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资源简介：
In vitro models of glioblastoma (GBM)
应用场景：
创建时间：
2011-12-01
相关数据集
GRIT-Atlas
GRIT-Atlas（胶质母细胞瘤治疗抗性图谱）是迄今为止最全面的IDH野生型胶质母细胞瘤（GBM）单细胞和空间分辨率资源。该数据集包含978,065个细胞和296个样本，涵盖了从初次诊断到标准治疗（SOC）和组合免疫治疗（ICB + 抗血管生成治疗）后复发的疾病演变全过程。通过空间转录组学，研究团队在48个患者切片中识别出一个由cNMF7（MES样）恶性细胞、分化受阻的E-MDSCs和分泌VI型
github2025-12-31 更新450
Additional file 4 of Testing for causality between systematically identified risk factors and glioma: a Mendelian randomization study
Additional file 4 Additional file, Table 1: Details of instrumented risk factors found from the systematic search of the literature. Additional file, Table 2: Power calculations for each instrumented
DataCite Commons2020-08-25 更新60
Effect of interfering PER3 in U118MG cells using RNA-seq
Effect of interfering PER3 in glioblastoma cell line U118 cells using RNA-seq
NIAID Data Ecosystem40
Additional file 1 of Mir-139-5p inhibits glioma cell proliferation and progression by targeting GABRA1
Additional file 1: All DEMs between GBM sample compared with normal brain tissues.
Figshare2024-02-28 更新60
Additional file 2 of Fused inverse-normal method for integrated differential expression analysis of RNA-seq data
Additional file 2. Full list of differentially expressed genes (DEGs) identified in scenario 1 by the inverse-normal (IN) method in glioblastoma (GBM) data application.
Figshare2022-08-06 更新50
