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Table S5 from Fitness Screens Map State-Specific Glioblastoma Stem Cell Vulnerabilities

Figshare2024-12-02 更新2026-04-28 收录

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https://figshare.com/articles/dataset/Table_S5_from_Fitness_Screens_Map_State-Specific_Glioblastoma_Stem_Cell_Vulnerabilities/27939343 数据链接链接失效反馈

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qBF scores GSC screens vs Nonmalignant control screens

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2024-12-02

胶质母细胞瘤干细胞

表观遗传调控

Glioblastoma (GBM) is thought to be driven by a sub-population of cancer stem cells (CSCs) that self-renew and recapitulate tumor heterogeneity, yet remain poorly understood. Here we present a compara

NIAID Data Ecosystem80

The MET oncogene is a functional marker of a glioblastoma stem cell subtype and drives the invasive phenotype

胶质母细胞瘤干细胞

MET基因功能

Eighteen independent neurospheres derived from patients affected by primary glioblastoma were grouped into “classical”, “mesenchymal” or “proneural” subtypes according to analysis of genetic lesions a

NIAID Data Ecosystem60

RNA-seq analysis in human Glioblastom Stem Cells in response to ADAR-KD

胶质母细胞瘤干细胞

差异表达RNA分析

Our observation suggest that ADAR may play important role to maintain GSC stemness. In order to address this hypothesis, we abrogated the expression of ADAR in GSCs using two distinct short and non-ov

NIAID Data Ecosystem50

Quiescent glioblastoma cells shift to an epithelial-mesenchymal transition-like gene program

胶质母细胞瘤干细胞

上皮-间质转化机制

Quiescent stem cells of glioblastoma (GBM), a malignant primary brain tumor, are potential sources for recurrence after therapy. However, the gene expression program underlying the physiology of GBM s

NIAID Data Ecosystem70

Sequencing data from the NCI-MATCH concordance study

癌症精准医学

分子检测一致性

NCI-MATCH, the largest precision medicine initiative to date, used a network of 26 outside academic and commercial laboratories to refer patients to the trial when the central screening phase ended. P

NIAID Data Ecosystem60

Table S5 from Fitness Screens Map State-Specific Glioblastoma Stem Cell Vulnerabilities

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