Unverified paper record
Quantitative Ratiometric Analysis of FRET-Based Biosensors in Arabidopsis thaliana Enables Live Measurement of Analytes in Subcellular Compartments.
Journal of visualized experiments : JoVE · 24 Feb 2026 · 10.3791/70028
Abstract
Fluorescent biosensors provide a non-invasive and versatile approach to monitor dynamic changes in metabolite or ion concentrations within live cells. Specifically, FRET-based biosensors enable ratiometric measurements that report subcellular analyte levels while being independent of biosensor expression levels. We describe a comprehensive and standardized protocol for the quantitative ratiometric analysis of FRET-based biosensors in plants. The protocol guides users through live-sample preparation, confocal image acquisition of donors, FRET, and acceptor channels, binary mask generation for subcellular regions of interest, followed by regression-based ratiometric data analysis. The primary output is regression-derived ratiometric readout that enables quantitative comparisons between genotypes, tissues, developmental stages, and treatment conditions. Using the cpFLIPPi-5.3m biosensor for inorganic phosphate as an example, we demonstrate measurement of inorganic phosphate levels in the chloroplast stroma of A. thaliana. This analytical framework is broadly applicable to other FRET-based biosensors and model systems, enabling precise spatiotemporal quantification of metabolites and ions in vivo. This strategy delivers measurable insights into the subcellular dynamics of metabolites and ions, supporting comparisons under varied experimental settings.
Plant phenotyping relevance
植物の細胞内代謝物・イオン濃度を定量するFRET画像解析プロトコルの開発・実証であり、表現型取得と解析手法が中心である。
abstractWe describe a comprehensive and standardized protocol for the quantitative ratiometric analysis of FRET-based biosensors in plants.
abstractThe protocol guides users through live-sample preparation, confocal image acquisition of donors, FRET, and acceptor channels, binary mask generation for subcellular regions of interest, followed by regression-based ratiometric data analysis.
abstractUsing the cpFLIPPi-5.3m biosensor for inorganic phosphate as an example, we demonstrate measurement of inorganic phosphate levels in the chloroplast stroma of A. thaliana.
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