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

19Citations
Citations of this article
66Readers
Mendeley users who have this article in their library.

This article is free to access.

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.

Cite

CITATION STYLE

APA

Luan, H., Meng, N., Liu, P., Fu, J., Chen, X., Rao, W., … Wang, J. (2015). Non-targeted metabolomics and lipidomics LC-MS data from maternal plasma of 180 healthy pregnant women. GigaScience, 4(1). https://doi.org/10.1186/s13742-015-0054-9

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free