GTP-dependent Secretion from Neutrophils Is Regulated by Cdk5
Bibliographic record
Abstract
We have previously shown evidence for the existence of a calcium-independent, GTP-regulated mechanism of secretion from neutrophils, but this secretory mechanism remains to be fully elucidated. Cyclin-dependent kinase 5 (Cdk5), the various substrates of which include Munc18 and synapsin 1, has been implicated in neuronal secretion. Although the Cdk5 activator, p35, and Cdk5-p35 activity are primarily associated with neurons, we report here that p35 also exists in neutrophils and that an active Cdk5-p35 complex is present in these cells. Cdk5-p35 activity in human neutrophils is mostly localized in secretory granules, which show an increase in Cdk5-p35 level and activity upon GTP stimulation. The potent Cdk5 inhibitor, roscovitine, completely blocks GTP-stimulated granule Cdk5 activity, which accompanies lactoferrin secretion from neutrophil-specific granules. Roscovitine also inhibits GTP-induced lactoferrin secretion and surface localization of the secretion markers, CD63 and CD66b, to a certain extent. Furthermore, neutrophils from wild-type mice treated with roscovitine and neutrophils from p35(-/-) mice exhibit comparable surface expression levels of both CD63 and CD66b upon GTP stimulation. Although our data suggest that other molecules control GTP-induced secretion from neutrophils, it is clear that Cdk5-p35 is required to elicit the maximum GTP-induced secretory response. Our observation that multiple proteins in neutrophil granules serve as specific substrates of Cdk5 further supports the premise that the kinase is a key component of the GTP-regulated secretory apparatus in neutrophils.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 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".