A decoupled transcription platform enables tunable and predictable gene expression in yeast

Engineering notes

Key topics: autonomous driving, control. See the paper for implementation details and experimental results.

Chinese explanation / 中文解读

中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

Predictable control of gene expression is essential for building genetic circuits and improving metabolic pathways, but conventional promoter libraries often behave unpredictably when genes are combined. Here we develop CRISPR-Activated Promoter-based Orthogonal expression (CAPO), a quantitative platform for controlling multiple genes in yeast. CAPO uses synthetic CRISPR-activated promoters that remain silent until matching guide RNAs recruit dCas9-VPR. We tune each gene by varying guide RNA abundance with defined T7 promoters, while keeping regulatory channels orthogonal. CAPO reaches expression levels comparable to strong native yeast promoters, maintains low background activity, and preserves promoter-strength order across different genes. We apply CAPO to program broad fluorescence color outputs and to rapidly optimize lycopene and 3-hydroxypropionic acid biosynthesis. These results establish CAPO as a scalable platform for predictable engineering of eukaryotic gene networks. Efficient bioproduction using eukaryotes, such as engineered Saccharomyces cerevisiae, requires precise control over gene expression. Here, authors develop CAPO, a CRISPR-guided system that tunes gene activity in yeast and enables multiplex colour generation and faster optimization of metabolic pathways.

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