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Related Experiment Video

Updated: Jul 2, 2026

VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma

VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma

Published on: December 28, 2015

IgTree: creating Immunoglobulin variable region gene lineage trees.

Michal Barak¹, Neta S Zuckerman, Hanna Edelman

¹The Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan 52900, Israel.

Journal of Immunological Methods

|August 19, 2008

Summary

This summary is machine-generated.

This study introduces IgTree, a novel algorithm for generating cell lineage trees from immunoglobulin gene sequences. This tool aids in understanding B cell affinity maturation and somatic hypermutation processes.

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VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma

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Area of Science:

Immunology
Computational Biology
Genetics

Background:

Cell lineage trees are crucial for studying cellular microevolution.
B cell affinity maturation involves immunoglobulin gene hypermutation and selection.
Existing methods may not fully capture the complexities of these processes.

Purpose of the Study:

To develop and implement an algorithm for generating lineage trees from immunoglobulin variable region gene sequences.
To create a program, IgTree, that visualizes cellular evolutionary pathways.

Main Methods:

Developed a novel algorithm to construct lineage trees from sequence data.
Implemented the algorithm in the IgTree program.
The program assigns experimental sequences to tree nodes and identifies mutations (point mutations, insertions, deletions).

Main Results:

IgTree successfully generates lineage trees from immunoglobulin gene sequences.
The program handles gaps and identifies potential reversion mutations.
IgTree enumerates mutation frequencies and sequence motifs per tree.

Conclusions:

The IgTree program provides a valuable tool for analyzing B cell microevolution.
The algorithm aids in understanding somatic hypermutation and selection dynamics.
This approach has demonstrated utility in multiple studies of immunoglobulin gene mutations.