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Virus-inclusive single-cell RNA sequencing reveals the molecular signature of progression to severe dengue.
Zanini, Fabio; Robinson, Makeda L; Croote, Derek; Sahoo, Malaya Kumar; Sanz, Ana Maria; Ortiz-Lasso, Eliana; Albornoz, Ludwig Luis; Rosso, Fernando; Montoya, Jose G; Goo, Leslie; Pinsky, Benjamin A; Quake, Stephen R; Einav, Shirit.
Afiliação
  • Zanini F; Department of Bioengineering, Stanford University, Stanford, CA 94305.
  • Robinson ML; Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305.
  • Croote D; Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305.
  • Sahoo MK; Department of Bioengineering, Stanford University, Stanford, CA 94305.
  • Sanz AM; Department of Pathology, Stanford University School of Medicine, Stanford, CA 94304.
  • Ortiz-Lasso E; Clinical Research Center, Fundación Valle del Lili, Cali 760026, Colombia.
  • Albornoz LL; Pathology and Laboratory Department, Fundación Valle del Lili, Cali 760026, Colombia.
  • Rosso F; Pathology and Laboratory Department, Fundación Valle del Lili, Cali 760026, Colombia.
  • Montoya JG; Clinical Research Center, Fundación Valle del Lili, Cali 760026, Colombia.
  • Goo L; Division of Infectious Diseases, Department of Internal Medicine, Fundación Valle del Lili, Cali 760026, Colombia.
  • Pinsky BA; Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305.
  • Quake SR; Chan Zuckerberg Biohub, San Francisco, CA 94158.
  • Einav S; Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305.
Proc Natl Acad Sci U S A ; 115(52): E12363-E12369, 2018 12 26.
Article em En | MEDLINE | ID: mdl-30530648
ABSTRACT
Dengue virus (DENV) infection can result in severe complications. However, the understanding of the molecular correlates of severity is limited, partly due to difficulties in defining the peripheral blood mononuclear cells (PBMCs) that contain DENV RNA in vivo. Accordingly, there are currently no biomarkers predictive of progression to severe dengue (SD). Bulk transcriptomics data are difficult to interpret because blood consists of multiple cell types that may react differently to infection. Here, we applied virus-inclusive single-cell RNA-seq approach (viscRNA-Seq) to profile transcriptomes of thousands of single PBMCs derived early in the course of disease from six dengue patients and four healthy controls and to characterize distinct leukocyte subtypes that harbor viral RNA (vRNA). Multiple IFN response genes, particularly MX2 in naive B cells and CD163 in CD14+ CD16+ monocytes, were up-regulated in a cell-specific manner before progression to SD. The majority of vRNA-containing cells in the blood of two patients who progressed to SD were naive IgM B cells expressing the CD69 and CXCR4 receptors and various antiviral genes, followed by monocytes. Bystander, non-vRNA-containing B cells also demonstrated immune activation, and IgG1 plasmablasts from two patients exhibited clonal expansions. Lastly, assembly of the DENV genome sequence revealed diversity at unexpected sites. This study presents a multifaceted molecular elucidation of natural dengue infection in humans with implications for any tissue and viral infection and proposes candidate biomarkers for prediction of SD.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dengue / Análise de Célula Única Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dengue / Análise de Célula Única Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2018 Tipo de documento: Article