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Data from identification of diagnostic biomarkers and metabolic pathway shifts of heat-stressed lactating dairy cows.


ABSTRACT: 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).

SUBMITTER: Tian H 

PROVIDER: S-EPMC4510399 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature

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Data from identification of diagnostic biomarkers and metabolic pathway shifts of heat-stressed lactating dairy cows.

Tian He H   Wang Weiyu W   Zheng Nan N   Cheng Jianbo J   Li Songli S   Zhang Yangdong Y   Wang Jiaqi J  

Data in brief 20150507


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 o  ...[more]

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