@inbook{ad2ab3b465ae4091b8ca8c95f16008ca,
title = "Cancer exome-based identification of tumor neo-antigens using mass spectrometry",
abstract = "Neo-antigens expressed on tumors are targets for development of cancer immunotherapy strategies. Use of prediction algorithms to identify neo-antigens yields a significant number of peptides that must be validated in laborious and time-consuming methods; many prove to be false-positive identifications. The use of HLA peptidomics allows the isolation of the HLA-peptide complexes directly from cells and can be done on fresh tumor, patient-derived xerographs, or cell lines when the tissue sample is limited. This method can be used to identify both HLA class I and HLA class II or any different MHC from different species. Here we describe the steps to create the immune-affinity columns used from the process, the immunoprecipitation procedure, and also the isolation of the peptides that will be analyzed by mass spectrometry.",
author = "Shelly Kalaora and Yardena Samuels",
note = "YS is supported by the Israel Science Foundation grant number 696/17. This project has received funding from the European Research Council (ERC) under the European Union{\textquoteright}s Horizon 2020 research and innovation programme (grant agreement No 754282), the ERC (StG-335377), the MRA (\#402024), the Knell Family and the Hamburger Family , by the Henry Chanoch Krenter Institute for Biomedical Imaging and Genomics and the estates of Alice Schwarz-Gardos and John Hunter.",
year = "2019",
doi = "10.1007/978-1-4939-8885-3\_14",
language = "English",
isbn = "978-1-4939-8884-6",
volume = "1884",
series = "Methods in Molecular Biology",
publisher = "Humana Press",
pages = "203--214",
editor = "Alejandro Lopez-Soto and Folgueras, \{Alicia R.\}",
booktitle = "Cancer Immunosurveillance",
address = "United States",
}