Multi-omics dataset of bovine mammary epithelial cells stimulated by ten different essential amino acids

Sci Data. 2024 Mar 12;11(1):288. doi: 10.1038/s41597-024-03123-4.

Abstract

Application of high-throughput sequencing and screening help to detect the transcriptional and metabolic discrepancies in organs provided with various levels of nutrients. The influences of individual essential amino acid (EAA) administration on transcriptomic and metabolomic profilings of bovine mammary epithelial cells (BMECs) were systematically investigated. A RNA sequencing and liquid chromatography-tandem mass spectrometry generated a comprehensive comparison of transcriptomics, non-targeted metabolomics and targeted amino acids profilings of BMECs with individual EAA stimulation by turn. The sequencing data and raw LC-MS/MS data of samples were presented in the databases of Gene Expression Omnibus, MetaboLights and Figshare for efficient reuse, including exploring the divergences in metabolisms between different EAAs and screening valuable genes and metabolites regulating casein synthesis.

Publication types

  • Dataset

MeSH terms

  • Amino Acids, Essential* / metabolism
  • Animals
  • Cattle
  • Chromatography, Liquid
  • Epithelial Cells* / metabolism
  • Mammary Glands, Animal / cytology
  • Metabolomics
  • Multiomics*
  • Tandem Mass Spectrometry

Substances

  • Amino Acids, Essential