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    Date Issued2022 (1)2020 (2)Author
    Cao, Yuming (3)
    Garber, Manuel (3)Donnard, Elisa (2)Finberg, Robert W. (2)Guo, Zhiru (2)View MoreUMass Chan AffiliationProgram in Bioinformatics and Integrative Biology (3)Program in Molecular Medicine (3)Department of Medicine, Division of Infectious Diseases and Immunology (2)Graduate School of Biomedical Sciences (2)Biochemistry and Molecular Biotechnology (1)View MoreDocument TypeJournal Article (2)Preprint (1)KeywordBioinformatics (2)Immunology and Infectious Disease (2)Infectious Disease (2)Virology (2)Virus Diseases (2)View MoreJournalbioRxiv (1)Cell (1)Nucleic acids research (1)

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    Intratracheally administered LNA gapmer antisense oligonucleotides induce robust gene silencing in mouse lung fibroblasts

    Shin, Minwook; Chan, Io Long; Cao, Yuming; Gruntman, Alisha M; Lee, Jonathan; Sousa, Jacquelyn; Rodríguez, Tomás C; Echeverria, Dimas; Devi, Gitali; Debacker, Alexandre J; et al. (2022-08-03)
    The lung is a complex organ with various cell types having distinct roles. Antisense oligonucleotides (ASOs) have been studied in the lung, but it has been challenging to determine their effectiveness in each cell type due to the lack of appropriate analytical methods. We employed three distinct approaches to study silencing efficacy within different cell types. First, we used lineage markers to identify cell types in flow cytometry, and simultaneously measured ASO-induced silencing of cell-surface proteins CD47 or CD98. Second, we applied single-cell RNA sequencing (scRNA-seq) to measure silencing efficacy in distinct cell types; to the best of our knowledge, this is the first time scRNA-seq has been applied to measure the efficacy of oligonucleotide therapeutics. In both approaches, fibroblasts were the most susceptible to locally delivered ASOs, with significant silencing also in endothelial cells. Third, we confirmed that the robust silencing in fibroblasts is broadly applicable by silencing two targets expressed mainly in fibroblasts, Mfap4 and Adam33. Across independent approaches, we demonstrate that intratracheally administered LNA gapmer ASOs robustly induce gene silencing in lung fibroblasts. ASO-induced gene silencing in fibroblasts was durable, lasting 4-8 weeks after a single dose. Thus, lung fibroblasts are well aligned with ASOs as therapeutics.
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    SARS-CoV-2 Receptor ACE2 Is an Interferon-Stimulated Gene in Human Airway Epithelial Cells and Is Detected in Specific Cell Subsets across Tissues

    Ziegler, Carly G. K.; Cao, Yuming; Guo, Zhiru; Wang, Jennifer P.; Finberg, Robert W.; Garber, Manuel; Shalek, Alex K.; Ordovas-Montanes, Jose; HCA Lung Biological Network (2020-04-27)
    There is pressing urgency to understand the pathogenesis of the severe acute respiratory syndrome coronavirus clade 2 (SARS-CoV-2), which causes the disease COVID-19. SARS-CoV-2 spike (S) protein binds angiotensin-converting enzyme 2 (ACE2), and in concert with host proteases, principally transmembrane serine protease 2 (TMPRSS2), promotes cellular entry. The cell subsets targeted by SARS-CoV-2 in host tissues and the factors that regulate ACE2 expression remain unknown. Here, we leverage human, non-human primate, and mouse single-cell RNA-sequencing (scRNA-seq) datasets across health and disease to uncover putative targets of SARS-CoV-2 among tissue-resident cell subsets. We identify ACE2 and TMPRSS2 co-expressing cells within lung type II pneumocytes, ileal absorptive enterocytes, and nasal goblet secretory cells. Strikingly, we discovered that ACE2 is a human interferon-stimulated gene (ISG) in vitro using airway epithelial cells and extend our findings to in vivo viral infections. Our data suggest that SARS-CoV-2 could exploit species-specific interferon-driven upregulation of ACE2, a tissue-protective mediator during lung injury, to enhance infection.
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    Single-cell analysis of upper airway cells reveals host-viral dynamics in influenza infected adults [preprint]

    Cao, Yuming; Guo, Zhiru; Vangala, Pranitha; Donnard, Elisa; Liu, Ping; McDonel, Patrick; Ordovas Montanes, Jose; Shalek, Alex K.; Finberg, Robert W.; Wang, Jennifer P.; et al. (2020-04-17)
    Influenza virus infections are major causes of morbidity and mortality. Research using cultured cells, bulk tissue, and animal models cannot fully capture human disease dynamics. Many aspects of virus-host interactions in a natural setting remain unclear, including the specific cell types that are infected and how they and neighboring bystander cells contribute to the overall antiviral response. To address these questions, we performed single-cell RNA sequencing (scRNA-Seq) on cells from freshly collected nasal washes from healthy human donors and donors diagnosed with acute influenza during the 2017-18 season. We describe a previously uncharacterized goblet cell population, specific to infected individuals, with high expression of MHC class II genes. Furthermore, leveraging scRNA-Seq reads, we obtained deep viral genome coverage and developed a model to rigorously identify infected cells that detected influenza infection in all epithelial cell types and even some immune cells. Our data revealed that each donor was infected by a unique influenza variant and that each variant was separated by at least one unique non-synonymous difference. Our results demonstrate the power of massively-parallel scRNA-Seq to study viral variation, as well as host and viral transcriptional activity during human infection.
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