Multi-Omics Molecular Signatures for Fertility Status in Beef Heifers

230 differentially expressed genes and 70 differentially abundant proteins were identified from peripheral white blood cells of fertile and subfertile beef heifers. The dataset, created by T. Cody Brown and last updated in April 2026, integrates transcriptomic and proteomic data to investigate regulatory networks associated with pregnancy outcomes. It is a small dataset of 31.8 KB, shared under a CC-BY-4.0 license on figshare.

Use Cases

• Identify potential fertility biomarkers based on differentially expressed genes and proteins.
• Analyze regulatory network patterns between fertile and subfertile groups based on described connectivity and regulatory impact factor genes.
• Investigate the interplay between hormone signaling and chromatin regulation based on the rewiring of epigenetic transcription factors like MBD1 and SMARCE1.
• Validate the role of specific molecules like NPL in early pregnancy establishment based on its reported progesterone responsiveness.

Strengths

• Integrates two distinct omics layers (transcriptomics and proteomics) from the same biological sample source.
• Includes results from over-representation analyses linking molecules to specific pathways like chemokine and JAK-STAT signaling.
• Data is shared under a permissive CC-BY-4.0 license, facilitating reuse.

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 very small (31.8 KB), indicating limited scope, likely containing summary results rather than raw sequencing data.

Provenance

Source

figshare, author T. Cody Brown.

Collection Method

RNA-Sequencing and untargeted proteomics performed on peripheral white blood cells collected before artificial insemination.

Freshness

Last updated 2026-04-19 22:01:34; freshness should be verified.