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Non-targeted metabolomics and lipidomics LC–MS data from maternal plasma of 180 healthy pregnant women
BACKGROUND: Metabolomics has the potential to be a powerful and sensitive approach for investigating the low molecular weight metabolite profiles present in maternal fluids and their role in pregnancy. FINDINGS: In this Data Note, LC–MS metabolome, lipidome and carnitine profiling data were collecte...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4391677/ https://www.ncbi.nlm.nih.gov/pubmed/25859341 http://dx.doi.org/10.1186/s13742-015-0054-9 |
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author | Luan, Hemi Meng, Nan Liu, Ping Fu, Jin Chen, Xiaomin Rao, Weiqiao Jiang, Hui Xu, Xun Cai, Zongwei Wang, Jun |
author_facet | Luan, Hemi Meng, Nan Liu, Ping Fu, Jin Chen, Xiaomin Rao, Weiqiao Jiang, Hui Xu, Xun Cai, Zongwei Wang, Jun |
author_sort | Luan, Hemi |
collection | PubMed |
description | BACKGROUND: Metabolomics has the potential to be a powerful and sensitive approach for investigating the low molecular weight metabolite profiles present in maternal fluids and their role in pregnancy. FINDINGS: In this Data Note, LC–MS metabolome, lipidome and carnitine profiling data were collected from 180 healthy pregnant women, representing six time points spanning all three trimesters, and providing sufficient coverage to model the progression of normal pregnancy. CONCLUSIONS: As a relatively large scale, real-world dataset with robust numbers of quality control samples, the data are expected to prove useful for algorithm optimization and development, with the potential to augment studies into abnormal pregnancy. All data and ISA-TAB format enriched metadata are available for download in the MetaboLights and GigaScience databases. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13742-015-0054-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4391677 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43916772015-04-10 Non-targeted metabolomics and lipidomics LC–MS data from maternal plasma of 180 healthy pregnant women Luan, Hemi Meng, Nan Liu, Ping Fu, Jin Chen, Xiaomin Rao, Weiqiao Jiang, Hui Xu, Xun Cai, Zongwei Wang, Jun Gigascience Data Note BACKGROUND: Metabolomics has the potential to be a powerful and sensitive approach for investigating the low molecular weight metabolite profiles present in maternal fluids and their role in pregnancy. FINDINGS: In this Data Note, LC–MS metabolome, lipidome and carnitine profiling data were collected from 180 healthy pregnant women, representing six time points spanning all three trimesters, and providing sufficient coverage to model the progression of normal pregnancy. CONCLUSIONS: As a relatively large scale, real-world dataset with robust numbers of quality control samples, the data are expected to prove useful for algorithm optimization and development, with the potential to augment studies into abnormal pregnancy. All data and ISA-TAB format enriched metadata are available for download in the MetaboLights and GigaScience databases. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13742-015-0054-9) contains supplementary material, which is available to authorized users. BioMed Central 2015-04-09 /pmc/articles/PMC4391677/ /pubmed/25859341 http://dx.doi.org/10.1186/s13742-015-0054-9 Text en © Luan et al.; licensee BioMed Central. 2015 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Data Note Luan, Hemi Meng, Nan Liu, Ping Fu, Jin Chen, Xiaomin Rao, Weiqiao Jiang, Hui Xu, Xun Cai, Zongwei Wang, Jun Non-targeted metabolomics and lipidomics LC–MS data from maternal plasma of 180 healthy pregnant women |
title | Non-targeted metabolomics and lipidomics LC–MS data from maternal plasma of 180 healthy pregnant women |
title_full | Non-targeted metabolomics and lipidomics LC–MS data from maternal plasma of 180 healthy pregnant women |
title_fullStr | Non-targeted metabolomics and lipidomics LC–MS data from maternal plasma of 180 healthy pregnant women |
title_full_unstemmed | Non-targeted metabolomics and lipidomics LC–MS data from maternal plasma of 180 healthy pregnant women |
title_short | Non-targeted metabolomics and lipidomics LC–MS data from maternal plasma of 180 healthy pregnant women |
title_sort | non-targeted metabolomics and lipidomics lc–ms data from maternal plasma of 180 healthy pregnant women |
topic | Data Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4391677/ https://www.ncbi.nlm.nih.gov/pubmed/25859341 http://dx.doi.org/10.1186/s13742-015-0054-9 |
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