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piggyBac-system-mediated genomic integration of large variant libraries for deep mutational scanning in mammalian cells

Yanjie Zhao, Yifan Li, Yi Wang, Weijun Su, View ORCID ProfileShuai Li
doi: https://doi.org/10.1101/2022.01.17.476579
Yanjie Zhao
1Department of Breast Cancer Pathology and Research Laboratory, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin’s Clinical Research Center for Cancer, Tianjin 300060, China
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Yifan Li
1Department of Breast Cancer Pathology and Research Laboratory, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin’s Clinical Research Center for Cancer, Tianjin 300060, China
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Yi Wang
1Department of Breast Cancer Pathology and Research Laboratory, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin’s Clinical Research Center for Cancer, Tianjin 300060, China
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Weijun Su
2School of Medicine, Nankai University, Tianjin 300071, China
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Shuai Li
1Department of Breast Cancer Pathology and Research Laboratory, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin’s Clinical Research Center for Cancer, Tianjin 300060, China
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  • ORCID record for Shuai Li
  • For correspondence: shuaili@tmu.edu.cn shuai.li2001@gmail.com
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Posted January 17, 2022.
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piggyBac-system-mediated genomic integration of large variant libraries for deep mutational scanning in mammalian cells
Yanjie Zhao, Yifan Li, Yi Wang, Weijun Su, Shuai Li
bioRxiv 2022.01.17.476579; doi: https://doi.org/10.1101/2022.01.17.476579
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piggyBac-system-mediated genomic integration of large variant libraries for deep mutational scanning in mammalian cells
Yanjie Zhao, Yifan Li, Yi Wang, Weijun Su, Shuai Li
bioRxiv 2022.01.17.476579; doi: https://doi.org/10.1101/2022.01.17.476579

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