• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

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.

DOI:10.1002/cpz1.70009
PMID:39301800
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

相似文献

1
LipidOne 2.0: A Web Tool for Discovering Biological Meanings Hidden in Lipidomic Data.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
Curr Protoc. 2024 Sep;4(9):e70009. doi: 10.1002/cpz1.70009.
2
LipidOne: user-friendly lipidomic data analysis tool for a deeper interpretation in a systems biology scenario.LipidOne:一款用户友好型脂质组学数据分析工具,用于在系统生物学场景中进行更深入的解读。
Bioinformatics. 2022 Mar 4;38(6):1767-1769. doi: 10.1093/bioinformatics/btab867.
3
Accurate Analysis of Lipid Building Blocks Using the Tool LipidOne.使用LipidOne工具对脂质构建模块进行准确分析。
Methods Mol Biol. 2023;2625:323-336. doi: 10.1007/978-1-0716-2966-6_27.
4
LINT-Web: A Web-Based Lipidomic Data Mining Tool Using Intra-Omic Integrative Correlation Strategy.LINT-Web:一种基于网络的脂质组学数据挖掘工具,采用组学内综合相关策略。
Small Methods. 2021 Sep;5(9):e2100206. doi: 10.1002/smtd.202100206. Epub 2021 Jul 31.
5
LipidSig 2.0: integrating lipid characteristic insights into advanced lipidomics data analysis.脂质特征分析整合软件 2.0:将脂质特征分析见解融入到先进的脂质组学数据分析中。
Nucleic Acids Res. 2024 Jul 5;52(W1):W390-W397. doi: 10.1093/nar/gkae335.
6
LipidSig: a web-based tool for lipidomic data analysis.脂质组学分析工具 LipidSig 网站版
Nucleic Acids Res. 2021 Jul 2;49(W1):W336-W345. doi: 10.1093/nar/gkab419.
7
LORA, Lipid Over-Representation Analysis Based on Structural Information.LORA,基于结构信息的脂质过表达分析。
Anal Chem. 2023 Aug 29;95(34):12600-12604. doi: 10.1021/acs.analchem.3c02039. Epub 2023 Aug 16.
8
lipidr: A Software Tool for Data Mining and Analysis of Lipidomics Datasets.lipidr:一个用于脂质组学数据集的数据挖掘和分析的软件工具。
J Proteome Res. 2020 Jul 2;19(7):2890-2897. doi: 10.1021/acs.jproteome.0c00082. Epub 2020 Mar 23.
9
Lipostar, a Comprehensive Platform-Neutral Cheminformatics Tool for Lipidomics.Lipostar,一款综合性平台中立的脂质组学 cheminformatics 工具。
Anal Chem. 2017 Jun 6;89(11):6257-6264. doi: 10.1021/acs.analchem.7b01259. Epub 2017 May 12.
10
From big data to big insights: statistical and bioinformatic approaches for exploring the lipidome.从大数据到深入洞察:探索脂质组学的统计和生物信息学方法。
Anal Bioanal Chem. 2024 Apr;416(9):2189-2202. doi: 10.1007/s00216-023-04991-2. Epub 2023 Oct 25.

引用本文的文献

1
Multi-Omic Characterization of Epithelial-Mesenchymal Transition: Lipidomic and Metabolomic Profiles as Key Markers of TGF-β-Induced Transition in Huh7 Hepatocellular Carcinoma.上皮-间质转化的多组学特征:脂质组学和代谢组学图谱作为转化生长因子-β诱导的Huh7肝癌细胞系转化的关键标志物
Cells. 2025 Aug 10;14(16):1233. doi: 10.3390/cells14161233.
2
CREBBP inactivation sensitizes B cell acute lymphoblastic leukemia to ferroptotic cell death upon BCL2 inhibition.CREBBP失活使B细胞急性淋巴细胞白血病在BCL2抑制后对铁死亡性细胞死亡敏感。
Nat Commun. 2025 May 20;16(1):4274. doi: 10.1038/s41467-025-59531-6.
3
Pyruvate dehydrogenase kinase 1 controls triacylglycerol hydrolysis in cardiomyocytes.
丙酮酸脱氢酶激酶1调控心肌细胞中的三酰甘油水解。
J Biol Chem. 2025 Apr;301(4):108398. doi: 10.1016/j.jbc.2025.108398. Epub 2025 Mar 10.
4
Gangliosides and Cholesterol: Dual Regulators of Neuronal Membrane Framework in Autism Spectrum Disorder.神经节苷脂与胆固醇:自闭症谱系障碍中神经元膜框架的双重调节因子
Int J Mol Sci. 2025 Feb 4;26(3):1322. doi: 10.3390/ijms26031322.
5
Pyruvate dehydrogenase kinase 1 controls triacylglycerol hydrolysis in cardiomyocytes.丙酮酸脱氢酶激酶1调控心肌细胞中的三酰甘油水解。
bioRxiv. 2025 Feb 24:2024.10.14.618123. doi: 10.1101/2024.10.14.618123.