High-throughput MS-based immunopeptidomics
Ontology highlight
ABSTRACT: Comprehensive knowledge of the HLA class-I and class-II peptides presented to T-cells is crucial for designing innovative therapeutics against cancer and other diseases. However methodologies for their extraction for mass-spectrometry analysis have been a major limitation. We designed a novel high-throughput, reproducible and sensitive method for sequential extraction of HLA-I and -II peptides from up to 96 samples in a plate format from cell lines or tissues. Our methodology drastically reduces sample-handling and can be completed within six hours. We report identification and quantification of thousands of peptides with excellent reproducibility (Pearson correlations reaching 0.98 and 0.97, class I and II, respectively). Due to improved sensitivity, as many as 1,846 HLA-I and 2,633 HLA-II peptides were accurately identified from only 107 B-cells. We demonstrate the feasibility of performing drug-screening by using ovarian cancer cells treated with interferon gamma. This straightforward method is applicable for basic and clinical applications.
INSTRUMENT(S):
ORGANISM(S): Homo Sapiens (human)
TISSUE(S): B Cell, T Cell
DISEASE(S): Meningioma
SUBMITTER:
Michal Bassani-Sternberg
LAB HEAD: Michal Bassani-Sternberg
PROVIDER: PXD006939 | Pride | 2017-12-15
REPOSITORIES: Pride
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