Single-cell immunology of SARS-CoV-2 infection.
Single-cell immunology of SARS-CoV-2 infection.
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DOI：
10.1038/s41587-021-01131-y
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发表时间：
2022-01
影响因子：
46.9
通讯作者：
Gottardo, Raphael
中科院分区：
文献类型：
--
作者：
Tian, Yuan;Carpp, Lindsay N.;Miller, Helen E. R.;Zager, Michael;Newell, Evan W.;Gottardo, Raphael
更好地了解与SARS-CoV-2的保护性或病理性免疫相关的免疫细胞亚群和分子因素，可以帮助开发冠状病毒疾病（COVID-19）的疫苗和治疗方法。单细胞技术，如流式细胞术、质谱仪、单细胞转录组学和单细胞多组学分析，在剖析单个细胞之间免疫反应的异质性和揭示COVID-19发病机制的分子机制方面提供了相当大的希望。特别值得注意的是，单细胞免疫分析研究已经确定了与COVID-19疾病严重程度相关的先天性和适应性免疫细胞亚群，以及与COVID-19疫苗和治疗开发潜在相关的免疫因子/途径。为了促进综合研究和荟萃分析，我们以可下载的标准化表格21向科学研究界提供已发表的单细胞测序数据集（总计超过320万个细胞），以及用于数据探索的交互式可视化门户。
Gaining a better understanding of the immune cell subsets and molecular factors associated with protective or pathological immunity against SARS-CoV-2 could aid the development of vaccines and therapeutics for coronavirus disease (COVID-19). Single-cell technologies, such as flow cytometry, mass cytometry, single-cell transcriptomics and single-cell multiomic profiling, offer considerable promise in dissecting the heterogeneity of immune responses among individual cells and uncovering the molecular mechanisms of COVID-19 pathogenesis. Particularly noteworthy single-cell immune profiling studies have identified innate and adaptive immune cell subsets that correlate with COVID-19 disease severity, as well as immunological factors/pathways of potential relevance to the development of vaccines and treatments for COVID-19. To facilitate integrative studies and meta-analyses, we provide to the scientific research community in download-ready, standardized form 21 published single-cell sequencing datasets (over 3.2 million cells in total), as well as an interactive visualization portal for data exploration.
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DOI：
10.4049/jimmunol.2000583
发表时间：
2020-08-15
期刊：
Journal of immunology (Baltimore, Md. : 1950)
影响因子：
--
作者：
Alsoussi WB;Turner JS;Case JB;Zhao H;Schmitz AJ;Zhou JQ;Chen RE;Lei T;Rizk AA;McIntire KM;Winkler ES;Fox JM;Kafai NM;Thackray LB;Hassan AO;Amanat F;Krammer F;Watson CT;Kleinstein SH;Fremont DH;Diamond MS;Ellebedy AH
通讯作者：
Ellebedy AH
影响因子：
9.4
作者：
Addetia A;Crawford KHD;Dingens A;Zhu H;Roychoudhury P;Huang ML;Jerome KR;Bloom JD;Greninger AL
通讯作者：
Greninger AL
影响因子：
5.4
作者：
Avadhanula, V;Rodriguez, CA;Adderson, EE
通讯作者：
Adderson, EE
影响因子：
48
作者：
Amezquita, Robert A.;Lun, Aaron T. L.;Hicks, Stephanie C.
通讯作者：
Hicks, Stephanie C.
DOI：
10.1126/science.abc6261
发表时间：
2020-09-04
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Arunachalam PS;Wimmers F;Mok CKP;Perera RAPM;Scott M;Hagan T;Sigal N;Feng Y;Bristow L;Tak-Yin Tsang O;Wagh D;Coller J;Pellegrini KL;Kazmin D;Alaaeddine G;Leung WS;Chan JMC;Chik TSH;Choi CYC;Huerta C;Paine McCullough M;Lv H;Anderson E;Edupuganti S;Upadhyay AA;Bosinger SE;Maecker HT;Khatri P;Rouphael N;Peiris M;Pulendran B
通讯作者：
Pulendran B