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一种工程化的生物传感器能够实现活细胞中天冬氨酸的动态测量。

An engineered biosensor enables dynamic aspartate measurements in living cells.

机构信息

Human Biology Division, Fred Hutchinson Cancer Center, Seattle, United States.

Molecular and Cellular Biology Program, University of Washington, Seattle, United States.

出版信息

Elife. 2024 Feb 23;12:RP90024. doi: 10.7554/eLife.90024.

Abstract

Intracellular levels of the amino acid aspartate are responsive to changes in metabolism in mammalian cells and can correspondingly alter cell function, highlighting the need for robust tools to measure aspartate abundance. However, comprehensive understanding of aspartate metabolism has been limited by the throughput, cost, and static nature of the mass spectrometry (MS)-based measurements that are typically employed to measure aspartate levels. To address these issues, we have developed a green fluorescent protein (GFP)-based sensor of aspartate (jAspSnFR3), where the fluorescence intensity corresponds to aspartate concentration. As a purified protein, the sensor has a 20-fold increase in fluorescence upon aspartate saturation, with dose-dependent fluorescence changes covering a physiologically relevant aspartate concentration range and no significant off target binding. Expressed in mammalian cell lines, sensor intensity correlated with aspartate levels measured by MS and could resolve temporal changes in intracellular aspartate from genetic, pharmacological, and nutritional manipulations. These data demonstrate the utility of jAspSnFR3 and highlight the opportunities it provides for temporally resolved and high-throughput applications of variables that affect aspartate levels.

摘要

细胞内天冬氨酸的水平对哺乳动物细胞代谢的变化有反应,可以相应地改变细胞功能,这凸显了对强大的工具来测量天冬氨酸丰度的需求。然而,由于基于质谱(MS)的测量通常用于测量天冬氨酸水平,其通量、成本和静态性质限制了对天冬氨酸代谢的全面理解。为了解决这些问题,我们开发了一种基于绿色荧光蛋白(GFP)的天冬氨酸传感器(jAspSnFR3),其荧光强度与天冬氨酸浓度相对应。作为一种纯化蛋白,该传感器在天冬氨酸饱和时的荧光强度增加了 20 倍,具有剂量依赖性的荧光变化覆盖了生理相关的天冬氨酸浓度范围,并且没有明显的非靶标结合。在哺乳动物细胞系中表达时,传感器的强度与 MS 测量的天冬氨酸水平相关,并且可以分辨遗传、药理学和营养操作引起的细胞内天冬氨酸的时间变化。这些数据证明了 jAspSnFR3 的实用性,并强调了它为影响天冬氨酸水平的变量提供了时间分辨和高通量应用的机会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c503/10942590/2c00861ab4c7/elife-90024-fig1.jpg

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