Related Experiment Video
Updated: May 30, 2026

Comparative Lesions Analysis Through a Targeted Sequencing Approach
Published on: November 5, 2019
High-throughput semiquantitative analysis of insertional mutations in heterogeneous tumors
Marco J Koudijs1, Christiaan Klijn, Louise van der Weyden
1Division of Molecular Biology and Cancer Systems Biology Center, Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.
Abstract:
Retroviral and transposon-based insertional mutagenesis (IM) screens are widely used for cancer gene discovery in mice. Exploiting the full potential of IM screens requires methods for high-throughput sequencing and mapping of transposon and retroviral insertion sites. Current protocols are based on ligation-mediated PCR amplification of junction fragments from restriction endonuclease-digested genomic DNA, resulting in amplification biases due to uneven genomic distribution of restriction enzyme recognition sites. Consequently, sequence coverage cannot be used to assess the clonality of individual insertions. We have developed a novel method, called shear-splink, for the semiquantitative high-throughput analysis of insertional mutations. Shear-splink employs random fragmentation of genomic DNA, which reduces unwanted amplification biases. Additionally, shear-splink enables us to assess clonality of individual insertions by determining the number of unique ligation points (LPs) between the adapter and genomic DNA. This parameter serves as a semiquantitative measure of the relative clonality of individual insertions within heterogeneous tumors. Mixing experiments with clonal cell lines derived from mouse mammary tumor virus (MMTV)-induced tumors showed that shear-splink enables the semiquantitative assessment of the clonality of MMTV insertions. Further, shear-splink analysis of 16 MMTV- and 127 Sleeping Beauty (SB)-induced tumors showed enrichment for cancer-relevant insertions by exclusion of irrelevant background insertions marked by single LPs, thereby facilitating the discovery of candidate cancer genes. To fully exploit the use of the shear-splink method, we set up the Insertional Mutagenesis Database (iMDB), offering a publicly available web-based application to analyze both retroviral- and transposon-based insertional mutagenesis data.
Insights
A new method called shear-splink improves insertional mutagenesis (IM) screens for cancer gene discovery by reducing biases and enabling clonality assessment. This facilitates the identification of cancer-relevant gene insertions from retroviral and transposon screens.
Area of Science:
- Genomics
- Cancer Research
- Molecular Biology
Background:
- Insertional mutagenesis (IM) screens are crucial for cancer gene discovery in mice.
- Current IM methods face amplification biases due to restriction enzyme site distribution.
- Assessing clonality of individual insertions is limited with existing protocols.
Purpose of the Study:
- To develop a novel, semiquantitative method for high-throughput analysis of insertional mutations.
- To overcome amplification biases inherent in current IM protocols.
- To enable reliable assessment of insertion clonality for improved cancer gene discovery.
Main Methods:
- Developed shear-splink, a method using random genomic DNA fragmentation.
- Implemented ligation point (LP) counting to determine insertion clonality.
- Analyzed mouse mammary tumor virus (MMTV) and Sleeping Beauty (SB) transposon-induced tumors.
- Established the Insertional Mutagenesis Database (iMDB) for data analysis.
Main Results:
- Shear-splink reduces amplification biases compared to ligation-mediated PCR.
- The number of unique LPs provides a semiquantitative measure of insertion clonality.
- Experiments confirmed shear-splink's ability to assess clonality in MMTV-induced tumors.
- Analysis enriched for cancer-relevant insertions by excluding background insertions.
Conclusions:
- Shear-splink offers a robust method for semiquantitative, high-throughput insertional mutagenesis analysis.
- The method enhances cancer gene discovery by improving the accuracy of insertion site mapping and clonality assessment.
- The iMDB provides a valuable public resource for analyzing IM data from various sources.
More Related Videos
11:02Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing
Published on: October 18, 2013
13:24Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
Published on: April 11, 2016