CeDR Atlas

CeDR Atlas maps cellular drug responses across diverse cell types and tissues by integrating single-cell RNA sequencing (scRNA-seq) data with Connectivity Map (CMap) drug-induced gene expression profiles to enable cell-type-resolved inference of drug effects.

Key Features:

• Single-Cell Resolution Analysis: Uses single-cell RNA sequencing (scRNA-seq) data to resolve drug responses at the level of individual cells.
• Extensive Data Integration: Integrates CMap drug-induced gene expression profiles with over 582 scRNA-seq datasets spanning human, mouse, and cell line samples and covering approximately 140 phenotypes and 1,250 tissue-cell combinations.
• Computational Inference of Drug Response: Employs computational methods to infer cellular drug responses across organs, tissues, diseases, and conditions.
• Signature Gene Association: Identifies signature genes associated with drug responses for downstream analysis.

Scientific Applications:

• Drug Development and Personalized Medicine: Maps cell-type-specific drug responses to inform design of combinatorial treatments and context-specific therapeutic strategies.
• Understanding Drug Resistance: Enables investigation of mechanisms underlying drug resistance by resolving response heterogeneity at single-cell resolution.
• Side Effect Prediction: Associates drug response signature genes with potential side effects to inform safer drug design and usage.

Methodology:

Integrates scRNA-seq datasets with Connectivity Map (CMap) drug-induced gene expression profiles and applies computational inference to derive cell-type-resolved drug response signatures.