A β-Arrestin-dependent Scaffold Is Associated with Prolonged MAPK Activation in Pseudopodia during Protease-activated Receptor-2-induced Chemotaxis
Bibliographic record
Abstract
Cell motility during wound healing and inflammation is often dependent on the ability of the cell to sense a gradient of agonist. The first step in this process is the extension of a pseudopod in the direction of the agonist, and a diverse set of signals mediate pseudopod extension by different receptors. We have reported previously that protease-activated receptor-2 (PAR-2), a proinflammatory receptor that is highly expressed in motile cells such as neutrophils, macrophages, and tumor cells, is one of a growing family of receptors that utilizes a beta-arrestin-dependent mechanism for activation of the 42-44-kDa members of the MAPK family (extracellular signal-regulated kinases 1 and 2; ERK1/2). beta-Arrestin-bound PAR-2 serves as a scaffold to sequester a pool of activated ERK1/2 in the cytosol; however, a specific role for the sequestered kinase activity has not been established. We now show that PAR-2 activation promotes ERK1/2- and beta-arrestin-dependent reorganization of the actin cytoskeleton, polarized pseudopodia extension, and chemotaxis. Using subcellular fractionation, confocal microscopy, and physical isolation of pseudopodial proteins, we demonstrate that the previously identified PAR-2/beta-arrestin/ERK1/2 scaffolding complex is enriched in the pseudopodia, where it appears to prolong ERK1/2 activation. These studies suggest that the formation of a beta-arrestin/ERK1/2 signaling complex at the leading edge may be involved in localized actin assembly and chemotaxis and provide the first example of a distinct cellular consequence of beta-arrestin-sequestered ERK1/2 activity.
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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".