Multi-Omics Molecular Signatures for Fertility Status in Beef Heifers

A multi-omics dataset integrates transcriptomic and proteomic data from peripheral white blood cells of fertile and subfertile beef heifers. It contains results from RNA-Sequencing and untargeted proteomics, including 230 differentially expressed genes and 70 differentially abundant proteins. The dataset was created by T. Cody Brown and last updated on 2026-04-19.

Use Cases

• Identify potential fertility biomarkers based on differentially expressed genes and proteins.
• Analyze regulatory network patterns between fertile and subfertile groups based on network analysis results.
• Investigate the interplay between hormone signaling and chromatin regulation based on rewired epigenetic transcription factors.
• Validate the role of specific molecules like NPL in early pregnancy establishment based on prior literature connections.

Strengths

• Integrates two omics layers (transcriptomics and proteomics) from the same biological samples.
• Includes results from over-representation analyses linking molecules to specific pathways like chemokine and JAK-STAT signaling.
• Identifies 92 regulatory impact factor (RIF) genes with potential modulatory roles.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Based on a small sample size of 6 animals per group (n=6 per group).

Provenance

Source

figshare

Collection Method

Data generated from RNA-Sequencing and untargeted proteomics of peripheral white blood cells collected before artificial insemination.

Freshness

Last updated 2026-04-19 22:01:32; freshness should be verified.