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Single-cell immunology of SARS-CoV-2 infection.
Tian, Yuan; Carpp, Lindsay N; Miller, Helen E R; Zager, Michael; Newell, Evan W; Gottardo, Raphael.
Afiliação
  • Tian Y; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Carpp LN; Translational Data Science Integrated Research Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Miller HER; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Zager M; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Newell EW; Center for Data Visualization, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Gottardo R; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA. enewell@fredhutch.org.
Nat Biotechnol ; 40(1): 30-41, 2022 01.
Article em En | MEDLINE | ID: mdl-34931002
ABSTRACT
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise de Célula Única / Conjuntos de Dados como Assunto / Visualização de Dados / SARS-CoV-2 / COVID-19 / Imunidade Inata Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise de Célula Única / Conjuntos de Dados como Assunto / Visualização de Dados / SARS-CoV-2 / COVID-19 / Imunidade Inata Idioma: En Ano de publicação: 2022 Tipo de documento: Article