Luan Hemi, Meng Nan, Liu Ping, Fu Jin, Chen Xiaomin, Rao Weiqiao, Jiang Hui, Xu Xun, Cai Zongwei, Wang Jun
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.
BGI-Shenzhen, Building No.11, Beishan Industrial Zone, Yantian District, Shenzhen 518083 China.
Gigascience. 2015 Apr 9;4:16. doi: 10.1186/s13742-015-0054-9. eCollection 2015.
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.
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.
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.
代谢组学有潜力成为一种强大且灵敏的方法，用于研究母体体液中存在的低分子量代谢物谱及其在妊娠中的作用。
在本数据说明中，从180名健康孕妇中收集了液相色谱-质谱代谢组、脂质组和肉碱谱数据，这些孕妇代表了整个孕期三个阶段的六个时间点，提供了足够的数据覆盖范围来模拟正常妊娠的进展。
作为一个规模相对较大、包含大量质量控制样本的真实世界数据集，预计这些数据将有助于算法优化和开发，并有可能增强对异常妊娠的研究。所有数据和以ISA-TAB格式丰富的元数据均可在MetaboLights和GigaScience数据库中下载。
