CeDR Atlas: a knowledgebase of cellular drug response

Area of Science:

• Genomics
• Pharmacology
• Bioinformatics

Background:

• Drug response varies significantly due to cellular and genomic complexity.
• Tumor and tissue cellular diversity is a key factor in differential drug efficacy.
• Single-cell RNA sequencing (scRNA-seq) enables high-resolution analysis of cellular drug responses.

Purpose of the Study:

• To present CeDR Atlas, a knowledgebase for computational inference of cellular drug response.
• To provide a resource for exploring drug effects across diverse cell types and tissues.
• To facilitate understanding of drug response mechanisms at the single-cell level.

Main Methods:

• Integrated high-throughput drug-induced gene expression data (Connectivity Map) with scRNA-seq datasets.
• Developed computational methods for inferring cellular drug responses.
• Curated and organized data for human, mouse, and cell lines.

Main Results:

• CeDR Atlas includes data for over 582 single-cell objects, covering 140 phenotypes and 1250 tissue-cell combinations.
• The database allows searching by drugs, cell types, tissues, diseases, and signature genes.
• Provides cellular-resolution insights into drug effects across various biological contexts.

Conclusions:

• CeDR Atlas maps drug response at cellular resolution, offering valuable insights.
• The resource can inform the design of combinatorial treatments and strategies for drug resistance.
• Facilitates research into drug side effects and personalized therapeutic approaches.