The Hitchhiker’s Guide to Untargeted Lipidomics Analysis: Practical Guidelines
Lipidomics is a newly emerged discipline involving the identification and quantification of thousands of lipids. As a part of the omics field, lipidomics has shown rapid growth both in the number of studies and in the size of lipidome datasets, thus, requiring specific and efficient data analysis ap...
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MDPI AG
2021
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oai:doaj.org-article:1a1eb8bce0e343aaa958b17fc2032aa12021-11-25T18:20:22ZThe Hitchhiker’s Guide to Untargeted Lipidomics Analysis: Practical Guidelines10.3390/metabo111107132218-1989https://doaj.org/article/1a1eb8bce0e343aaa958b17fc2032aa12021-10-01T00:00:00Zhttps://www.mdpi.com/2218-1989/11/11/713https://doaj.org/toc/2218-1989Lipidomics is a newly emerged discipline involving the identification and quantification of thousands of lipids. As a part of the omics field, lipidomics has shown rapid growth both in the number of studies and in the size of lipidome datasets, thus, requiring specific and efficient data analysis approaches. This paper aims to provide guidelines for analyzing and interpreting lipidome data obtained using untargeted methods that rely on liquid chromatography coupled with mass spectrometry (LC-MS) to detect and measure the intensities of lipid compounds. We present a state-of-the-art untargeted LC-MS workflow for lipidomics, from study design to annotation of lipid features, focusing on practical, rather than theoretical, approaches for data analysis, and we outline possible applications of untargeted lipidomics for biological studies. We provide a detailed R notebook designed specifically for untargeted lipidome LC-MS data analysis, which is based on <i>xcms</i> software.Dmitrii SmirnovPavel MazinMaria OsetrovaElena StekolshchikovaEkaterina KhrameevaMDPI AGarticlelipidomeLC-MSbioinformaticsMicrobiologyQR1-502ENMetabolites, Vol 11, Iss 713, p 713 (2021) |
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lipidome LC-MS bioinformatics Microbiology QR1-502 |
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lipidome LC-MS bioinformatics Microbiology QR1-502 Dmitrii Smirnov Pavel Mazin Maria Osetrova Elena Stekolshchikova Ekaterina Khrameeva The Hitchhiker’s Guide to Untargeted Lipidomics Analysis: Practical Guidelines |
description |
Lipidomics is a newly emerged discipline involving the identification and quantification of thousands of lipids. As a part of the omics field, lipidomics has shown rapid growth both in the number of studies and in the size of lipidome datasets, thus, requiring specific and efficient data analysis approaches. This paper aims to provide guidelines for analyzing and interpreting lipidome data obtained using untargeted methods that rely on liquid chromatography coupled with mass spectrometry (LC-MS) to detect and measure the intensities of lipid compounds. We present a state-of-the-art untargeted LC-MS workflow for lipidomics, from study design to annotation of lipid features, focusing on practical, rather than theoretical, approaches for data analysis, and we outline possible applications of untargeted lipidomics for biological studies. We provide a detailed R notebook designed specifically for untargeted lipidome LC-MS data analysis, which is based on <i>xcms</i> software. |
format |
article |
author |
Dmitrii Smirnov Pavel Mazin Maria Osetrova Elena Stekolshchikova Ekaterina Khrameeva |
author_facet |
Dmitrii Smirnov Pavel Mazin Maria Osetrova Elena Stekolshchikova Ekaterina Khrameeva |
author_sort |
Dmitrii Smirnov |
title |
The Hitchhiker’s Guide to Untargeted Lipidomics Analysis: Practical Guidelines |
title_short |
The Hitchhiker’s Guide to Untargeted Lipidomics Analysis: Practical Guidelines |
title_full |
The Hitchhiker’s Guide to Untargeted Lipidomics Analysis: Practical Guidelines |
title_fullStr |
The Hitchhiker’s Guide to Untargeted Lipidomics Analysis: Practical Guidelines |
title_full_unstemmed |
The Hitchhiker’s Guide to Untargeted Lipidomics Analysis: Practical Guidelines |
title_sort |
hitchhiker’s guide to untargeted lipidomics analysis: practical guidelines |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/1a1eb8bce0e343aaa958b17fc2032aa1 |
work_keys_str_mv |
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