Analysis pipelines for both software packages and R scripts are available in the GitHub repository found at https://github.com/PameeMolinari/NCOMMS-22-05375-T 94 .
Open resource ↗PameeMolinari/NCOMMS-22-05375-T · lines:206-213Unverified paper record
NERNST: a genetically-encoded ratiometric non-destructive sensing tool to estimate NADP(H) redox status in bacterial, plant and animal systems.
Nature communications · 6 Jun 2023 · 10.1038/s41467-023-38739-4
Abstract
NADP(H) is a central metabolic hub providing reducing equivalents to multiple biosynthetic, regulatory and antioxidative pathways in all living organisms. While biosensors are available to determine NADP + or NADPH levels in vivo, no probe exists to estimate the NADP(H) redox status, a determinant of the cell energy availability. We describe herein the design and characterization of a genetically-encoded ratiometric biosensor, termed NERNST, able to interact with NADP(H) and estimate E NADP(H) . NERNST consists of a redox-sensitive green fluorescent protein (roGFP2) fused to an NADPH-thioredoxin reductase C module which selectively monitors NADP(H) redox states via oxido-reduction of the roGFP2 moiety. NERNST is functional in bacterial, plant and animal cells, and organelles such as chloroplasts and mitochondria. Using NERNST, we monitor NADP(H) dynamics during bacterial growth, environmental stresses in plants, metabolic challenges to mammalian cells, and wounding in zebrafish. NERNST estimates the NADP(H) redox poise in living organisms, with various potential applications in biochemical, biotechnological and biomedical research.
Plant phenotyping relevance
植物を含む生体内でNADP(H)酸化還元状態を推定する遺伝子 encoded センサーを設計・特性評価しており、植物の生理状態を測定する方法開発が中心である。
abstractWe describe herein the design and characterization of a genetically-encoded ratiometric biosensor, termed NERNST, able to interact with NADP(H) and estimate E NADP(H) .
abstractNERNST is functional in bacterial, plant and animal cells, and organelles such as chloroplasts and mitochondria.
Code and data availability
The paper's authors publicly deposited their image-analysis pipelines (ImageJ macros, CellProfiler/KNIME workflows, and R scripts) used to quantify NERNST biosensor fluorescence measurements, in a GitHub repository, and also cite a Zenodo archive of the same materials.
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