Microfluidic‐based, live‐cell analysis allows assessment of NK‐cell migration in response to crosstalk with dendritic cells
Bibliographic record
Abstract
Migration and localization of NK cells into peripheral tissues are tightly regulated under normal and pathological conditions. The physiological importance of NK cell-DC crosstalk has been well documented. However, the ways in which DCs regulate the migratory properties of NK cells (such as chemotaxis, chemokinesis, chemo-repulsion) are not fully defined in vitro. Here, we employed a microfluidic platform to examine, at the single-cell level, C57BL/6 NK-cell migrations in a stable chemical gradient. We observed that soluble factors released by the immature and LPS-activated mature DCs induced a high level of chemotactic movement of IL-2-activated NK cells in vitro. We confirmed these findings in a standard trans-well migration assay, and identified CXCR3 as a key receptor on the NK cells that mediated the migration. More interestingly, we revealed a novel function of granulocyte macrophage colony-stimulating factor in repulsing NK-cell migrations. The future uses of such microfluidic device in the systematic evaluations of NK-cell migratory responses in NK cell-DC crosstalk will provide new insights into the development of DC-based NK-cell therapies against tumor and infections.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 teacher head, 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".