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通过气相色谱-负化学电离-质谱进行基线分离和软电离的糖磷酸分析可提高癌细胞中双向反应的通量估计。

Sugar phosphate analysis with baseline separation and soft ionization by gas chromatography-negative chemical ionization-mass spectrometry improves flux estimation of bidirectional reactions in cancer cells.

机构信息

Department of Bioinformatic Engineering, Graduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita, Osaka 565-0871, Japan.

Analytical and Measuring Instruments Division, Shimadzu Corporation, 1 Nishinokyo Kuwabara-cho, Nakagyo-ku, Kyoto, Japan.

出版信息

Metab Eng. 2019 Jan;51:43-49. doi: 10.1016/j.ymben.2018.08.011. Epub 2018 Sep 1.

Abstract

Precise measurement of sugar phosphates in glycolysis and the pentose phosphate (PP) pathway for C-metabolic flux analysis (C-MFA) is needed to understand cancer-specific metabolism. Although various analytical methods have been proposed, analysis of sugar phosphates is challenging because of the structural similarity of various isomers and low intracellular abundance. In this study, gas chromatography-negative chemical ionization-mass spectrometry (GC-NCI-MS) is applied to sugar phosphate analysis with o-(2,3,4,5,6-pentafluorobenzyl) oxime (PFBO) and trimethylsilyl (TMS) derivatization. Optimization of the GC temperature gradient achieved baseline separation of sugar phosphates in 31 min. Mass spectra showed the predominant generation of fragment ions containing all carbon atoms in the sugar phosphate backbone. The limit of detection of pentose 5-phosphates and hexose 6-phosphates was 10 nM. The method was applied to C-labeling measurement of sugar phosphates for C-MFA of the MCF-7 human breast cancer cell line. C-labeling of sugar phosphates for C-MFA improved the estimation of the net flux and reversible flux of bidirectional reactions in glycolysis and the PP pathway.

摘要

为了理解癌症特异性代谢,需要对糖磷酸进行精确测量,以便进行糖酵解和戊糖磷酸 (PP) 途径的 C 代谢通量分析 (C-MFA)。尽管已经提出了各种分析方法,但由于各种异构体的结构相似性和细胞内丰度低,糖磷酸的分析具有挑战性。在这项研究中,应用气相色谱-负化学电离-质谱 (GC-NCI-MS) 结合 o-(2,3,4,5,6-五氟苄基)肟 (PFBO) 和三甲基硅基 (TMS) 衍生化进行糖磷酸分析。GC 温度梯度的优化实现了糖磷酸在 31 分钟内的基线分离。质谱显示,主要生成含有糖磷酸主链所有碳原子的碎片离子。五碳糖 5-磷酸和六碳糖 6-磷酸的检测限为 10 nM。该方法应用于 MCF-7 人乳腺癌细胞系的 C 标记糖磷酸的 C-MFA 测量。用于 C-MFA 的糖磷酸 C 标记提高了糖酵解和 PP 途径中双向反应的净通量和可逆通量的估计。

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