Contemplación : Una misión. El mensaje de tibhirine diez anos después
Bibliographic record
Abstract
Cell surface calcium (Ca<sup>2+</sup>) channels permit Ca<sup>2+</sup> ion influx, with Ca<sup>2+</sup> taking part in cellular functions such as proliferation, survival, and activation. The expression of voltage-dependent Ca<sup>2+</sup> (Ca<sub>V</sub>) channels may modulate the growth of hematologic cancers. Profile analysis of Ca<sup>2+</sup> channels, with a focus on the Ca<sup>2+</sup> release-activated Ca<sup>2+</sup> (CRAC) and L-type Ca<sub>V</sub> channels, was performed on RNA sequencing data from lymphoma cell lines and samples derived from patients with diffuse large B cell lymphoma (DLBCL). Ca<sub>V</sub>1.2 expression was found to be elevated in classical Hodgkin lymphoma (CHL) cell lines when compared to other B cell lymphoma cell lines. In contrast, CHL exhibited reduced expression of ORAI2 and STIM2. In our differential expression analysis comparing activated B cell-like DLBCL (ABC-DLBCL) and germinal centre B cell-like DLBCL (GCB-DLBCL) patient samples, ABC-DLBCL revealed stronger expression of Ca<sub>V</sub>1.3, whereas Ca<sub>V</sub>1.1, Ca<sub>V</sub>1.2, and Ca<sub>V</sub>1.4 showed greater expression levels in GCB-DLBCL. Interestingly, no differences in ORAI/STIM expression were noted in the patient samples. As Ca<sup>2+</sup> is known to bind to calmodulin, leading to calcineurin activation and the passage of nuclear factor of activated T cells (NFAT) to the cell nucleus, pathways for calcineurin, calmodulin, NFAT, and Ca<sup>2+</sup> signaling were also analyzed by gene set enrichment analysis. The NFAT and Ca<sup>2+</sup> signaling pathways were found to be upregulated in the CHL cell lines relative to other B cell lymphoma cell lines. Furthermore, the calmodulin and Ca<sup>2+</sup> signaling pathways were shown to be downregulated in the ABC-DLBCL patient samples. The findings of this study suggest that L-type Ca<sub>V</sub> channels and Ca<sup>2+</sup>-related pathways could serve as differentiating components for biologic therapies in targeted lymphoma treatments.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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 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".