Transposon activation mutagenesis as a screening tool for identifying resistance to cancer therapeutics

Li Chen1, Lynda Stuart, Toshiro K Ohsumi

  • 1Center for Molecular Therapeutics, Center for Cancer Research, Massachusetts General Hospital, and Harvard Medical School, CNY 149-Rm7308, Thirteenth St. Charlestown, MA 02129, USA. lchen13@partners.org

BMC Cancer
|February 28, 2013
PubMed
Abstract

Insights

A new genetic screening method identifies cancer drug resistance mechanisms. This cost-effective approach uses transposon technology to discover how cells evade chemotherapy, aiding in predicting treatment outcomes.

Area of Science:

  • Genomics
  • Cancer Biology
  • Drug Discovery

Background:

  • Chemotherapy resistance is a major obstacle in cancer treatment.
  • Resistance mechanisms are complex, varied, and tumor-specific.
  • Novel strategies are needed to identify and predict resistance.

Purpose of the Study:

  • To develop a novel gain-of-function forward genetic approach for identifying drug resistance mechanisms.
  • To create a cost-effective and systematic method for discovering resistance pathways in mammalian cells.

Main Methods:

  • Utilized a modified piggyBac transposon system to generate mutagenized cell libraries.
  • Employed next-generation high-throughput sequencing and barcode multiplexing for gene identification.
  • Analyzed co-occurring transposon integration sites to uncover cooperative gene interactions.

Main Results:

  • Successfully identified genes conferring paclitaxel resistance in diverse cancer cell lines.
  • Validated the role of ABCB1, a known paclitaxel resistance gene.
  • Discovered cooperative gene interactions contributing to drug resistance, a feat not possible with RNAi or ORF screens.

Conclusions:

  • Developed a powerful pipeline for systematically discovering drug resistance in mammalian cells.
  • The approach is cost-effective, adaptable to various cell lines, and identifies both canonical and context-specific resistance.
  • This method complements existing screens by probing complex genetic contexts and cooperative resistance events.