ArticleiScience2026
Single-cell characterization of bacterial optogenetic Cre recombinases.
Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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
1 citing paper in PubMed.
- Single-cell analysis and control of microbial systems using optogenetics.Current opinion in microbiology · 2026Review
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3 authors.
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Abstract
Microbial optogenetic tools can regulate gene expression with spatial and temporal precision, offering excellent potential for single-cell resolution studies. However, bacterial optogenetic systems have primarily been deployed for population-level experiments. It is not always clear how these tools perform in single cells, where stochastic effects can be substantial. In this study, we focus on optogenetic Cre recombinase and compare the performance of three variants (OptoCre-REDMAP, OptoCre-Vvd, and PA-Cre) for their population-level and single-cell activity. We quantify recombination efficiency, expression variability, and activation dynamics using reporters which produce changes in fluorescence or antibiotic resistance following light-induced Cre activity. We find that optogenetic recombinase performance can be reporter-dependent. Further, single-cell analysis reveals highly heterogeneous activity, with substantial variation in the efficiency and timing of recombinase activity from cell to cell. These findings suggest important criteria for selecting optogenetic recombinases and indicate areas for optimization to improve single-cell capabilities of bacterial optogenetic tools.
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