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.

Genome Research
|August 20, 2011
PubMed

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.

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