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用于人类多聚磷酸盐定量的优化生化方法。

Optimized biochemical method for human Polyphosphate quantification.

作者信息

Lázaro Blanca, Sarrias Ana, Tadeo Francisco J, Martínez-Láinez Joan Marc, Fernández Ainhoa, Quandt Eva, Depares Blanca, Dürr-Mayer Tobias, Jessen Henning, Jiménez Javier, Clotet Josep, Bru Samuel

机构信息

Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Universitat Internacional de Catalunya. 08195 Barcelona, Spain.

Institute of Organic Chemistry, University of Freiburg, 79104 Freiburg, Germany; CIBSS - Centre for Integrative Biological Signalling Studies, University of Freiburg, 79104 Freiburg, Germany.

出版信息

Methods. 2025 Feb;234:211-222. doi: 10.1016/j.ymeth.2025.01.001. Epub 2025 Jan 4.

Abstract

Polyphosphate (polyP), a biopolymer composed of phosphates, impacts a wide range of biological functions and pathological conditions in all organisms. However, polyP's intricate physiology and structure in human cells have remained elusive, largely due to the lack of a reliable quantification method including its extraction. In this study, we assess critical points in the whole process: extraction, purification, and quantification polyP from human cell lines. We developed a highly efficient method that extracts between 3 and 100 times more polyP than previously achieved. Supported by Nuclear Magnetic Resonance (NMR), our approach confirms that mammalian polyP is primarily a linear unbranched polymer. We applied the optimized method to commonly used human cell lines, uncovering important variations of intracellular polyP that correlate with the expression levels of specific polyP converting enzymes. This study underscores the importance of employing several techniques for polyP characterization in parallel and provides a valuable and standardized tool for further exploration in this field.

摘要

多聚磷酸盐(polyP)是一种由磷酸盐组成的生物聚合物,影响着所有生物体的广泛生物学功能和病理状况。然而,多聚磷酸盐在人类细胞中复杂的生理学和结构仍然难以捉摸,这主要是由于缺乏包括其提取在内的可靠定量方法。在本研究中,我们评估了从人类细胞系中提取、纯化和定量多聚磷酸盐的整个过程中的关键点。我们开发了一种高效方法,提取的多聚磷酸盐比以前的方法多3至100倍。在核磁共振(NMR)的支持下,我们的方法证实哺乳动物的多聚磷酸盐主要是线性无分支聚合物。我们将优化后的方法应用于常用的人类细胞系,发现细胞内多聚磷酸盐的重要变化与特定多聚磷酸盐转化酶的表达水平相关。本研究强调了同时采用多种技术进行多聚磷酸盐表征的重要性,并为该领域的进一步探索提供了一个有价值的标准化工具。

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