Identification of both myeloid CD11c<sup>+</sup> and lymphoid CD11c<sup>−</sup> dendritic cell subsets in cord blood
Bibliographic record
Abstract
Dendritic cells (DCs) are the most potent antigen-presenting cells described to date. In human peripheral blood, both myeloid and lymphoid subsets of DCs have been identified. In contrast, cord blood (CB) DCs have recently been described as being exclusively of the immature CD11c- lymphoid DC subset. Using an alternative method of enrichment, based on a negative selection system, both lymphoid (HLA-DR+ CD123+++ CD11c- CD33-) and myeloid (HLA-DR++ CD123+ CD11c+ CD33+) DCs were identified in CB. Although the majority of CB DCs showed a lymphoid phenotype, a significant number of CD11c+ myeloid DCs (25.6% +/- 14.5%, n = 13) were also present. Other markers, such as CD80 and CD83, were negative in both subsets. Analyses of the allostimulatory capacity of both subsets showed that freshly isolated CB lymphoid DCs failed to induce a potent allostimulation of naive CB T cells. These features are therefore consistent with previous work reporting an immature phenotype for lymphoid DCs in adult blood. The significance of the inverted CD11c+/CD11c- ratio observed in CB DCs (1:3) with respect to adult blood DCs (3:1) remains to be explained.
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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 | 0.001 | 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 | 0.001 |
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".