Multi-Omics Molecular Signatures of 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 data, published by T. Cody Brown on figshare under CC-BY-4.0, integrates transcriptomic and proteomic profiles to reveal pathways like chemokine and JAK-STAT signaling. Network analyses suggest distinct regulatory patterns between groups, highlighting potential non-invasive biomarkers for fertility.

Use Cases

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

Strengths

• Integrates two omics layers: 230 differentially expressed genes and 70 differentially abundant proteins.
• Focuses on a non-invasive sample source: peripheral white blood cells.
• Includes network analysis results revealing distinct regulatory patterns between groups.
• Data is openly licensed under CC-BY-4.0.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The sample size is small, with data from only 6 heifers per group.

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.