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在MS-DIAL 5多式联络式质谱数据挖掘中,揭示了脂层层的复杂性

Hiroaki Takeda^1,2, Yuki Matsuzawa¹, Manami Takeuchi¹

¹Department of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei-shi, Tokyo, 184-8588, Japan.

Nature communications

|November 28, 2024

概括

通过使用电子激活解离 (EAD) 双重质谱 (MS) 和MS成像 (MSI) 实现详细的结构分析和分子定位,MS-DIAL 5增强了脂管学. 这种工具准确地识别了脂质结构及其位置,推动了脂质生物学研究.

科学领域:

利皮多米克 (Lipidomics) 是一种消化剂.
代谢学代谢学代谢学
质谱法 (MS) 是一种质谱法.

背景情况:

现有的脂管学和代谢学信息学工具在处理多模式质谱数据方面存在局限性.
需要软件来支持结构注释,以脂管学标准倡议为指导.

研究的目的:

介绍MS-DIAL 5,一种使用电子激活解离 (EAD) 进行深入脂质体结构阐明的软件.
通过MS成像 (MSI) 数据来确定分子定位.
使用特定物种/特定组织的脂质群数据库,预测碰撞横截面值.

主要方法:

利用优化的EAD设置 (14 eV动能) 进行脂质结构划分.
应用MS-DIAL 5来分析真实的脂质标准和MS成像数据.
研究了特定于眼睛的类胆和补充了用于酶识别的HeLa细胞.

主要成果:

在96.4%的真实标准中,MS-DIAL 5正确地划分了脂质结构.
对于1μM以上标准的78.0%实现了sn,OH和C=C位置的准确分配.
鉴定了甘3-酸盐乙转移酶作为在sn1位置进行n-3 VLC-PUFA整合的候选酶.

结论:

通过优化MS数据采集,MS-DIAL 5显著改善了脂质结构和局部化理解.
工作流程促进了对脂质生物学的洞察,特别是关于非常长链多不和脂肪酸 (VLC-PUFA) 的洞察.
证实了甘3-酸盐转移酶在特定的脂修饰中的作用.

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