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A Multiplexed Luciferase-based Screening Platform for Interrogating Cancer-associated Signal Transduction in Cultured Cells
Published on: July 3, 2013
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De novo luciferases enable multiplexed bioluminescence imaging
Julie Yi-Hsuan Chen1,2, Qing Shi1,2, Xue Peng1
1Department of Biomolecular Engineering, University of California, Santa Cruz, California, USA.
Chem
|May 26, 2025
Summary
AI-designed neoLux luciferases offer enhanced stability, efficiency, and cofactor independence over native enzymes. This breakthrough enables advanced cellular and in vivo imaging for complex biological discoveries, including cancer research.
Area of Science:
- Biochemistry
- Protein Engineering
- Synthetic Biology
Background:
- Native luciferases have limitations including cofactor dependence and suboptimal stability.
- De novo protein design offers a pathway to engineer novel biocatalysts with improved properties.
Purpose of the Study:
- To engineer a new class of luciferase catalysts (neoLux) using AI-driven de novo design.
- To develop neoLux-fluorescent protein fusions for advanced cellular and in vivo imaging applications.
Main Methods:
- Artificial intelligence (AI)-powered de novo protein design.
- Computational design of neoLux-fluorescent protein Förster Resonance Energy Transfer (FRET) fusions.
- Characterization of neoLux properties including stability, catalytic efficiency, and substrate orthogonality.
Main Results:
- The neoLux series exhibits superior properties: compact size, robust stability, cofactor independence, efficient expression, and higher catalytic efficiency.
- Engineered neoLux-FRET fusions enable simultaneous multi-parametric imaging in cellulo and in vivo.
- A unified luminescent toolkit for multi-colored tracking of cancer heterogeneity in vivo was created.
Conclusions:
- AI-driven de novo protein design successfully generated the neoLux series with significantly improved luciferase characteristics.
- NeoLux-based FRET fusions represent a powerful tool for advanced biological imaging and multi-parametric analysis.
- This work provides a foundation for novel applications in cancer research and complex biological discovery.
