NADPH oxidase 2 activity modulates antigen processing and epitope repertoires (P5186)
Bibliographic record
Abstract
Abstract Phagocytes such as macrophages and dendritic cells are essential to both the innate and acquired immune systems of mammals. To produce effective immune responses, material antigens must first be processed and presented by phagocytes. The importance of antigen processing is often overlooked, which is exemplified by current therapies focusing on downstream immune processes in T cells and B cells. However, these therapies often result in modulation of the immune system as a whole. Instead, it would be ideal to modulate antigen processing to prevent the generation of epitopes able to stimulate and re-stimulate specific T cells. Antigen processing within phagosomes is a dynamic process influenced by several environmental factors such as pH and oxidative burst. Of particular importance to our lab is the oxidative burst generated by the protein complex NADPH oxidase 2. Our lab has previously published data showing that regulation of NADPH oxidase 2 activity results in modulation of phagosomal proteolysis through modulation of cysteine cathepsin activity. We further hypothesize that protein antigen processing and epitope repertoire generation can be predicted and more importantly influenced by changing the activity of NADPH oxidase 2. Using a combination of fluorometric data, HPLC, and mass spectrometry we have begun to show, through preliminary data, that epitope repertoires can indeed be influenced without knocking down antigen processing and presentation as a whole.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 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".