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Optogenetic Microwell Array Screening System: A High-Throughput Engineering Platform for Genetically Encoded Fluorescent Indicators.
Rappleye, Michael; Wait, Sarah J; Lee, Justin Daho; Siebart, Jamison C; Torp, Lily; Smith, Netta; Muster, Jeanot; Matreyek, Kenneth A; Fowler, Douglas M; Berndt, Andre.
Afiliación
  • Rappleye M; Department of Bioengineering, University of Washington, 850 Republican Street, Seattle, Washington 98105, United States.
  • Wait SJ; Institute of Stem Cell and Regenerative Medicine, University of Washington, 850 Republican Street, Seattle, Washington 98109, United States.
  • Lee JD; Institute of Stem Cell and Regenerative Medicine, University of Washington, 850 Republican Street, Seattle, Washington 98109, United States.
  • Siebart JC; Molecular Engineering and Sciences Institute, University of Washington, 3946 W Stevens Way NE, Seattle, Washington 98195, United States.
  • Torp L; Institute of Stem Cell and Regenerative Medicine, University of Washington, 850 Republican Street, Seattle, Washington 98109, United States.
  • Smith N; Molecular Engineering and Sciences Institute, University of Washington, 3946 W Stevens Way NE, Seattle, Washington 98195, United States.
  • Muster J; The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, 313 Ferst Dr NW, Atlanta, Georgia 30332, United States.
  • Matreyek KA; Department of Bioengineering, University of Washington, 850 Republican Street, Seattle, Washington 98105, United States.
  • Fowler DM; Institute of Stem Cell and Regenerative Medicine, University of Washington, 850 Republican Street, Seattle, Washington 98109, United States.
  • Berndt A; Department of Bioengineering, University of Washington, 850 Republican Street, Seattle, Washington 98105, United States.
ACS Sens ; 8(11): 4233-4244, 2023 11 24.
Article en En | MEDLINE | ID: mdl-37956352
ABSTRACT
Genetically encoded fluorescent indicators (GEFIs) are protein-based optogenetic tools that change their fluorescence intensity when binding specific ligands in cells and tissues. GEFI encoding DNA can be expressed in cell subtypes while monitoring cellular physiological responses. However, engineering GEFIs with physiological sensitivity and pharmacological specificity often requires iterative optimization through trial-and-error mutagenesis while assessing their biophysical function in vitro one by one. Here, the vast mutational landscape of proteins constitutes a significant obstacle that slows GEFI development, particularly for sensors that rely on mammalian host systems for testing. To overcome these obstacles, we developed a multiplexed high-throughput engineering platform called the optogenetic microwell array screening system (Opto-MASS) that functionally tests thousands of GEFI variants in parallel in mammalian cells. Opto-MASS represents the next step for engineering optogenetic tools as it can screen large variant libraries orders of magnitude faster than current methods. We showcase this system by testing over 13,000 dopamine and 21,000 opioid sensor variants. We generated a new dopamine sensor, dMASS1, with a >6-fold signal increase to 100 nM dopamine exposure compared to its parent construct. Our new opioid sensor, µMASS1, has a ∼4.6-fold signal increase over its parent scaffold's response to 500 nM DAMGO. Thus, Opto-MASS can rapidly engineer new sensors while significantly shortening the optimization time for new sensors with distinct biophysical properties.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Dopamina / Optogenética Idioma: En Revista: ACS Sens Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Dopamina / Optogenética Idioma: En Revista: ACS Sens Año: 2023 Tipo del documento: Article