Machine learning reveals limited contribution of trans-only encoded variants to the HLA-DQ immunopeptidome

ABSTRACT: HLA-DQ molecules can be formed as both cis and trans variants. So far, the progress for predicting HLA-DQ antigen presentation has been limited. In addition, the contribution of trans-only variants in shaping the HLA-DQ immunopeptidome remains largely unresolved. Here, we address these issues by integrating state-of-the-art immunoinformatics data mining models with large volumes of high-quality HLA-DQ specific immunopeptidomics data. The analysis demonstrated a highly improved predictive power and molecular coverage for models trained with these novel HLA-DQ data and a limited to no contribution for trans-only HLA-DQ variants to the overall HLA-DQ immunopeptidome.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cell Suspension Culture

SUBMITTER: Hooman Yari  

LAB HEAD: William Hildebrand

PROVIDER: PXD040860 | Pride | 2023-05-10

REPOSITORIES: Pride