Multi-Omics Analysis of Dark-Cutting Beef Formation in Xinjiang Brown Cattle

A 2026 study by Hengbin Yu integrates transcriptomic and metabolomic data from twelve Xinjiang Brown beef cattle to investigate dark-cutting beef (DFD). The dataset includes phenotypic meat color measurements (L*, a*, b*), cooking loss data, 1,516 differentially expressed genes, and 98 differential metabolites. It was published under a CC-BY-4.0 license on figshare.

Use Cases

• Identify candidate genes for meat quality based on 1,516 differentially expressed genes.
• Analyze metabolic pathways linked to dark-cutting beef based on 98 differential metabolites.
• Investigate the relationship between glycolytic suppression and oxidative stress based on multi-omics integration.
• Develop predictive models for dark-cutting beef based on phenotypic traits like meat color (L*, a*, b*) and cooking loss.

Strengths

• Includes multi-omics data from 12 animals, combining transcriptomic and metabolomic profiles.
• Identifies 1,516 differentially expressed genes and 98 differential metabolites.
• Provides specific phenotypic measurements, including meat color (L*, a*, b*) and cooking loss.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (4.1 MB), suggesting a limited sample size.

Provenance

Source

figshare

Collection Method

Integrated phenotypic analysis, transcriptomics, and non-targeted metabolomics on twelve Xinjiang Brown beef cattle.

Freshness

Last updated 2026-06-03 05:40:04; freshness should be verified.

Geography

Xinjiang Brown beef cattle