Transcriptome profiling of ovaries in aged mice administered with individual ingredients of Samul-tang

Samul-tang (SM) is a traditional multi-ingredient treatment widely used in clinical practice for improving ovarian function in women with diminished ovarian reserve. Despite its therapeutic benefits, the complexity of its mechanisms of action due to the combination of multiple compounds has limited its research integration into modern pharmacological science. To address this challenge, we identified 39 herbal compounds as major ingredients in SM and generated transcriptome data from the mice ovaries after administrating with individual ingredients. This dataset aims to provide insights into the mechanisms of action of SM and to aid in the identification of effective ingredient combinations.