哺乳动物脂质组复杂性的实验评估使用多模式21TFTICR质谱成像
Gregory W Vandergrift1, Kevin J Zemaitis1, Dušan Veličković1
1Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
Analytical chemistry
|July 10, 2023
概括
这项研究比较了母体辅助激光脱电离 (MALDI) 和纳米喷雾脱电喷电离 (纳米-DESI) 质谱成像用于哺乳动物脂管学. 这两种方法都揭示了复杂的脂质体,MALDI提供了更广泛的覆盖范围和纳米-DESI优越的质量精度.
科学领域:
- 分析化学 分析化学
- 生物化学 生物化学
- 质谱仪成像成像 质谱仪成像
背景情况:
- 脂管学对于理解细胞功能和疾病至关重要.
- 质谱成像 (MSI) 提供了对脂质分布的空间洞察.
- 对比不同的MSI电离技术对于全面的脂质群分析至关重要.
研究的目的:
- 评估用于哺乳动物脂质体质谱成像的矩阵辅助激光消化离子化 (MALDI) 和纳米喷雾消化电喷射离子化 (纳米-DESI) 的互补性和数据复杂性.
- 为纳米-DESI-MSI和MALDI-MSI中预期的脂质组复杂性提供一个功能指南.
- 评估超高质量分辨率对解决脂质识别模糊性的影响.
主要方法:
- 使用了21 T里叶变换离子循环子共振质谱法 (FTICR-MS) 与吸收模式FT处理.
- 在MSI中采用了MALDI和纳米DESI电离技术.
- 在像素内分析质量分裂,以评估脂质组复杂性并识别生物与人工信号.
主要成果:
- MALDI提供了更大的分子覆盖和动态范围,而纳米-DESI提供了更好的质量误差 (所有注释<1ppm误差).
- 鉴定了1676种脂质,突出了两种模式之间的可比性脂质组复杂性.
- 观察到的质量分解为2.4mDa (例如,添加物) 和8.9mDa (例如,双键模糊性),其中一些不论离子化方法如何,都会持续存在.
- 证明了超高质量分辨能力的必要性,以解决在m/z>1000的模糊性.
结论:
- MALDI-MSI和纳米-DESI-MSI是用于全面的哺乳动物脂质组分析的补充技术.
- 具有超高质量分辨能力的FTICR-MS对于准确的脂质识别和分辨异干扰至关重要.
- 这项研究为研究人员在脂管学中使用MSI提供了宝贵的资源.
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