scDrugAct

ScDrugAct aims to establish connections among drugs, genes and cells and dissect the impact of TME cellular heterogeneity on drug action and resistance at single-cell resolution. ScDrugAct is curated with drug-cell connections between 3,838,223 cells across 34 cancer types and 13,857 drugs and identifies 17,274 drug perturbation/resistance-related genes and 276,559 associations between >10,000 drugs and 53 cell types. ScDrugAct also provides multiple flexible tools to retrieve and analyze connections among drugs, genes and cells; the distribution and developmental trajectories of drug-associated cells within the TME; functional features affecting the heterogeneity of cellular responses to drug perturbation and drug resistance; the cell-specific drug-related gene network; and drug-drug similarities.ScDrugAct 旨在构建药物、基因与细胞之间的关联网络，并在单细胞分辨率（single-cell resolution）下解析肿瘤微环境（Tumor Microenvironment, TME）的细胞异质性对药物作用及耐药性的影响。该数据集经专业注释整理，纳入了覆盖34种癌症、13857种药物的3838223个细胞的药物-细胞关联数据，共鉴定得到17274个药物扰动/耐药相关基因，以及超过10000种药物与53种细胞类型之间的276559条关联。ScDrugAct 还配备了多种灵活易用的分析工具，可用于检索并分析以下内容：药物、基因与细胞间的关联；肿瘤微环境中药物相关细胞的分布特征与发育轨迹；影响细胞对药物扰动应答异质性与耐药性的功能特征；细胞特异性药物相关基因网络；以及药物-药物相似性。

搜集汇总

背景与挑战

背景概述

scDrugAct是一个综合数据库，旨在通过单细胞分辨率揭示肿瘤微环境中细胞异质性对药物作用与耐药性的影响。它整合了来自34种癌症类型的超过380万个细胞、近1.4万种药物及大量药物相关基因，建立了药物与细胞类型间的广泛关联。该数据库还提供多种交互工具，支持对药物、基因和细胞之间关联的检索、可视化及深入分析。