ERAAP Shapes the Peptidome Associated with Classical and Nonclassical MHC Class I Molecules
Bibliographic record
Abstract
The peptide repertoire presented by classical as well as nonclassical MHC class I (MHC I) molecules is altered in the absence of the endoplasmic reticulum aminopeptidase associated with Ag processing (ERAAP). To characterize the extent of these changes, peptides from cells lacking ERAAP were eluted from the cell surface and analyzed by high-throughput mass spectrometry. We found that most peptides found in wild-type (WT) cells were retained in the absence of ERAAP. In contrast, a subset of "ERAAP-edited" peptides was lost in WT cells, and ERAAP-deficient cells presented a unique "unedited" repertoire. A substantial fraction of MHC-associated peptides from ERAAP-deficient cells contained N-terminal extensions and had a different molecular composition than did those from WT cells. We found that the number and immunogenicity of peptides associated with nonclassical MHC I was increased in the absence of ERAAP. Conversely, only peptides presented by classical MHC I were immunogenic in ERAAP-sufficient cells. Finally, MHC I peptides were also derived from different intracellular sources in ERAAP-deficient cells.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".