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Related Experiment Video

Updated: Jun 10, 2025

T and B Cell Receptor Immune Repertoire Analysis using Next-generation Sequencing
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Single-Cell Transcriptomic Analysis of Normal and Malignant B Cells.

Antony B Holmes1, Clarissa Corinaldesi1, Katia Basso2

  • 1Institute for Cancer Genetics, Columbia University, New York, NY, USA.

Methods in Molecular Biology (Clifton, N.J.)
|October 18, 2024
PubMed
Summary
This summary is machine-generated.

Single-cell transcriptomics analyzes gene expression in individual cells, revealing cell types and states. This study integrates gene expression with immune repertoire profiling for B cells, aiding clonotype evolution and tumor clone detection.

Keywords:
B cell receptorGerminal centerLymphomaRNA-seqSingle-cells transcriptomics

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Area of Science:

  • Immunology
  • Genomics
  • Bioinformatics

Background:

  • Bulk analysis averages gene expression, masking cellular heterogeneity.
  • Single-cell (sc) transcriptomics offers high-resolution insights into individual cell types and states.
  • Diverse sc transcriptomic technologies exist, each with unique protocols.

Purpose of the Study:

  • To analyze normal and malignant mature B cells using 10× Genomics 5' sc-gene expression.
  • To integrate gene expression data with B cell immune repertoire profiling.
  • To provide a comprehensive guide for experimental protocols and data analysis using popular sc software tools.

Main Methods:

  • 10× Genomics 5' sc-gene expression profiling.
  • B cell immune repertoire profiling.
  • Bioinformatic analysis integrating gene expression and repertoire data.

Main Results:

  • Reconstruction of complete transcriptomes for distinct cell populations.
  • Identification of expressed immunoglobulin genes for clonotype analysis.
  • Detection of tumor clones sharing identical B cell receptor sequences.

Conclusions:

  • Integrated sc transcriptomics and immune repertoire profiling enhance B cell analysis.
  • This approach facilitates the study of clonotype evolution and malignant cell detection.
  • The chapter provides practical guidance for researchers using sc analysis tools.