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Additional file 2: of A simplified approach using Taqman low-density array for medulloblastoma subgrouping

Figshare2019-03-05 更新2026-04-29 收录

数据链接：

https://figshare.com/articles/dataset/Additional_file_2_of_A_simplified_approach_using_Taqman_low-density_array_for_medulloblastoma_subgrouping/7802294 数据链接链接失效反馈

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资源简介：

Table S1. TaqMan probes from the gene set used for MB molecular assignment. (CSV 787 bytes)

应用场景：

创建时间：

2019-03-05

儿童母细胞瘤分子分型

肿瘤预后遗传标志物

Medulloblastoma (MB) is a rare disease in adults. In this study we elucidated the genetic landscape and prognostic impact of genetic aberrations in a cohort of 117 adult medulloblastomas. Histological

NIAID Data Ecosystem30

Table_2_Genomic and Transcriptomic Analyses Reveals ZNF124 as a Critical Regulator in Highly Aggressive Medulloblastomas.XLSX

儿童母细胞瘤分子分型

肿瘤驱动基因

Medulloblastoma (MB) is the most common malignant pediatric brain tumor, however, the mechanisms underlying tumorigenesis in different MB subgroups remain incompletely understood. Although previous st

NIAID Data Ecosystem20

DataSheet_2_Classifying Medulloblastoma Subgroups Based on Small, Clinically Achievable Gene Sets.xlsx

儿童母细胞瘤分子分型

临床诊疗优化

As treatment protocols for medulloblastoma (MB) are becoming subgroup-specific, means for reliably distinguishing between its subgroups are a timely need. Currently available methods include immunohis

NIAID Data Ecosystem20

RNAseq of a cohort series of 18 pediatric MBs in Taiwan

儿童母细胞瘤分子分型

癌症精准医疗

Background: Since 2016, a project for molecular diagnosis of childhood medulloblastoma (MB) was initiated in Taiwan. We aimed to integrate molecular classification, molecular and clinical risk factors

NIAID Data Ecosystem20

Multiomic profiling of medulloblastoma reveals subtype-specific targetable alterations at the proteome and N-glycan level [methylation 1]. Multiomic profiling of medulloblastoma reveals subtype-specific targetable alterations at the proteome and N-glycan level [methylation 1]

儿童母细胞瘤分子分型

组学靶点发现

Medulloblastomas (MBs) are malignant pediatric brain tumors that are molecularly and clinically very heterogenous. To unravel phenotypically relevant MB subtypes, we compiled a harmonized proteome dat

NIAID Data Ecosystem20

Additional file 2: of A simplified approach using Taqman low-density array for medulloblastoma subgrouping

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