Fer Kinase Is Required for Sustained p38 Kinase Activation and Maximal Chemotaxis of Activated Mast Cells
Bibliographic record
Abstract
Mast cells play important roles in inflammation and immunity and express the high-affinity immunoglobulin E receptor (Fc epsilon RI) and the receptor protein-tyrosine kinase Kit. Aggregation of Fc epsilon RI via antigen binding elicits signals leading to the release of preformed inflammatory mediators as well as de novo-synthesized lipid mediators and cytokines and to elevated cell adhesion and migration. Here, we report that in mouse bone marrow-derived mast cells, Fer kinase is activated downstream of activated Fc epsilon RI and activated Kit receptor, and this activation is abolished in cells homozygous for a kinase-inactivating mutation in Fer (fer(DR/DR)). Interestingly, the highly related Fps/Fes kinase is also activated upon Fc epsilon RI aggregation. This report represents the first description of a common signaling pathway activating Fer and Fps/Fes. While Fer-deficient cells showed similar activation of the Erk mitogen-activated protein (MAP) kinases, p38 MAP kinase activation was less sustained than that in wild-type cells. Although no major defects were observed in degranulation, leukotriene biosynthesis, and cytokine secretion, Fer-deficient cells displayed increased adhesion and decreased motility upon activation of Fc epsilon RI and the Kit receptor. The restoration of Fer kinase activity in fer(DR/DR) mast cells resulted in prolonged p38 kinase activation and increased antigen-mediated cell migration of sensitized mast cells. Thus, Fer is required for maximal p38 kinase activation to promote the chemotaxis of activated mast cells. Further studies with mast cells derived from fps/fes-deficient mice will be required to provide insight into the role of Fps/Fes in mast cell activation.
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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) | 0.001 | 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 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".