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Prevalent p53 gain-of-function mutants co-opt epigenetic pathways to drive cancer growth

ChEBI2015-07-31 更新2026-07-12 收录

p53突变体表观遗传调控

癌症驱动基因

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-GEOD-59176 数据链接链接失效反馈

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资源简介：

Prevalent p53 gain-of-function mutants co-opt epigenetic pathways to drive cancer growth

应用场景：

创建时间：

2015-07-31

癌症基因组数据

癌症驱动基因

Table S1. Systems-level properties of cancer genes. Table S2 List of 273 publications describing cancer sequencing screens in NCG. Table S3 Enrichment and depletion of cancer genes in protein function

NIAID Data Ecosystem100

Additional file 2 of Integrative modeling of multi-omics data to identify cancer drivers and infer patient-specific gene activity

癌症驱动基因

多组学整合分析

GoF and LoF gene scores for those genes that are mutated in more than 1 % of the samples. (CSV 37.9 kb)

Figshare2016-12-15 更新60

Total number of non-silent mutations in the top predicted genes by different methods trained on the TUSON database.

癌症驱动基因

基因突变分析

Total number of non-silent mutations in the top predicted genes by different methods trained on the TUSON database.

NIAID Data Ecosystem40

Additional file 1: of LNDriver: identifying driver genes by integrating mutation and expression data based on gene-gene interaction network

癌症驱动基因

头颈鳞状细胞癌机制

The candidate drivers with p-values less than 0.05 in HNSC. (XLS 20 kb)

Figshare2016-12-24 更新60

Additional file 4 of Gsw-fi: a GLM model incorporating shrinkage and double-weighted strategies for identifying cancer driver genes with functional impact

癌症驱动基因

基因组功能突变分析

Additional file 4. Table S3: The ratios of harmful mutations for driver genes identified by GSW-FI in 31 datasets.

Figshare2024-08-18 更新50

Prevalent p53 gain-of-function mutants co-opt epigenetic pathways to drive cancer growth

资源简介：

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