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.

用于识别生物过程中新成分的全基因组方法的出现，包括 CRISPR 筛选和蛋白质组学研究，已经改变了生物科学的研究领域。然而，每项研究通常只调查一个过程的一个方面，而不整合其他已发布的数据集。在这里，我们介绍了 Damage-Net，这是一个程序，该程序具有一个精心策划的数据库，其中包含来自调查 DNA 修复的广泛研究的已发表结果，它有助于进行简单而快速的荟萃分析。用户可以合并他们自己的数据集进行分析，并在数据库中查询感兴趣的基因。重要的是，该程序还允许用户检查感兴趣的基因与泛癌患者生存和突变负担效应的相关性。对这些数据集的研究揭示了一个基因网络，这些基因通过促进突变负担与肾上腺皮质癌的癌症进展相关，最终导致肾上腺皮质癌的预后不良。在 www.damage-net.co.uk 下载。