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Related Concept Videos

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Photoluminescence offers a wide range of applications due to its inherent sensitivity and selectivity. This technique allows for both direct and indirect analyses of the analyte. Direct quantitative analysis is possible when the analyte exhibits a favorable quantum yield for fluorescence or phosphorescence. However, an indirect analysis may be feasible if the analyte is not fluorescent or phosphorescent, or if the quantum yield is unfavorable. Indirect methods include reacting the analyte with...
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Fabrication of White Light-emitting Electrochemical Cells with Stable Emission from Exciplexes
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Engineering luminopsins with improved coupling efficiencies.

Ashley N Slaviero1,2, Nipun Gorantla1, Jacob Simkins1

  • 1Central Michigan University, College of Medicine, Mount Pleasant, Michigan, United States.

Neurophotonics
|April 1, 2024
PubMed
Summary
This summary is machine-generated.

Brighter luciferase and more sensitive opsins enhance luminopsin (LMO) tools for neuronal control. N-terminal fusions improve LMO efficacy, paving the way for advanced optogenetic and chemogenetic research applications.

Keywords:
Förster resonance energy transferbioluminescenceluciferaseopsinoptogeneticswhole cell patch clamp recording

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Area of Science:

  • Neuroscience
  • Biotechnology
  • Optogenetics

Background:

  • Luminopsins (LMOs) are engineered proteins combining luciferase and opsin for dual optogenetic and chemogenetic neuronal control.
  • Understanding LMO design principles is crucial for optimizing their efficacy in neuroscience research.

Purpose of the Study:

  • To investigate the impact of luciferase brightness, opsin sensitivity, spectral matching, and fusion arrangement on LMO function.
  • To identify key design features for enhancing LMO performance in neuronal manipulation.

Main Methods:

  • Quantified LMO efficacy using whole-cell patch clamp recordings in HEK293 cells, measuring coupling efficiency.
  • Validated findings in primary neurons via multielectrode array recordings.
  • Assessed the influence of luciferase brightness, opsin sensitivity, and fusion topology.

Main Results:

  • Luciferase brightness and opsin sensitivity were the primary determinants of LMO efficacy.
  • N-terminal fusion of luciferase to opsin yielded superior performance compared to C-terminal or multi-terminal fusions.
  • Precise spectral overlap between luciferase emission and opsin absorption was less critical than anticipated.

Conclusions:

  • Optimizing LMOs involves enhancing bioluminescent brightness and opsin sensitivity.
  • Molecular evolution of fusion proteins, leveraging Förster resonance energy transfer, offers a promising strategy for future LMO development.
  • N-terminal fusion designs represent a significant improvement for LMO functionality.