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Single-cell Transcriptome of Bronchoalveolar Lavage Fluid Reveals Dynamic Change of Macrophages During SARS-CoV-2 Infection in Ferrets
Jeong Seok Lee; June-Young Koh; Kijong Yi; Young-Il Kim; Su-Jin Park; Eun-Ha Kim; Se-Mi Kim; Sung Ho Park; Young Seok Ju; Young Ki Choi; Su-Hyung Park.
Afiliação
  • Jeong Seok Lee; GENOME INSIGHT Inc.
  • June-Young Koh; Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST)
  • Kijong Yi; Korea Advanced Institute of Science and Technology
  • Young-Il Kim; College of Medicine and Medical Research Institute, Chungbuk National University
  • Su-Jin Park; Division of Applied Life Science and Research Institute of Life Sciences, Gyeongsang National University
  • Eun-Ha Kim; College of Medicine and Medical Research Institute, Chungbuk National University
  • Se-Mi Kim; College of Medicine and Medical Research Institute, Chungbuk National University
  • Sung Ho Park; School of Life Sciences, Ulsan National Institute of Science & Technology (UNIST)
  • Young Seok Ju; Korea Advanced Institute of Science and Technology
  • Young Ki Choi; College of Medicine and Medical Research Institute, Chungbuk National University
  • Su-Hyung Park; Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST)
Preprint em En | PREPRINT-BIORXIV | ID: ppbiorxiv-388280
ABSTRACT
Although the profile of immune cells changes during the natural course of SARS-CoV-2 inflection in human patients, few studies have used a longitudinal approach to reveal their dynamic features. Here, we performed single-cell RNA sequencing of bronchoalveolar lavage fluid cells longitudinally obtained from SARS-CoV-2-infected ferrets. Landscape analysis of the lung immune microenvironment showed dynamic changes in cell proportions and characteristics in uninfected control, at 2 days post-infection (dpi) (early stage of SARS-CoV-2 infection with peak viral titer), and 5 dpi (resolution phase). NK cells and CD8+ T cells exhibited activated subclusters with interferon-stimulated features, which were peaked at 2 dpi. Intriguingly, macrophages were classified into 10 distinct subpopulations, and their relative proportions changed over the time. We observed prominent transcriptome changes among monocyte-derived infiltrating macrophages and differentiated M1/M2 macrophages, especially at 2 dpi. Moreover, trajectory analysis revealed gene expression changes from monocyte-derived infiltrating macrophages toward M1 or M2 macrophages and identified the distinct macrophage subpopulation that had rapidly undergone SARS-CoV-2-mediated activation of inflammatory responses. Finally, we found that different spectrums of M1 or M2 macrophages showed distinct patterns of gene modules downregulated by immune-modulatory drugs. Overall, these results elucidate fundamental aspects of the immune response dynamics provoked by SARS-CoV-2 infection.
Licença
cc_by_nc_nd
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-BIORXIV Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-BIORXIV Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Preprint