ArticleNucleic acids research2022
CeDR Atlas: a knowledgebase of cellular drug response.
Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Genetic analyses of inflammatory polyneuropathy and chronic inflammatory demyelinating polyradiculoneuropathy identified candidate genes.HGG advances · 2024Pooled it
- Decoding drug-responsive cell subpopulations in triple-negative breast cancer using single-cell multiomics.iScience · 2026Article
- scDrugAtlas: an integrative single-cell drug response database for dissecting tumour heterogeneity in therapeutic efficacy.Database : the journal of biological databases and curation · 2026Article
- Harnessing AI to fuse phenotypic signatures for drug target identification: progress in computational modeling.Briefings in bioinformatics · 2026Review
- Aging and sinus node dysfunction: mechanisms and future directions.Clinical science (London, England : 1979) · 2025Review
- Machine learning to dissect perturbations in complex cellular systems.Computational and structural biotechnology journal · 2025Review
- Considerations for building and using integrated single-cell atlases.Nature methods · 2025Review
- Leveraging explainable deep learning methodologies to elucidate the biological underpinnings of Huntington's disease using single-cell RNA sequencing data.BMC genomics · 2024Article
- Contextual AI models for single-cell protein biology.Nature methods · 2024Article
- Contextual AI models for single-cell protein biology.bioRxiv : the preprint server for biology · 2024Article
- Drug targeting in psychiatric disorders - how to overcome the loss in translation?Nature reviews. Drug discovery · 2024Review
- VIBRANT: spectral profiling for single-cell drug responses.Nature methods · 2024Article
- DRMref: comprehensive reference map of drug resistance mechanisms in human cancer.Nucleic acids research · 2024Article
- PharmGWAS: a GWAS-based knowledgebase for drug repurposing.Nucleic acids research · 2024Article
- Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2024.Nucleic acids research · 2024Article
- Innovative aspects and applications of single cell technology for different diseases.American journal of cancer research · 2024Review
- Article
- Article
- ChemPert: mapping between chemical perturbation and transcriptional response for non-cancer cells.Nucleic acids research · 2023Article
- Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2023.Nucleic acids research · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.