Hepatic Transcriptomic Signatures for Beef Steer Feed Efficiency Phenotypes

Modoluwamu Idowu's dataset catalogs hepatic transcriptional signatures associated with divergent residual average daily gain (RADG) in beef steers. The data is derived from liver biopsies of 16 crossbred steers, identifying 16,735 genes and 15 differentially expressed genes based on specific statistical thresholds. It was last updated on 2026-04-30.

Use Cases

• Identify candidate genes for feed efficiency based on differential expression of genes like COL2A1, IL32, and SMO.
• Analyze enriched biological pathways such as protein digestion and absorption or immune activation mentioned in the Gene Ontology results.
• Study network interactions of highly connected gene nodes like COL2A1, E2F8, SLC2A5, and GZMA derived from the transcriptomic data.

Strengths

• Includes data from 108 crossbred beef steers with an average body weight of 495 ± 32kg.
• Differential expression analysis identified 16,735 genes and 15 specific DEGs (6 upregulated, 9 downregulated) using defined statistical criteria (FDR ≤ 0.05, |log2FC| ≥ 1.0).
• Provides detailed Gene Ontology and pathway enrichment analysis results, such as over-representation of processes like regulation of extrinsic apoptotic signaling and carbohydrate digestion and absorption.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (19.1 KB), indicating limited scope, likely containing summary results rather than raw sequencing data.

Provenance

Source

figshare, author Modoluwamu Idowu.

Collection Method

Liver biopsies collected from steers after a 49-day feeding trial with intake monitored by GrowSafe8000 nodes, followed by differential gene expression analysis.

Time Range

The study period is not explicitly stated, but data collection involved a 49-day feeding trial.

Freshness

Last updated 2026-04-30 05:38:23; freshness should be verified.