Max-Planck-Institute of Molecular Plant Physiology, Campus Golm, Am Mühlenberg 1, D-14476 Potsdam OT Golm, Germany.
J Exp Bot. 2010 Mar;61(5):1321-35. doi: 10.1093/jxb/erq002. Epub 2010 Feb 11.
Metabolic phenotyping at cellular resolution may be considered one of the challenges in current plant physiology. A method is described which enables the cell type-specific metabolic analysis of epidermal cell types in Arabidopsis thaliana pavement, basal, and trichome cells. To achieve the required high spatial resolution, single cell sampling using microcapillaries was combined with routine gas chromatography-time of flight-mass spectrometry (GC-TOF-MS) based metabolite profiling. The identification and relative quantification of 117 mostly primary metabolites has been demonstrated. The majority, namely 90 compounds, were accessible without analytical background correction. Analyses were performed using cell type-specific pools of 200 microsampled individual cells. Moreover, among these identified metabolites, 38 exhibited differential pool sizes in trichomes, basal or pavement cells. The application of an independent component analysis confirmed the cell type-specific metabolic phenotypes. Significant pool size changes between individual cells were detectable within several classes of metabolites, namely amino acids, fatty acids and alcohols, alkanes, lipids, N-compounds, organic acids and polyhydroxy acids, polyols, sugars, sugar conjugates and phenylpropanoids. It is demonstrated here that the combination of microsampling and GC-MS based metabolite profiling provides a method to investigate the cellular metabolism of fully differentiated plant cell types in vivo.
在细胞分辨率下进行代谢表型分析可能被认为是当前植物生理学的挑战之一。本文描述了一种方法,该方法能够对拟南芥表皮细胞的叶肉细胞、基细胞和毛状体细胞进行特定于细胞类型的代谢分析。为了实现所需的高空间分辨率,使用微毛细管进行单细胞采样,并结合常规气相色谱-飞行时间质谱(GC-TOF-MS)进行代谢物分析。已经证明可以鉴定和相对定量 117 种主要代谢物。其中,大多数(即 90 种化合物)无需进行分析背景校正即可获得。分析使用 200 个微取样的单细胞进行细胞类型特异性池分析。此外,在这些鉴定出的代谢物中,38 种在毛状体、基细胞或叶肉细胞中具有不同的池大小。独立成分分析的应用证实了细胞类型特异性的代谢表型。在几类代谢物中,即氨基酸、脂肪酸和醇类、烷烃、脂质、N 化合物、有机酸和多羟基酸、多元醇、糖、糖缀合物和苯丙烷类中,可以检测到单个细胞之间的显著池大小变化。这里证明了微采样和基于 GC-MS 的代谢物分析的组合为研究体内完全分化的植物细胞类型的细胞代谢提供了一种方法。