Protocol for in vivo CRISPR knockout screening of autophagy genes to identify breast cancer metastasis suppressors

Metastasis represents the primary cause of mortality among patients with breast cancer. Here, we present a protocol for utilizing an in vivo custom CRISPR-Cas9 knockout library to systematically investigate autophagy regulatory genes implicated in breast cancer metastasis to the lung in mice. We describe steps for library synthesis, cloning, and virus packaging and transfection. We then detail procedures for genome DNA collection and transplantation, followed by analysis of screening data. This protocol enables efficient identification of potential suppressors of breast cancer metastasis in vivo. For complete details on the use and execution of this protocol, please refer to Hao et al.<sup>1</sup>.

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Publication Details

Journal
STAR Protocols
Published
2025-05-01
DOI
https://doi.org/10.1016/j.xpro.2025.103798
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

Protocol for in vivo CRISPR knockout screening of autophagy genes to identify breast cancer metastasis suppressors

Jun‐Lin Guan, Mingang Hao, Peixin Lu
STAR Protocols
CRISPR and Genetic Engineering
article

Protocol for in vivo CRISPR knockout screening of autophagy genes to identify breast cancer metastasis suppressors

Jun‐Lin Guan, Mingang Hao, Peixin Lu
article en

Abstract

Metastasis represents the primary cause of mortality among patients with breast cancer. Here, we present a protocol for utilizing an in vivo custom CRISPR-Cas9 knockout library to systematically investigate autophagy regulatory genes implicated in breast cancer metastasis to the lung in mice. We describe steps for library synthesis, cloning, and virus packaging and transfection. We then detail procedures for genome DNA collection and transplantation, followed by analysis of screening data. This protocol enables efficient identification of potential suppressors of breast cancer metastasis in vivo. For complete details on the use and execution of this protocol, please refer to Hao et al.<sup>1</sup>.

STAR ProtocolsVol. 6(2)
University of Cincinnati Medical Center (US)
National Institutes of Health, National Cancer Institute
Good health and well-being
Openalex Percentile: Top 92%
CRISPR and Genetic Engineering
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