TY - JOUR
T1 - Delineating COVID-19 immunological features using single-cell RNA sequencing
AU - Liu, Wendao
AU - Jia, Johnathan
AU - Dai, Yulin
AU - Chen, Wenhao
AU - Pei, Guangsheng
AU - Yan, Qiheng
AU - Zhao, Zhongming
N1 - Publisher Copyright:
© 2022 The Author(s)
PY - 2022/9/13
Y1 - 2022/9/13
N2 - Understanding the molecular mechanisms of coronavirus disease 2019 (COVID-19) pathogenesis and immune response is vital for developing therapies. Single-cell RNA sequencing has been applied to delineate the cellular heterogeneity of the host response toward COVID-19 in multiple tissues and organs. Here, we review the applications and findings from over 80 original COVID-19 single-cell RNA sequencing studies as well as many secondary analysis studies. We describe that single-cell RNA sequencing reveals multiple features of COVID-19 patients with different severity, including cell populations with proportional alteration, COVID-19-induced genes and pathways, severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection in single cells, and adaptation of immune repertoire. We also collect published single-cell RNA sequencing datasets from original studies. Finally, we discuss the limitations in current studies and perspectives for future advance.
AB - Understanding the molecular mechanisms of coronavirus disease 2019 (COVID-19) pathogenesis and immune response is vital for developing therapies. Single-cell RNA sequencing has been applied to delineate the cellular heterogeneity of the host response toward COVID-19 in multiple tissues and organs. Here, we review the applications and findings from over 80 original COVID-19 single-cell RNA sequencing studies as well as many secondary analysis studies. We describe that single-cell RNA sequencing reveals multiple features of COVID-19 patients with different severity, including cell populations with proportional alteration, COVID-19-induced genes and pathways, severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection in single cells, and adaptation of immune repertoire. We also collect published single-cell RNA sequencing datasets from original studies. Finally, we discuss the limitations in current studies and perspectives for future advance.
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U2 - 10.1016/j.xinn.2022.100289
DO - 10.1016/j.xinn.2022.100289
M3 - Review article
C2 - 35879967
AN - SCOPUS:85135715126
SN - 2666-6758
VL - 3
JO - Innovation
JF - Innovation
IS - 5
M1 - 100289
ER -