TFRI_GBM_20170831_Patient_PT-RL7940_dataset - samples
收藏NIAID Data Ecosystem2026-03-13 收录
官方服务：
资源简介：
WGS and RNA-Seq data from a GBM patient PT-RL7940EGA dataset EGAD00001004258
应用场景：
创建时间：
2022-02-01
相关数据集
Subclonal evolution of four ER+ breast cancers determined by WGS and scRNA-Seq
We analyzed the subclonal evolution of four ER+ breast cancers over 2-15 years using whole-genome sequencing (WGS) and single-cell RNA-Seq (scRNA-Seq). For each patient we analyzed 2-6 cancer samples,
NIAID Data Ecosystem100
Additional file 10: of Mutation status coupled with RNA-sequencing data can efficiently identify important non-significantly mutated genes serving as diagnostic biomarkers of endometrial cancer
Summary of 395 non-SMGs showed different expression patterns in the groups of FIGO stage patients. (XLSX 34Â kb)
Figshare2023-06-16 更新80
Supplementary Data 3 from Correlation of Somatic Mutation and Expression Identifies Genes Important in Human Glioblastoma Progression and Survival
Supplementary Data 3 from Correlation of Somatic Mutation and Expression Identifies Genes Important in Human Glioblastoma Progression and Survival
Figshare2011-07-01 更新30
Expression data of transduced mouse glioblastomas
Transgenic GFAP-, NES-, and SYN- CRE mice were injected with a lenti-viral construct containing a floxed RFP directly upstream of a cassette containing si-p53, GFP, and mutant HRAS. Tumors arising fro
NIAID Data Ecosystem100
Multiomics of three distinct hematological malignancies in a patient reveals their common origin from clonal hematopoietic stem cells. Multiomics of three distinct hematological malignancies in a patient reveals their common origin from clonal hematopoietic stem cells
Concomitant multiple hematological malignancies are rare and challenging to diagnose. They represent a unique model to explore the multistep process of oncogenesis. Here, we report the unique case of
NIAID Data Ecosystem60
