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Related Experiment Video

Updated: May 2, 2026

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

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Qualifying high-throughput immune repertoire sequencing.

Norbert Niklas1, Johannes Pröll1, Johannes Weinberger1

  • 1Red Cross Transfusion Service for Upper Austria, Krankenhausstraße 7, 4020 Linz, Austria.

Cellular Immunology
|March 11, 2014
PubMed
Summary

Next-generation sequencing reveals detailed B and T cell receptor (TCR) gene analysis in chronic lymphocytic leukemia (CLL). This approach identifies malignant clones and shows CLL mutation status is less monoclonal than previously assumed.

Keywords:
Big data visualizationClonotypingDiversity generationImmune repertoireImmunoglobulin heavy chainNext-generation sequencingSomatic hypermutationT cell receptor βVDJ recombination

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Area of Science:

  • Immunology
  • Genomics
  • Bioinformatics

Background:

  • Immune system diversity relies on B and T cell receptors (BCRs and TCRs) generated through gene recombination and somatic hypermutation.
  • Next-generation sequencing (NGS) enables deep analysis of immune repertoire variation within individuals.
  • A robust analysis and visualization strategy is crucial for processing NGS data.

Purpose of the Study:

  • To develop and apply an accessible yet detailed analysis strategy for NGS-based immune repertoire profiling.
  • To characterize malignant clones and assess mutational status in chronic lymphocytic leukemia (CLL) samples.
  • To demonstrate the broad applicability of the developed strategy across different NGS platforms.

Main Methods:

  • Sequencing of CLL and control samples using the 454 platform.
  • Utilizing the IMGT database for reference.
  • Application of developed analysis and visualization tools.

Main Results:

  • Identification and characterization of malignant clones in CLL samples.
  • Detailed elaboration of mutational status compared to germline identity.
  • Demonstration that CLL mutation status is not as monoclonal as commonly believed.

Conclusions:

  • The developed strategy effectively identifies and characterizes malignant clones in CLL.
  • The analysis reveals a more complex mutational landscape in CLL than previously understood.
  • The methodology is transferable to other next-generation sequencing platforms beyond 454.