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- Title
Unbiased Characterization of Peptide-HLA Class II Interactions Based on Large-Scale Peptide Microarrays; Assessment of the Impact on HLA Class II Ligand and Epitope Prediction.
- Authors
Wendorff, Mareike; Garcia Alvarez, Heli M.; Østerbye, Thomas; ElAbd, Hesham; Rosati, Elisa; Degenhardt, Frauke; Buus, Søren; Franke, Andre; Nielsen, Morten
- Abstract
Human Leukocyte Antigen class II (HLA-II) molecules present peptides to T lymphocytes and play an important role in adaptive immune responses. Characterizing the binding specificity of single HLA-II molecules has profound impacts for understanding cellular immunity, identifying the cause of autoimmune diseases, for immunotherapeutics, and vaccine development. Here, novel high-density peptide microarray technology combined with machine learning techniques were used to address this task at an unprecedented level of high-throughput. Microarrays with over 200,000 defined peptides were assayed with four exemplary HLA-II molecules. Machine learning was applied to mine the signals. The comparison of identified binding motifs, and power for predicting eluted ligands and CD4+ epitope datasets to that obtained using NetMHCIIpan-3.2, confirmed a high quality of the chip readout. These results suggest that the proposed microarray technology offers a novel and unique platform for large-scale unbiased interrogation of peptide binding preferences of HLA-II molecules.
- Subjects
PROTEIN microarrays; MICROARRAY technology; FORECASTING; HLA histocompatibility antigens; SINGLE molecules
- Publication
Frontiers in Immunology, 2020, Vol 11, pN.PAG
- ISSN
1664-3224
- Publication type
Article
- DOI
10.3389/fimmu.2020.01705