Tian He, Wang Weiyu, Zheng Nan, Cheng Jianbo, Li Songli, Zhang Yangdong, Wang Jiaqi
Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
The High School Affiliated to Renmin University of China, Beijing, China.
Data Brief. 2015 May 7;4:90-5. doi: 10.1016/j.dib.2015.04.020. eCollection 2015 Sep.
Controlling heat stress (HS) is a global challenge for the dairy industry. In this work, an integrated metabolomics and lipidomics approach using (1)H nuclear magnetic resonance (NMR) and ultra-fast LC-MS in combination with multivariate analyses was employed to investigate the discrimination of plasma metabolic profiles between HS-free and HS lactating dairy cows. Here we provide the information about the acquiring and processing of raw data obtained by (1)H NMR and LC-MS techniques. The data of present study are related to the research article "Identification of diagnostic biomarkers and metabolic pathway shifts of heat-stressed lactating dairy cows" in the Journal of Proteomics (Tian et al., J. Proteomics, (2015), doi:10.1016/j.jprot.2015.04.014).
控制热应激（HS）是乳制品行业面临的一项全球性挑战。在本研究中，采用了一种综合代谢组学和脂质组学方法，即利用氢核磁共振（¹H NMR）和超快速液相色谱 - 质谱联用技术，并结合多变量分析，来研究无热应激和热应激泌乳奶牛之间血浆代谢谱的差异。在此，我们提供了通过¹H NMR和液相色谱 - 质谱技术获取和处理原始数据的相关信息。本研究的数据与发表在《蛋白质组学杂志》上的研究论文《热应激泌乳奶牛诊断生物标志物的鉴定及代谢途径变化》（田等人，《蛋白质组学杂志》，（2015年），doi:10.1016/j.jprot.2015.04.014）相关。
