Metabolome expression data of Xinjiang Brown cattle and Chinese Holstein cattle

Xinjiang Brown and Chinese Holstein cattle were sampled across spring, summer, autumn, and winter. The dataset contains metabolomic and transcriptomic data from seven individuals per breed per season, identifying hundreds of differentially expressed genes and metabolites. It was published by kailun ma on figshare in April 2026.

Use Cases

• Identify seasonal patterns in gene expression and metabolite levels based on the multi-season sampling design.
• Analyze breed-specific differences in lactation-related pathways based on the identified differentially expressed genes and metabolites.
• Investigate the blood-milk and blood-plasma metabolic axes based on the integrated analysis of transcriptomic and metabolomic data.
• Study enrichment in specific signaling pathways like Galactose metabolism or NF-kappa B based on the reported pathway analysis.

Strengths

• Data covers four distinct seasons (spring, summer, autumn, winter) for temporal analysis.
• Includes samples from seven individuals per breed (Xinjiang Brown and Chinese Holstein cattle) per season.
• Integrated multi-omics analysis correlating transcriptomic and metabolomic data from blood, milk, and plasma.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 1.9 MB file size suggests a relatively small dataset.

Provenance

Source

figshare

Collection Method

Multi-omics integrative analysis of blood transcriptomic and milk/plasma metabolomic data from sampled cattle.

Freshness

Last updated 2026-04-16 10:31:34; freshness should be verified.

Geography

Likely China, focusing on Xinjiang Brown and Chinese Holstein cattle breeds.