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Related Concept Videos

Diversity of Antigen Receptors01:28

Diversity of Antigen Receptors

Antigen receptors are essential components of the immune system crucial in defending the body against foreign invaders. These receptors are present on the surface of B and T cells, enabling them to recognize antigens and mount an appropriate immune response.
Before encountering any antigen, lymphocytes express these receptors. On B cells, the antigen receptor is a membrane-bound antibody molecule called BCR; on T cells, it is a T cell receptor or TCR. B and T cell receptors are composed of two...

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Related Experiment Video

Updated: May 20, 2026

Induction and Assessment of Class Switch Recombination in Purified Murine B Cells
09:49

Induction and Assessment of Class Switch Recombination in Purified Murine B Cells

Published on: August 13, 2010

A statistically rigorous method for determining antigenic switching networks.

Robert Noble1, Mario Recker

  • 1Department of Zoology, University of Oxford, Oxford, United Kingdom.

Plos One
|July 5, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a new statistical method to map antigenic switching pathways in pathogens like Plasmodium falciparum. The approach accurately reconstructs gene expression networks from short transcription time courses, improving understanding of immune evasion.

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Last Updated: May 20, 2026

Induction and Assessment of Class Switch Recombination in Purified Murine B Cells
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Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
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Area of Science:

  • Parasitology
  • Immunology
  • Genetics

Background:

  • Vector-borne pathogens utilize antigenic variation for immune evasion and prolonged infection.
  • Antigenic variation involves switching between gene family members encoding distinct antigenic variants.
  • Gene switching is often non-random, suggesting hierarchical expression with implications for infection and immunity.

Purpose of the Study:

  • To develop a statistically rigorous method for reconstructing antigenic switching networks from temporal gene transcription data.
  • To improve the accuracy of inferring switching pathways compared to existing methods.
  • To provide a reliable tool for analyzing antigenic variation in pathogens.

Main Methods:

  • Developed a novel statistical method for analyzing temporal gene transcription data.
  • Utilized artificially generated transcription profiles for validation.
  • Applied the method to in vitro var gene transcript data from Plasmodium falciparum.

Main Results:

  • The new method accurately reconstructs underlying gene switching networks.
  • Using multiple time courses from different parasite populations of the same isolate enhances accuracy.
  • The method provides reliability metrics for assessing network reconstruction and testing hypotheses.

Conclusions:

  • Antigenic switch pathways can be reliably determined from short gene transcription profiles with multiple time points.
  • The method offers a robust approach to study antigenic variation and its molecular basis.
  • This work advances the understanding of immune evasion strategies in pathogens.