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Methylation analysis of 81 glioma clinical samples (49 CIMP+ and 32 CIMP-) and 53 cell line samples

ChEBI2012-02-16 更新2026-07-21 收录

胶质瘤分子分型

甲基化表达分析

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-GEOD-30338 数据链接链接失效反馈

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资源简介：

Methylation analysis of 81 glioma clinical samples (49 CIMP+ and 32 CIMP-) and 53 cell line samples

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创建时间：

2012-02-16

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

Intrinsic glioma subtypes in EORTC 26951 (part 6)

胶质瘤分子分型

肿瘤预后预测

Background: Intrinsic glioma subtypes (IGS) are molecularly similar tumors that can be identified based on unsupervised gene-expression analysis. Here, we have evaluated the clinical relevance of thes

NIAID Data Ecosystem60

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

Methylation analysis of 81 glioma clinical samples (49 CIMP+ and 32 CIMP-) and 53 cell line samples

资源简介：

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