Cutting Edge: Dendritic Cell Actin Cytoskeletal Polarization during Immunological Synapse Formation Is Highly Antigen-Dependent
Bibliographic record
Abstract
Dendritic cells (DC) actively rearrange their actin cytoskeleton to participate in formation of the immunological synapse (IS). In this study, we evaluated the requirements for DC participation in the IS. DC rearrange their actin cytoskeleton toward naive CD4(+) T cells only in the presence of specific MHC-peptide complexes. In contrast, naive CD4(+) T cells polarized their cytoskeletal proteins in the absence of Ag. DC cytoskeletal rearrangement occurred at the same threshold of peptide-MHC complexes as that required for T cell activation. Furthermore, T cell activation was inhibited by specific blockade of DC cytoskeletal rearrangement. When TCR-MHC interaction was bypassed by using Con A-activated T cells, DC polarization was abrogated. In addition, directional ligation of MHC class II resulted in DC cytoskeletal polarization. Our findings suggest that a high Ag specificity is required for DC IS formation and that MHC class II signaling plays a central role in this process.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".