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A multi-kingdom genetic barcoding system for precise target clone isolation

View ORCID ProfileSoh Ishiguro, Kana Ishida, View ORCID ProfileRina C. Sakata, View ORCID ProfileHideto Mori, View ORCID ProfileMamoru Takana, View ORCID ProfileSamuel King, View ORCID ProfileOmar Bashth, Minori Ichiraku, View ORCID ProfileNanami Masuyama, Ren Takimoto, View ORCID ProfileYusuke Kijima, Arman Adel, View ORCID ProfileHiromi Toyoshima, View ORCID ProfileMotoaki Seki, View ORCID ProfileJu Hee Oh, View ORCID ProfileAnne-Sophie Archambault, View ORCID ProfileKeiji Nishida, View ORCID ProfileAkihiko Kondo, Satoru Kuhara, View ORCID ProfileHiroyuki Aburatani, View ORCID ProfileRamon I. Klein Geltink, View ORCID ProfileYasuhiro Takashima, View ORCID ProfileNika Shakiba, View ORCID ProfileNozomu Yachie
doi: https://doi.org/10.1101/2023.01.18.524633
Soh Ishiguro
1School of Biomedical Engineering, Faculty of Applied Science and Faculty of Medicine, The University of British Columbia, Vancouver, Canada
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Kana Ishida
2Spiber Inc., Tsuruoka, Japan
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Rina C. Sakata
1School of Biomedical Engineering, Faculty of Applied Science and Faculty of Medicine, The University of British Columbia, Vancouver, Canada
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Hideto Mori
3Synthetic Biology Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan
4Institute for Advanced Biosciences, Keio University, Tsuruoka, Japan
5Systems Biology Program, Graduate School of Media and Governance, Keio University, Fujisawa, Japan
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Mamoru Takana
3Synthetic Biology Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan
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  • ORCID record for Mamoru Takana
Samuel King
1School of Biomedical Engineering, Faculty of Applied Science and Faculty of Medicine, The University of British Columbia, Vancouver, Canada
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Omar Bashth
1School of Biomedical Engineering, Faculty of Applied Science and Faculty of Medicine, The University of British Columbia, Vancouver, Canada
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Minori Ichiraku
6Center for iPS Cell Research and Application, Kyoto University, Kyoto, Japan
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Nanami Masuyama
1School of Biomedical Engineering, Faculty of Applied Science and Faculty of Medicine, The University of British Columbia, Vancouver, Canada
4Institute for Advanced Biosciences, Keio University, Tsuruoka, Japan
5Systems Biology Program, Graduate School of Media and Governance, Keio University, Fujisawa, Japan
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Ren Takimoto
1School of Biomedical Engineering, Faculty of Applied Science and Faculty of Medicine, The University of British Columbia, Vancouver, Canada
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Yusuke Kijima
1School of Biomedical Engineering, Faculty of Applied Science and Faculty of Medicine, The University of British Columbia, Vancouver, Canada
7Department of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan
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Arman Adel
1School of Biomedical Engineering, Faculty of Applied Science and Faculty of Medicine, The University of British Columbia, Vancouver, Canada
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Hiromi Toyoshima
3Synthetic Biology Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan
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  • ORCID record for Hiromi Toyoshima
Motoaki Seki
3Synthetic Biology Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan
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Ju Hee Oh
8BC Children’s Hospital Research Institute, Department of Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, Canada
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  • ORCID record for Ju Hee Oh
Anne-Sophie Archambault
8BC Children’s Hospital Research Institute, Department of Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, Canada
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Keiji Nishida
9Engineering Biology Research Center, Kobe University, Kobe, Japan
10Graduate School of Science, Technology and Innovation, Kobe University, Kobe, Japan
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Akihiko Kondo
9Engineering Biology Research Center, Kobe University, Kobe, Japan
10Graduate School of Science, Technology and Innovation, Kobe University, Kobe, Japan
11Department of Chemical Science and Engineering, Graduate School of Engineering, Kobe University, Kobe, Japan
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Satoru Kuhara
12Graduate School of Bioresource and Bioenvironmental Sciences, Faculty of Agriculture, Kyushu University, Fukuoka, Japan
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Hiroyuki Aburatani
13Genome Science Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan
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Ramon I. Klein Geltink
8BC Children’s Hospital Research Institute, Department of Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, Canada
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Yasuhiro Takashima
6Center for iPS Cell Research and Application, Kyoto University, Kyoto, Japan
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Nika Shakiba
1School of Biomedical Engineering, Faculty of Applied Science and Faculty of Medicine, The University of British Columbia, Vancouver, Canada
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Nozomu Yachie
1School of Biomedical Engineering, Faculty of Applied Science and Faculty of Medicine, The University of British Columbia, Vancouver, Canada
3Synthetic Biology Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan
14Premium Research Institute for Human Metaverse Medicine (WPI-PRIMe), Osaka University, Suita, Osaka, Japan
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  • For correspondence: nozomu.yachie@ubc.ca
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Abstract

