The impact of single-cell RNA sequencing on understanding the functional organization of the immune system

被引:16
作者
Vegh, Peter [1 ]
Haniffa, Muzlifah [1 ]
机构
[1] Newcastle Univ, Inst Cellular Med, Newcastle Upon Tyne NE2 4HH, Tyne & Wear, England
基金
英国惠康基金;
关键词
RNA-seq; single-cell; monocyte; macrophage; dendritic cell; lymphocyte; INNATE LYMPHOID-CELLS; GENE-EXPRESSION DATA; REGULATORY NETWORK INFERENCE; T-CELLS; TRANSCRIPTIONAL HETEROGENEITY; HIGH-THROUGHPUT; SEQ DATA; HI-C; DIFFERENTIATION; PROGENITOR;
D O I
10.1093/bfgp/ely003
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Application of single-cell genomics technologies has revolutionized our approach to study the immune system. Unravelling the functional diversity of immune cells and their coordinated response is key to understanding immunity. Single-cell transcriptomics technologies provide high-dimensional assessment of the transcriptional states of immune cells and have been successfully applied to discover new immune cell types, reveal haematopoietic lineages, identify gene modules dictating immune responses and investigate lymphocyte antigen receptor diversity. In this review, we discuss the impact and applications of single-cell RNA sequencing technologies in immunology.
引用
收藏
页码:265 / 272
页数:8
相关论文
共 50 条
[11]   Mouse Corneal Immune Cell Heterogeneity Revealed by Single-Cell RNA Sequencing [J].
Yaman, Ebru ;
Heyer, Nicole ;
de Paiva, Cintia S. ;
Stepp, Mary Ann ;
Pflugfelder, Stephen C. ;
Alam, Jehan .
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2024, 65 (12)
[12]   Single-cell RNA sequencing of immune cells in gastric cancer patients [J].
Fu, Kai ;
Hui, Bingqing ;
Wang, Qian ;
Lu, Chen ;
Shi, Weihong ;
Zhang, Zhigang ;
Rong, Dawei ;
Zhang, Betty ;
Tian, Zhaofeng ;
Tang, Weiwei ;
Cao, Hongyong ;
Wang, Xuehao ;
Chen, Ziyi .
AGING-US, 2020, 12 (03) :2747-2763
[13]   Dissecting the human immune system with single cell RNA sequencing technology [J].
Xu, Gang ;
Liu, Yang ;
Li, Hanjie ;
Liu, Lei ;
Zhang, Shuye ;
Zhang, Zheng .
JOURNAL OF LEUKOCYTE BIOLOGY, 2020, 107 (04) :613-623
[14]   Single-cell RNA Sequencing in Immunology [J].
Cao, Yirui ;
Qiu, Yue ;
Tu, Guowei ;
Yang, Cheng .
CURRENT GENOMICS, 2020, 21 (08) :564-575
[15]   SAREV: A review on statistical analytics of single-cell RNA sequencing data [J].
Ellis, Dorothy ;
Wu, Dongyuan ;
Datta, Susmita .
WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS, 2022, 14 (04)
[16]   Splatter: simulation of single-cell RNA sequencing data [J].
Zappia, Luke ;
Phipson, Belinda ;
Oshlack, Alicia .
GENOME BIOLOGY, 2017, 18
[17]   Splatter: simulation of single-cell RNA sequencing data [J].
Luke Zappia ;
Belinda Phipson ;
Alicia Oshlack .
Genome Biology, 18
[18]   Single-cell RNA sequencing reveals the heterogeneity of liver-resident immune cells in human [J].
Zhao, Juanjuan ;
Zhang, Shuye ;
Liu, Yang ;
He, Xiaomeng ;
Qu, Mengmeng ;
Xu, Gang ;
Wang, Hongbo ;
Huang, Man ;
Pan, Jing ;
Liu, Zhenwen ;
Li, Zhiwei ;
Liu, Lei ;
Zhang, Zheng .
CELL DISCOVERY, 2020, 6 (01)
[19]   Recent developments in application of single-cell RNA sequencing in the tumour immune microenvironment and cancer therapy [J].
Li, Pei-Heng ;
Kong, Xiang-Yu ;
He, Ya-Zhou ;
Liu, Yi ;
Peng, Xi ;
Li, Zhi-Hui ;
Xu, Heng ;
Luo, Han ;
Park, Jihwan .
MILITARY MEDICAL RESEARCH, 2022, 9 (01)
[20]   Deciphering the functional heterogeneity of skin fibroblasts using single-cell RNA sequencing [J].
Vorstandlechner, Vera ;
Laggner, Maria ;
Kalinina, Polina ;
Haslik, Werner ;
Radtke, Christine ;
Shaw, Lisa ;
Lichtenberger, Beate Maria ;
Tschachler, Erwin ;
Ankersmit, Hendrik Jan ;
Mildner, Michael .
FASEB JOURNAL, 2020, 34 (03) :3677-3692