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    Metabolic profiling of Arabidopsis thaliana epidermal cells

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    Author
    Ebert, B; Zoeller, D; Erban, A; Fehrle, I; Hartmann, J; Niehl, A; Kopka, J; Fisahn, J
    Date
    2010-03-01
    Source Title
    Journal of Experimental Botany
    Publisher
    OXFORD UNIV PRESS
    University of Melbourne Author/s
    Ebert, Berit
    Affiliation
    School of BioSciences
    Metadata
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    Document Type
    Journal Article
    Citations
    Ebert, B., Zoeller, D., Erban, A., Fehrle, I., Hartmann, J., Niehl, A., Kopka, J. & Fisahn, J. (2010). Metabolic profiling of Arabidopsis thaliana epidermal cells. JOURNAL OF EXPERIMENTAL BOTANY, 61 (5), pp.1321-1335. https://doi.org/10.1093/jxb/erq002.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/255134
    DOI
    10.1093/jxb/erq002
    Abstract
    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.

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