拟南芥硝酸盐的荧光生物传感器成像。

Yen-Ning Chen, Cheng-Hsun Ho
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引用次数: 0

摘要

硝态氮(NO3-)是动植物必需的元素和营养物质。尽管对各种细胞对硝酸盐吸收和下游反应的调控进行了广泛的研究,但我们对不同根细胞类型及其细胞室中氮形态分布的了解仍然有限。以前的生理模型依赖于体外生物化学和代谢物水平分析,这限制了区分细胞类型和区室的能力。在这里,为了解决这个问题,我们报道了一个核定位的,遗传编码的荧光生物传感器,我们命名为nlsNitraMeter3.0,用于在拟南芥细胞水平上定量可视化硝酸盐浓度和分布。这种生物传感器是专门为硝酸盐测量而设计的,而不是亚硝酸盐。利用酵母、爪蟾卵母细胞和拟南芥表达系统,通过基因工程创建和选择传感器,我们开发了一种可逆的、高特异性的硝酸盐传感器。该方法与荧光成像系统(如共聚焦显微镜)相结合,可以以微创的方式了解和监测植物根细胞中硝酸盐转运蛋白的活性。此外,该方法还可以实现硝酸盐转运体的功能分析和硝酸盐在植物体内分布的测量,为植物生物学研究提供了有价值的工具。综上所述,我们提供了一种传感器开发方案和一种可用于监测植物硝酸盐水平的生物传感器。该协议建立在FRET生物传感器的概念上,用于在细胞分辨率下的时空硝酸盐水平的体内可视化。硝酸盐水平可以定量利用生物传感器结合板读取器或荧光显微镜。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Fluorescent Biosensor Imaging of Nitrate in Arabidopsis thaliana.

Nitrate (NO3-) is an essential element and nutrient for plants and animals. Despite extensive studies on the regulation of nitrate uptake and downstream responses in various cells, our knowledge of the distribution of nitrogen forms in different root cell types and their cellular compartments is still limited. Previous physiological models have relied on in vitro biochemistry and metabolite level analysis, which limits the ability to differentiate between cell types and compartments. Here, to address this, we report a nuclear-localized, genetically encoded fluorescent biosensor, which we named nlsNitraMeter3.0, for the quantitative visualization of nitrate concentration and distribution at the cellular level in Arabidopsis thaliana. This biosensor was specifically designed for nitrate measurements, not nitrite. Through genetic engineering to create and select sensors using yeast, Xenopus oocyte, and Arabidopsis expression systems, we developed a reversible and highly specific nitrate sensor. This method, combined with fluorescence imaging systems such as confocal microscopy, allows for the understanding and monitoring of nitrate transporter activity in plant root cells in a minimally invasive manner. Furthermore, this approach enables the functional analysis of nitrate transporters and the measurement of nitrate distribution in plants, providing a valuable tool for plant biology research. In summary, we provide a protocol for sensor development and a biosensor that can be used to monitor nitrate levels in plants. Key features This protocol builds upon the concept of FRET biosensors for in vivo visualization of spatiotemporal nitrate levels at a cellular resolution. Nitrate levels can be quantified utilizing the biosensor in conjunction with either a plate reader or a fluorescence microscope.

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