利用超极化13C核磁共振实时检测活细胞代谢。

IF 1.2 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES
Tomoto Ura, Keita Saito, Ryoma Kobayashi, Natsuko Miura, Yoichi Takakusagi
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引用次数: 0

摘要

该方案提出了一种将内置生物反应器系统与超极化13C核磁共振(NMR)光谱相结合的方法,以实时测量活细胞中的丙酮酸代谢。该方案概述了生物反应器系统的构建,该系统允许超极化底物注射和核磁共振信号采集的精确定时,同时保持稳定的细胞培养环境。该方法在60 s的测量窗口内可靠地检测丙酮酸到乳酸的代谢转化,同时在整个过程中保持足够的信噪比。该系统的原位混合能力加速了核磁共振信号的检测,减少了T1弛豫损失。该方案还包括详细说明海藻酸盐凝胶的制备,以封装细胞并将其放置在生物反应器中。与传统方法相比,该方法具有更好的重复性和动力学准确性,在癌症代谢研究和药物筛选中具有潜在的应用前景。该系统的进一步改进,如采用替代凝胶基质,可能会提高其在各种生物学研究中的通用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-Time Metabolic Detection in Living Cells Using Hyperpolarized 13C NMR.

The protocol presents a method to integrate an in-house-built bioreactor system with hyperpolarized 13C nuclear magnetic resonance (NMR) spectroscopy to measure pyruvate metabolism in live cells in real time. The protocol outlines the construction of a bioreactor system that allows precise timing of hyperpolarized substrate injection and NMR signal acquisition while maintaining a stable cell culture environment. The method reliably detects the metabolic conversion of pyruvate to lactate within a 60 s measurement window while maintaining a sufficient signal-to-noise ratio throughout the process. The in situ mixing capability of the system accelerates NMR signal detection and reduces T1 relaxation losses. The protocol also includes detailed instructions for the preparation of alginate gels to encapsulate cells and place them within the bioreactor. The proposed method exhibits improved reproducibility and kinetic accuracy compared to conventional methods, indicating potential applications in cancer metabolism studies and drug screening. Further refinements of the system, such as the adoption of alternative gel matrices, may improve its versatility in various biological studies.

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来源期刊
Jove-Journal of Visualized Experiments
Jove-Journal of Visualized Experiments MULTIDISCIPLINARY SCIENCES-
CiteScore
2.10
自引率
0.00%
发文量
992
期刊介绍: JoVE, the Journal of Visualized Experiments, is the world''s first peer reviewed scientific video journal. Established in 2006, JoVE is devoted to publishing scientific research in a visual format to help researchers overcome two of the biggest challenges facing the scientific research community today; poor reproducibility and the time and labor intensive nature of learning new experimental techniques.
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