ArticleACS synthetic biology2024
Dynamic Multiplexed Control and Modeling of Optogenetic Systems Using the High-Throughput Optogenetic Platform, Lustro.
Article in ACS synthetic biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Characterizing Optogenetic Tools for Use in Synthetic Gene Circuits.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Leveraging artificial intelligence for efficient microbial production.Bioresource technology · 2026Review
- Potent optogenetic regulation of gene expression in mammalian cells for bioproduction and basic research.Nucleic acids research · 2025Article
- Lighting up yeast: overview of optogenetics in yeast and their applications to yeast biotechnology.FEMS yeast research · 2025Review
- Protein design accelerates the development and application of optogenetic tools.Computational and structural biotechnology journal · 2025Review
- Spatiotemporal Control of Protein Activity through Optogenetic Allosteric Regulation.Journal of visualized experiments : JoVE · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The ability to control cellular processes using optogenetics is inducer-limited, with most optogenetic systems responding to blue light. To address this limitation, we leverage an integrated framework combining Lustro, a powerful high-throughput optogenetics platform, and machine learning tools to enable multiplexed control over blue light-sensitive optogenetic systems. Specifically, we identify light induction conditions for sequential activation as well as preferential activation and switching between pairs of light-sensitive split transcription factors in the budding yeast,
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Registered trials
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