Characterization of naturally processed and presented peptides associated with bovine major histocompatibility complex (BoLA) class II DR molecules
Bibliographic record
Abstract
Differential regulation of genetic resistance to infectious disease may partially be explained by variation in the binding affinity and the repertoire of pathogen-derived antigenic peptides associated with major histocompatibility complex (MHC) molecules. In this study, we investigated characteristics of peptides that bind to the bovine MHC allele BoLA-DRB3*2703, which is associated with occurrence of clinical mastitis in Holstein dairy cattle, and assigned a putative peptide-binding motif to this allele. This was achieved by in vitro expression of allele *2703 as well as a control allele, BoLA-DRB3*1201 which is present at high frequency in Holsteins. Transfected cell lines alone (for allele *1201) or in combination with blood mononuclear cells from an animal homozygous for allele *2703 were used as the source of naturally processed and presented peptides. Subsequent to elution of peptides from BoLA-DR+ cells, their sequences were determined by electrospray ionization mass spectrometry. Eluted peptides were between 13 and 20 amino acids long and the majority were in sets of overlapping sequences. These peptides were derived from intra- and extracellular proteins, as well as foreign proteins present in the culture medium. Some peptides had originated from molecular chaperones present in the endoplasmic reticulum, such as ER-60 and GRP78, pointing to some degree of overlap and cross-sampling between MHC class I and class II antigen presentation pathways. Consistent with reports of human and mouse MHC class II-associated peptides, putative peptide-binding motifs could be assigned to alleles *2703 and *1201, comprising a hydrophobic or an aromatic residue at relative position 1, a hydrophobic residue at position 4 and a small residue at position 6 of the eluted peptides. These findings provide the foundation for future studies of molecular mechanisms of MHC-disease associations of cattle.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".