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激光捕获显微切割与柱上提取 LC-MS(n) 结合,实现了荧光标记果蝇神经元的脂质组学研究。

Laser capture microdissection coupled with on-column extraction LC-MS(n) enables lipidomics of fluorescently labeled Drosophila neurons.

机构信息

National Centre for Biological Sciences, Tata Institute of Fundamental Research , Bangalore 560065, India.

出版信息

Anal Chem. 2014 Jun 3;86(11):5345-52. doi: 10.1021/ac500276r. Epub 2014 May 22.

Abstract

We have used laser capture microdissection (LCM) and fluorescence microscopy to isolate genetically labeled neurons from the Drosophila melanogaster brain. From native thin sections, regions of interest could be analyzed with a spatial resolution better than 50 μm. To exploit the specificity of LCM for lipidomics, catapulted tissue patches were directly collected on a reversed phase column and analyzed using an on-column extraction (OCE) that was directly coupled with liquid chromatography-multistage mass spectrometry (LC-MS(n)). With this approach, more than 50 membrane lipids belonging to 9 classes were quantified in tissue regions equivalent to a sample amount of 50 cells. Using this method, the limit of quantitation and the extraction efficiency could be estimated enabling a reliable evaluation of acquired lipid profiles. The lipid profiles of cell body- and synapse-enriched regions of the Drosophila brain were determined and found to be distinct. We argue that this workflow represents a tremendous improvement for tissue lipidomics by integrating genetics, fluorescence microscopy, LCM and LC-MS(n).

摘要

我们使用激光捕获显微切割(LCM)和荧光显微镜从黑腹果蝇大脑中分离出遗传标记的神经元。从天然的薄切片中,可以用优于 50μm 的空间分辨率分析感兴趣的区域。为了利用 LCM 在脂质组学方面的特异性,弹射组织片被直接收集在反相柱上,并使用与液相色谱-多级质谱联用(LC-MS(n))直接耦合的柱上提取(OCE)进行分析。通过这种方法,可以在相当于 50 个细胞样本量的组织区域中定量检测到属于 9 类的 50 多种膜脂。使用该方法,可以估计定量下限和提取效率,从而能够可靠地评估获得的脂质图谱。确定了果蝇大脑中细胞体和突触富集区的脂质图谱,发现它们是不同的。我们认为,通过整合遗传学、荧光显微镜、LCM 和 LC-MS(n),该工作流程代表了组织脂质组学的巨大改进。

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