Workflow for fast lipid tissue screening using LESA-FT-ICR-MS
Workflow for fast lipid tissue screening using LESA-FT-ICR-MS
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DOI：
10.1039/c8ay02739k
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发表时间：
2019-05-14
影响因子：
3.1
通讯作者：
Fernandez-Lima, Francisco
中科院分区：
文献类型：
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作者：
Haler, Jean R. N.;Sisley, Emma K.;Fernandez-Lima, Francisco
生物底物的脂质筛选是生物标志物检测和鉴定的重要步骤。在这项工作中，描述了一种快速的工作流程，能够在环境压力下基于液体微结萃取与纳米电喷雾电离（nESI）串联的超高分辨率质谱，即液体萃取表面分析（LESA）耦合傅立叶变换离子回旋共振（串联）质谱（LESA- ft - icr -MS/MS）快速筛选生物组织中的脂质成分。脂质谱显示了小鼠脑（MB）和肝脏（ML）样品的薄组织切片，通过数据依赖采集（DDA）串联FT-ICR-MS/MS在阳性和阴性模式下进行分析。候选分配基于碎片模式，主要使用sim脂质软件，准确的质量主要使用LipidMaps数据库（平均亚ppm质量误差）。典型的单点表面分析（< 1 mm空间采样分辨率）持续不到15分钟，结果（唯一和多个）脂质鉴定为190 （MB）和590 (ML) m/z值。尽管生物复杂性，但这导致了38个不同脂类中不同脂类分子的独特鉴定（亚ppm质量误差），对应于10-30%的脂类m/z鉴定。
Lipid screening of biological substrates is an important step during biomarker detection and identification. In this work, a fast workflow is described capable of rapid screening for lipid components from biological tissues at ambient pressure based on liquid microjunction extraction in tandem with nano-electrospray ionization (nESI) with ultra-high resolution mass spectrometry, i.e., liquid extraction surface analysis (LESA) coupled to Fourier-transform ion cyclotron resonance (tandem) mass spectrometry (LESA-FT-ICR-MS/MS). Lipid profiles are presented for thin tissue sections of mouse brain (MB) and liver (ML) samples, analyzed in both positive and negative mode by data-dependent acquisition (DDA) tandem FT-ICR-MS/MS. Candidate assignments were based on fragmentation patterns using mostly SimLipid software and accurate mass using mostly the LipidMaps database (average sub-ppm mass error). A typical, single point surface analysis (< 1 mm spatial sampling resolution) lasted less than 15 minutes and resulted in the assignment of (unique and mulitple) lipid identifications of 190 (MB) and 590 (ML) m/z values. Despite the biological complexity, this led to unique identifications of distinct lipid molecules (sub-ppm mass error) from 38 different lipid classes, corresponding to 10-30% of the lipid m/z identifications.