five

Expression data from mouse ovarian surface epithelium cells at different stages of malignancy

收藏
NIAID Data Ecosystem2026-03-10 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE24789
下载链接
链接失效反馈
官方服务:
资源简介:
Ovarian cancer is one of the most deadly cancers accounting for only 3% of diagnosed cancers, but is the fifth leading cause of cancer deaths among woman; however, the progression of ovarian cancer is poorly understood. To study and further understand the early events that lead to epithelial derived ovarian cancer, we previously developed a cell model of progressive ovarian cancer. Mouse ovarian surface epithelial (MOSE) cells have undergone spontaneous transformation in cell culture and represent pre-neoplastic, non-tumorigenic to an aggressive malignant phenotype. Microarray analysis was performed with RNA isolated from different stages of MOSE cells to examine changes in gene expression as MOSE cells transition from a pre-neoplastic to a malignant state. RNA was isolated from MOSE early cell representing a pre-neoplastic, non-malignant stage, MOSE Intermediate cells representing a noeplastic, pre-invasive state, and MOSE Late cells representing a malignant, invasive stage. Three biological replicates were used to take into account variations within the heterogeneous cultures.
创建时间:
2019-02-11
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