Thy-1 signaling in murine T cells promotes cytokine polarization (90.20)
Bibliographic record
Abstract
Abstract Glycosylphosphatidylinositol-anchored proteins (GPI-AP) that provide activating signals to T cells have been implicated in T cell-mediated immune responses. The effect of GPI-AP signaling on cytokine production and the development of effector T lymphocyte phenotypes remains unclear. In this study, highly pure resting T cells were stimulated with either anti-Thy-1 or anti-TcR monoclonal antibody (mAb) along with costimulatory signals provided by LPS-matured dendritic cells. At concentrations of mAb that induced optimal proliferation, Thy-1-activated T cells proliferated ~2-fold less than TcR-activated T cells. Analysis of cytokine production using cytokine arrays and ELISA showed that Thy-1 signaling induced significantly less IL-2 and IFN-γ synthesis than TcR signaling. Interestingly, Thy-1-stimulated T cells produced significantly more IL-17 and IL-4 than TcR-stimulated T cells. Cytokine polarization was unique to Thy-1, as T cells stimulated with mAb against the GPI-AP Ly6A/E did not produce appreciable levels of IL-17 or IL-4. These results support previous reports that Thy-1 signaling differs from TcR signaling and suggest that Thy-1 may provide polarizing signals that promote the development of Th17 and Th2 cells. Thy-1 and other GPI-AP proteins require further study to elucidate their possible roles in influencing the nature of T cell-mediated immune responses. Research was funded by NSERC
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How this classification was reachedexpand
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 | 0.002 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".