Single-cell analytical technologies: uncovering the mechanisms behind variations in immune responses

被引:1
作者
Kashima, Yukie [1 ]
Reteng, Patrick [2 ]
Haga, Yasuhiko [1 ]
Yamagishi, Junya [2 ]
Suzuki, Yutaka [1 ]
机构
[1] Univ Tokyo, Grad Sch Frontier Sci, Dept Computat Biol & Med Sci, Kashiwa, Chiba, Japan
[2] Hokkaido Univ, Int Inst Zoonosis Control, Div Collaborat & Educ, Sapporo, Hokkaido, Japan
关键词
B cell receptor; immune response; individual variations; influenza vaccination; personalized medication; SARS-CoV-2; vaccination; single-cell analysis; T cell receptor; TRANSCRIPTOMICS; EXPRESSION; INFECTION; PROTEINS; COVID-19; DISEASES; REVEAL; SYSTEM; BLOOD; SEQ;
D O I
10.1111/febs.16622
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The immune landscape varies among individuals. It determines the immune response and results in surprisingly diverse symptoms, even in response to similar external stimuli. However, the detailed mechanisms underlying such diverse immune responses have remained mostly elusive. The utilization of recently developed single-cell multimodal analysis platforms has started to answer this question. Emerging studies have elucidated several molecular networks that may explain diversity with respect to age or other factors. An elaborate interplay between inherent physical conditions and environmental conditions has been demonstrated. Furthermore, the importance of modifications by the epigenome resulting in transcriptome variation among individuals is gradually being revealed. Accordingly, epigenomes and transcriptomes are direct indicators of the medical history and dynamic interactions with environmental factors. Coronavirus disease 2019 (COVID-19) has recently become one of the most remarkable examples of the necessity of in-depth analyses of diverse responses with respect to various factors to improve treatment in severe cases and to prevent viral transmission from asymptomatic carriers. In fact, determining why some patients develop serious symptoms is still a pressing issue. Here, we review the current "state of the art" in single-cell analytical technologies and their broad applications to healthy individuals and representative diseases, including COVID-19.
引用
收藏
页码:819 / 831
页数:13
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