Department of Biology, University of Florida, Gainesville, FL, USA.
University of Florida Genetics Institute (UFGI), Gainesville, FL, USA.
Methods Mol Biol. 2021;2200:413-424. doi: 10.1007/978-1-0716-0880-7_20.
Although untargeted metabolomic approaches hold great promise for global identification of low molecular weight metabolites in biological samples, deep coverage and confident identification of the metabolites remains challenging due to the great diversity and number of chemical structures, especially in plants. Additionally, there is a need to employ a cell-specific research approach to many physiological and biological responses to specific environmental stimuli. Here, we report an untargeted metabolomic method using Arabidopsis thaliana guard cell samples during response to systemic signals of pathogen attack. We employed a new Acquire X MS data acquisition technology, which uses an iterative fragmentation process to increase level-2 identification of unknown metabolites. We were able to increase the number of identified metabolites and thus the metabolome coverage in Arabidopsis guard cells. This method can be applied to studying metabolomes of other cell types and tissues.
虽然非靶向代谢组学方法在全球范围内识别生物样本中的低分子量代谢物方面具有巨大的潜力,但由于化学结构的多样性和数量众多,尤其是在植物中,对代谢物进行深度覆盖和准确识别仍然具有挑战性。此外,许多生理和生物反应都需要采用特定于细胞的研究方法来应对特定环境刺激。在这里,我们报告了一种在拟南芥保卫细胞对病原体攻击的系统信号反应期间使用的非靶向代谢组学方法。我们采用了一种新的 Acquire X MS 数据采集技术,该技术使用迭代碎裂过程来提高未知代谢物的二级鉴定。我们能够增加鉴定出的代谢物的数量,从而提高拟南芥保卫细胞中的代谢组覆盖范围。该方法可应用于研究其他细胞类型和组织的代谢组。