SingleQ: a comprehensive database of single-cell expression quantitative trait loci (sc-eQTLs) cross human tissues

Zhiwei Zhou, Jingyi Du,Jianhua Wang, Liangyi Liu, M. Gracie Gordon, Chun Jimmie Ye,Joseph E. Powell,Mulin Jun Li,Shuquan Rao

DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION(2024)

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摘要
Mapping of expression quantitative trait loci (eQTLs) and other molecular QTLs can help characterize the modes of action of disease-associated genetic variants. However, current eQTL databases present data from bulk RNA-seq approaches, which cannot shed light on the cell type- and environment-specific regulation of disease-associated genetic variants. Here, we introduce our Single-cell eQTL Interactive Database which collects single-cell eQTL (sc-eQTL) datasets and provides online visualization of sc-eQTLs across different cell types in a user-friendly manner. Although sc-eQTL mapping is still in its early stage, our database curates the most comprehensive summary statistics of sc-eQTLs published to date. sc-eQTL studies have revolutionized our understanding of gene regulation in specific cellular contexts, and we anticipate that our database will further accelerate the research of functional genomics.Database URL: http://www.sqraolab.com/scqtl
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