230 differentially expressed genes and 70 differentially abundant proteins were identified between fertile and subfertile beef heifers. The data integrates transcriptomic and proteomic profiles from peripheral white blood cells collected before artificial insemination. Author T. Cody Brown published this 29.2 KB Excel file on figshare in April 2026.
Use Cases
- Identify fertility biomarkers based on differentially expressed genes and proteins.
- Analyze regulatory networks based on the reported connectivity patterns between transcriptomic and proteomic data.
- Investigate hormone signaling pathways based on the mention of progesterone-responsive gene NPL.
- Study immune-related pathways in fertility based on the described association with chemokine and JAK-STAT signaling.
Strengths
- Integrates two omics layers (transcriptomics and proteomics) from the same biological samples.
- Focuses on a non-invasive sample source (peripheral white blood cells).
- Identifies specific molecular counts: 230 differentially expressed genes and 70 differentially abundant proteins.
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 (29.2 KB), indicating limited scope.
Provenance
- Source
- figshare
- Collection Method
- RNA-Sequencing and untargeted proteomics performed on peripheral white blood cells from 12 beef heifers (6 fertile, 6 subfertile).
- Freshness
- Last updated 2026-04-19 22:01:30; freshness should be verified.