metalloproteinase-9.
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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 | 0.001 |
| 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".