Abstract 4327: Development of bioluminescent biosensors to monitor the interaction betweenGSDMD and caspase-1 in living cells
Bibliographic record
Abstract
Abstract Gasdermin D (GSDMD) is the key executioner of pyroptosis, an inflammatory form of programmed cell death implicated in various inflammation-driven diseases, including cancer, heart failure and strokes. The interaction between GSDMD and caspase-1 (CASP1) orchestrates the critical pathway of GSDMD-mediated pyroptosis. During pyroptosis, pyroptosis stimuli activate CASP1, which subsequently binds to and cleave GSDMD between GSDMD’s N- and C-terminal domains. The free N-terminal domains oligomerize and translocate to the cell membrane, forming pores and releasing proinflammatory cytokines and causing cellular lysis. Key interaction sites have been identified for GSDMD recognition and engagement by CASP1; therefore, blocking functionally significant residues presents a new therapeutic strategy for inhibiting CASP1-induced GSDMD cleavage and pyroptosis. Currently, there is no small molecule capable of specifically disrupting the GSDMD and CASP1 interaction. In response, the ongoing pursuit of identifying potential inhibitors is a driving force for developing a biosensor capable of monitoring this interaction and their roles in downstream pyroptotic effects. In this study, we utilized the NanoLuc Binary Technology (NanoBiT) to construct several bioluminescent biosensors comprising two NanoLuc luciferase enzyme fragments (LgBiT and SmBiT) fused to GSDMD and CASP1, respectively, in various combinations. Further validation of these biosensors by luciferase assays in living cells identified a GSDMD-CASP1 biosensor with highest luciferase activity. This newly developed biosensor paves the way for high-throughput screens to identify novel small molecule inhibitors disrupting the GSDMD-CASP1 interplay. These small molecule inhibitors will effectively impede GSDMD-mediated pyroptosis, holding promise for novel therapies of various human diseases. Citation Format: Tynan Kelly. Development of bioluminescent biosensors to monitor the interaction betweenGSDMD and caspase-1 in living cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4327.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".