University Medical Center of Johannes Gutenberg University Mainz, Institute of Physiological Chemistry, 55128 Mainz, Germany; and.
Maastricht MultiModal Molecular Imaging Institute (M4I), Maastricht University, 6229 ER Maastricht, The Netherlands.
J Lipid Res. 2018 Feb;59(2):283-297. doi: 10.1194/jlr.M080093. Epub 2017 Dec 5.
In this study, we report the development of a dual extraction protocol for RNA and lipids, including phospholipids, endocannabinoids, and arachidonic acid, at high spatial resolution, e.g., brain punches obtained from whole frozen brains corresponding to four brain subregions: dorsal hippocampus, ventral hippocampus, basolateral amygdala, and hypothalamus. This extraction method combined with LC/multiple reaction monitoring for lipid quantifi-cation and quantitative PCR for RNA investigation allows lipidomic and transcriptomic profiling from submilligram amounts of tissue, thus benefiting the time and animal costs for analysis and the data reliability due to prevention of biological variability between animal batches and/or tissue heterogeneity, as compared with profiling in distinct animal batches. Moreover, the method allows a higher extraction efficiency and integrity preservation for RNA, while allowing concurrently quantitative analysis of low and high abundant lipids. The method was applied for brain punches obtained 1 h after kainic acid-induced epileptic seizures in mice (n = 10) compared with controls (n = 10), and enabled the provision of valuable new insights into the subregional lipid and RNA changes with epilepsy, highlighting its potential as a new viable tool in quantitative neurobiology.
在这项研究中,我们报告了一种用于 RNA 和脂质(包括磷脂、内源性大麻素和花生四烯酸)的双重提取方案,该方案具有高空间分辨率,例如,从对应于四个脑亚区(背侧海马体、腹侧海马体、基底外侧杏仁核和下丘脑)的整个冷冻脑获得的脑穿刺。这种提取方法与 LC/多重反应监测进行脂质定量和定量 PCR 进行 RNA 研究相结合,允许从亚毫克量的组织中进行脂质组学和转录组学分析,从而有利于分析的时间和动物成本,并由于预防了动物批次之间和/或组织异质性的生物学变异性,提高了数据可靠性,与在不同动物批次中进行分析相比。此外,该方法允许 RNA 具有更高的提取效率和完整性保持,同时允许对低丰度和高丰度脂质进行同时定量分析。该方法应用于在与对照组(n=10)相比,在由海人酸诱导的癫痫发作后 1 小时从小鼠中获得的脑穿刺中(n=10),并能够提供有关癫痫症的亚区域脂质和 RNA 变化的有价值的新见解,突出了其作为定量神经生物学的新可行工具的潜力。