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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bio-Protocol
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10450793/ https://www.ncbi.nlm.nih.gov/pubmed/37638305 http://dx.doi.org/10.21769/BioProtoc.4742 |
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author | Cui, Liang Yousefi, Meisam Yap, Xin Koh, Clara W.T. Tay, Kwan Sing Leona Ooi, Yaw Shin Chan, Kuan Rong |
author_facet | Cui, Liang Yousefi, Meisam Yap, Xin Koh, Clara W.T. Tay, Kwan Sing Leona Ooi, Yaw Shin Chan, Kuan Rong |
author_sort | Cui, Liang |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10450793 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Bio-Protocol |
record_format | MEDLINE/PubMed |
spelling | pubmed-104507932023-08-26 Mass Spectrometry-based Lipidomics, Lipid Bioenergetics, and Web Tool for Lipid Profiling and Quantification in Human Cells Cui, Liang Yousefi, Meisam Yap, Xin Koh, Clara W.T. Tay, Kwan Sing Leona Ooi, Yaw Shin Chan, Kuan Rong Bio Protoc Methods Article 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. Bio-Protocol 2023-08-20 /pmc/articles/PMC10450793/ /pubmed/37638305 http://dx.doi.org/10.21769/BioProtoc.4742 Text en ©Copyright : © 2023 The Authors; This is an open access article under the CC BY license https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Methods Article Cui, Liang Yousefi, Meisam Yap, Xin Koh, Clara W.T. Tay, Kwan Sing Leona Ooi, Yaw Shin Chan, Kuan Rong Mass Spectrometry-based Lipidomics, Lipid Bioenergetics, and Web Tool for Lipid Profiling and Quantification in Human Cells |
title | Mass Spectrometry-based Lipidomics, Lipid Bioenergetics, and Web Tool for Lipid Profiling and Quantification in Human Cells |
title_full | Mass Spectrometry-based Lipidomics, Lipid Bioenergetics, and Web Tool for Lipid Profiling and Quantification in Human Cells |
title_fullStr | Mass Spectrometry-based Lipidomics, Lipid Bioenergetics, and Web Tool for Lipid Profiling and Quantification in Human Cells |
title_full_unstemmed | Mass Spectrometry-based Lipidomics, Lipid Bioenergetics, and Web Tool for Lipid Profiling and Quantification in Human Cells |
title_short | Mass Spectrometry-based Lipidomics, Lipid Bioenergetics, and Web Tool for Lipid Profiling and Quantification in Human Cells |
title_sort | mass spectrometry-based lipidomics, lipid bioenergetics, and web tool for lipid profiling and quantification in human cells |
topic | Methods Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10450793/ https://www.ncbi.nlm.nih.gov/pubmed/37638305 http://dx.doi.org/10.21769/BioProtoc.4742 |
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