Gas chromatography–Mass spectrometry-based 13 C-Labeling studies in plant metabolomics

13Citations
Citations of this article
19Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Stable-isotope labeling analysis has been used to discover new metabolic pathways and their key regulatory points in a wide range of organisms. Given the complexity of the plant metabolic network, this analysis provides information complementary to that obtained from metabolite profiling that can be used to understand how plants cope with adverse conditions, and how metabolism varies between different cells, tissues, and organs. Here we describe the experimental procedures from sample harvesting and extraction to mass spectral analysis and interpretation that allow the researcher to perform 13 C-labeling experiments. A wide range of plant material, from single cells to whole plants, can be used to investigate the metabolic fate of the 13 C from a predefined tracer. Thus, a key point of this analysis is to choose the correct biological system, the substrate and the condition to be investigated; all of which implicitly relies on the biological question to be investigated. Rapid sample quenching and a careful data analysis are also critical points in such studies. By contrast to other metabolomic approaches, stable-isotope labeling can provide information concerning the fluxes through metabolic networks, which is essential for understanding and manipulating metabolic phenotypes and therefore of pivotal importance for both systems biology and plant metabolic engineering.

Cite

CITATION STYLE

APA

Lima, V. F., de Souza, L. P., Williams, T. C. R., Fernie, A. R., & Daloso, D. M. (2018). Gas chromatography–Mass spectrometry-based 13 C-Labeling studies in plant metabolomics. In Methods in Molecular Biology (Vol. 1778, pp. 47–58). Humana Press Inc. https://doi.org/10.1007/978-1-4939-7819-9_4

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free