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

IF 4.3 3区材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-03-09 DOI:10.1093/database/baae010

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

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Abstract

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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SingleQ：跨人体组织的单细胞表达定量性状位点（sc-eQTLs）综合数据库。

表达量性状位点（eQTLs）和其他分子 QTLs 的绘图有助于确定疾病相关遗传变异的作用模式。然而，目前的 eQTL 数据库提供的数据来自大量 RNA-seq 方法，无法揭示细胞类型和环境对疾病相关遗传变异的特异性调控。在这里，我们介绍我们的单细胞eQTL互动数据库，该数据库收集单细胞eQTL（sc-eQTL）数据集，并以用户友好的方式提供跨不同细胞类型的sc-eQTL在线可视化。虽然 sc-eQTL 图谱绘制仍处于早期阶段，但我们的数据库收集了迄今为止发表的最全面的 sc-eQTL 统计摘要。sc-eQTL 研究彻底改变了我们对特定细胞环境中基因调控的理解，我们预计我们的数据库将进一步加速功能基因组学的研究。数据库网址：http://www.sqraolab.com/scqtl.

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