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

GigaScience

Jun Wang¹  Zongwei Cai²  Xun Xu³  Hui Jiang³  Weiqiao Rao³  Xiaomin Chen³  Jin Fu³  Ping Liu³  Nan Meng³  Hemi Luan³ 

[1] Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, Copenhagen, DK-2200, Denmark;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 518083, Shenzhen, China

关键词: Maternal plasma;    Metabolic phenotype;    Pregnancy;    Lipidomics;    Metabolomics;   

Others  :  1172975
DOI  :  10.1186/s13742-015-0054-9

 received in 2014-11-29, accepted in 2015-03-11,  发布年份 2015

【 摘 要 】

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.

【 授权许可】

   
2015 Luan et al.; licensee BioMed Central.

【 图 表 】

Figure 1.

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