Novel mouse NK progenitors in lymph node: developmental origin and functional contributions. (138.1)
Bibliographic record
Abstract
Abstract Natural killer (NK) cells are widely distributed in various tissues. Among them, lymph node (LN) NK cells have been shown to differ from spleen NK cells in their phenotype and function. About ~20% of LN NK cells have rearranged TCRγ genes, express CD127+ (IL-7Rα), and they are thought to derive from the thymus. However, LN NK cells from nude mice are normal in number and phenotype, suggesting that the majority of LN NK cells are thymus-independent. We have recently found a novel cell population in the LN of C57/BL6 mice that is lineage (LIN)-negative but expresses the pan NK cell marker CD49b (DX5). LIN-CD49b+ cells are also found in the bone marrow (BM), but they differ from the LN counterparts. BM LIN-CD49b+ cells are Sca-1locKithiCD127- and include common lymphoid progenitors and other immature hematopoietic progenitors whereas LN LIN-CD49b+ cells are Sca-1+cKit-CD127+. When cultured on OP9 stroma cells, LN LIN-CD49b+ cells acquire the NK cells markers NK1.1, CD122 and Ly49 as well as cytotoxic function and IFN-γ production. They also retain CD127 expression. The precursor frequency of NK progenitors among LIN- CD49b+ cells in LN and BM are 1/40 and 1/13, respectively. Thus, LN LIN- CD49b+ cells seem to represent a novel NK progenitor that migrates from the BM to the LN for final differentiation into unique subsets of mature NK cells. This work is supported by a grant from the German Research Council (DFG) and the National Cancer Institute of Canada.
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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) | 0.001 | 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.005 |
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".