RNA sequencing of genetically engineered mouse model lung tumors and normal mouse lung.
收藏NIAID Data Ecosystem2026-05-01 收录
下载链接：
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE118246
下载链接
链接失效反馈官方服务：
资源简介：
Genetically engineered mouse models (GEMM) of cancer are powerful tools to study multiple aspects of caner biology. We developed a novel GEMM for lung squamous cell carcinoma (LSCC) by genetically combining overexpression of Sox2 with loss of Lkb1: Rosa26LSL-Sox2-IRES-GFP;Lkb1fl/fl (SL). We compared gene expression profiles of SL lung tumors with normal mouse lung tissue, mouse lung adenocarcinoma (LADC) tumors from KrasLSL-G12D/+;Trp53fl/fl (KP), mouse LSCC tumors from Lkb1fl/fl;Ptenfl/fl (LP) model as well as Lenti-Sox2-Cre Lkb1fl/fl. Tumors were isolated from formalin-fixed paraffin-embedded (FFPE) tissue samples by microdissection and nucleic acid isolation was performed followed by single-read or paired-end RNA sequencing.
创建时间：
2023-09-12
