CeDR Atlas: a knowledgebase of cellular drug response

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 highthroughput profiling of drug-induced gene expression available through the ConnectivityMap 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.

Automated summary

CeDR Atlas is a knowledgebase reporting computational inference of cellular drug response for various cell types, fine mapping drug response at cellular resolution and providing insights for the design of effective treatments. Through the use of high-throughput profiling of drug-induced gene expression and single-cell RNA sequencing data, it presents results for hundreds of cell types from different tissues and diseases, allowing exploration and search by keywords for drugs, cell types, tissues, diseases, and signature genes.