Paxillin Binding to a Conserved Sequence Motif in the α4 Integrin Cytoplasmic Domain
Bibliographic record
Abstract
alpha(4)beta(1) integrin-mediated cell adhesion results in increased cell migration, reduced cell spreading, and focal adhesion formation relative to other beta(1) integrins. Paxillin, a signaling adapter protein, binds tightly to the alpha(4) cytoplasmic domain and is implicated in alpha(4) integrin signaling. We now report the mapping of a paxillin-binding site in the alpha(4) cytoplasmic domain and an assessment of its role in the alpha(4) tail-specific integrin functions. By using truncation mutants and a peptide competition assay, we found that a region of 9 amino acid residues (Glu(983)-Tyr(991)) within the alpha(4) cytoplasmic domain contains a minimal sequence sufficient for paxillin binding. Alanine scanning of this region implicated Tyr(991) and Glu(983) as critical residues. The role of these residues was confirmed by introducing these Ala substitutions into the full-length alpha(4) tail sequence. Y991A or E983A substitution disrupted the interaction of alpha(4) integrins with paxillin. These same two point mutations reversed the effects of the alpha(4) tail on cell spreading. The key features of the identified paxillin-binding sequence are present in all alpha(4) integrins sequenced to date, including that from Xenopus laevis. The maintenance of this sequence motif suggests that paxillin binding is an evolutionarily conserved function of alpha(4) integrins.
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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) | 0.002 | 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".