Expression quantitative trait locus studies in the era of single-cell omics

被引:4
作者
Luo, Jie [1 ]
Wu, Xinyi [2 ]
Cheng, Yuan [2 ]
Chen, Guang [1 ]
Wang, Jian [1 ]
Song, Xijiao [1 ]
机构
[1] Zhejiang Acad Agr Sci, State Key Lab Managing Biot & Chem Threats Qual &, Hangzhou, Peoples R China
[2] Zhejiang Acad Agr Sci, Inst Vegetables, Hangzhou, Peoples R China
关键词
sc-eQTL; cell-type-specific; genetic variants; scRNA-seq; bulk RNA-seq; GENE-EXPRESSION; ANALYSIS REVEALS; VISUALIZATION; DECONVOLUTION; DISCOVERY; DISEASE; RISK;
D O I
10.3389/fgene.2023.1182579
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
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.
引用
收藏
页数:11
相关论文
共 105 条
[1]   Digital cell quantification identifies global immune cell dynamics during influenza infection [J].
Altboum, Zeev ;
Steuerman, Yael ;
David, Eyal ;
Barnett-Itzhaki, Zohar ;
Valadarsky, Liran ;
Keren-Shaul, Hadas ;
Meningher, Tal ;
Mendelson, Ella ;
Mandelboim, Michal ;
Gat-Viks, Irit ;
Amit, Ido .
MOLECULAR SYSTEMS BIOLOGY, 2014, 10 (02)
[2]   A Single-Cell Transcriptomic Map of the Human and Mouse Pancreas Reveals Inter- and Intra-cell Population Structure [J].
Baron, Maayan ;
Veres, Adrian ;
Wolock, Samuel L. ;
Faust, Aubrey L. ;
Gaujoux, Renaud ;
Vetere, Amedeo ;
Ryu, Jennifer Hyoje ;
Wagner, Bridget K. ;
Shen-Orr, Shai S. ;
Klein, Allon M. ;
Melton, Douglas A. ;
Yanai, Itai .
CELL SYSTEMS, 2016, 3 (04) :346-+
[3]  
Brennecke P, 2013, NAT METHODS, V10, P1093, DOI [10.1038/NMETH.2645, 10.1038/nmeth.2645]
[4]   How far from the SNP may the causative genes be? [J].
Brodie, Aharon ;
Azaria, Johnathan Roy ;
Ofran, Yanay .
NUCLEIC ACIDS RESEARCH, 2016, 44 (13) :6046-6054
[5]   Cell-type-specific cis-eQTLs in eight human brain cell types identify novel risk genes for psychiatric and neurological disorders [J].
Bryois, Julien ;
Calini, Daniela ;
Macnair, Will ;
Foo, Lynette ;
Urich, Eduard ;
Ortmann, Ward ;
Iglesias, Victor Alejandro ;
Selvaraj, Suresh ;
Nutma, Erik ;
Marzin, Manuel ;
Amor, Sandra ;
Williams, Anna ;
Castelo-Branco, Goncalo ;
Menon, Vilas ;
De Jager, Philip ;
Malhotra, Dheeraj .
NATURE NEUROSCIENCE, 2022, 25 (08) :1104-+
[6]  
Chambers J.M., 1992, Statistical Methods in S, P95, DOI DOI 10.1201/9780203738535
[7]   Single-Cell RNA-Seq Technologies and Related Computational Data Analysis [J].
Chen, Geng ;
Ning, Baitang ;
Shi, Tieliu .
FRONTIERS IN GENETICS, 2019, 10
[8]   A multicenter study benchmarking single-cell RNA sequencing technologies using reference samples [J].
Chen, Wanqiu ;
Zhao, Yongmei ;
Chen, Xin ;
Yang, Zhaowei ;
Xu, Xiaojiang ;
Bi, Yingtao ;
Chen, Vicky ;
Li, Jing ;
Choi, Hannah ;
Ernest, Ben ;
Tran, Bao ;
Mehta, Monika ;
Kumar, Parimal ;
Farmer, Andrew ;
Mir, Alain ;
Mehra, Urvashi Ann ;
Li, Jian-Liang ;
Moos, Malcolm, Jr. ;
Xiao, Wenming ;
Wang, Charles .
NATURE BIOTECHNOLOGY, 2021, 39 (09) :1103-+
[9]   Comprehensive evaluation of noise reduction methods for single-cell RNA sequencing data [J].
Chu, Shih-Kai ;
Zhao, Shilin ;
Shyr, Yu ;
Liu, Qi .
BRIEFINGS IN BIOINFORMATICS, 2022, 23 (02)
[10]   Benchmarking of cell type deconvolution pipelines for transcriptomics data [J].
Cobos, Francisco Avila ;
Alquicira-Hernandez, Jose ;
Powell, Joseph E. ;
Mestdagh, Pieter ;
De Preter, Katleen .
NATURE COMMUNICATIONS, 2020, 11 (01)