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Development of multiplexed orthogonal base editor (MOBE) systems.

Quinn T Cowan1, Sifeng Gu1, Wanjun Gu2

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This summary is machine-generated.

New base editors (BEs) allow precise, simultaneous DNA edits without double-strand breaks. This breakthrough overcomes previous limitations, enabling multiplexed gene editing for research and disease modeling.

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Area of Science:

  • Molecular Biology
  • Gene Editing Technologies
  • Biotechnology

Background:

  • Base editors (BEs) offer precise point mutation installation without DNA double-strand breaks.
  • Multiplexing different BE types (adenine and cytosine) is challenging due to guide RNA crosstalk and non-orthogonal editing.
  • Current methods limit simultaneous application of multiple base editors to distinct loci.

Purpose of the Study:

  • To engineer orthogonal adenine and cytosine base editors for multiplexed applications.
  • To overcome guide RNA crosstalk limitations in simultaneous base editing.
  • To enable precise co-occurring edits at multiple loci on the same DNA strand.

Main Methods:

  • Engineered adenine and cytosine base editors using RNA aptamer-coat protein systems for enzyme recruitment.
  • Developed four multiplexed orthogonal base editor systems.
  • Utilized a fluorescent enrichment strategy to enhance co-occurring edit rates.
  • Tested system compatibility with expanded protospacer adjacent motif and high-fidelity Cas9 variants.

Main Results:

  • Achieved precise co-occurring edits up to 7.1% without enrichment in the same DNA strand.
  • Fluorescent enrichment increased co-occurring edit rates to 24.8% in human cells.
  • Demonstrated compatibility with various Cas9 variants and efficacy across multiple cell types.
  • Observed equivalent or reduced off-target effects compared to parental base editor systems.

Conclusions:

  • Successfully developed multiplexed orthogonal base editors overcoming previous crosstalk limitations.
  • These engineered systems enable precise, simultaneous installation of multiple point mutations.
  • The technology facilitates modeling of disease-relevant point mutation combinations with improved efficiency and safety.