Absence of Fer Protein-Tyrosine Kinase Exacerbates Leukocyte Recruitment in Response to Endotoxin
Bibliographic record
Abstract
The group IV cytoplasmic protein-tyrosine kinase Fer has been linked to cellular signaling responses to many different stimuli, including growth factors and cytokines. However, the biological relevance of Fer activation in vivo has not been demonstrated to date. Recently, we generated a transgenic mouse line in which Fer protein is expressed but lacks catalytic activity. Homozygous mutant mice were viable and fertile, and showed no overt defects. In this study, we used intravital microscopy to examine the role of Fer kinase in leukocyte recruitment (rolling adhesion and emigration) in response to LPS challenge in skeletal muscle microcirculation. In addition, we measured vascular permeability changes (FITC-albumin leakage, venular-to-interstitial space) in response to Ag to examine general endothelial cell function. Local administration of LPS induced decreased leukocyte rolling velocity and increased leukocyte adhesion and emigration in wild-type mice. LPS-induced changes in leukocyte rolling velocity and rolling flux were not significantly different in Fer mutants. However, LPS-induced leukocyte adhesion (23 +/- 3 vs 11 +/- 3 cells/100 microm) and emigration (100 +/- 5 vs 28 +/- 7 cells/field) were significantly elevated in Fer-mutant mice relative to wild-type mice, respectively, suggesting an essential role for the Fer kinase in regulating inflammation-induced leukocyte emigration. Vascular permeability increases in response to Ag were similar between the two groups, indicating that the ability of endothelial cells to retract is intact in the absence of Fer kinase. These data provide the first evidence for a biological role for Fer in regulation of leukocyte recruitment during the innate immune response.
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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 | 0.002 | 0.001 |
| 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 | 0.000 |
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".