Multi-omics Data on Fertility Status in Beef Heifers from Peripheral Blood Cells

Data Sheet 2 contains multi-omics data from a study by T. Cody Brown investigating molecular signatures of fertility in beef heifers. The dataset integrates transcriptomic and proteomic data from peripheral white blood cells of 12 heifers, collected before artificial insemination. It was last updated on 2026-04 19.

Use Cases

• Identify differentially expressed genes and proteins associated with fertility status based on RNA-Seq and proteomics data.
• Analyze regulatory networks and pathway enrichment based on cell cycle, metabolism, and immune-related pathways mentioned in the description.
• Investigate potential non-invasive biomarkers for fertility prediction based on molecular data from peripheral white blood cells.
• Study the interplay between hormone signaling and chromatin regulation based on rewired epigenetic transcription factors like MBD1 and SMARCE1.

Strengths

• Integrates two omics layers: 230 differentially expressed genes and 70 differentially abundant proteins identified.
• Includes network analysis results with regulatory patterns defined by correlation (|r ≥ 0.95|) and significance (P ≤ 0.05).
• Data is openly available 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 at 188.1 KB, indicating limited scope, likely containing summary results rather than raw sequencing data.

Provenance

Source

T. Cody Brown via figshare.

Collection Method

RNA-Sequencing and untargeted proteomics performed on peripheral white blood cells from beef heifers.

Time Range

Collection occurred before artificial insemination; specific dates are not provided.

Freshness

Last updated 2026-04-19 22:01:31; freshness should be verified.

Geography

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