Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma Patients.
Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma Patients.
复制标题
中国胶质瘤基因组图谱（CGGA）：中国胶质瘤患者功能基因组数据的综合资源。
DOI：
10.1016/j.gpb.2020.10.005
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发表时间：
2021-03
期刊：
影响因子：
--
通讯作者：
Jiang T
中科院分区：
文献类型：
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作者：
Zhao Z;Zhang KN;Wang Q;Li G;Zeng F;Zhang Y;Wu F;Chai R;Wang Z;Zhang C;Zhang W;Bao Z;Jiang T
脑胶质瘤是成人颅内最常见的恶性肿瘤。近年来的研究表明功能基因组学在胶质瘤的病理生理研究和治疗中具有重要意义。然而，获得全面的基因组数据和分析平台的机会往往有限。在这里，我们开发了中国胶质瘤基因组图谱（CGGA），这是一个用户友好的数据门户网站，用于存储和交互式探索交叉组学数据，包括来自中国队列的近2000个原发性和复发性胶质瘤样本。目前，开放获取全外显子组测序数据（286份样本），mRNA测序（1018个样品）和微阵列数据（301个样本），DNA甲基化微阵列数据（159个样本）和microRNA微阵列数据（198份样本），以及详细的临床信息（年龄、性别、放化疗状态、WHO分级、组织学类型、关键分子病理学信息和存活数据）。此外，我们还开发了几种工具，供用户分析突变谱、mRNA/microRNA表达和DNA甲基化谱，并对特定胶质瘤亚型进行生存和基因相关性分析。该数据库为研究人员消除了障碍，为生物学研究和临床应用提供了快速、便捷的高质量功能基因组数据资源。CGGA可在http://www.cgga.org.cn上获得。
Gliomas are the most common and malignant intracranial tumors in adults. Recent studies have revealed the significance of functional genomics for glioma pathophysiological studies and treatments. However, access to comprehensive genomic data and analytical platforms is often limited. Here, we developed the Chinese Glioma Genome Atlas (CGGA), a user-friendly data portal for the storage and interactive exploration of cross-omics data, including nearly 2000 primary and recurrent glioma samples from Chinese cohort. Currently, open access is provided to whole-exome sequencing data (286 samples), mRNA sequencing (1018 samples) and microarray data (301 samples), DNA methylation microarray data (159 samples), and microRNA microarray data (198 samples), and to detailed clinical information (age, gender, chemoradiotherapy status, WHO grade, histological type, critical molecular pathological information, and survival data). In addition, we have developed several tools for users to analyze the mutation profiles, mRNA/microRNA expression, and DNA methylation profiles, and to perform survival and gene correlation analyses of specific glioma subtypes. This database removes the barriers for researchers, providing rapid and convenient access to high‐quality functional genomic data resources for biological studies and clinical applications. CGGA is available at http://www.cgga.org.cn.