β1 Integrin induces adhesion and migration of human Th17 cells via Pyk2‐dependent activation of <scp>P2X4</scp> receptor
Bibliographic record
Abstract
Abstract Integrin‐mediated T‐cell adhesion and migration is a crucial step in immune response and autoimmune diseases. However, the underlying signalling mechanisms are not fully elucidated. In this study, we examined the implication of purinergic signalling, which has been associated with T‐cell activation, in the adhesion and migration of human Th17 cells across fibronectin, a major matrix protein associated with inflammatory diseases. We showed that the adhesion of human Th17 cells to fibronectin induces, via β1 integrin, a sustained release of adenosine triphosphate (ATP) from the mitochondria through the pannexin‐1 hemichannels. Inhibition of ATP release or its degradation with apyrase impaired the capacity of the cells to attach and migrate across fibronectin. Inhibition studies identified a major role for the purinergic receptor P2X4 in T‐cell adhesion and migration but not for P2X7 or P2Y 11 receptors. Blockade of P2X4 but not P2X7 or P2Y 11 receptors reduced cell adhesion and migration by inhibiting activation of β1 integrins, which is essential for ligand binding. Furthermore, we found that β1 integrin‐induced ATP release, P2X4 receptor transactivation, cell adhesion and migration were dependent on the focal adhesion kinase Pyk2 but not FAK. Finally, P2X4 receptor inhibition also blocked fibronectin‐induced Pyk2 activation suggesting the existence of a positive feedback loop of activation between β1 integrin/Pyk2 and P2X4 purinergic signalling pathways. Our findings uncovered an unrecognized link between β1 integrin and P2X4 receptor signalling pathways for promoting T‐cell adhesion and migration across the extracellular matrix.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".