Multi-Omics Network Analysis of Fertility in Beef Heifers

Table 9_Network-based multi-omics approaches to identify molecular signatures associated with pregnancy status in beef heifers.xlsx contains integrated transcriptomic and proteomic data from peripheral white blood cells of fertile and subfertile beef heifers. The dataset, authored by T. Cody Brown and shared on figshare, includes results from RNA-Sequencing and untargeted proteomics, identifying 230 differentially expressed genes and 70 differentially abundant proteins. It was 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 described connectivity differences.
• Investigate the role of specific pathways like JAK-STAT signaling in fertility based on over-representation analyses.
• 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 sample.
• Includes results from 12 animals (n=6 per group), providing a comparative basis.
• Data is structured in an XLSX file, facilitating spreadsheet-based analysis.
• Released under a permissive 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 small (1.3 MB), which may limit the complexity of analyses.

Provenance

Source

figshare, author T. Cody Brown.

Collection Method

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

Time Range

The temporal coverage of the underlying study is not specified.

Freshness

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

Geography

The geographic origin of the beef heifers is not specified.