DRCTdb: disease-related cell type analysis to decode cell type effect and underlying regulatory mechanisms

文献类型： 外文期刊

第一作者： Kong, Yunhui

作者： Kong, Yunhui;Qin, Sheng;Kong, Yunhui;Jiang, Junyao;Kong, Weikang;Qin, Sheng

作者机构：

期刊名称：COMMUNICATIONS BIOLOGY （ 影响因子：5.1； 五年影响因子：5.8 ）

ISSN：

年卷期： 2024 年 7 卷 1 期

页码：

收录情况： SCI

摘要： Understanding the molecular mechanisms underlying genetic diseases is challenging due to environmental and genetic factors. Genome-wide association studies (GWAS) have identified numerous genetic loci, but their functional implications are largely unknown. Single-cell multiomics sequencing has emerged as a powerful tool to study disease-specific cell types and their relationship with genetic variants. However, comprehensive databases for exploring these mechanisms across different tissues are lacking. We present the Disease-Related Cell Type database (DRCTdb), integrating GWAS and single-cell multiomics data to identify disease-related cell types and elucidate their regulatory mechanisms. DRCTdb contains well-processed data from 16 studies, covering 4 million cells within 28 tissues. Users can browse relationships and regulatory mechanisms between SNPs of 42 genetic diseases and cell types based on GWAS and single-cell data. DRCTdb also offers data downloads and is available at https://singlecellatlas.top/DRCTDB. By integrating GWAS with single-cell data from 4 million cells across 28 tissues, DRCTdb database (https://singlecellatlas.top/DRCTDB) can help users explore disease-related cell types and regulatory mechanisms for 42 genetic diseases.

分类号：

  • 相关文献
作者其他论文 更多>>

微信小程序