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Functional single cell selection and annotated profiling of dynamically changing cancer cells

Li You, Pin-Rui Su, Max Betjes, Reza Ghadiri Rad, Cecile Beerens, Eva van Oosten, Felix Leufkens, Paulina Gasecka, Mauro Muraro, Ruud van Tol, Ting-Chun Chou, Debby van Steenderen, Shazia Farooq, Jose Angelito U. Hardillo, Robert Baatenburg de Jong, Daan Brinks, Miao-Ping Chien
doi: https://doi.org/10.1101/2021.10.12.464054
Li You
1Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
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Pin-Rui Su
1Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
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Max Betjes
1Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
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Reza Ghadiri Rad
1Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
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Cecile Beerens
1Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
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Eva van Oosten
1Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
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Felix Leufkens
1Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
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Paulina Gasecka
1Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
2Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands
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Mauro Muraro
3Single Cell Discoveries, Utrecht, The Netherlands
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Ruud van Tol
2Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands
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Ting-Chun Chou
1Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
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Debby van Steenderen
1Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
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Shazia Farooq
1Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
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Jose Angelito U. Hardillo
4Department of Otorhinolaryngology, Head and Neck Surgery, Erasmus University Medical Center, Rotterdam, The Netherlands
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Robert Baatenburg de Jong
4Department of Otorhinolaryngology, Head and Neck Surgery, Erasmus University Medical Center, Rotterdam, The Netherlands
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Daan Brinks
1Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
2Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands
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  • For correspondence: m.p.chien@erasmusmc.nl d.brinks@tudelft.nl
Miao-Ping Chien
1Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
5Oncode Institute, Utrecht, The Netherlands
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  • For correspondence: m.p.chien@erasmusmc.nl d.brinks@tudelft.nl
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Abstract

A method connecting single cell genomic or transcriptomic profiles to functional cellular characteristics, in particular time-varying phenotypic changes, would be transformative for single cell and cancer biology. Here, we present fSCS: functional single cell selection. This technology combines a custom-built ultrawide field-of-view optical screening microscope, fast automated image analysis and a new photolabeling method, phototagging, using a newly synthesized visible-light-photoactivatable dye. Using fSCS, we screen, selectively photolabel and isolate cells of interest from large heterogeneous populations based on functional dynamics like fast migration, morphological variation, small molecule uptake or cell division. We combined fSCS with single cell RNA sequencing for functionally annotated transcriptomic profiling of fast migrating and spindle-shaped MCF10A cells with or without TGFβ induction. We identified critical genes and pathways driving aggressive migration as well as mesenchymal-like morphology that could not be detected with state-of-the-art single cell transcriptomic analysis. fSCS provides a crucial upstream selection paradigm for single cell sequencing independent of biomarkers, allows enrichment of rare cells and can facilitate the identification and understanding of molecular mechanisms underlying functional phenotypes.

Competing Interest Statement

The authors have declared no competing interest.

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 October 13, 2021.
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Functional single cell selection and annotated profiling of dynamically changing cancer cells
Li You, Pin-Rui Su, Max Betjes, Reza Ghadiri Rad, Cecile Beerens, Eva van Oosten, Felix Leufkens, Paulina Gasecka, Mauro Muraro, Ruud van Tol, Ting-Chun Chou, Debby van Steenderen, Shazia Farooq, Jose Angelito U. Hardillo, Robert Baatenburg de Jong, Daan Brinks, Miao-Ping Chien
bioRxiv 2021.10.12.464054; doi: https://doi.org/10.1101/2021.10.12.464054
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Functional single cell selection and annotated profiling of dynamically changing cancer cells
Li You, Pin-Rui Su, Max Betjes, Reza Ghadiri Rad, Cecile Beerens, Eva van Oosten, Felix Leufkens, Paulina Gasecka, Mauro Muraro, Ruud van Tol, Ting-Chun Chou, Debby van Steenderen, Shazia Farooq, Jose Angelito U. Hardillo, Robert Baatenburg de Jong, Daan Brinks, Miao-Ping Chien
bioRxiv 2021.10.12.464054; doi: https://doi.org/10.1101/2021.10.12.464054

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