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RNA-seq of four human glioblastoma cell lines from heterogeneous U-343 cell system

ChEBI2020-08-10 更新2026-07-12 收录

胶质瘤分子分型

RNA测序表达分析

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-MTAB-8620 数据链接链接失效反馈

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资源简介：

RNA-seq of four human glioblastoma cell lines from heterogeneous U-343 cell system

应用场景：

创建时间：

2020-08-10

RNA-seq方法比较

胶质瘤分子分型

The molecular classification of glioblastoma (GBM) based on gene expression might better explain outcome and response to treatment than clinical factors. Whole transcriptome sequencing using next-gene

NIAID Data Ecosystem110

File S1 - A 16-Gene Signature Distinguishes Anaplastic Astrocytoma from Glioblastoma

胶质瘤分子分型

基因表达标志物

Supplementary Text: Supplementary Methods and Supplementary Results. Supplementary Tables: Table S1. Primers used for RT-qPCR. Table S2. List of genes selected for expression analysis by PCR array. Ta

NIAID Data Ecosystem90

Clinical and molecular pathology features of pGBM samples in association with IDH1 mutations.

胶质瘤分子分型

IDH基因突变分析

*Two-sided χ test. ‡Student's t-test.

NIAID Data Ecosystem40

Additional file 6 of Dissection of transcriptomic and epigenetic heterogeneity of grade 4 gliomas: implications for prognosis

胶质瘤分子分型

神经肿瘤预后

Additional file 6. Table S3. Component features in each module.

Figshare2024-02-19 更新90

Table_1_Multi-Omics Analysis Reveals Novel Subtypes and Driver Genes in Glioblastoma.XLSX

胶质瘤分子分型

生物标志物研究

Glioblastoma is the most lethal malignant primary brain tumor; nevertheless, there remains a lack of accurate prognostic markers and drug targets. In this study, we analyzed 117 primary glioblastoma p

NIAID Data Ecosystem60

RNA-seq of four human glioblastoma cell lines from heterogeneous U-343 cell system

资源简介：

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