The crosstalk between the caspase family and the cGAS‒STING signaling pathway
Bibliographic record
Abstract
Edited by Jiarui Wu Cytosolic nucleic acid sensors are critical for sensing nucleic acids and initiating innate immunity during microbial infections and/or cell death. Over the last decade, several key studies have characterized the conserved mechanism of cyclic guanosine monophosphate‒adenosine monophosphate synthase (cGAS) and the downstream signaling adaptor stimulator of interferon genes (STING) initiating the innate immune signaling pathways. Aside from its primary involvement in microbial infections and inflammatory diseases, there is growing interest in the alternate roles of cGAS‒STING-mediated signaling. Caspase family members are powerful functional proteins that respond to cellular stress, including cell death signals, inflammation, and innate immunity. Recent studies have uncovered how the caspase family cooperates with the cGAS‒STING signaling pathway. Most caspase family members negatively regulate the cGAS‒STING signaling pathway. In turn, some caspase family members can also be modulated by cGAS‒STING. This review gives a detailed account of the interplay between the caspase family and the cGAS‒STING signaling pathway, which will shed light on developing novel therapeutics targeting the caspase family and cGAS‒STING signaling in antiviral innate immunity, cancer, inflammatory, and autoimmunity.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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".