Proteomics

Dataset Information

Analysis of bovine leukocyte antigen (BoLA)-associated peptides by LC-MS


ABSTRACT: An increasing amount of MHC presented peptides identified by mass spectrometry (MS ligands) has been published. Handling and interpretation of MS ligand data is in general challenging due to the poly-specificity nature of the data. We here outline a general pipeline for dealing with this challenge, and accurately annotate ligands to the relevant MHC-I molecule they were eluted from by use of GibbsClustering and binding motif information inferred from in-silico models. We illustrate the approach here in the context of MHCI molecules (BoLA) of cattle. Next, we demonstrate how such annotated BoLA MS ligand data can readily be integrated with in-vitro binding affinity data in a prediction model with very high and unprecedented performance for identification of BoLA-I restricted T cell epitopes.

INSTRUMENT(S):

ORGANISM(S): Bos Taurus (bovine)

TISSUE(S): Leukocyte, Cell Culture

DISEASE(S): Theileriasis

SUBMITTER: Nicola Ternette  

LAB HEAD: Nicola Ternette

PROVIDER: PXD008151 | Pride | 2017-11-20

REPOSITORIES: Pride