LipidOne 2.0:发现脂质体数据中隐藏的生物学意义的网络工具

Husam B. R. Alabed, Dorotea Frongia Mancini, Sandra Buratta, Eleonora Calzoni, Danika Di Giacomo, Carla Emiliani, Sabata Martino, Lorena Urbanelli, Roberto Maria Pellegrino
{"title":"LipidOne 2.0:发现脂质体数据中隐藏的生物学意义的网络工具","authors":"Husam B. R. Alabed,&nbsp;Dorotea Frongia Mancini,&nbsp;Sandra Buratta,&nbsp;Eleonora Calzoni,&nbsp;Danika Di Giacomo,&nbsp;Carla Emiliani,&nbsp;Sabata Martino,&nbsp;Lorena Urbanelli,&nbsp;Roberto Maria Pellegrino","doi":"10.1002/cpz1.70009","DOIUrl":null,"url":null,"abstract":"<p>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 <i>Z</i> 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.</p><p><b>Basic Protocol 1</b>: Dataset preparation for LipidOne 2.0</p><p><b>Support Protocol</b>: Lipid nomenclature from spectrometric experiments</p><p><b>Basic Protocol 2</b>: Uploading a dataset into LipidOne 2.0</p><p><b>Basic Protocol 3</b>: Data mining of lipidomic dataset by LipidOne 2.0</p>","PeriodicalId":93970,"journal":{"name":"Current protocols","volume":"4 9","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cpz1.70009","citationCount":"0","resultStr":"{\"title\":\"LipidOne 2.0: A Web Tool for Discovering Biological Meanings Hidden in Lipidomic Data\",\"authors\":\"Husam B. R. Alabed,&nbsp;Dorotea Frongia Mancini,&nbsp;Sandra Buratta,&nbsp;Eleonora Calzoni,&nbsp;Danika Di Giacomo,&nbsp;Carla Emiliani,&nbsp;Sabata Martino,&nbsp;Lorena Urbanelli,&nbsp;Roberto Maria Pellegrino\",\"doi\":\"10.1002/cpz1.70009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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 <i>Z</i> 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.</p><p><b>Basic Protocol 1</b>: Dataset preparation for LipidOne 2.0</p><p><b>Support Protocol</b>: Lipid nomenclature from spectrometric experiments</p><p><b>Basic Protocol 2</b>: Uploading a dataset into LipidOne 2.0</p><p><b>Basic Protocol 3</b>: Data mining of lipidomic dataset by LipidOne 2.0</p>\",\"PeriodicalId\":93970,\"journal\":{\"name\":\"Current protocols\",\"volume\":\"4 9\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cpz1.70009\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current protocols\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/cpz1.70009\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current protocols","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cpz1.70009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

LipidOne 2.0 (https://lipidone.eu) 是一种用于分析脂质体数据的新型网络生物信息学工具。它有助于探索脂质的三个结构层次:类、分子物种和脂质构件(酰基、烷基或烯链)。该工具的灵活性使用户能够在分析的任何阶段无缝地加入或排除实验组和脂质类别。LipidOne 2.0 提供一系列单变量和多变量统计分析,专门针对每个结构层次。其中包括一种新颖的脂质生物标记识别功能,整合了四种不同的统计参数。LipidOne 2.0 结合了所有三个结构层次的脂质途径分析。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 分数生成基因/酶及其激活状态列表。LipidOne 2.0 无需注册即可访问,为探索和分析脂质体数据提供了一个用户友好的高效平台。© 2024 作者。基本协议 1:为 LipidOne 2.0 准备数据集支持协议:基本协议 2:将数据集上传到 LipidOne 2.0基本协议 3:通过 LipidOne 2.0 对脂质体数据集进行数据挖掘
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
4.00
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信