Predicting immunogenic tumour mutations by combining mass spectrometry and exome sequencing

Mahesh Yadav, Suchit Jhunjhunwala, Qui T. Phung, Patrick Lupardus, Joshua Tanguay, Stephanie Bumbaca, Christian Franci, Tommy K. Cheung, Jens Fritsche, Toni Weinschenk, Zora Modrusan, Ira Mellman, Jennie R. Lill () and Lélia Delamarre ()
Additional contact information
Mahesh Yadav: Genentech
Suchit Jhunjhunwala: Genentech
Qui T. Phung: Genentech
Patrick Lupardus: Genentech
Joshua Tanguay: Genentech
Stephanie Bumbaca: Genentech
Christian Franci: Genentech
Tommy K. Cheung: Genentech
Jens Fritsche: Immatics Biotechnologies GmbH, 72076 Tubingen, Germany
Toni Weinschenk: Immatics Biotechnologies GmbH, 72076 Tubingen, Germany
Zora Modrusan: Genentech
Ira Mellman: Genentech
Jennie R. Lill: Genentech
Lélia Delamarre: Genentech

Nature, 2014, vol. 515, issue 7528, 572-576

Abstract: A combination of genome-wide exome and transcriptome analysis, mass spectrometry and computational structural modelling are used here to identify immunogenic neo-antigens in two mouse tumour cancer cell lines; mice vaccinated with predicted immunogenic peptides yielded therapeutically useful cytotoxic T-lymphocyte responses.

Date: 2014
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DOI: 10.1038/nature14001

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