Ly49 and CD94/NKG2: developmentally regulated expression and evolution
Bibliographic record
Abstract
Summary: Murine natural killer (NK) cells express two families of MHC class I‐specific receptors, namely the Ly49 family and CD94/NKG2 heterodimers. Stochastic co‐expression of these receptors generates diverse receptor repertoires in adult NK‐cell populations, whereas fetal NK cells have much more limited receptor diversity as they mostly express CD94/NKG2A but not Ly49. These receptors are also expressed on CD8+ T cells and NK1.1+ T cells and regulate their functions, but their expression pattern on NK cells is significantly different from those on T cells. Thus, expression of Ly49 and CD94/NKG2 is developmentally regulated. NK cells acquire the Ly49 family of receptors in an orderly manner as they differentiate from bone marrow progenitors in vitro. Similarly, acquisition of CD94 and NKG2 by NK cells as they differentiate from embryonic stem cells is also orderly. To gain insight into the mechanisms regulating Ly49 expression, potential regulatory regions of several Ly49 genes have been examined. Ly49 genes with different expression patterns have remarkably similar sequences in the putative regulatory regions. Finally, a functional Ly49 gene has been identified in baboon, and primate comparisons suggest that functional extinction of the Ly49 gene in the human lineage seems to have been a relatively recent event. This research was supported by the National Cancer Institute of Canada and the Medical Research Council of Canada with core support from the BC Cancer Agency. KM and BW were supported by studentships from the University of British Columbia and the National Science and Engineering Research Council of Canada. RL is a recipient of a Leukemia Research Fund of Canada fellowship. SL was supported by the Deutsche Forschungsgemeinschaft.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".