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BamQuery: a proteogenomic tool to explore the immunopeptidome and prioritize actionable tumor antigens

Maria Virginia Ruiz Cuevas, Marie‐Pierre Hardy, Jean‐David Larouche, Anca Apavaloaei, Eralda Kina, Krystel Vincent, Patrick Gendron, Jean‐Philippe Laverdure, Chantal Durette, Pierre Thibault, Sébastien Lemieux, Claude Perreault, Grégory Ehx

2023Genome biology23 citationsDOIOpen Access PDF

Abstract

MHC-I-associated peptides deriving from non-coding genomic regions and mutations can generate tumor-specific antigens, including neoantigens. Quantifying tumor-specific antigens' RNA expression in malignant and benign tissues is critical for discriminating actionable targets. We present BamQuery, a tool attributing an exhaustive RNA expression to MHC-I-associated peptides of any origin from bulk and single-cell RNA-sequencing data. We show that many cryptic and mutated tumor-specific antigens can derive from multiple discrete genomic regions, abundantly expressed in normal tissues. BamQuery can also be used to predict MHC-I-associated peptides immunogenicity and identify actionable tumor-specific antigens de novo.

Topics & Concepts

BiologyComputational biologyImmunogenicityAntigenRNAMajor histocompatibility complexRNA-SeqGeneticsGeneTranscriptomeGene expressionImmunotherapy and Immune Responsesvaccines and immunoinformatics approachesViral-associated cancers and disorders
BamQuery: a proteogenomic tool to explore the immunopeptidome and prioritize actionable tumor antigens | Litcius