Optimized CRISPR-Cas9 system for efficient engineering of ecDNA in cancer cells

Extrachromosomal DNA (ecDNA) amplification represents an emerging mechanism underlying oncogene amplification, tumor heterogeneity, and drug resistance in cancer. However, the biology of ecDNA remains poorly understood because tools to engineer ecDNAs and precisely monitor their dynamics are limited. In particular, genome engineering strategies have not been established for ecDNA, which exists in tens to hundreds of copies within a single cell. Here, we report a systematic validation of ecDNA editing using standard CRISPR-Cas9 system and optimized CRISPR-Cas9 system with safeguard single-guide RNAs (sgRNAs), in which the addition of cytosine extensions finely reduces excessive Cas9 activity. The conventional CRISPR-Cas9 system induced severe cytotoxicity and markedly reduced ecDNA copy number, together with frequent micronucleus formation. Knock-in efficiency was remarkably low, highlighting an intrinsic difficulty in editing ecDNA. In contrast, the safeguard sgRNA strategy not only alleviated cytotoxicity and ecDNA loss in a cytosine-length-dependent manner but also enabled efficient knock-in into multiple ecDNA per cell. Computational simulations suggested that the degree and temporal patterns of multiple DNA cleavage events shape cell death, micronucleus formation, and rapid expansion of knock-in ecDNA. Collectively, optimization of Cas9 activity using safeguard sgRNAs enables efficient and nondisruptive ecDNA engineering, providing a powerful tool to study ecDNA biology.

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Publication Details

Journal
Nucleic Acids Research
Published
2026-01-07
DOI
https://doi.org/10.1093/nar/gkag005
Primary Topic
CRISPR and Genetic Engineering
Type
article
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article

Optimized CRISPR-Cas9 system for efficient engineering of ecDNA in cancer cells

MASAKI KAWAMATA, Seiko Yoshino, M. Kubokawa, Y. Sugimoto et al.
Nucleic Acids Research
CRISPR and Genetic Engineering
article

Optimized CRISPR-Cas9 system for efficient engineering of ecDNA in cancer cells

MASAKI KAWAMATA, Seiko Yoshino, M. Kubokawa, Y. Sugimoto, Yu Watanabe, Koichi Ogami, Takeru Kachi, Hiroshi I Suzuki
article en

Abstract

Extrachromosomal DNA (ecDNA) amplification represents an emerging mechanism underlying oncogene amplification, tumor heterogeneity, and drug resistance in cancer. However, the biology of ecDNA remains poorly understood because tools to engineer ecDNAs and precisely monitor their dynamics are limited. In particular, genome engineering strategies have not been established for ecDNA, which exists in tens to hundreds of copies within a single cell. Here, we report a systematic validation of ecDNA editing using standard CRISPR-Cas9 system and optimized CRISPR-Cas9 system with safeguard single-guide RNAs (sgRNAs), in which the addition of cytosine extensions finely reduces excessive Cas9 activity. The conventional CRISPR-Cas9 system induced severe cytotoxicity and markedly reduced ecDNA copy number, together with frequent micronucleus formation. Knock-in efficiency was remarkably low, highlighting an intrinsic difficulty in editing ecDNA. In contrast, the safeguard sgRNA strategy not only alleviated cytotoxicity and ecDNA loss in a cytosine-length-dependent manner but also enabled efficient knock-in into multiple ecDNA per cell. Computational simulations suggested that the degree and temporal patterns of multiple DNA cleavage events shape cell death, micronucleus formation, and rapid expansion of knock-in ecDNA. Collectively, optimization of Cas9 activity using safeguard sgRNAs enables efficient and nondisruptive ecDNA engineering, providing a powerful tool to study ecDNA biology.

Nucleic Acids ResearchVol. 54(2)
Nagoya University Hospital (JP), Inamori Foundation (JP), Organogenesis (United States) (US), Nagoya University (JP)
Good health and well-being
Openalex Percentile: Top 88%
CRISPR and Genetic Engineering
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Optimized CRISPR-Cas9 system for efficient engineering of ecDNA in cancer cells — MASAKI KAWAMATA, Seiko Yoshino, et al. · Nucleic Acids Research (2026) | TGRS Research Map | TGRS