Fluorescent Biosensors for the Detection of HMGB1 Release
Bibliographic record
Abstract
During necrosis and following some instances of apoptosis (in particular in the absence of a proficient phagocytic system), the nonhistone chromatin component high-mobility group box 1 (HMGB1) is released in the extracellular space. In vivo, extracellular HMGB1 can bind Toll-like receptor 4 on the surface of dendritic cells, de facto operating as a danger-associated molecular pattern and alarming the organism to the presence of stressful conditions. Recent results indicate that the release of HMGB1 is one of the key features for cell death to be perceived as immunogenic, i.e., to be capable of triggering a cognate immune response in vivo. Thus, only anticancer agents that-among other features-allow for the release of HMGB1 as they induce cell death are expected to stimulate anticancer immune responses. To investigate the immunogenic potential of conventional anticancer agents and novel cell death inducers on a high-throughput scale, we engineered human osteosarcoma U2OS cells to express HMGB1 fused at the N-terminus of the green fluorescent protein (GFP). Coupled to fluorescence microscopy workstations for automated image acquisition and analysis, this HMGB1-GFP-based biosensor is amenable for the identification of potential inducers of immunogenic cell death among large chemical libraries.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".