Resource Library
Access tech notes, data sheets, training videos and other technical documents for our technology - all in one place
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Solving the Off-Target Analysis Bottleneck: Decision-Focused Bioinformatics for Gene Editing Â
Genome-wide off-target mapping technologies have advanced rapidly in recent years. It’s now routine to generate hundreds to thousands of putative off-target sites from a single experiment. Detection sensitivity has improved. Sequencing costs have fallen. Throughput has increased. Yet the critical question remains surprisingly difficult to answer: Which of these sites matter?
Blog
PDF
Gene Editing, INDUCE-seq®, Bioinformatics
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INDUCE-seq® Discovery Platform: High throughput, Comparative On- and Off-Target Analysis
To mitigate the risk of off-target editing, the FDA now requires unbiased, empirical measurement of off-target activity to be produced for every gene therapy candidate
Poster
PDF
High-Throughput, Gene Editing, INDUCE-seq®
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INDUCE-seq®: Powering the Future of Gene Editing Development
Genome editing holds enormous therapeutic promise; however, unintended DNA damage remains a critical barrier. Off-target effects are difficult to predict, hard to detect, and continue to carry serious safety risks.
Flyer
PDF
Gene Editing, INDUCE-seq®
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INDUCE-seq® Assay Overview - Key Step and Techniques
Video
Video
Assays, INDUCE-seq®
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Precision Digital Mapping of Endogenous and Induced Genomic DNA Breaks by INDUCE-seq®
Accurately measuring DNA double strand breaks (DSBs) is critical for assessing DNA damage and developing safe genome editing therapies, but current methods are limited by noise, poor sensitivity, and high costs. INDUCE-seq® overcomes these challenges by simultaneously detecting both low-level endogenous and induced DSBs via a novel NGS flow cell enrichment approach, enabling characterisation of repair mechanisms and safer therapeutic development.
Article
PDF
DSBs, INDUCE-seq®, DNA
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INDUCE-seq® Assay Overview - Final Library QC, Pooling and Sequencing
Video
Video
Assays, INDUCE-seq®
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INDUCE-seq®: A New Standard for Genome-Wide DNA Break Characterization in Gene Editing
INDUCE-seq® is a genome-wide, in cellulo platform for the direct detection and quantification of DNA double-strand breaks. Rather than extracting genomic DNA first and labelling break ends later, INDUCE-seq® performs in situ break labelling within fixed and permeabilised cells. This preserves the genomic context of break events as they existed inside the cell. It avoids the distortions introduced by post-extraction manipulation and PCR amplification.
Blog
PDF
Gene Editing, INDUCE-seq®, DNA
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INDUCE-seq® Solution: Analysis User Guide
This user guide provides detailed instructions for performing the INDUCE-seq® Analysis workflow, including starting an analysis run, navigating the BSB INDUCE-seq® Analysis Workspace, and understanding the generated output reports. For information on preparing next-generation sequencing (NGS) libraries using the On-Demand INDUCE-seq® Solution Assay, refer to the on-demand INDUCE-seq® Solution Assay user guide.
User Guide
PDF
Assays, INDUCE-seq®
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INDUCE-seq® Solution: Assay User Guide
This guide explains how to prepare next-generation sequencing (NGS) libraries using the INDUCE-seq® assay. The INDUCE-seq® assay workflow is specifically designed to measure an characterize genome-wide DNA breaks from cell samples. This workflow is based on the INDUCE-seq® technology to enable sensitive, unbiased detection of gene-editing off-target events, providing critical insights into the safety and efficacy of gene-editing therapies.
User Guide
PDF
Assays, INDUCE-seq®
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Cell Preparation Guidelines for INDUCE-seq®
Protocol
PDF
Assays, INDUCE-seq®
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INDUCE-seq® Technical Overview
An overview of the INDUCE-seq® platform, detailing its PCR-free, cell-based approach to genome-wide DNA break mapping. This technical note outlines the scientific basis, workflow, and outputs, and explores how INDUCE-seq enables accurate, unbiased characterization of on- and off-target activity across gene editing programs.
Technical Note
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INDUCE-seq®, Off-target, On-target, Gene Editing