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脂质组学数据分析工具 2.0:发掘脂质组学数据中隐藏的生物学意义

LipidOne 2.0: A Web Tool for Discovering Biological Meanings Hidden in Lipidomic Data.

机构信息

Biochemistry and Molecular Biology Group, Department of Chemistry, Biology and Biotechnology, University of Perugia, Via del Giochetto, Perugia, Italy.

出版信息

Curr Protoc. 2024 Sep;4(9):e70009. doi: 10.1002/cpz1.70009.

Abstract

LipidOne 2.0 (https://lipidone.eu) is a new web bioinformatic tool for the analysis of lipidomic data. It facilitates the exploration of the three structural levels of lipids: classes, molecular species, and lipid building blocks (acyl, alkyl, or alkenes chains). The tool's flexibility empowers users to seamlessly include or exclude experimental groups and lipid classes at any stage of the analysis. LipidOne 2.0 offers a range of mono- and multivariate statistical analyses, specifically tailored to each structural level. This includes a novel lipid biomarker identification function, integrating four diverse statistical parameters. LipidOne 2.0 incorporates Lipid Pathway analysis across all three structural levels of lipids. Users can identify lipid-involved reactions through case-control comparisons, generating lists of genes/enzymes and their activation states based on Z scores. Accessible without the need for registration, LipidOne 2.0 provides a user-friendly and efficient platform for exploring and analyzing lipidomic data. © 2024 The Author(s). Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Dataset preparation for LipidOne 2.0 Support Protocol: Lipid nomenclature from spectrometric experiments Basic Protocol 2: Uploading a dataset into LipidOne 2.0 Basic Protocol 3: Data mining of lipidomic dataset by LipidOne 2.0.

摘要

LipidOne 2.0(https://lipidone.eu)是一个新的用于分析脂质组学数据的网络生物信息学工具。它促进了对脂质的三个结构层次:类别、分子种类和脂质构建块(酰基、烷基或烯基链)的探索。该工具的灵活性使用户能够在分析的任何阶段无缝地包含或排除实验组和脂质类别。LipidOne 2.0 提供了一系列单变量和多变量统计分析,专门针对每个结构层次进行了定制。这包括一个新的脂质生物标志物识别功能,集成了四个不同的统计参数。LipidOne 2.0 在所有三个脂质结构层次上都整合了脂质通路分析。用户可以通过病例对照比较来识别涉及脂质的反应,根据 Z 分数生成基于基因/酶及其激活状态的列表。无需注册即可访问,LipidOne 2.0 为探索和分析脂质组学数据提供了一个用户友好和高效的平台。© 2024 作者。Wiley Periodicals LLC 出版的《当代协议》。基本方案 1:为 LipidOne 2.0 准备数据集支持方案:来自光谱实验的脂质命名基本方案 2:将数据集上传到 LipidOne 2.0 基本方案 3:通过 LipidOne 2.0 挖掘脂质组学数据集

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