Src Homology 2–Containing Inositol 5′-Phosphatase 1 Negatively Regulates IFN-γ Production by Natural Killer Cells Stimulated with Antibody-Coated Tumor Cells and Interleukin-12
Bibliographic record
Abstract
We have previously shown that natural killer (NK) cells secrete a distinct profile of immunomodulatory cytokines in response to dual stimulation with antibody-coated tumor cells and interleukin-12 (IL-12). This NK cell cytokine response is dependent on synergistic signals mediated by the activating receptor for the Fc portion of IgG (FcgammaRIIIa) and the IL-12 receptor (IL-12R), both constitutively expressed on NK cells. The phosphatase Src homology 2-containing inositol 5'-phosphatase 1 (SHIP1) is known to exert inhibitory effects on Fc receptor (FcR) signaling via its enzymatic activity on phosphatidylinositol 3-kinase (PI3-K) products within many cells of the immune system, most notably mast cells, B cells, and monocytes. However, its activity in the context of FcR activation on NK cells has not been fully explored. The current study focused on the regulation of FcgammaRIIIa-induced NK cell cytokine production by SHIP1. Inhibitor studies showed that NK cell IFN-gamma production following FcR stimulation in the presence of IL-12 depended, in part, on the downstream products of PI3-K. Overexpression of wild-type (WT) SHIP1, but not a catalytic-deficient mutant, via retroviral transfection of primary human NK cells, resulted in a >70% reduction of NK cell IFN-gamma production in response to costimulation. In addition, NK cells from SHIP1-/- mice produced 10-fold greater amounts of IFN-gamma following culture with antibody-coated tumor cells plus IL-12 compared with NK cells from WT mice. Further, activation of the mitogen-activated protein kinase (MAPK) family member extracellular signal-regulated kinase (Erk; a downstream target of PI3-K) was significantly enhanced within SHIP1-/- NK cells compared with WT NK cells following costimulation. Pharmacologic inhibition of Erk activity, but not Jnk MAPK activity, led to significantly decreased IFN-gamma production from both SHIP1-/- and WT NK cells under these conditions. These results are the first to show a physiologic role for SHIP1 in the regulation of NK cell cytokine production and implicate PI3-K in the induction of MAPK signal transduction following costimulation of NK cells via the FcR and the IL-12R.
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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) | 0.001 | 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 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".