Haplotype specific activating NK cell receptors provide recognition of virus-infected cells and mediate resistance to infection (158.7)
Bibliographic record
Abstract
Abstract The ability of numerous activating Ly49 receptors to recognize mouse cytomegalovirus (MCMV) infected cells of various H2 background was examined. Reporter cells expressing either Ly49P1 from NOD/Ltj mice, Ly49L from BALB mice or Ly49D2 from PWK/Pas mice were activated upon co-culture with MCMV infected cells provided the presence of an appropriate H2 molecule and the m04/gp34 viral peptide. Such recognition was most frequent in the H2k background, yet also occurred in the H2d and H2f contexts. To demonstrate whether Ly49 activating receptors confer MCMV resistance, H2 congenic BALB mice were infected with MCMV. Neither BALB.By (H2b) nor BALB/c (H2d) mice were able to control MCMV spread in target organs contrary to BALB.K (H2k) mice, which demonstrated delayed NK cell-mediated virus control. In BALB mice, the antibodies YE1/48 and 12A8 delineate a Ly49L+ NK cell population (YE1/48INT12A8-). BALB.K resilience to the infection correlated with the expansion of the specific Ly49L+ NK cell fraction in the spleen and secretion of IFNγ 6 days after MCMV infection. Adoptive transfer of Ly49L+ but not Ly49L- NK cells provided partial protection from death in neonate BALB.K mice following MCMV infection. Thus, we have uncovered three activating Ly49 receptors partaking in the recognition of MCMV infection by NK cells through an H2- and m04-dependent mechanism, which we find to be more common than the direct recognition of m157.
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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) | 0.004 | 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".