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Gigascience. 2015 Apr 9;4:16. doi: 10.1186/s13742-015-0054-9. eCollection 2015.

Non-targeted metabolomics and lipidomics LC-MS data from maternal plasma of 180 healthy pregnant women.

Author information

1
Department of Chemistry, Hong Kong Baptist University, 224 Waterloo Road, Kowloon Tong, Hong Kong China ; BGI-Shenzhen, Building No.11, Beishan Industrial Zone, Yantian District, Shenzhen 518083 China.
2
BGI-Shenzhen, Building No.11, Beishan Industrial Zone, Yantian District, Shenzhen 518083 China.
3
Department of Chemistry, Hong Kong Baptist University, 224 Waterloo Road, Kowloon Tong, Hong Kong China.
4
BGI-Shenzhen, Building No.11, Beishan Industrial Zone, Yantian District, Shenzhen 518083 China ; Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, DK-2200 Copenhagen, Denmark.

Abstract

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.

KEYWORDS:

Lipidomics; Maternal plasma; Metabolic phenotype; Metabolomics; Pregnancy

PMID:
25859341
PMCID:
PMC4391677
DOI:
10.1186/s13742-015-0054-9
[Indexed for MEDLINE]
Free PMC Article

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