Quantifying yeast lipidomics by high-performance thin-layer chromatography (HPTLC) and comparison to mass spectrometry-based shotgun lipidomics.

IF 4.1 3区 生物学 Q2 CELL BIOLOGY Microbial Cell Pub Date : 2024-02-21 eCollection Date: 2024-01-01 DOI:10.15698/mic2024.02.815
Thorsten Meyer, Oskar Knittelfelder, Martin Smolnig, Patrick Rockenfeller
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Abstract

Lipidomic analysis in diverse biological settings has become a frequent tool to increase our understanding of the processes of life. Cellular lipids play important roles not only as being the main components of cellular membranes, but also in the regulation of cell homeostasis as lipid signaling molecules. Yeast has been harnessed for biomedical research based on its good conservation of genetics and fundamental cell organisation principles and molecular pathways. Further application in so-called humanised yeast models have been developed which take advantage of yeast as providing the basics of a living cell with full control over heterologous expression. Here we present evidence that high-performance thin-layer chromatography (HPTLC) represents an effective alternative to replace cost intensive mass spectrometry-based lipidomic analyses. We provide statistical comparison of identical samples by both methods, which support the use of HPTLC for quantitative analysis of the main yeast lipid classes.

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用高效薄层色谱法 (HPTLC) 定量酵母脂质组学并与基于质谱的枪式脂质组学进行比较。
在各种生物环境中进行脂质组学分析已成为一种常用工具,可加深我们对生命过程的了解。细胞脂质不仅是细胞膜的主要成分,而且作为脂质信号分子在调节细胞稳态方面发挥着重要作用。酵母具有良好的遗传学和基本细胞组织原理和分子途径,因此已被用于生物医学研究。利用酵母提供的活细胞基础知识和对异源表达的完全控制,人们开发了所谓的人源化酵母模型,并将其进一步应用于生物医学研究。在此,我们提出证据表明,高效薄层色谱法(HPTLC)是取代基于质谱的脂质体分析的有效替代方法。我们用两种方法对相同样品进行了统计比较,结果支持使用 HPTLC 对主要的酵母脂质类别进行定量分析。
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来源期刊
Microbial Cell
Microbial Cell Multiple-
CiteScore
6.40
自引率
0.00%
发文量
32
审稿时长
12 weeks
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