five

Gene expression analysis in bladder cancer cells lines

收藏
NIAID Data Ecosystem2026-03-10 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE28255
下载链接
链接失效反馈
官方服务:
资源简介:
We have previously characterized two groups of bladder cancer cell lines based on their dependence on Hedgehog signaling for survival. Here, we examined the global gene expression in these cells. By comparing the gene expression profile within and between these two groups of cells, we identified list of genes and pathways that potentially account for their dependence on Hedgehog signaling, and specifically a gene signature for those cells more dependent to HH signaling for proliferation. We analized four different bladder cancer cell lines: J82, HT1376, T24, and Vmcub1. We performed triplicates of each sample, and completed a Hierarchical Condition Clustering, a Principal Component Analysis, and we also applied statistical analysis to identify genes that are differentially expressed between the different cell lines. We also put these lists of statistically significant genes into a biological context by performing Pathway Analysis.
创建时间:
2018-08-13
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