Proteomics

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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): TripleTOF 5600

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

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

Nilsson Jonas Birkelund JB   Kaabinejadian Saghar S   Yari Hooman H   Peters Bjoern B   Barra Carolina C   Gragert Loren L   Hildebrand William W   Nielsen Morten M  

Communications biology 20230421 1


Human leukocyte antigen (HLA) class II antigen presentation is key for controlling and triggering T cell immune responses. HLA-DQ molecules, which are believed to play a major role in autoimmune diseases, are heterodimers that can be formed as both cis and trans variants depending on whether the α- and β-chains are encoded on the same (cis) or opposite (trans) chromosomes. So far, limited progress has been made for predicting HLA-DQ antigen presentation. In addition, the contribution of trans-on  ...[more]

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