MHC class I D <sup>k</sup> expression in hematopoietic and nonhematopoietic cells confers natural killer cell resistance to murine cytomegalovirus
Bibliographic record
Abstract
NK cell-mediated murine cytomegalovirus (MCMV) resistance (Cmv(r)) is under H-2(k) control in MA/My mice, but the underlying gene(s) is unclear. Prior genetic analysis mapped Cmv(r) to the MHC class I (MHC-I) D(k) gene interval. Because NK cell receptors are licensed by and responsive to MHC class I molecules, D(k) itself is a candidate gene. A 10-kb genomic D(k) fragment was subcloned and microinjected into MCMV-susceptible (Cmv(s)) (MA/My.L-H2(b) x C57L)F(1) or (B6 x DBA/2)F(2) embryos. Transgenic founders, which are competent for D(k) expression and germline transgene transmission, were identified and further backcrossed to MA/My.L-H2(b) or C57L mice. Remarkably, D(k) expression delivered NK-mediated resistance in either genetic background. Further, NK cells with cognate inhibitory Ly49G receptors for self-MHC-I D(k) were licensed and critical in protection against MCMV infection. In radiation bone marrow chimeras, NK resistance was significantly diminished when MHC-I D(k) expression was restricted to only hematopoietic or nonhematopoietic cells. Thus, MHC-I D(k) is the H-2(k)-linked Cmv(r) locus; these findings suggest a role for NK cell interaction with D(k)-bearing hematopoietic and nonhematopoietic cells to shape NK-mediated virus immunity.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".