Clonal heterogeneity underlies diverse biological processes, including cancer progression, cell differentiation, and microbial evolution. Cell tagging strategies with DNA barcodes have recently enabled analysis of clone size dynamics and clone-restricted transcriptomic landscapes of heterogeneous populations. However, isolating a target clone that displays a specific phenotype from a complex population remains challenging. Here, we present a new multi-kingdom genetic barcoding system, CloneSelect, in which a target cell clone can be triggered to express a reporter gene for isolation through barcode-specific CRISPR base editing. In CloneSelect, cells are first barcoded and propagated so their subpopulation can be subjected to a given experiment. A clone that shows a phenotype or genotype of interest at a given time can then be isolated from the initial or subsequent cell pools stored throughout the experimental timecourse. This novel CRISPR-barcode genetics platform provides many new ways of analyzing and manipulating mammalian, yeast, and bacterial systems.

Teaser A multi-kingdom CRISPR-activatable barcoding system enables the precise isolation of target barcode-labeled clones from a complex cell population.

Competing Interest Statement

K.I. is an employee of Spiber Inc. The other authors declare no competing interests.

Footnotes

  • ↵15 Twitter: @soh i

  • ↵16 Twitter: @nzmyachie

  • ↵17 Twitter: @yachielab

  • ↵18 Mastodon: sciencemastodon.com/@nzm

  • After discussing the first version with Aziz Al'Khafaji, who developed COLBERT, we realized that the high-copy CRISPRa experiments presented in the paper were not performed the same way as COLBERT/ClonMapper. We revised the texts related to this and provided additional discussions.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted January 24, 2023.
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A multi-kingdom genetic barcoding system for precise target clone isolation
Soh Ishiguro, Kana Ishida, Rina C. Sakata, Hideto Mori, Mamoru Takana, Samuel King, Omar Bashth, Minori Ichiraku, Nanami Masuyama, Ren Takimoto, Yusuke Kijima, Arman Adel, Hiromi Toyoshima, Motoaki Seki, Ju Hee Oh, Anne-Sophie Archambault, Keiji Nishida, Akihiko Kondo, Satoru Kuhara, Hiroyuki Aburatani, Ramon I. Klein Geltink, Yasuhiro Takashima, Nika Shakiba, Nozomu Yachie
bioRxiv 2023.01.18.524633; doi: https://doi.org/10.1101/2023.01.18.524633
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A multi-kingdom genetic barcoding system for precise target clone isolation
Soh Ishiguro, Kana Ishida, Rina C. Sakata, Hideto Mori, Mamoru Takana, Samuel King, Omar Bashth, Minori Ichiraku, Nanami Masuyama, Ren Takimoto, Yusuke Kijima, Arman Adel, Hiromi Toyoshima, Motoaki Seki, Ju Hee Oh, Anne-Sophie Archambault, Keiji Nishida, Akihiko Kondo, Satoru Kuhara, Hiroyuki Aburatani, Ramon I. Klein Geltink, Yasuhiro Takashima, Nika Shakiba, Nozomu Yachie
bioRxiv 2023.01.18.524633; doi: https://doi.org/10.1101/2023.01.18.524633

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