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

230 differentially expressed genes and 70 differentially abundant proteins were identified from peripheral white blood cells of 12 beef heifers to study fertility. The dataset, created by T. Cody Brown and last updated in April 2026, integrates transcriptomic and proteomic data to reveal regulatory networks. It highlights pathways like chemokine signaling and JAK-STAT signaling associated with reproductive outcomes.

Use Cases

• Identify potential fertility biomarkers based on differentially expressed genes and proteins.
• Analyze regulatory network patterns based on correlation data between fertile and subfertile groups.
• Investigate the interplay between hormone signaling and chromatin regulation based on rewired epigenetic transcription factors.
• Validate multi-omics integration approaches for non-invasive biomarker discovery based on peripheral white blood cell data.

Strengths

• Integrates two omics layers: transcriptomics (RNA-Seq) and proteomics from the same biological samples.
• Data is focused on a specific, well-defined biological question with 6 animals per group (fertile vs. subfertile).
• Released under a permissive CC-BY-4.0 license, allowing for broad reuse and redistribution.
• Analysis includes network and over-representation analyses, providing processed biological insights.

Limitations

• Row count is unknown, which may limit suitability assessment for machine learning.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (22.9 KB), indicating limited raw data scope, likely containing summary results.

Provenance

Source

figshare, author T. Cody Brown.

Collection Method

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

Time Range

Collection time relative to artificial insemination is implied, but specific dates are not provided.

Freshness

Last updated 2026-04-19 22:01:32; freshness should be verified.

Geography

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