A protocol for investigating lipidomic dysregulation and discovering lipid biomarkers from human serums

Lipids play important roles in various human diseases. Disease-associated lipid dysregulation and biomarkers could provide molecular clues for diagnosis, pathogenesis, and therapy. This protocol provides a step-by-step workflow to investigate lipid dysregulation and discover biomarkers in human seru...

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Detalles Bibliográficos
Autores principales: Chen, Moran, Hao, Yanhong, Chen, Suming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8814823/
https://www.ncbi.nlm.nih.gov/pubmed/35141563
http://dx.doi.org/10.1016/j.xpro.2022.101125
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author Chen, Moran
Hao, Yanhong
Chen, Suming
author_facet Chen, Moran
Hao, Yanhong
Chen, Suming
author_sort Chen, Moran
collection PubMed
description Lipids play important roles in various human diseases. Disease-associated lipid dysregulation and biomarkers could provide molecular clues for diagnosis, pathogenesis, and therapy. This protocol provides a step-by-step workflow to investigate lipid dysregulation and discover biomarkers in human serum samples by liquid chromatography-mass spectrometry (LC-MS)-based lipidomics and machine learning analysis. The workflow includes project design, serum collection, sample preparation, data acquisition, data processing, and machine learning analysis. For complete details on the use and execution of this profile, please refer to Hao et al. (2021).
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spelling pubmed-88148232022-02-08 A protocol for investigating lipidomic dysregulation and discovering lipid biomarkers from human serums Chen, Moran Hao, Yanhong Chen, Suming STAR Protoc Protocol Lipids play important roles in various human diseases. Disease-associated lipid dysregulation and biomarkers could provide molecular clues for diagnosis, pathogenesis, and therapy. This protocol provides a step-by-step workflow to investigate lipid dysregulation and discover biomarkers in human serum samples by liquid chromatography-mass spectrometry (LC-MS)-based lipidomics and machine learning analysis. The workflow includes project design, serum collection, sample preparation, data acquisition, data processing, and machine learning analysis. For complete details on the use and execution of this profile, please refer to Hao et al. (2021). Elsevier 2022-02-02 /pmc/articles/PMC8814823/ /pubmed/35141563 http://dx.doi.org/10.1016/j.xpro.2022.101125 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
Chen, Moran
Hao, Yanhong
Chen, Suming
A protocol for investigating lipidomic dysregulation and discovering lipid biomarkers from human serums
title A protocol for investigating lipidomic dysregulation and discovering lipid biomarkers from human serums
title_full A protocol for investigating lipidomic dysregulation and discovering lipid biomarkers from human serums
title_fullStr A protocol for investigating lipidomic dysregulation and discovering lipid biomarkers from human serums
title_full_unstemmed A protocol for investigating lipidomic dysregulation and discovering lipid biomarkers from human serums
title_short A protocol for investigating lipidomic dysregulation and discovering lipid biomarkers from human serums
title_sort protocol for investigating lipidomic dysregulation and discovering lipid biomarkers from human serums
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8814823/
https://www.ncbi.nlm.nih.gov/pubmed/35141563
http://dx.doi.org/10.1016/j.xpro.2022.101125
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