Damage-Net: A program for DNA repair meta-analysis identifies a network of novel repair genes that facilitate cancer evolution
| Autor: | Aldo S. Bader, Martin Bushell |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Proteomics
Adrenocortical carcinoma Mutational burden DNA Repair DNA repair DNA Mutational Analysis Genomics Computational biology Biology Biochemistry Article 03 medical and health sciences 0302 clinical medicine medicine CRISPR Humans Molecular Biology Gene 030304 developmental biology 0303 health sciences DNet-genes Damage-Net identified genes Mass spectrometry Cancer Cell Biology ACC adrenocortical carcinoma TCGA medicine.disease Adrenal Cortex Neoplasms Neoplasm Proteins Gene Expression Regulation Neoplastic ComputingMethodologies_PATTERNRECOGNITION 030220 oncology & carcinogenesis Meta-analysis Mutation Disease Progression TCGA The Cancer Genome Atlas Damage-Net ACC-Net genes ACC specific Damage-Net identified genes Software |
| Zdroj: | DNA Repair |
| ISSN: | 1568-7856 |
| Popis: | Highlights • Damage-Net is a downloadable program for quick and easy meta-analysis of large datasets. • Users can use the datasets in the curated database of DNA-repair based studies and also upload their own data for analysis. • Built in pan-cancer mutation and survival analysis allows genes of interest to be queried for DNA-repair roles in cancer. • Analysis of the database found a novel group of DNA repair genes and a major role for DNA-repair in adrenocortical carcinoma. The advent of genome-wide methods for identifying novel components in biological processes including CRISPR screens and proteomic studies, has transformed the research landscape within the biological sciences. However, each study normally investigates a single aspect of a process without integration of other published datasets. Here, we present Damage-Net, a program with a curated database of published results from a broad range of studies investigating DNA repair, that facilitates simple and quick meta-analysis. Users can incorporate their own datasets for analysis, and query genes of interest in the database. Importantly, this program also allows users to examine the correlation of genes of interest with pan-cancer patient survival and mutational burden effects. Interrogating these datasets revealed a network of genes that associated with cancer progression in adrenocortical carcinoma via facilitating mutational burden, ultimately contributing substantially to adrenocortical carcinoma’s poor prognosis. Download at www.damage-net.co.uk. |
| Databáze: | OpenAIRE |
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