Vesicle Size Influences the Trafficking, Processing, and Presentation of Antigens in Lipid Vesicles
Bibliographic record
Abstract
Although it is accepted that particulate Ags are more immunogenic than soluble Ags in vivo, it is unclear whether this effect can be explained solely through enhanced uptake by APCs. In this study we demonstrate that vesicle size modulated the efficiency of Ag presentation by murine macrophages and that this effect was accompanied by a profound change in trafficking of Ag. Ag prepared in large particles (560 nm) was delivered into early endosome-like, immature phagosomes, whereas smaller vesicles (155 nm) and soluble Ags localized rapidly to late endosomes/lysosomes. However, peptide/class II complexes could be detected in both compartments. Phagosomes formed on uptake of large vesicles recruit Ag-processing apparatus while retaining the characteristics of early endosomes. In contrast, smaller vesicles bypassed this compartment, appeared to go more rapidly to lysosomal compartments, and exhibited reduced Ag-presenting efficiency. We conclude that the ability of phagocytosed, particulate Ag to target early phagosomes results in more efficient Ag presentation.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".