Systematic HLA Epitope Ranking Pan Algorithm (SHERPA)

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):

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