The Rap GTPases Regulate Integrin-mediated Adhesion, Cell Spreading, Actin Polymerization, and Pyk2 Tyrosine Phosphorylation in B Lymphocytes
Bibliographic record
Abstract
Integrin-mediated adhesion plays an important role in B cell development and activation. Signaling initiated by antigens, chemokines, or phorbol esters can rapidly convert integrins to an activated adhesion-competent state. The binding of integrins to their ligands can then induce actin-dependent cell spreading, which can facilitate cell-cell adhesion or cell migration on extracellular matrices. The signaling pathways involved in integrin activation and post-adhesion events in B cells are not completely understood. We have previously shown that anti-Ig antibodies, the chemokine stromal cell-derived factor-1 (SDF-1; CXCL12), and phorbol esters activate the Rap1 and Rap2 GTPases in B cells and that Rap activation is essential for SDF-1-induced B cell migration (McLeod, S. J., Li, A. H. Y., Lee, R. L., Burgess, A. E., and Gold, M. R. (2002) J. Immunol. 169, 1365-1371; Christian, S. L., Lee, R. L., McLeod, S. J., Burgess, A. E., Li, A. H. Y., Dang-Lawson, M., Lin, K. B. L., and Gold, M. R. (2003) J. Biol. Chem. 278, 41756-41767). We show here that preventing Rap activation by expressing Rap-specific GTPase-activating protein II (RapGAPII) significantly decreased lymphocyte function-associated antigen-1- and alpha(4) integrin-dependent binding of murine B cell lines to purified adhesion molecules and to other cells. Conversely, augmenting Rap activation by expressing a constitutively active form of Rap2 enhanced B cell adhesion, showing for the first time that Rap2 can promote integrin activation. We also show that blocking Rap activation inhibited anti-Ig-induced cell spreading and phorbol ester-induced actin polymerization as well as anti-Ig- and SDF-1-induced phosphorylation of Pyk2, a tyrosine kinase involved in morphological changes and chemokine-induced B cell migration. Thus, the Rap GTPases regulate integrin-mediated B cell adhesion as well as processes that control B cell morphology and migration.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".