Uptake of poly(<scp>D,L</scp>‐lactic‐<i>co</i>‐glycolic acid) microspheres by antigen‐presenting cells <i>in vivo</i>
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Dendritic cells are the most potent antigen-presenting cells (APC) and the most effective stimulators of primary T cell responses. Based on the strong influence of the APC on the immune response, we investigated cellular uptake of a biodegradable antigen delivery system, poly(D,L-lactic-co-glycolic acid) (PLGA) microspheres, at two sites of injection: intraperitoneal and intradermal. We hypothesized that a fluorescent probe, tetramethylrhodamine labeled dextran, loaded in PLGA microspheres would be taken up by APCs and thereby provide a means for studying cellular uptake of PLGA microspheres in vivo. Phagocytic load and cell phenotype were determined using flow cytometry and confocal laser scanning microscopy. The results revealed cellular uptake of tetramethylrhodamine dextran loaded PLGA microspheres at both injection sites. After intraperitoneal immunization, the predominant cell phagocytosing PLGA microspheres in the peritoneal cavity was the macrophage whereas the intradermal immunization resulted in uptake of PLGA microspheres by dendritic cells. Hence, these results suggest that the profile for cellular uptake varies with the site of injection. More importantly, this study provides direct and conclusive evidence of uptake of PLGA microspheres by the most potent APC, the dendritic cell.
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.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 it