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Opto-MASS: a high-throughput engineering platform for genetically encoded fluorescent sensors enabling all-optical in vivo detection of monoamines and opioids

View ORCID ProfileMichael Rappleye, Adam Gordon-Fennel, View ORCID ProfileDaniel C. Castro, Avi K. Matarasso, Catalina A. Zamorano, Carrie Stine, Sarah J. Wait, Justin D. Lee, Jamison C. Siebart, Azra Suko, Netta Smith, Jeanot Muster, View ORCID ProfileKenneth A Matreyek, View ORCID ProfileDouglas M. Fowler, View ORCID ProfileGarrett D. Stuber, View ORCID ProfileMichael R. Bruchas, View ORCID ProfileAndre Berndt
doi: https://doi.org/10.1101/2022.06.01.494241
Michael Rappleye
1Department of Bioengineering, University of Washington, Seattle WA
2Institute of Stem Cell and Regenerative Medicine, University of Washington, Seattle WA
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  • ORCID record for Michael Rappleye
Adam Gordon-Fennel
3Department of Anesthesiology and Pain Medicine, University of Washington, Seattle WA
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Daniel C. Castro
4Mallinckrodt Institute of Radiology, Washington University in St. Louis, MO
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Avi K. Matarasso
1Department of Bioengineering, University of Washington, Seattle WA
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Catalina A. Zamorano
5Department of Pharmacology, University of Washington, Seattle WA
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Carrie Stine
5Department of Pharmacology, University of Washington, Seattle WA
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Sarah J. Wait
2Institute of Stem Cell and Regenerative Medicine, University of Washington, Seattle WA
6Molecular Engineering and Sciences Institute, University of Washington, Seattle WA
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Justin D. Lee
2Institute of Stem Cell and Regenerative Medicine, University of Washington, Seattle WA
6Molecular Engineering and Sciences Institute, University of Washington, Seattle WA
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Jamison C. Siebart
1Department of Bioengineering, University of Washington, Seattle WA
2Institute of Stem Cell and Regenerative Medicine, University of Washington, Seattle WA
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Azra Suko
3Department of Anesthesiology and Pain Medicine, University of Washington, Seattle WA
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Netta Smith
1Department of Bioengineering, University of Washington, Seattle WA
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Jeanot Muster
7Seattle Children’s Research Institute, Seattle WA
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Kenneth A Matreyek
8Department of Pathology, Case Western Reserve University, Cleveland OH
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  • ORCID record for Kenneth A Matreyek
Douglas M. Fowler
9Department of Genome Sciences, University of Washington, Seattle WA
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Garrett D. Stuber
3Department of Anesthesiology and Pain Medicine, University of Washington, Seattle WA
5Department of Pharmacology, University of Washington, Seattle WA
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Michael R. Bruchas
3Department of Anesthesiology and Pain Medicine, University of Washington, Seattle WA
5Department of Pharmacology, University of Washington, Seattle WA
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Andre Berndt
1Department of Bioengineering, University of Washington, Seattle WA
2Institute of Stem Cell and Regenerative Medicine, University of Washington, Seattle WA
6Molecular Engineering and Sciences Institute, University of Washington, Seattle WA
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  • For correspondence: berndtuw@uw.edu
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Abstract

Fluorescent sensor proteins are instrumental for detecting biological signals in vivo with high temporal accuracy and cell-type specificity. However, engineering sensors with physiological ligand sensitivity and selectivity is difficult because they need to be optimized through individual mutagenesis in vitro to assess their performance. The vast mutational landscape proteins constitute an obstacle that slows down sensor development. This is particularly true for sensors that require mammalian host systems to be screened. Here, we developed a novel high-throughput engineering platform that functionally tests thousands of variants simultaneously in mammalian cells and thus allows the screening of large variant numbers. We showcase the capabilities of our platform, called Optogenetic Microwell Array Screening System (Opto-MASS), by engineering novel monoamine and neuropeptide in vivo capable sensors with distinct physiological roles at high-throughput.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • 1. We added Carrie Stine as a co-author 2. Fig. 2K, right panel: We changed the y-axix label from "Opto-MASS dF/F0 (%)" to "Opto-MASS CoV (%)"

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 June 17, 2022.
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Opto-MASS: a high-throughput engineering platform for genetically encoded fluorescent sensors enabling all-optical in vivo detection of monoamines and opioids
Michael Rappleye, Adam Gordon-Fennel, Daniel C. Castro, Avi K. Matarasso, Catalina A. Zamorano, Carrie Stine, Sarah J. Wait, Justin D. Lee, Jamison C. Siebart, Azra Suko, Netta Smith, Jeanot Muster, Kenneth A Matreyek, Douglas M. Fowler, Garrett D. Stuber, Michael R. Bruchas, Andre Berndt
bioRxiv 2022.06.01.494241; doi: https://doi.org/10.1101/2022.06.01.494241
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Opto-MASS: a high-throughput engineering platform for genetically encoded fluorescent sensors enabling all-optical in vivo detection of monoamines and opioids
Michael Rappleye, Adam Gordon-Fennel, Daniel C. Castro, Avi K. Matarasso, Catalina A. Zamorano, Carrie Stine, Sarah J. Wait, Justin D. Lee, Jamison C. Siebart, Azra Suko, Netta Smith, Jeanot Muster, Kenneth A Matreyek, Douglas M. Fowler, Garrett D. Stuber, Michael R. Bruchas, Andre Berndt
bioRxiv 2022.06.01.494241; doi: https://doi.org/10.1101/2022.06.01.494241

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