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 explore regulatory networks associated with pregnancy outcomes. It is a small, 14.9 KB Excel file containing results from network-based analyses of six animals per group.

Use Cases

• Identify potential fertility biomarkers based on differentially expressed genes and proteins.
• Analyze regulatory network patterns between biological groups based on described connectivity and regulatory impact factor genes.
• Investigate the interplay between hormone signaling and chromatin regulation based on mentions of epigenetic transcription factors like MBD1 and SMARCE1.

Strengths

• Integrates two omics layers (transcriptomics and proteomics) from the same biological sample.
• Results are derived from a controlled experimental design with 6 animals per group.
• Data is openly shared under a CC-BY-4.0 license.

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 (14.9 KB), indicating limited scope, likely containing summary results rather than raw data.

Provenance

Source

figshare

Collection Method

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

Time Range

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Freshness

Last updated 2026-04-19 22:01:29; freshness should be verified.

Geography

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