{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T03:32:22Z","timestamp":1777347142567,"version":"3.51.4"},"reference-count":49,"publisher":"Oxford University Press (OUP)","issue":"D1","license":[{"start":{"date-parts":[[2021,10,11]],"date-time":"2021-10-11T00:00:00Z","timestamp":1633910400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002367","name":"Chinese Academy of Sciences","doi-asserted-by":"publisher","award":["XDB38010400"],"award-info":[{"award-number":["XDB38010400"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002367","name":"Chinese Academy of Sciences","doi-asserted-by":"publisher","award":["KFJ-STS-QYZD-2021-08-001"],"award-info":[{"award-number":["KFJ-STS-QYZD-2021-08-001"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002367","name":"Chinese Academy of Sciences","doi-asserted-by":"publisher","award":["WX145XQ07-04"],"award-info":[{"award-number":["WX145XQ07-04"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,1,7]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>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.<\/jats:p>","DOI":"10.1093\/nar\/gkab897","type":"journal-article","created":{"date-parts":[[2021,9,24]],"date-time":"2021-09-24T13:39:48Z","timestamp":1632490788000},"page":"D1164-D1171","source":"Crossref","is-referenced-by-count":34,"title":["CeDR Atlas: a knowledgebase of cellular drug response"],"prefix":"10.1093","volume":"50","author":[{"given":"Yin-Ying","family":"Wang","sequence":"first","affiliation":[{"name":"CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"China National Center for Bioinformation, Beijing 100101, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongen","family":"Kang","sequence":"additional","affiliation":[{"name":"CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"China National Center for Bioinformation, Beijing 100101, China"},{"name":"National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianyi","family":"Xu","sequence":"additional","affiliation":[{"name":"China National Center for Bioinformation, Beijing 100101, China"},{"name":"National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3432-7151","authenticated-orcid":false,"given":"Lili","family":"Hao","sequence":"additional","affiliation":[{"name":"China National Center for Bioinformation, Beijing 100101, China"},{"name":"National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiming","family":"Bao","sequence":"additional","affiliation":[{"name":"China National Center for Bioinformation, Beijing 100101, China"},{"name":"National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4523-4153","authenticated-orcid":false,"given":"Peilin","family":"Jia","sequence":"additional","affiliation":[{"name":"CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"China National Center for Bioinformation, Beijing 100101, China"},{"name":"National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2021,10,11]]},"reference":[{"key":"2022010507330225500_B1","doi-asserted-by":"crossref","first-page":"41113","DOI":"10.18632\/oncotarget.17064","article-title":"Evidence of drug-response heterogeneity rapidly generated from a single cancer cell","volume":"8","author":"Wang","year":"2017","journal-title":"Oncotarget"},{"key":"2022010507330225500_B2","doi-asserted-by":"crossref","first-page":"D545","DOI":"10.1093\/nar\/gkz764","article-title":"GMrepo: a database of curated and consistently annotated human gut metagenomes","volume":"48","author":"Wu","year":"2020","journal-title":"Nucleic Acids Res."},{"key":"2022010507330225500_B3","doi-asserted-by":"crossref","first-page":"D783","DOI":"10.1093\/nar\/gkaa869","article-title":"mMGE: a database for human metagenomic extrachromosomal mobile genetic elements","volume":"49","author":"Lai","year":"2021","journal-title":"Nucleic Acids Res."},{"key":"2022010507330225500_B4","doi-asserted-by":"crossref","first-page":"559","DOI":"10.1016\/j.cell.2010.04.033","article-title":"Cellular heterogeneity: do differences make a difference","volume":"141","author":"Altschuler","year":"2010","journal-title":"Cell"},{"key":"2022010507330225500_B5","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1038\/nrclinonc.2017.166","article-title":"Tumour heterogeneity and resistance to cancer therapies","volume":"15","author":"Dagogo-Jack","year":"2018","journal-title":"Nat. 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