Src kinase Hck association with the WASp and mDia1 cytoskeletal regulators promotes chemoattractant-induced Hck membrane targeting and activation in neutrophilsThis paper is one of a selection of papers published in this Special Issue, entitled CSBMCB’s 51st Annual Meeting – Epigenetics and Chromatin Dynamics, and has undergone the Journal’s usual peer review process.
Bibliographic record
Abstract
The haemopoietic cell kinase (Hck) plays an important but poorly understood role in coupling chemoattractant stimuli to the actin cytoskeletal rearrangement required for neutrophil polarization and chemotaxis. Here, we show that Hck coimmunoprecipitates with the cytoskeletal regulatory Wiskott-Aldrich syndrome protein (WASp) and mammalian diaphanous-related formin 1 (mDia1) in chemoattractant-stimulated neutrophils, and that the 3 proteins inducibly colocalize with one another at the leading edge of chemotaxing cells. Hck interaction with WASp was found to be mediated by the Hck SH3 domain binding to the WASp proline-rich region, while Hck interaction with mDia1 was indirect but was required for binding to WASp. In contrast to wild-type cells, both WASp- and mDia1-deficient neutrophils showed severe impairment of chemokine-induced Hck membrane translocation and induction of Hck binding to WASp, and Hck activation and WASp tyrosine phosphorylation were impaired in mDia1-/- cells. Thus, chemotactic stimulation appears to induce an mDia1/Hck/WASp complex required for Hck membrane targeting and for induction of the Hck-mediated WASp tyrosine phosphorylation thought to be required for WASp-driven actin polymerization. These findings reveal that Hck functions in neutrophils to be realized, at least in part, via its interaction with mDia1 and WASp, and identifies the mDia1/Hck/WASp axis as a cytoskeletal signaling interface linking tyrosine phosphorylation to chemotactic and, possibly, other actin-based neutrophil responses.
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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) | 0.002 | 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".