Suppr超能文献

利用基因编码荧光生物传感器在体可视化硝酸盐动力学。

In vivo visualization of nitrate dynamics using a genetically encoded fluorescent biosensor.

机构信息

Agricultural Biotechnology Research Center, Academia Sinica, Taipei 115, Taiwan.

Advanced Imaging Center, Howard Hughes Medical Institute Janelia Research Campus, Ashburn, VA 20147, USA.

出版信息

Sci Adv. 2022 Oct 21;8(42):eabq4915. doi: 10.1126/sciadv.abq4915. Epub 2022 Oct 19.

Abstract

Nitrate (NO) uptake and distribution are critical to plant life. Although the upstream regulation of NO uptake and downstream responses to NO in a variety of cells have been well studied, it is still not possible to directly visualize the spatial and temporal distribution of NO with high resolution at the cellular level. Here, we report a nuclear-localized, genetically encoded fluorescent biosensor, which we named NitraMeter3.0, for the quantitative visualization of NO distribution in . This biosensor tracked the spatiotemporal distribution of NO along the primary root axis and disruptions by genetic mutation of transport (low NO uptake) and assimilation (high NO accumulation). The developed biosensor effectively monitors NO concentrations at the cellular level in real time and spatiotemporal changes during the plant life cycle.

摘要

硝酸盐(NO)的摄取和分布对植物的生命至关重要。虽然已经很好地研究了各种细胞中 NO 摄取的上游调控和对 NO 的下游反应,但仍然不可能在细胞水平上直接以高分辨率可视化 NO 的空间和时间分布。在这里,我们报告了一种核定位的、基因编码的荧光生物传感器,我们将其命名为 NitraMeter3.0,用于定量可视化 在 中的 NO 分布。该生物传感器跟踪了 NO 沿着主根轴的时空分布以及运输(低 NO 摄取)和同化(高 NO 积累)遗传突变的干扰。开发的生物传感器能够有效地实时监测细胞水平上的 NO 浓度以及植物生命周期中时空变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f97/9581486/79a163865d6f/sciadv.abq4915-f1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验