Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Translational Data Science Integrated Research Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Nat Biotechnol. 2022 Jan;40(1):30-41. doi: 10.1038/s41587-021-01131-y. Epub 2021 Dec 20.
Gaining a better understanding of the immune cell subsets and molecular factors associated with protective or pathological immunity against severe acute respiratory syndrome coronavirus (SARS-CoV)-2 could aid the development of vaccines and therapeutics for coronavirus disease 2019 (COVID-19). Single-cell technologies, such as flow cytometry, mass cytometry, single-cell transcriptomics and single-cell multi-omic profiling, offer considerable promise in dissecting the heterogeneity of immune responses among individual cells and uncovering the molecular mechanisms of COVID-19 pathogenesis. Single-cell immune-profiling studies reported to date have identified innate and adaptive immune cell subsets that correlate with COVID-19 disease severity, as well as immunological factors and pathways of potential relevance to the development of vaccines and treatments for COVID-19. For facilitation of integrative studies and meta-analyses into the immunology of SARS-CoV-2 infection, we provide standardized, download-ready versions of 21 published single-cell sequencing datasets (over 3.2 million cells in total) as well as an interactive visualization portal for data exploration.
深入了解与严重急性呼吸综合征冠状病毒 (SARS-CoV-2) 保护性或病理性免疫相关的免疫细胞亚群和分子因素，可能有助于开发针对 2019 年冠状病毒病 (COVID-19) 的疫苗和疗法。单细胞技术，如流式细胞术、质谱流式细胞术、单细胞转录组学和单细胞多组学分析，为剖析个体细胞中免疫反应的异质性和揭示 COVID-19 发病机制的分子机制提供了巨大的潜力。迄今为止报告的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学因素和途径。为了促进 SARS-CoV-2 感染免疫学的综合研究和荟萃分析，我们提供了 21 个已发表的单细胞测序数据集的标准化、可下载版本（总计超过 320 万个细胞），以及一个用于数据探索的交互式可视化门户。
