Resolving brain regions using nanostructure initiator mass spectrometry imaging of phospholipids.

IF 1.4
Do Yup Lee, Virginia Platt, Ben Bowen, Katherine Louie, Christie A Canaria, Cynthia T McMurray, Trent Northen
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引用次数: 35

Abstract

In a variety of neurological diseases, pathological progression is cell type and region specific. Previous reports suggest that mass spectrometry imaging has the potential to differentiate between brain regions enriched in specific cell types. Here, we utilized a matrix-free surface mass spectrometry approach, nanostructure initiator mass spectrometry (NIMS), to show that spatial distributions of multiple lipids can be used as a 'fingerprint' to discriminate between neuronal- and glial- enriched brain regions. In addition, glial cells from different brain regions can be distinguished based on unique lipid profiles. NIMS images were generated from sagittal brain sections and were matched with immunostained serial sections to define glial cell enriched areas. Tandem mass spectrometry (LC-MS/MS QTOF) on whole brain extracts was used to identify 18 phospholipids. Multivariate statistical analysis (Nonnegative Matrix Factorization) enhanced differentiation of brain regions and cell populations compared to single ion imaging methods. This analysis resolved brain regions that are difficult to distinguish using conventional stains but are known to have distinct physiological functions. This method accurately distinguished the frontal (or somatomotor) and dorsal (or retrosplenial) regions of the cortex from each other and from the pons region.

利用纳米结构引发质谱成像的磷脂来分辨大脑区域。
在多种神经系统疾病中,病理进展是细胞类型和区域特异性的。先前的报告表明,质谱成像有可能区分富含特定细胞类型的大脑区域。在这里,我们使用了一种无基质表面质谱方法,纳米结构引发质谱(NIMS),来证明多种脂质的空间分布可以作为“指纹”来区分神经元和胶质富集的大脑区域。此外,可以根据独特的脂质谱来区分来自不同脑区域的胶质细胞。从矢状脑切片生成NIMS图像,并与免疫染色序列切片匹配以确定胶质细胞富集区域。采用串联质谱法(LC-MS/MS QTOF)对全脑提取物进行了18种磷脂的鉴定。与单离子成像方法相比,多元统计分析(非负矩阵分解)增强了脑区域和细胞群的分化。这一分析解决了传统染色难以区分但已知具有独特生理功能的大脑区域。这种方法准确地区分了大脑皮层的额叶(或体运动)和背叶(或脾后)区域以及脑桥区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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