Luo Jie, Wu Xinyi, Cheng Yuan, Chen Guang, Wang Jian, Song Xijiao
State Key Laboratory for Managing Biotic and Chemical Threats to The Quality and Safety of Agro-products, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Front Genet. 2023 May 22;14:1182579. doi: 10.3389/fgene.2023.1182579. eCollection 2023.
Genome-wide association studies have revealed that the regulation of gene expression bridges genetic variants and complex phenotypes. Profiling of the bulk transcriptome coupled with linkage analysis (expression quantitative trait locus (eQTL) mapping) has advanced our understanding of the relationship between genetic variants and gene regulation in the context of complex phenotypes. However, bulk transcriptomics has inherited limitations as the regulation of gene expression tends to be cell-type-specific. The advent of single-cell RNA-seq technology now enables the identification of the cell-type-specific regulation of gene expression through a single-cell eQTL (sc-eQTL). In this review, we first provide an overview of sc-eQTL studies, including data processing and the mapping procedure of the sc-eQTL. We then discuss the benefits and limitations of sc-eQTL analyses. Finally, we present an overview of the current and future applications of sc-eQTL discoveries.
全基因组关联研究表明,基因表达调控在遗传变异和复杂表型之间架起了桥梁。对大量转录组进行分析并结合连锁分析(表达数量性状位点(eQTL)定位),加深了我们对复杂表型背景下遗传变异与基因调控之间关系的理解。然而,由于基因表达调控往往具有细胞类型特异性,大量转录组学存在固有局限性。单细胞RNA测序技术的出现,现在能够通过单细胞eQTL(sc-eQTL)识别基因表达的细胞类型特异性调控。在这篇综述中,我们首先概述sc-eQTL研究,包括数据处理和sc-eQTL的定位过程。然后我们讨论sc-eQTL分析的优点和局限性。最后,我们概述sc-eQTL发现的当前和未来应用。