Systematic HLA Epitope Ranking Pan Algorithm (SHERPA)
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ABSTRACT: To generate high quality training data for our MHC binding and presentation prediction models, we stably transfected alleles into HLA-null, K562 to create mono-allelic cell lines. Then, we performed immunoprecipitation using W6/32 antibody and gently eluted the peptides. Finally, they were analyzed using LC-MSMS. To validate the performance of our prediction algorithms, we also processed 12 lung and colorectal tumor tissues with the same protocol.
INSTRUMENT(S): Orbitrap Fusion Lumos
ORGANISM(S): Homo Sapiens (human)
TISSUE(S): Lung, Cell Culture, Colon
DISEASE(S): Colon Cancer
SUBMITTER: Sean Boyle
LAB HEAD: Sean Michael Boyle
PROVIDER: PXD023064 | Pride | 2021-06-15
REPOSITORIES: Pride
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