e-learning

Neoantigen 1: Fusion-Database-Generation

Abstract

A neoantigen is a novel peptide (protein fragment) that is produced by cancer cells due to mutations, including gene fusions, that alter the DNA sequence in a way that generates unique proteins not found in normal cells. Because these mutated proteins are unique to the tumor, they are recognized as "foreign" by the immune system. Neoantigens are valuable in immunotherapy because they can serve as specific targets for the immune system, allowing treatments to selectively attack cancer cells while sparing normal tissue. By stimulating an immune response specifically against these neoantigens, therapies like cancer vaccines or T-cell-based treatments can be developed to enhance the body’s natural defense mechanisms, making neoantigens a promising avenue for personalized cancer treatment.

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

  • Why do we need to generate a customized fusion database for proteogenomics research?

Learning Objectives

  • Downloading databases related to 16SrRNA data
  • For better neoantigen identification results.

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:

  • Downloading databases related to 16SrRNA data
  • For better neoantigen identification results.

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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