Drug response to many diseases varies dramatically due to the complex genomics and functional features and contexts. Cellular diversity of human tissues, especially tumors, is one of the major contributing factors to the different drug response in different samples. With the accumulation of single-cell RNA sequencing (scRNA-seq) data, it is now possible to study the drug response to different treatments at the single cell resolution. Here, we present CeDR Atlas (available at https://ngdc.cncb.ac.cn/cedr), a knowledgebase reporting computational inference of cellular drug response for hundreds of cell types from various tissues. We took advantage of the high-throughput profiling of drug-induced gene expression available through the Connectivity Map resource (CMap) as well as hundreds of scRNA-seq data covering cells from a wide variety of organs/tissues, diseases, and conditions. Currently, CeDR maintains the results for more than 582 single cell data objects for human, mouse and cell lines, including about 140 phenotypes and 1250 tissue-cell combination types. All the results can be explored and searched by keywords for drugs, cell types, tissues, diseases, and signature genes. Overall, CeDR fine maps drug response at cellular resolution and sheds lights on the design of combinatorial treatments, drug resistance and even drug side effects.

中文翻译：

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CeDR Atlas：细胞药物反应的知识库

由于复杂的基因组学和功能特征和背景，药物对许多疾病的反应差异很大。人体组织，尤其是肿瘤的细胞多样性是导致不同样本中药物反应不同的主要因素之一。随着单细胞 RNA 测序 (scRNA-seq) 数据的积累，现在可以在单细胞分辨率下研究药物对不同治疗的反应。在这里，我们展示了 CeDR Atlas（可在 https://ngdc.cncb.ac.cn/cedr 获得），这是一个知识库，报告了对来自不同组织的数百种细胞类型的细胞药物反应的计算推断。我们利用了可通过连接图资源 (CMap) 获得的药物诱导基因表达的高通量分析以及涵盖来自各种器官/组织、疾病和条件的细胞的数百个 scRNA-seq 数据。目前，CeDR 维护了超过 582 个人类、小鼠和细胞系的单细胞数据对象的结果，包括约 140 种表型和 1250 种组织细胞组合类型。所有结果都可以通过药物、细胞类型、组织、疾病和特征基因的关键字进行探索和搜索。总体而言，CeDR 以细胞分辨率精细地绘制药物反应图，并阐明组合治疗、耐药性甚至药物副作用的设计。小鼠和细胞系，包括大约 140 种表型和 1250 种组织细胞组合类型。所有结果都可以通过药物、细胞类型、组织、疾病和特征基因的关键字进行探索和搜索。总体而言，CeDR 以细胞分辨率精细地绘制药物反应图，并阐明组合治疗、耐药性甚至药物副作用的设计。小鼠和细胞系，包括大约 140 种表型和 1250 种组织细胞组合类型。所有结果都可以通过药物、细胞类型、组织、疾病和特征基因的关键字进行探索和搜索。总体而言，CeDR 以细胞分辨率精细地绘制药物反应图，并阐明组合治疗、耐药性甚至药物副作用的设计。