High-efficiency homology-directed insertion into the genome using the engineered homing endonuclease ARCUS

Several gene editing tools have entered the clinic, representing varied options for eliminating or correcting mutations. Although gene editing by homologous recombination (HR) can potentially accomplish any type of gene edit (insertions, deletions, and replacements), as the outcome is defined by a recombinant repair template, gene editing enzymes that support efficient HR are rare. ARCUS nucleases, engineered from the homing endonuclease I-CreI, have programmable sequence specificity and support precise, high-frequency transgene insertion. In this study, we demonstrate that the 3' overhangs that ARCUS nucleases generate when cutting DNA are key to triggering high rates of HR. We show that a single editor can be used to accomplish the full range of currently understood DNA editing approaches, allowing all combinations of single base changes, introducing small, specific deletions, small and large insertions, and the ability to replace large segments of genomic DNA with efficiencies ranging from 60% to 90% in lymphocytes. ARCUS also supports precise, efficient insertion (30%-40%) in noncycling hepatocytes via nonclassical HR pathways. Collectively, this work characterizes a flexible and efficient gene insertion system for potential therapeutic use.

Authors

Institutions

Publication Details

Journal
Nucleic Acids Research
Published
2025-09-23
DOI
https://doi.org/10.1093/nar/gkaf961
Citations
1
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.81
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High-efficiency homology-directed insertion into the genome using the engineered homing endonuclease ARCUS

Jeffrey A. Sunman, Jeff Smith, Jo Ann Hux, Janel Lape et al.
1 citations
Nucleic Acids Research
CRISPR and Genetic Engineering
0.81
article

High-efficiency homology-directed insertion into the genome using the engineered homing endonuclease ARCUS

Jeffrey A. Sunman, Jeff Smith, Jo Ann Hux, Janel Lape, Kathryn S. Evans, Ginger Tomberlin, A. BARBERO MARTIN, Adam Mischler, Rhese Thompson, Ian A. MacDonald, Jason Harris, Alexander J. Vogel, Laura Christian Resly, Alan L Tubbs
article en
1 citations

Abstract

Several gene editing tools have entered the clinic, representing varied options for eliminating or correcting mutations. Although gene editing by homologous recombination (HR) can potentially accomplish any type of gene edit (insertions, deletions, and replacements), as the outcome is defined by a recombinant repair template, gene editing enzymes that support efficient HR are rare. ARCUS nucleases, engineered from the homing endonuclease I-CreI, have programmable sequence specificity and support precise, high-frequency transgene insertion. In this study, we demonstrate that the 3' overhangs that ARCUS nucleases generate when cutting DNA are key to triggering high rates of HR. We show that a single editor can be used to accomplish the full range of currently understood DNA editing approaches, allowing all combinations of single base changes, introducing small, specific deletions, small and large insertions, and the ability to replace large segments of genomic DNA with efficiencies ranging from 60% to 90% in lymphocytes. ARCUS also supports precise, efficient insertion (30%-40%) in noncycling hepatocytes via nonclassical HR pathways. Collectively, this work characterizes a flexible and efficient gene insertion system for potential therapeutic use.

Nucleic Acids ResearchVol. 53(18)
Precision BioSciences (United States) (US)
Openalex Percentile: Top 23%
CRISPR and Genetic Engineering
0.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.