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Updated: Mar 5, 2026

Amplification, Next-generation Sequencing, and Genomic DNA Mapping of Retroviral Integration Sites

Amplification, Next-generation Sequencing, and Genomic DNA Mapping of Retroviral Integration Sites

Published on: March 22, 2016

INSPIIRED: Quantification and Visualization Tools for Analyzing Integration Site Distributions.

Charles C Berry¹, Christopher Nobles², Emmanuelle Six³

¹Department of Family Medicine and Public Health, UC San Diego, La Jolla, CA 92093, USA.

Molecular Therapy. Methods & Clinical Development

|March 28, 2017

Summary

This summary is machine-generated.

New tools analyze DNA integration sites in genomes, aiding gene therapy research. These methods track cell populations and identify potential risks, like a clone near a cancer gene persisting for 15 years in a SCID-X1 patient.

Keywords:

SCID-X1 data visualization gammaretrovirus gene therapy insertional mutagenesis lentivirus mutagenesis recombination retrovirus vector vector driving

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Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

Area of Science:

Genomics
Bioinformatics
Gene Therapy

Background:

Analyzing DNA integration sites is crucial for gene therapy but lacks robust visualization tools.
Existing methods struggle to comprehensively analyze and visualize complex integration datasets.

Purpose of the Study:

To present novel tools for analyzing and visualizing DNA integration site data from the INSPIIRED pipeline.
To develop a reproducible report format for summarizing gene therapy sample data.
To introduce a new metric, UC50, for quantifying clonal expansion.

Main Methods:

Utilized paired-end sequencing to infer transduced cell numbers and integration site distributions.
Developed interactive heatmaps for comparing integration site distributions with genomic features and performing statistical tests.
Created a reproducible report format for cataloging sample population structure, longitudinal dynamics, and integration frequency near cancer genes.

Main Results:

Demonstrated successful long-term immune reconstitution in a SCID-X1 patient over 15 years.
Identified the persistence of a cell clone with an integration site near the CCND2 cancer-associated gene.
Introduced the UC50 metric for summarizing clonal expansion.

Conclusions:

The developed tools provide comprehensive analysis and visualization of DNA integration site data.
These tools facilitate the characterization of gene therapy outcomes and potential long-term risks.
The findings highlight the importance of monitoring integration sites for safety in gene therapy applications.