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Related Concept Videos

Cells of the Adaptive Immune Response01:23

Cells of the Adaptive Immune Response

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The T and B lymphocytes of the adaptive immune system develop from common lymphoid progenitor cells in the bone marrow. These progenitors give rise to precursors that eventually develop into both T and B lymphocytes. As these precursors mature, they gain the ability to detect and respond to foreign antigens in the body, a process known as immunocompetence. Additionally, these precursors acquire self-tolerance, a process that ensures they do not react to self-antigens. This intricate system...
983

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Updated: Jun 28, 2025

T and B Cell Receptor Immune Repertoire Analysis using Next-generation Sequencing
08:59

T and B Cell Receptor Immune Repertoire Analysis using Next-generation Sequencing

Published on: January 12, 2021

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Single-cell immune repertoire analysis.

Sergio E Irac1, Megan Sioe Fei Soon2, Nicholas Borcherding3,4

  • 1Cancer Immunoregulation and Immunotherapy, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.

Nature Methods
|April 18, 2024
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Summary
This summary is machine-generated.

Analyzing single-cell T cell and B cell antigen receptor sequencing data offers deep insights into adaptive immunity. This review highlights computational advances overcoming challenges in interpreting complex immune receptor repertoire data.

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Area of Science:

  • Immunology
  • Computational Biology
  • Bioinformatics

Background:

  • Single-cell antigen receptor sequencing provides detailed insights into adaptive immune cells.
  • Analyzing T cell and B cell receptor repertoires is complex due to data and biological intricacies.
  • Understanding immune cell development and disease progression relies on this analysis.

Purpose of the Study:

  • To review computational breakthroughs in single-cell T cell and B cell antigen receptor sequencing data analysis.
  • To address the challenges in interpreting adaptive immune receptor repertoires.
  • To highlight advancements transforming the field.

Main Methods:

  • Review of computational methodologies for single-cell immune repertoire analysis.
  • Discussion of algorithms and software for processing complex sequencing data.
  • Synthesis of current computational approaches in the field.

Main Results:

  • Identification of key computational strategies enhancing single-cell immune repertoire analysis.
  • Demonstration of how computational advances simplify the interpretation of complex biological data.
  • Highlighting the transformative impact of these methods on immunological research.

Conclusions:

  • Computational breakthroughs are essential for unlocking the potential of single-cell antigen receptor sequencing.
  • Advanced analysis methods enable deeper understanding of adaptive immunity, disease, and therapy.
  • The field has seen significant progress in analyzing complex immune cell data.