df4df3ea-faff-4129-9dae-6535cb126cdd - samples

NIAID Data Ecosystem2026-03-11 收录

胶质母细胞瘤转录组

原发-复发肿瘤配对研究

数据链接：

https://www.omicsdi.org/dataset/ega/EGAD00001005224 数据链接链接失效反馈

官方服务：

资源简介：

Whole transcriptome, strand-directional RNAseq data for paired primary dn recurrent samples from patients with glioblastomaEGA dataset EGAD00001005224

创建时间：

2019-08-12

Differential gene expression upon ADAR3 expression in U87 glioblastoma cells. Differential gene expression upon ADAR3 expression in U87 glioblastoma cells

胶质母细胞瘤转录组

ADAR3差异表达

The genes that are differentially expressed in ADAR3 expressing cells compared to control U87 cells were identified. Overall design: Total RNA from three biological replicates of ADAR3 expressing and

NIAID Data Ecosystem50

ena-DATASET-CeMM-12-04-2018-15:02:11:739-37 - samples

胶质母细胞瘤转录组

肿瘤分子特征

37 transcriptomes derived from fresh-frozen glioblastoma tumor samples. These transcriptomes have been produced for validation purposes and match the corresponding RRBS and WGS profiles in that DNA an

NIAID Data Ecosystem30

RNA sequencing analysis of human glioblastoma cell line U87MG treated with LMO2 overexpression.. RNA sequencing analysis of human glioblastoma cell line U87MG treated with LMO2 overexpression.

胶质母细胞瘤转录组

LMO2基因功能

To understand the changes in the expression of genes in U87MG cells due to LMO2, we analyzed the transcriptome of U87MG cells overexpressing LMO2. As a result, we identify differentially expressed gen

NIAID Data Ecosystem20

pp71-stimulated genes in U87 stable cells

胶质母细胞瘤转录组

病毒基因表达

Glioblastoma multiforme (GBM) is a highly malignant primary central nervous neoplasm characterized by tumor cell invasion, robust angiogenesis, and a mean survival of 15 months. Human cytomegalovirus

NIAID Data Ecosystem40

Comprehensive transcriptomic profiling of glioblastoma patient-derived primary tumor cell lines using bulk RNA-sequencing

胶质母细胞瘤转录组

GBM分子机制

Glioblastoma multiforme (GBM) is a highly aggressive primary brain cancer with significant transcriptomic heterogeneity among patients. Our study aims to contribute to the field of personalized medici

NIAID Data Ecosystem30

df4df3ea-faff-4129-9dae-6535cb126cdd - samples

资源简介：

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