Cell type-specific transcriptomics of esophageal adenocarcinoma as a scalable alternative for single cell transcriptomics
收藏NIAID Data Ecosystem2026-03-11 收录
下载链接:
https://www.omicsdi.org/dataset/ega/EGAS00001004053
下载链接
链接失效反馈官方服务:
资源简介:
We developed a protocol for the separation of esophageal carcinoma tissue into leukocytes (using CD45 as a marker), epithelial cells (EpCAM), and fibroblasts (two out of PDGFRA, CD90, anti-fibroblast) by fluorescence-activated cell sorting followed by RNA-sequencingEGA study EGAS00001004053
创建时间:
2020-05-12



