Delineating COVID-19 immunological features using single-cell RNA sequencing.
Delineating COVID-19 immunological features using single-cell RNA sequencing.
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DOI：
10.1016/j.xinn.2022.100289
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发表时间：
2022-09-13
期刊：
影响因子：
32.1
通讯作者：
Zhao, Zhongming
中科院分区：
文献类型：
--
作者：
Liu, Wendao;Jia, Johnathan;Dai, Yulin;Chen, Wenhao;Pei, Guangsheng;Yan, Qiheng;Zhao, Zhongming
了解冠状病毒病2019(新冠肺炎)发病机制和免疫反应的分子机制对于开发治疗方法至关重要。单细胞核糖核酸测序已经被应用于描绘多个组织和器官中宿主对新冠肺炎反应的细胞异质性。在这里，我们回顾了80多个原始的新冠肺炎单细胞核糖核酸测序研究以及许多二次分析研究的应用和结果。我们描述了单细胞核酸测序揭示了不同严重程度的新冠肺炎患者的多种特征，包括细胞比例变化、新冠肺炎诱导的基因和途径、单细胞感染严重急性呼吸综合征冠状病毒(SARS-CoV-2)以及免疫系统的适应性。我们还从原始研究中收集已发表的单细胞RNA测序数据集。最后，我们讨论了当前研究的局限性和对未来发展的展望。单细胞核酸测序是新冠肺炎研究中的一项强有力的生物技术，它揭示了SARS-CoV-2致病机理和宿主免疫应答的多种特征，单细胞免疫图谱表征了新冠肺炎的获得性免疫应答，B细胞受体分析加速了中和抗体的鉴定
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. Single-cell RNA sequencing is a powerful biotechnology in COVID-19 research It reveals multiple features of SARS-CoV-2 pathogenesis and host immune response Single-cell immune profiling characterizes the adaptive immune response in COVID-19 Analysis of B cell receptors accelerates the neutralizing antibody identification
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影响因子：
32.4
作者：
Dugan HL;Stamper CT;Li L;Changrob S;Asby NW;Halfmann PJ;Zheng NY;Huang M;Shaw DG;Cobb MS;Erickson SA;Guthmiller JJ;Stovicek O;Wang J;Winkler ES;Madariaga ML;Shanmugarajah K;Jansen MO;Amanat F;Stewart I;Utset HA;Huang J;Nelson CA;Dai YN;Hall PD;Jedrzejczak RP;Joachimiak A;Krammer F;Diamond MS;Fremont DH;Kawaoka Y;Wilson PC
通讯作者：
Wilson PC
通过libla-seq在康复covid-19患者中的SARS-COV-2特异性记忆B细胞的快速分离和免疫分析。
影响因子：
39.3
作者：
He B;Liu S;Wang Y;Xu M;Cai W;Liu J;Bai W;Ye S;Ma Y;Hu H;Meng H;Sun T;Li Y;Luo H;Shi M;Du X;Zhao W;Chen S;Yang J;Zhu H;Jie Y;Yang Y;Guo D;Wang Q;Liu Y;Yan H;Wang M;Chen YQ
通讯作者：
Chen YQ
影响因子：
64.8
作者：
Delorey TM;Ziegler CGK;Heimberg G;Normand R;Yang Y;Segerstolpe Å;Abbondanza D;Fleming SJ;Subramanian A;Montoro DT;Jagadeesh KA;Dey KK;Sen P;Slyper M;Pita-Juárez YH;Phillips D;Biermann J;Bloom-Ackermann Z;Barkas N;Ganna A;Gomez J;Melms JC;Katsyv I;Normandin E;Naderi P;Popov YV;Raju SS;Niezen S;Tsai LT;Siddle KJ;Sud M;Tran VM;Vellarikkal SK;Wang Y;Amir-Zilberstein L;Atri DS;Beechem J;Brook OR;Chen J;Divakar P;Dorceus P;Engreitz JM;Essene A;Fitzgerald DM;Fropf R;Gazal S;Gould J;Grzyb J;Harvey T;Hecht J;Hether T;Jané-Valbuena J;Leney-Greene M;Ma H;McCabe C;McLoughlin DE;Miller EM;Muus C;Niemi M;Padera R;Pan L;Pant D;Pe'er C;Pfiffner-Borges J;Pinto CJ;Plaisted J;Reeves J;Ross M;Rudy M;Rueckert EH;Siciliano M;Sturm A;Todres E;Waghray A;Warren S;Zhang S;Zollinger DR;Cosimi L;Gupta RM;Hacohen N;Hibshoosh H;Hide W;Price AL;Rajagopal J;Tata PR;Riedel S;Szabo G;Tickle TL;Ellinor PT;Hung D;Sabeti PC;Novak R;Rogers R;Ingber DE;Jiang ZG;Juric D;Babadi M;Farhi SL;Izar B;Stone JR;Vlachos IS;Solomon IH;Ashenberg O;Porter CBM;Li B;Shalek AK;Villani AC;Rozenblatt-Rosen O;Regev A
通讯作者：
Regev A
影响因子：
9.5
作者：
Jin, Xiyun;Zhou, Wenyang;Jiang, Qinghua
通讯作者：
Jiang, Qinghua
影响因子：
48
作者：
Browaeys, Robin;Saelens, Wouter;Saeys, Yvan
通讯作者：
Saeys, Yvan