Quantitative cell migration analysis of CCR7-mediated lymphocytes migration using a microfluidic device
Bibliographic record
Abstract
Lymphocyte migration is crucial for adaptive immunity. CCR7 and its ligands mediate the migration and positioning of T cells in lymph nodes but the underlying mechanism is complex. The research in this thesis investigated CCR7-mediated T cell migration using a microfluidics-based approach. A microfluidic method suitable for quantitative migration analysis of genetically modified lymphocyte transfectants was developed. Using this method, I demonstrated chemotaxis of Jurkat transfectants expressing wild-type or C-terminal mutated CCR7 to a CCL19 gradient, and characterized the difference in transfectant migration mediated by wild-type and mutant CCR7. The fluorescent tag allows identification of CCR7-expressing transfectants in cell migration analysis, and microscopy assessment of CCR7 dynamics in migrating cells. Furthermore, my results also showed interesting migratory behaviours of CCR7 Jurkat transfectants in a specific co-existing CCL19 and CCL21 fields. This developed method will be broadly useful for studying cell migration signalling.
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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) | 0.001 | 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".