e-learning

Neoantigen 6: Predicting HLA Binding

Abstract

Neoantigen prediction for HLA binding is a critical component of personalized cancer immunotherapy. Neoantigens, which are tumor-specific antigens resulting from mutations in cancer cells, can be recognized by the immune system, making them promising targets for tailored immunotherapies. Human leukocyte antigen (HLA) molecules play a key role in presenting these neoantigens on the surface of cells, where they can be detected by T-cells, triggering an immune response.

About This Material

This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.

Questions this will address

  • How can we predict the neoantigens presented by tumor cells?
  • How does the HLA genotype affect the immune response to cancer?

Learning Objectives

  • Predict potential neoantigens based on HLA binding affinity.
  • Understand the role of HLA genotyping in predicting personalized immune responses.
  • Use specific tools for processing sequence data to predict HLA-binding peptides.

Licence: Creative Commons Attribution 4.0 International

Keywords: Proteomics, label-free

Target audience: Students

Resource type: e-learning

Version: 1

Status: Active

Prerequisites:

  • Introduction to Galaxy Analyses
  • Proteomics

Learning objectives:

  • Predict potential neoantigens based on HLA binding affinity.
  • Understand the role of HLA genotyping in predicting personalized immune responses.
  • Use specific tools for processing sequence data to predict HLA-binding peptides.

Date modified: 2025-01-14

Date published: 2025-01-14

Authors: James Johnson, Katherine Do, Subina Mehta

Contributors: Pratik Jagtap, Timothy J. Griffin

Scientific topics: Proteomics


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