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通过³²P标记和薄层层析分析植物信号磷脂。

Analyzing plant signaling phospholipids through 32Pi-labeling and TLC.

作者信息

Munnik Teun, Zarza Xavier

机构信息

Swammerdam Institute for Life Sciences, Section Plant Physiology, University of Amsterdam, Amsterdam, The Netherlands.

出版信息

Methods Mol Biol. 2013;1009:3-15. doi: 10.1007/978-1-62703-401-2_1.

Abstract

Lipidomic analyses through LC-, GC-, and ESI-MS/MS can detect numerous lipid species based on headgroup and fatty acid compositions but usually miss the minor phospholipids involved in cell signaling because of their low chemical abundancy. Due to their high turnover, these signaling lipids are, however, readily picked up by labeling plant material with (32)P-orthophosphate and subsequent analysis of the lipid extracts by thin layer chromatography. Here, protocols are described for suspension-cultured tobacco BY-2 cells, young Arabidopsis seedlings, Vicia faba roots, and Arabidopsis leaf disks, which can easily be modified for other plant species and tissues.

摘要

通过液相色谱、气相色谱和电喷雾串联质谱进行的脂质组学分析能够基于头部基团和脂肪酸组成检测众多脂质种类,但由于参与细胞信号传导的次要磷脂化学丰度较低,通常会遗漏这些磷脂。然而,由于这些信号脂质的周转率很高,通过用(32)P-正磷酸盐标记植物材料,随后通过薄层色谱分析脂质提取物,就很容易检测到它们。本文描述了适用于悬浮培养的烟草BY-2细胞、拟南芥幼苗、蚕豆根和拟南芥叶盘的实验方案,这些方案可轻松修改用于其他植物物种和组织。

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