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Recursive Editing improves homology-directed repair through retargeting of undesired outcomes

Author

Listed:
  • Lukas Möller

    (ETH Zurich)

  • Eric J. Aird

    (ETH Zurich)

  • Markus S. Schröder

    (ETH Zurich)

  • Lena Kobel

    (ETH Zurich)

  • Lucas Kissling

    (ETH Zurich
    University of Zurich)

  • Lilly van de Venn

    (ETH Zurich)

  • Jacob E. Corn

    (ETH Zurich)

Abstract

CRISPR-Cas induced homology-directed repair (HDR) enables the installation of a broad range of precise genomic modifications from an exogenous donor template. However, applications of HDR in human cells are often hampered by poor efficiency, stemming from a preference for error-prone end joining pathways that yield short insertions and deletions. Here, we describe Recursive Editing, an HDR improvement strategy that selectively retargets undesired indel outcomes to create additional opportunities to produce the desired HDR allele. We introduce a software tool, named REtarget, that enables the rational design of Recursive Editing experiments. Using REtarget-designed guide RNAs in single editing reactions, Recursive Editing can simultaneously boost HDR efficiencies and reduce undesired indels. We also harness REtarget to generate databases for particularly effective Recursive Editing sites across the genome, to endogenously tag proteins, and to target pathogenic mutations. Recursive Editing constitutes an easy-to-use approach without potentially deleterious cell manipulations and little added experimental burden.

Suggested Citation

  • Lukas Möller & Eric J. Aird & Markus S. Schröder & Lena Kobel & Lucas Kissling & Lilly van de Venn & Jacob E. Corn, 2022. "Recursive Editing improves homology-directed repair through retargeting of undesired outcomes," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31944-7
    DOI: 10.1038/s41467-022-31944-7
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    References listed on IDEAS

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