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CancerSCEM: a database of single-cell expression map across various human cancers
Nucleic Acids Research ( IF 16.6 ) Pub Date : 2021-09-30 , DOI: 10.1093/nar/gkab905
Jingyao Zeng 1, 2, 3 , Yadong Zhang 1, 2, 3 , Yunfei Shang 1, 2, 3, 4 , Jialin Mai 1, 2, 3, 4 , Shuo Shi 1, 2, 3, 4 , Mingming Lu 1, 2, 3, 4 , Congfan Bu 1, 2, 3 , Zhewen Zhang 1, 2, 3 , Zaichao Zhang 5 , Yang Li 6 , Zhenglin Du 1, 2, 3 , Jingfa Xiao 1, 2, 3, 4
Affiliation  

With the proliferating studies of human cancers by single-cell RNA sequencing technique (scRNA-seq), cellular heterogeneity, immune landscape and pathogenesis within diverse cancers have been uncovered successively. The exponential explosion of massive cancer scRNA-seq datasets in the past decade are calling for a burning demand to be integrated and processed for essential investigations in tumor microenvironment of various cancer types. To fill this gap, we developed a database of Cancer Single-cell Expression Map (CancerSCEM, https://ngdc.cncb.ac.cn/cancerscem), particularly focusing on a variety of human cancers. To date, CancerSCE version 1.0 consists of 208 cancer samples across 28 studies and 20 human cancer types. A series of uniformly and multiscale analyses for each sample were performed, including accurate cell type annotation, functional gene expressions, cell interaction network, survival analysis and etc. Plus, we visualized CancerSCEM as a user-friendly web interface for users to browse, search, online analyze and download all the metadata as well as analytical results. More importantly and unprecedentedly, the newly-constructed comprehensive online analyzing platform in CancerSCEM integrates seven analyze functions, where investigators can interactively perform cancer scRNA-seq analyses. In all, CancerSCEM paves an informative and practical way to facilitate human cancer studies, and also provides insights into clinical therapy assessments.

中文翻译:

CancerSCEM:跨各种人类癌症的单细胞表达图数据库

随着单细胞 RNA 测序技术 (scRNA-seq) 对人类癌症的研究不断增多,各种癌症中的细胞异质性、免疫景观和发病机制已陆续被发现。在过去十年中,大规模癌症 scRNA-seq 数据集呈指数级增长,迫切需要整合和处理各种癌症类型的肿瘤微环境的基本研究。为了填补这一空白,我们开发了一个癌症单细胞表达图数据库(CancerSCEM,https://ngdc.cncb.ac.cn/cancerscem),特别关注各种人类癌症。迄今为止,CancerSCE 1.0 版包含 28 项研究和 20 种人类癌症类型的 208 个癌症样本。对每个样本进行了一系列统一和多尺度分析,包括准确的细胞类型注释,功能基因表达、细胞相互作用网络、生存分析等。此外,我们将 CancerSCEM 可视化为用户友好的 Web 界面,供用户浏览、搜索、在线分析和下载所有元数据以及分析结果。更重要且史无前例的是,CancerSCEM 中新构建的综合在线分析平台集成了七种分析功能,研究人员可以在其中交互式地进行癌症 scRNA-seq 分析。总而言之,CancerSCEM 为促进人类癌症研究铺平了信息丰富且实用的方法,并为临床治疗评估提供了见解。在线分析和下载所有元数据以及分析结果。更重要且史无前例的是,CancerSCEM 中新构建的综合在线分析平台集成了七种分析功能,研究人员可以在其中交互式地进行癌症 scRNA-seq 分析。总而言之,CancerSCEM 为促进人类癌症研究铺平了信息丰富且实用的方法,并为临床治疗评估提供了见解。在线分析和下载所有元数据以及分析结果。更重要且史无前例的是,CancerSCEM 中新构建的综合在线分析平台集成了七种分析功能,研究人员可以在其中交互式地进行癌症 scRNA-seq 分析。总而言之,CancerSCEM 为促进人类癌症研究铺平了信息丰富且实用的方法,并为临床治疗评估提供了见解。
更新日期:2021-09-30
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