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| On the cover: The rising in the popularity of big data, artificial intelligence, and simulation technologies has opened up new opportunities for the development of our society. The close integration of real and artificial societies has become a trend, bringing in novel concepts such as parallel society and metaverse. The artificial society system describes, predicts, and guides the real society system, in a closed-loop, iterative, and spiral-rising way, forming a new mode of social operation driven by Data-AI-Simulation techniques. In the future, with the further development of interdisciplinary cooperation and the continuous advancement of technologies, living in metaverse is within reach. |
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| Position: Home > issue > September 13, 2022 Volume 3, Issue 5 |
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| Delineating COVID-19 immunological features using single-cell RNA sequencing |
Category: Review Download:  PDF  Figure  Endnote |
| Author: Wendao Liu, Johnathan Jia, Yulin Dai, Wenhao Chen, Guangsheng Pei, Qiheng Yan, Zhongming Zhao |
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Graphical abstract
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.
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