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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
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). |
format | Online Article Text |
id | pubmed-8814823 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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