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
Contributors: Pratik Jagtap, Timothy J. Griffin
Scientific topics: Proteomics
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