Dynamic accumulation of plasmacytoid dendritic cells in lymph nodes is regulated by interferon-β
Bibliographic record
Abstract
Plasmacytoid dendritic cells (pDCs) represent a major cellular component of our front-line defense against viruses because of their capacity to rapidly secrete type I interferon (IFN)-alpha and -beta after infection. Constant immunosurveillance of the host requires that lymphocytes traffic through lymph nodes (LNs) to sample antigen, yet little is known about the dynamics of pDC accumulation within the secondary lymphoid organs. Here we show that pDCs readily accumulate within the secondary lymphoid organs of mice after virus infection. Interestingly, retention of pDC within LNs is enhanced in the presence of the sphingoshine-1-phosphate receptor agonist FTY720 in a manner similar to that observed for B and T lymphocytes. Ex vivo comparison of mouse pDCs with lymphocytes revealed that pDCs express sphingoshine-1-phosphate 4 and also constitutively express CD69, which is further up-regulated upon virus infection. In IFN-beta(-/-) mice, accumulation of pDC and lymphocytes within LNs is reduced both during viral infection and under steady state conditions, and these defects can be reversed by adding recombinant IFN-beta in vivo. These data suggest that pDC and lymphocytes use similar mechanisms for retention within LNs and that these processes are influenced by IFN-beta even in the absence of viral infection.
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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".