five

Gene expression profiling in metabolically heterogeneous human lung tumors

收藏
NIAID Data Ecosystem2026-03-11 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE74484
下载链接
链接失效反馈
官方服务:
资源简介:
To investigate the impact of genetic and environmental factors that influence cancer cell metabolism in vivo, we conducted intra-operative 13C-glucose infusions in NSCLC patients. We determined that regional glucose metabolism was correlated with tumor perfusion as assessed by pre-surgical dynamic gadolinium enhancement.  Tumors or tumor regions showing high or low perfusion were collected and subjected to RNA-seq analysis. RNA-seq analysis was performed to evaluate gene transcriptional levels in human non-small cell lung cancer (NSCLC) tissues showing high or low perfusion as measured by dynamic contrast-enhanced (DCE) MRI.
创建时间:
2019-05-15
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