Suppr超能文献

给予四君子汤单味药的老龄小鼠卵巢转录组分析

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

作者信息

Shin Hyejin, Kim Jihyun, Park Musun, Jo Heeseon, Lee Myunggyo, Cha Seongwon, Lee Haeseung, You Sooseong

机构信息

Korean Medicine (KM) Convergence Research Division, Korea Institute of Oriental Medicine, Daejeon, 34054, Republic of Korea.

KM Data Division, Korea Institute of Oriental Medicine, Daejeon, 34054, Republic of Korea.

出版信息

Sci Data. 2025 Jan 15;12(1):81. doi: 10.1038/s41597-025-04370-9.

Abstract

Samul-tang (SM) is a traditional multi-ingredient herbal formula that is widely used in clinical practice for treating female infertility. Despite its known therapeutic benefits, the complexity of its action mechanisms owing to the combination of multiple compounds has limited its research and integration into modern pharmacological science. To address this challenge, we identified 38 herbal compounds as the major ingredients in SM and generated their transcriptome data from aged-mice ovaries by administering these individual compounds. This dataset provides a resource for investigating the action mechanisms of SM and assist in identifying effective combinations of ingredients that can reproduce the therapeutic effects of SM.

摘要

参术汤(SM)是一种传统的多成分草药配方,在临床实践中广泛用于治疗女性不孕症。尽管其具有已知的治疗益处,但由于多种化合物的组合,其作用机制的复杂性限制了其研究以及在现代药理学中的整合。为应对这一挑战,我们确定了38种草药化合物为SM中的主要成分,并通过给予这些单一化合物从老年小鼠卵巢中生成了它们的转录组数据。该数据集为研究SM的作用机制提供了资源,并有助于确定能够重现SM治疗效果的有效成分组合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/098c/11736141/0ac64ef90729/41597_2025_4370_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验