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suck abstract from ncbi


10.1038/s41587-021-01131-y

http://scihub22266oqcxt.onion/10.1038/s41587-021-01131-y
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34931002!9414121!34931002
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suck abstract from ncbi

pmid34931002      Nat+Biotechnol 2022 ; 40 (1): 30-41
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  • Single-cell immunology of SARS-CoV-2 infection #MMPMID34931002
  • Tian Y; Carpp LN; Miller HER; Zager M; Newell EW; Gottardo R
  • Nat Biotechnol 2022[Jan]; 40 (1): 30-41 PMID34931002show ga
  • 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.
  • |*Data Visualization[MESH]
  • |*Datasets as Topic[MESH]
  • |*Immunity, Innate[MESH]
  • |*Single-Cell Analysis[MESH]
  • |Animals[MESH]
  • |COVID-19/genetics/*immunology/*pathology[MESH]
  • |Data Analysis[MESH]
  • |Humans[MESH]
  • |SARS-CoV-2/*immunology[MESH]


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