<i>Listeria monocytogenes</i> infection enhances the interaction between rat non-classical MHC-Ib molecule and Ly49 receptors
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Bibliographic record
Abstract
Murine NK cell Ly49 receptors, functionally analogous to KIRs in humans recognize MHC class I molecules and play a key role in controlling NK cell function. We have previously shown that the paired activating Ly49s4 and inhibitory Ly49i4 receptors recognize undefined non-classical MHC-Ib ligands from the RT1-CE region in rats. Here, the RT1-CE16 gene of the RT1 d haplotype was stably transfected into the mouse RAW macrophage cell line, termed RAW-CE16 d cells. Combining RAW-CE16 d cells with Ly49 expressing reporter cells demonstrated Ly49i4 and Ly49s4 specificity for CE16 d . The Ly49s4/i4:CE16 d interaction was confirmed by specific MHC-I blocking monoclonal Abs. Further, we used our in vitro model to study the effect of Listeria monocytogenes (LM) on CE16 d after infection. LM infection and IFN-γ stimulation both led to enhanced CE16 d expression on the surface of transfected RAW-CE16 d cells. Interestingly, the reporter cells displayed increased response to LM-infected RAW-CE16 d cells compared with IFN-γ-treated RAW-CE16 d cells, suggesting a fundamental difference between these stimuli in supporting enhanced Ly49 recognition of CE16 d . Collectively, our data show that Ly49s4 and Ly49i4 recognize the non-classical RT1-CE16 d molecule, which in turn is up-regulated during LM infection and thereby may contribute to NK-mediated responses against infected cells.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 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) | 0.001 | 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 it