Ribosome Profiling for Novel Antigen Discovery

Ana Xavier-Magalhães1, Susan Klaeger2

  • 1Genentech Inc., South San Francisco, CA, USA.

Insights

Discovering novel cancer antigens is key for immunotherapy. Ribosome profiling and mass spectrometry identify new targets like novel open reading frames (nuORFs), improving cancer vaccine development.

Area of Science:

  • Oncology
  • Immunology
  • Proteomics

Background:

  • Traditional cancer antigen discovery methods miss novel targets like splice isoforms, gene fusions, and novel or unannotated open reading frames (nuORFs).
  • These novel antigens present promising opportunities for cancer immunotherapy due to their potential abundance and immunogenicity.

Purpose of the Study:

  • To explore the use of ribosome profiling (Ribo-seq) and mass spectrometry (MS)-based proteomics for novel cancer antigen discovery.
  • To highlight the potential of combining Ribo-seq with proteogenomic approaches for identifying new immunotherapeutic targets.

Main Methods:

  • Ribosome profiling (Ribo-seq) to assess and verify the translation of novel or unannotated open reading frames (nuORFs).
  • Mass spectrometry (MS)-based proteomics to validate protein and peptide expression identified by Ribo-seq.
  • Proteogenomic approaches integrating Ribo-seq and MS data for comprehensive antigen discovery.

Main Results:

  • Ribo-seq effectively identifies translated nuORFs, offering a rich source of potential cancer antigens.
  • MS-based proteomics validates the expression of these novel translated products, confirming their presence as antigens.
  • The combined proteogenomic strategy enhances the discovery of novel cancer antigens missed by conventional methods.

Conclusions:

  • Combining Ribo-seq with MS-based proteomics is a powerful strategy for discovering novel cancer antigens.
  • This approach significantly expands the repertoire of potential targets for developing more effective cancer immunotherapies.
  • Further research into these novel antigens could lead to breakthroughs in personalized cancer treatment.