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 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".