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Metabolic Activity Phenotyping of Single Cells with Multiplexed Vibrational Probes.
Analytical Chemistry ( IF 6.7 ) Pub Date : 2020-06-12 , DOI: 10.1021/acs.analchem.0c00790
Zhilun Zhao 1 , Chen Chen 1 , Hanqing Xiong 1 , Jingwei Ji 1 , Wei Min 1
Affiliation  

Quantitative measurements of metabolic activities of individual cells are essential to understanding questions in diverse fields in biology. To address this challenge, we present a method, termed metabolic activity phenotyping (MAP), to probe metabolic fluxes by utilizing multiplexed vibrational metabolic probes. With specifically designed single-whole-cell confocal micro-Raman spectroscopy, quantitative measurement of lipid and protein synthesis activity was achieved with high throughput (several orders of magnitude improvement over a commercial confocal system). In addition, metabolic heterogeneity upon various drug treatments was also revealed and evaluated at the single-cell level. We further demonstrated that MAP was more robust than the label-free Raman methods and was able to make the correct classification among diverse cancer types and breast cancer subtypes by exploring the dimension of metabolism. The capability of MAP to explore metabolic profiles at the single-cell level makes it a valuable tool for basic single-cell studies as well as other screening applications.

中文翻译:

多重振动探针对单细胞的代谢活性表型分析。

单个细胞代谢活动的定量测量对于理解生物学各个领域的问题至关重要。为了解决这一挑战,我们提出了一种称为代谢活性表型(MAP)的方法,可以通过利用多重振动代谢探针来探测代谢通量。通过专门设计的单全细胞共聚焦显微拉曼光谱技术,可以高通量实现脂质和蛋白质合成活性的定量测量(比商业共聚焦系统提高了几个数量级)。此外,还揭示了各种药物治疗后的代谢异质性,并在单细胞水平上进行了评估。我们进一步证明了MAP比无标记的拉曼方法更强大,并且能够通过探索代谢的维度在各种癌症类型和乳腺癌亚型之间进行正确分类。MAP在单细胞水平上探索代谢谱的能力使其成为基础单细胞研究以及其他筛查应用的宝贵工具。
更新日期:2020-07-21
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