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Development and validation of a robust automated analysis of plasma phospholipid fatty acids for metabolic phenotyping of large epidemiological studies
A fully automated, high-throughput method was developed to profile the fatty acids of phospholipids from human plasma samples for application to a large epidemiological sample set (n > 25,000). We report here on the data obtained for the quality-control materials used with the first 860 batches,...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3706814/ https://www.ncbi.nlm.nih.gov/pubmed/23618465 http://dx.doi.org/10.1186/gm443 |
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author | Wang, Laura Yun Summerhill, Keith Rodriguez-Canas, Carmen Mather, Ian Patel, Pinal Eiden, Michael Young, Stephen Forouhi, Nita G Koulman, Albert |
author_facet | Wang, Laura Yun Summerhill, Keith Rodriguez-Canas, Carmen Mather, Ian Patel, Pinal Eiden, Michael Young, Stephen Forouhi, Nita G Koulman, Albert |
author_sort | Wang, Laura Yun |
collection | PubMed |
description | A fully automated, high-throughput method was developed to profile the fatty acids of phospholipids from human plasma samples for application to a large epidemiological sample set (n > 25,000). We report here on the data obtained for the quality-control materials used with the first 860 batches, and the validation process used. The method consists of two robotic systems combined with gas chromatography, performing lipid extraction, phospholipid isolation, hydrolysis and derivatization to fatty-acid methyl esters, and on-line analysis. This is the first report showing that fatty-acid profiling is an achievable strategy for metabolic phenotyping in very large epidemiological and genetic studies. |
format | Online Article Text |
id | pubmed-3706814 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-37068142013-07-15 Development and validation of a robust automated analysis of plasma phospholipid fatty acids for metabolic phenotyping of large epidemiological studies Wang, Laura Yun Summerhill, Keith Rodriguez-Canas, Carmen Mather, Ian Patel, Pinal Eiden, Michael Young, Stephen Forouhi, Nita G Koulman, Albert Genome Med Method A fully automated, high-throughput method was developed to profile the fatty acids of phospholipids from human plasma samples for application to a large epidemiological sample set (n > 25,000). We report here on the data obtained for the quality-control materials used with the first 860 batches, and the validation process used. The method consists of two robotic systems combined with gas chromatography, performing lipid extraction, phospholipid isolation, hydrolysis and derivatization to fatty-acid methyl esters, and on-line analysis. This is the first report showing that fatty-acid profiling is an achievable strategy for metabolic phenotyping in very large epidemiological and genetic studies. BioMed Central 2013-04-25 /pmc/articles/PMC3706814/ /pubmed/23618465 http://dx.doi.org/10.1186/gm443 Text en Copyright © 2013 Yun Wang et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Method Wang, Laura Yun Summerhill, Keith Rodriguez-Canas, Carmen Mather, Ian Patel, Pinal Eiden, Michael Young, Stephen Forouhi, Nita G Koulman, Albert Development and validation of a robust automated analysis of plasma phospholipid fatty acids for metabolic phenotyping of large epidemiological studies |
title | Development and validation of a robust automated analysis of plasma phospholipid fatty acids for metabolic phenotyping of large epidemiological studies |
title_full | Development and validation of a robust automated analysis of plasma phospholipid fatty acids for metabolic phenotyping of large epidemiological studies |
title_fullStr | Development and validation of a robust automated analysis of plasma phospholipid fatty acids for metabolic phenotyping of large epidemiological studies |
title_full_unstemmed | Development and validation of a robust automated analysis of plasma phospholipid fatty acids for metabolic phenotyping of large epidemiological studies |
title_short | Development and validation of a robust automated analysis of plasma phospholipid fatty acids for metabolic phenotyping of large epidemiological studies |
title_sort | development and validation of a robust automated analysis of plasma phospholipid fatty acids for metabolic phenotyping of large epidemiological studies |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3706814/ https://www.ncbi.nlm.nih.gov/pubmed/23618465 http://dx.doi.org/10.1186/gm443 |
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