质谱为基础的脂质组学,脂质生物能量学,和网络工具脂质分析和定量在人类细胞。

Liang Cui, Meisam Yousefi, Xin Yap, Clara W T Koh, Kwan Sing Leona Tay, Yaw Shin Ooi, Kuan Rong Chan
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引用次数: 0

摘要

脂质在代谢、信号传导、跨膜运输、调节体温和炎症等方面发挥着多种作用。一些病毒已经进化到利用人类细胞中的脂质来促进病毒进入、融合、复制、组装,并通过脂肪酸β氧化产生能量。因此,研究病毒-脂质相互作用为了解病毒生命周期中的生物学过程提供了一个机会,这可以促进抗病毒药物的开发。由于脂质的多样性和复杂性,评估感染宿主细胞的脂质利用可能具有挑战性。然而,质谱分析、生物能量谱分析和生物信息学的发展大大提高了我们对脂质组学研究的认识。在此,我们详细描述了脂质提取、质谱分析和脂肪酸氧化对细胞生物能量学的评估方法,以及在宿主细胞中进行详细脂质分析和利用的生物信息学方法。这些方法被用于研究TMEM41B-和vmp1缺陷细胞的脂质改变,我们之前在这些细胞中发现了脂质组的全局失调。此外,我们开发了一个web应用程序来绘制质谱数据的集群图或热图,这是开源的,可以托管在本地或https://kuanrongchan-lipid-metabolite-analysis-app-k4im47.streamlit.app/。该协议提供了一个有效的一步一步的方法来评估脂质组成和使用在宿主细胞。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Mass Spectrometry-based Lipidomics, Lipid Bioenergetics, and Web Tool for Lipid Profiling and Quantification in Human Cells.

Mass Spectrometry-based Lipidomics, Lipid Bioenergetics, and Web Tool for Lipid Profiling and Quantification in Human Cells.

Mass Spectrometry-based Lipidomics, Lipid Bioenergetics, and Web Tool for Lipid Profiling and Quantification in Human Cells.

Mass Spectrometry-based Lipidomics, Lipid Bioenergetics, and Web Tool for Lipid Profiling and Quantification in Human Cells.

Lipids can play diverse roles in metabolism, signaling, transport across membranes, regulating body temperature, and inflammation. Some viruses have evolved to exploit lipids in human cells to promote viral entry, fusion, replication, assembly, and energy production through fatty acid beta-oxidation. Hence, studying the virus-lipid interactions provides an opportunity to understand the biological processes involved in the viral life cycle, which can facilitate the development of antivirals. Due to the diversity and complexity of lipids, the assessment of lipid utilization in infected host cells can be challenging. However, the development of mass spectrometry, bioenergetics profiling, and bioinformatics has significantly advanced our knowledge on the study of lipidomics. Herein, we describe the detailed methods for lipid extraction, mass spectrometry, and assessment of fatty acid oxidation on cellular bioenergetics, as well as the bioinformatics approaches for detailed lipid analysis and utilization in host cells. These methods were employed for the investigation of lipid alterations in TMEM41B- and VMP1-deficient cells, where we previously found global dysregulations of the lipidome in these cells. Furthermore, we developed a web app to plot clustermaps or heatmaps for mass spectrometry data that is open source and can be hosted locally or at https://kuanrongchan-lipid-metabolite-analysis-app-k4im47.streamlit.app/. This protocol provides an efficient step-by-step methodology to assess lipid composition and usage in host cells.

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