Paxillin selectively associates with constitutive and chemoattractant-induced high-affinity α4β1 integrins: implications for integrin signaling
Bibliographic record
Abstract
Leukocyte alpha4beta1 integrins regulate hematopoietic and lymphoid development, as well as the emigration of circulating cells to sites of inflammation. Because vascular cell adhesion molecule-1 (VCAM-1) binding to high-affinity alpha4beta1 is stable, these integrins can be detected and selectively precipitated from cell lysates using VCAM-1/Fc. With this approach, high-affinity alpha4beta1 integrin expression was demonstrated on lymphocytes in the bone marrow, thymus, spleen, and the peritoneal cavity of normal mice, but not in peripheral lymph nodes. Immature lymphocytes preferentially expressed high-affinity alpha4beta1 in the bone marrow and thymus. Paxillin is a cytoplasmic adaptor molecule that can bind to the alpha4 tail and initiate signaling. Paxillin was associated selectively with high-affinity integrins that were isolated from human Jurkat T cells or from murine tissues, and blotting with a phospho-specific antibody demonstrated that Ser988 in the alpha4 cytoplasmic tail was dephosphorylated in high-affinity but not low-affinity integrins. A rapid and transient alpha4beta1 affinity up-regulation in formyl peptide receptor-transfected U937 cells stimulated with N-formyl-methyonyl-leucyl-phenylalanine (fMLP) correlated temporally with induced paxillin binding to alpha4 integrins. These data suggest that ligand binding to high-affinity alpha4beta1 integrins may initiate outside-in signaling cascades through paxillin that regulate leukocyte maturation and emigration.
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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 | 0.001 |
| 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 | 0.000 |
| 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".