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

Data Sheet 1_Network-based multi-omics approaches to identify molecular signatures associated with pregnancy status in beef heifers.pdf is a research dataset published on figshare by T. Cody Brown in April 2026. It contains integrated transcriptomic and proteomic data from peripheral white blood cells of 12 beef heifers, identifying 230 differentially expressed genes and 70 differentially abundant proteins. The data is used to investigate molecular networks and potential biomarkers associated with fertility outcomes.

Use Cases

• Identify potential fertility biomarkers based on differentially expressed genes and proteins mentioned in the description.
• Analyze regulatory network rewiring between fertile and subfertile groups based on the described network analyses.
• Investigate the interplay between hormone signaling and chromatin regulation based on the mention of epigenetic transcription factors.
• Validate non-invasive biomarker sources for fertility prediction based on the use of peripheral white blood cells.

Strengths

• Integrates two omics layers (transcriptomics and proteomics) from the same biological samples.
• Includes data from 12 animals (6 per group) with defined reproductive outcomes.
• Analysis identified specific molecular counts: 230 differentially expressed genes and 70 differentially abundant proteins.
• 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 small (1.2 MB), which may limit the scope of analyses.

Provenance

Source

T. Cody Brown via figshare.

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, but specific dates are not provided.

Freshness

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

Geography

Beef cattle production system; specific location is not provided.