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

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 pla...

Descripción completa

Detalles Bibliográficos
Autores principales: Tian, He, Wang, Weiyu, Zheng, Nan, Cheng, Jianbo, Li, Songli, Zhang, Yangdong, Wang, Jiaqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4510399/
https://www.ncbi.nlm.nih.gov/pubmed/26217769
http://dx.doi.org/10.1016/j.dib.2015.04.020
Descripción
Sumario: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).

Ejemplares similares