five

Expression data of gastric cancer by conventional microarray and by suppressive subtractive hybridization coupled to microarray

收藏
NIAID Data Ecosystem2026-03-07 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE38932
下载链接
链接失效反馈
官方服务:
资源简介:
Transcriptional profiling of gastric tumors compared to paired adjacent non-tumoral gastric tissue by two strategies. The first strategy is a conventional microarray assay, while the second strategy involves a previous Suppression Subtractive Hybridization (SSH) followed by a conventional microarray assay. We applied subtractive hybridization followed by microarray analysis to identify tumor-specific low-abundance transcripts. The goal was to determine differences in gene expression profile in tumor samples by both strategies. Two-condition experiment: tumoral vs. adjacent non-tumoral tissues. Biological replicates: 12 tumoral replicates, 12 non-tumoral replicates. The same replicates were used for both strategies (conventional, SSH). Human Universal Reference RNA (Clontech) was used as the reference.
创建时间:
2013-10-15
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