HRV Signaling in Airway Epithelial Cells Is Regulated by ITAM-Mediated Recruitment and Activation of Syk
Bibliographic record
Abstract
Human rhinovirus (HRV), cause of the common cold, is a leading cause of exacerbations of asthma and chronic obstruction pulmonary disease (COPD). Binding of HRV to ICAM (intercellular adhesion molecule)-1, its major receptor, induces a profound inflammatory response from airway epithelial cells. My laboratory has identified Syk tyrosine kinase to be an early regulator of HRV-ICAM-1 signalling: Syk mediates replication-independent p38 mitogen-activated protein (MAP) kinase and phosphatidyl-inositol 3 (PI3)-kinase activation, interleukin (IL)-8 expression, as well as HRV internalization via clathrin-mediated endocytosis. Syk activation is accompanied by formation of a protein complex consisting of ICAM-1, ezrin and Syk at the plasma membrane. However, the molecular mechanisms that regulate this process are not understood. In this report, we investigated the role of the Syk-SH2 domains and the ezrin ITAM (immuno-tyrosine activation motif)-like motif in HRV-induced cell activation using the human BEAS-2B airway epithelial cells. Our observations suggest that the ezrin-ITAM plays a role in Syk recruitment and activation by binding to the Syk tandem SH2 domains, as originally described in the canonical ITAM-mediating signal transduction pathway in hematopoietic cells. This report is the first to demonstrate ITAM-mediated signaling in non-hematopoietic cells, suggesting that this signaling paradigm may be more ubiquitous than previously recognized.
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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 | 0.000 |
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 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".