Protocol: A Multiplexed Reporter Assay to Study Effects of Chromatin Context on DNA Double-Strand Break Repair

Ruben Schep1, Christ Leemans1, Eva K Brinkman1

  • 1Oncode Institute and Division of Gene Regulation, Netherlands Cancer Institute, Amsterdam, Netherlands.

Frontiers in Genetics
|February 17, 2022
PubMed

Insights

This study introduces DSB-TRIP, a novel method to analyze DNA double-strand break repair pathways by examining unique DNA scars. This technique links repair pathway usage to the local chromatin environment, aiding cancer research and gene editing optimization.

Area of Science:

  • Molecular Biology
  • Genetics
  • Genomics

Background:

  • DNA double-strand breaks (DSBs) are critical DNA lesions repaired by diverse pathways.
  • Understanding DSB repair pathway regulation is vital for cancer research and gene editing.
  • The influence of the local chromatin environment on DSB repair pathway choice remains poorly understood.

Purpose of the Study:

  • To present a detailed protocol for DSB-TRIP (DNA double-strand break repair pathway) analysis.
  • To enable the study of DSB repair pathway usage across the genome.
  • To investigate the relationship between chromatin state and DSB repair pathway selection.

Main Methods:

  • DSB-TRIP involves random integration of a repair reporter into multiple genomic locations.
  • DSBs are induced within the reporter, generating unique DNA scars upon repair.
  • Multiplexed sequencing of scars quantifies repair pathway usage at each integration site.

Main Results:

  • The study provides a step-by-step protocol for DSB-TRIP in K562 cells.
  • A dedicated computational pipeline is presented for data analysis.
  • The technique allows linking repair pathway balance to the local chromatin state.

Conclusions:

  • DSB-TRIP is a powerful technique for studying genome-wide DSB repair pathway usage.
  • The method facilitates understanding the impact of chromatin environment on DNA repair.
  • Potential applications include further research into DNA repair mechanisms and optimization of gene editing tools.

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