Abstract

Controlling heat stress (HS) is a global challenge for the dairy industry. In this work, an integrated metabolomics and lipidomics approach using 1H 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 1H 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).

Highlights

  • Figure, excel file 1H NMR and ultra-fast LC (UFLC)–MS (Bruker Biospin Billerica) Ultra-fast LC(Shimadzu) 5600 Triple TOF mass spectrometer(Applied Biosystems/MDS Sciex) QTRAP 5500 (Applied Biosystems/MDS Sciex) TopSpin software AMIX software package MATLAB R2012a software (MathWorks, Natick, MA, USA) SIMCA-P 12.0 software package (Umetrics AB, Umeå, Sweden) Analysts TF 1.6 Software (Applied Biosystems/MDS Sciex) open-source XCMS package Human Metabolome database and METLIN database Analyzed Plasma samples from Chinese Holstein cows with and without heat stress were collected to characterize the metabolic changes induced by heat stress (HS) Integrated metabolomics and lipidomics using 1H nuclear magnetic resonance (NMR) and UFLC–MS techniques Beijing, China Programs of data transformation are directly provided with this article

  • Value of the data The data of multivariate analysis highlight the significant differences of plasma metabolic profiling between HS and HS-free dairy cows

  • The data point out the potential biomarkers of HS dairy cows

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Summary

Sample collection and experimental design

All experiments involving animals were conducted according to the principles of the Chinese Academy of Agricultural Sciences Animal Care and Use Committee (Beijing, China). Fasting blood samples were collected before morning feeding from the caudal veins of Holstein dairy cows, put into K2 EDTA anti-coagulation vacuum tubes, and centrifuged at 1600g for 10 min at 4 1C. The supernatants were transferred to tubes, frozen quickly, and stored at À 80 1C until use. An overview of the experimental design to acquire the data in present article is shown Fig. 1

Sample preparation
NMR spectroscopic analysis
Data handling
Characterization of potential diagnostic biomarkers

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