Integrated Transcriptomic and Proteomic Profiling in a Rat Model of Primary Dysmenorrhea

12 female Sprague-Dawley rats were used to model primary dysmenorrhea, with 6 in the control group and 6 in the PD group. The dataset includes integrated transcriptomic and proteomic analyses, behavioral, biochemical, hormonal, and histopathological data from a study by Yufei Li, last updated in May 2026. It is shared under a CC-BY-4.0 license on figshare.

Use Cases

• Identify dysregulated metabolic pathways based on integrated transcriptomic and proteomic analyses.
• Investigate the relationship between prostaglandin imbalance and nitric oxide deficiency based on biochemical assay results.
• Model uterine microcirculatory impairment based on coagulation analysis and uterine blood perfusion data.
• Explore potential therapeutic targets for pain sensitization based on the arginine–proline metabolism pathway findings.

Strengths

• The dataset integrates multiple data types, including transcriptomics, proteomics, behavioral, and biochemical assays.
• It is based on a controlled animal model with 6 control and 6 PD rats, allowing for comparative analysis.
• The description provides a detailed molecular framework for the disease pathogenesis.

Limitations

• The dataset is very small at 14.5 KB, suggesting limited scope or summary-level data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect bias inherent to the specific rat model and experimental protocol used.

Provenance

Source

Yufei Li

Collection Method

Generated from a laboratory study using a rat model of primary dysmenorrhea, involving estradiol valerate, cold exposure, and oxytocin stimulation.

Freshness

Last updated 2026-05-11 04:27:02; freshness should be verified.