The eosinophil actin cytoskeleton undergoes rapid rearrangement in response to fluid shear stress
Bibliographic record
Abstract
The regulatory processes involved in eosinophil trafficking into tissues are poorly understood; therefore, it is crucial to elucidate these mechanisms to advance the quality of clinical care for patients with eosinophil-mediated diseases. The complex interactions between eosinophil integrin receptors and their corresponding ligands on the post-capillary venules of the bronchial endothelium result in distinct modifications to the cytoskeletal architecture that occur in coordinated, temporally regulated sequences. The current study utilizes real-time confocal microscopy and time-based immunofluorescence staining to further characterize the effects of physiologically relevant fluid shear stress on this novel phenomenon of perfusion-induced calcium response. We found that the mere perfusion of fluid over adhered human eosinophils induced a release of intracellular calcium observed in conjunction with changes in cell morphology (flattening onto the coverslip surface, an increase in surface area, and a loss of circularity), suggesting a previously unknown mechanosensing aspect of eosinophil migration out of the vasculature. Although changes in morphology and degree of calcium release remained consistent across varying perfusion rates, the latency of the response was highly dependent on the degree of shear stresses. Eosinophils were fixed post-perfusion at specific timepoints for immunofluorescence staining to track proteins of interest over time. The distribution of proteins was diffuse throughout the cell prior to perfusion; however, they quickly localized to the periphery of the cell within 5 min. The actin cytoskeleton became markedly built up at the cell edges rapidly after stimulation, forming punctate dots by 4 min, suggesting a pivotal role in directed cell motility.
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".