five

Details of microarray data.

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://figshare.com/articles/dataset/Details_of_microarray_data_/29259684
下载链接
链接失效反馈
官方服务:
资源简介:
Background Ulcerative colitis (UC) is a recurrent inflammatory condition of the bowel with a multifaceted pathogenesis, including programmed cell death, oxidative stress, and immune-mediated inflammation. As a recently identified type of cell death, disulfidptosis has an unclear role in UC. Methods We analyzed clusters of disulfidptosis-related genes (DRGs) and immune cell infiltration in 361 patients with UC from the GSE73661and GSE92415 datasets. Differentially expressed genes (DEGs) were identified using unsupervised clustering methods, and hub genes were selected using machine learning algorithms. Additionally, potential key components of potential traditional Chinese medicines for the treatment of UC were predicted based on hub genes. Finally, experimental validation was performed through qRT-PCR, western blotting, and immunohistochemistry. Results We identified two molecular clusters related to disulfidptosis, each showing significant heterogeneity in gene expression and immune profiles. Hub genes associated with disulfidptosis, CXCL1, HMGCS2, AQP8, and SLC26A2, were further screened and validated. Additionally, potential traditional Chinese medicines for UC were predicted. 3’-Methoxydaidzein (MHD), a key constituent of Puerariae Radix, inhibited LPS-induced inflammatory responses in Caco2 cells and alleviated DSS-induced colonic injury in UC mice via upregulation of SLC26A2. Conclusion DRGs demonstrate strong discriminatory power in distinguishing UC subtypes. Cluster with high expression of SLC26A2 showed a UC phenotype with a milder degree of damage. Additionally, we identified the hub gene SLC26A2 as playing a significant role in UC, and MHD demonstrates potential as a targeted therapeutic strategy for UC.
创建时间:
2025-06-06
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作