Nature Communications (Mar 2020)

Integrated proteogenomic deep sequencing and analytics accurately identify non-canonical peptides in tumor immunopeptidomes

  • Chloe Chong,
  • Markus Müller,
  • HuiSong Pak,
  • Dermot Harnett,
  • Florian Huber,
  • Delphine Grun,
  • Marion Leleu,
  • Aymeric Auger,
  • Marion Arnaud,
  • Brian J. Stevenson,
  • Justine Michaux,
  • Ilija Bilic,
  • Antje Hirsekorn,
  • Lorenzo Calviello,
  • Laia Simó-Riudalbas,
  • Evarist Planet,
  • Jan Lubiński,
  • Marta Bryśkiewicz,
  • Maciej Wiznerowicz,
  • Ioannis Xenarios,
  • Lin Zhang,
  • Didier Trono,
  • Alexandre Harari,
  • Uwe Ohler,
  • George Coukos,
  • Michal Bassani-Sternberg

DOI
https://doi.org/10.1038/s41467-020-14968-9
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 21

Abstract

Read online

Non-canonical HLA-bound peptides from presumed non-coding regions are potential targets for cancer immunotherapy, but their discovery remains challenging. Here, the authors integrate exome sequencing, transcriptomics, ribosome profiling, and immunopeptidomics to identify tumor-specific non-canonical HLA-bound peptides.