Ryanodine receptor signaling is required for anti‐CD3‐induced T cell proliferation, interleukin‐2 synthesis, and interleukin‐2 receptor signaling
Bibliographic record
Abstract
Ryanodine receptors (RyR) are involved in regulating intracellular Ca(++) mobilization in T lymphocytes. However, the importance of RyR signaling during T cell activation has not yet been determined. In this study, we have used the RyR-selective antagonists, ruthenium red and dantrolene, to determine the effect of RyR blockade on T cell receptor-mediated activation events and cytokine-dependent T cell proliferation. Both ruthenium red and dantrolene inhibited DNA synthesis and cell division, as well as the synthesis of interleukin (IL)-2 by T lymphocytes responding to mitogenic anti-CD3 antibody. Blockade of RyR at initiation of culture or as late as 24 h after T cell receptor stimulation inhibited T cell proliferation, suggesting a requirement for sustained RyR signaling during cell cycle progression. Although flow cytometry revealed that RyR blockade had little effect on activation-induced expression of the alpha chain (CD25) of the high affinity IL-2 receptor, the inhibitory effect of RyR antagonists could not be reversed by the addition of exogenous IL-2 at initiation of culture. In addition, both ruthenium red and dantrolene had a strong inhibitory effect on IL-2-dependent proliferation of CTLL-2 T cells. These data indicate that RyR are involved in regulating IL-2 receptor signaling that drives T cell progression through the cell cycle. We conclude that RyR-associated Ca(++) signaling regulates T cell proliferation by promoting both IL-2 synthesis and IL-2-dependent cell cycle progression.
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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) | 0.001 | 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 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".