α4 Integrin Signaling Activates Phosphatidylinositol 3-Kinase and Stimulates T Cell Adhesion to Intercellular Adhesion Molecule-1 to a Similar Extent As CD3, but Induces a Distinct Rearrangement of the Actin Cytoskeleton
Bibliographic record
Abstract
Dynamic regulation of beta(2) integrin-dependent adhesion is critical for a wide array of T cell functions. We previously showed that binding of high-affinity alpha(4)beta(1) integrins to VCAM-1 strengthens alpha(L)beta(2) integrin-mediated adhesion to ICAM-1. In this study, we compared beta(2) integrin-mediated adhesion of T cells to ICAM-1 under two different functional contexts: alpha(4) integrin signaling during emigration from blood into tissues and CD3 signaling during adhesion to APCs and target cells. Cross-linking either alpha(4) integrin or CD3 on Jurkat T cells induced adhesion to ICAM-1 of comparable strength. Adhesion was dependent on phosphatidylinositol (PI) 3-kinase but not p44/42 mitogen-activated protein kinase (extracellular regulated kinase 1/2), because it was inhibited by wortmannin and LY294002 but not U0126. These data suggest that PI 3-kinase is a ubiquitous regulator of beta(2) integrin-mediated adhesion. A distinct morphological change consisting of Jurkat cell spreading and extension of filopodia was induced by alpha(4) integrin signaling. In contrast, CD3 induced radial rings of cortical actin polymerization. Inhibitors of PI 3-kinase and extracellular regulated kinase 1/2 did not affect alpha(4) integrin-induced rearrangement of the actin cytoskeleton, but treatment with ionomycin, a Ca(2+) ionophore, modulated cell morphology by reducing filopodia and promoting lamellipodia formation. Qualitatively similar morphological and adhesive changes to those observed with Jurkat cells were observed following alpha(4) integrin or CD3 stimulation of human peripheral blood T cells.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.003 | 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".