Fascin Is Involved in the Antigen Presentation Activity of Mature Dendritic Cells
Bibliographic record
Abstract
Maturation of dendritic cells (DC) is critical to their development into potent APCs. Upon maturation, DC up-regulate the expression of MHC class II as well as costimulatory and adhesion molecules, all of which are important in Ag presentation. In addition, they undergo structural changes characterized by the expression of numerous long dendrites. Fascin is an actin-bundling protein that has been reported to be important for the development of dendrites. In this study, we evaluated fascin expression and function during DC maturation into potent APC. In vitro, treatment of bone marrow-derived DC (BM-DC) with GM-CSF resulted in increased levels of fascin expression. This increase correlated directly with an increase in MHC class II and B7-2 expression. Fascin expression was decreased by the addition of TGF-ss and increased by the addition TNF-alpha to the culture. These cytokines suppress or enhance DC maturation, respectively. Increased levels of fascin expression were found to correlate with increased APC activity in a one-way MLR. Specific inhibition of fascin expression, using antisense oligonucleotides, markedly reduced this APC allostimulatory activity. These data demonstrate that fascin expression correlates with DC maturation into APC, and it plays a significant role in the ability of DC to function as APC. This observation is the first evidence linking fascin-mediated dendrite formation with the APC activity of DC.
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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) | 0.001 | 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".