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Related Concept Videos

Antigens Involved in Adaptive Immunity01:26

Antigens Involved in Adaptive Immunity

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An antigen is any substance the immune system identifies as foreign and potentially harmful to the body, prompting an immune response. Antigens have two functional properties: immunogenicity and reactivity. Immunogenicity is the ability of an antigen to stimulate a specific immune response. At the same time, reactivity describes the antigen's ability to react with the cells and antibodies produced in response to it.
Complete Antigens
Complete antigens possess both immunogenicity and...
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MALDI-TOF Mass Spectrometry01:19

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Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.
Matrix-assisted laser desorption ionization (MALDI) is a commonly...
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Neoantigen identification: Technological advances and challenges.

Ting Pu1, Allyson Peddle1, Jingjing Zhu2

  • 1Digestive Oncology Unit, KULeuven, Leuven, Belgium.

Methods in Cell Biology
|March 28, 2024
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Summary

Neoantigens, unique tumor targets, are crucial for cancer immunotherapies like vaccines. Improved prediction tools are needed, but validated data for immunogenic neoantigens remains a challenge.

Keywords:
Computational toolHLAImmunotherapyNeoantigenNeoantigen predictionSomatic mutationTCR

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Area of Science:

  • Oncology
  • Immunology
  • Bioinformatics

Background:

  • Neoantigens are tumor-specific targets arising from genetic and non-genomic alterations.
  • They are critical for developing personalized cancer vaccines and adoptive cell therapies.
  • Advancements in technology facilitate the identification of immunogenic neoantigens.

Approach:

  • Neoantigen prediction requires high-quality samples and sequencing data for mutation calling.
  • Computational pipelines integrate tools for predicting expression, processing, binding, and recognition.
  • The review summarizes current knowledge and limitations in neoantigen prediction and validation.

Key Points:

  • Neoantigens encompass genomic mutations, post-transcriptomic variants, and viral oncoproteins.
  • Accurate prediction relies on robust computational pipelines and validated datasets.
  • Understanding neoantigen origin and biological roles enhances their therapeutic potential.

Conclusions:

  • Neoantigen prediction and validation are essential for advancing cancer immunotherapy.
  • Further development of computational tools is hampered by the lack of validated immunogenic neoantigen datasets.
  • Harnessing neoantigens offers significant promise in the fight against cancer.