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 12 beef heifers. The data, authored by T. Cody Brown and last updated in April 2026, integrates transcriptomic and proteomic profiles to investigate molecular differences between fertile and subfertile animals. This work provides insights into regulatory networks associated with pregnancy outcomes.

Use Cases

• Identify potential fertility biomarkers based on differentially expressed genes and proteins.
• Analyze regulatory network patterns based on transcriptomic and proteomic data integration.
• Investigate pathways like JAK-STAT signaling based on over-representation analysis results.
• Study the interplay between hormone signaling and chromatin regulation based on rewired epigenetic transcription factors.

Strengths

• Integrates two omics layers (transcriptomics and proteomics) from the same biological samples.
• Data is derived from a non-invasive source (peripheral white blood cells).
• Analysis includes network-based regulatory impact factor (RIF) genes and epigenetic factors.

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 (15.9 KB), indicating a limited scope focused on analysis results rather than raw sequencing data.

Provenance

Source

figshare

Collection Method

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

Freshness

Last updated 2026-04-19 22:01:33; freshness should be verified.