L-arginine inhibits apoptosis via a NO-dependent mechanism in Nb2 lymphoma cells
Why this work is in the frame
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Bibliographic record
Abstract
Prolactin (PRL) inhibits apoptosis and stimulates proliferation of the PRL-dependent rat Nb2 lymphoma cell line by divergent signaling pathways. Nitric oxide (NO) was recently identified as a downstream regulator of PRL action, and as an inhibitor of apoptosis in immune cells. In the present study, the role of NO in PRL-regulated Nb2 cell function was investigated. Nb2 cells expressed the endothelial nitric oxide synthase (eNOS) isoform, whereas neuronal NOS (nNOS) and inducible NOS (iNOS) mRNAs were undetectable. The eNOS mRNA was abundantly expressed in PRL-deprived, growth-arrested cells but decreased by at least 3-fold at 3-24 h following PRL treatment. Downregulation of eNOS was not accompanied by a corresponding decrease in the eNOS protein, the level of which remained constant for at least 24 h after PRL treatment. PRL had no effect on the phosphorylation state or subcellular redistribution of the eNOS enzyme, or on production of NO by Nb2 cells. However, increasing concentrations of L-arginine (NOS substrate) alone increased NO production in these cells and significantly enhanced PRL-stimulated cell proliferation. NO releasers (SNAP, DEA/NO, SIN-1) also significantly enhanced Nb2 cell proliferation in the presence of a submaximal dose of PRL (0.125 ng/ml). In the absence of PRL, the NO releasers alone promoted cell survival and maintained a viable cell density significantly higher than that of untreated PRL-deprived cells. L-arginine or the NO releaser DEA/NO alone significantly inhibited apoptosis in Nb2 cells deprived of PRL for 5 days. Expression of the anti-apoptotic gene bcl-2, which was stimulated within 1 h by PRL, was upregulated by L-arginine or DEA/NO alone at 2 h and 8 h, respectively. These findings suggest that NO produced by eNOS inhibits apoptosis and promotes the survival of growth-arrested Nb2 lymphoma cells via a prolactin-independent, Bcl-2-mediated pathway.
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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) | 0.001 | 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 it