Cargando…

Virus-inclusive single-cell RNA sequencing reveals the molecular signature of progression to severe dengue

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 bi...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6310786/
https://www.ncbi.nlm.nih.gov/pubmed/30530648
http://dx.doi.org/10.1073/pnas.1813819115
_version_ 1783383495624622080
author 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
author_facet 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
author_sort Zanini, Fabio
collection PubMed
description 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.
format Online
Article
Text
id pubmed-6310786
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher National Academy of Sciences
record_format MEDLINE/PubMed
spelling pubmed-63107862019-01-04 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 Proc Natl Acad Sci U S A PNAS Plus 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. National Academy of Sciences 2018-12-26 2018-12-07 /pmc/articles/PMC6310786/ /pubmed/30530648 http://dx.doi.org/10.1073/pnas.1813819115 Text en Copyright © 2018 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle PNAS Plus
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
Virus-inclusive single-cell RNA sequencing reveals the molecular signature of progression to severe dengue
title Virus-inclusive single-cell RNA sequencing reveals the molecular signature of progression to severe dengue
title_full Virus-inclusive single-cell RNA sequencing reveals the molecular signature of progression to severe dengue
title_fullStr Virus-inclusive single-cell RNA sequencing reveals the molecular signature of progression to severe dengue
title_full_unstemmed Virus-inclusive single-cell RNA sequencing reveals the molecular signature of progression to severe dengue
title_short Virus-inclusive single-cell RNA sequencing reveals the molecular signature of progression to severe dengue
title_sort virus-inclusive single-cell rna sequencing reveals the molecular signature of progression to severe dengue
topic PNAS Plus
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6310786/
https://www.ncbi.nlm.nih.gov/pubmed/30530648
http://dx.doi.org/10.1073/pnas.1813819115
work_keys_str_mv AT zaninifabio virusinclusivesinglecellrnasequencingrevealsthemolecularsignatureofprogressiontoseveredengue
AT robinsonmakedal virusinclusivesinglecellrnasequencingrevealsthemolecularsignatureofprogressiontoseveredengue
AT crootederek virusinclusivesinglecellrnasequencingrevealsthemolecularsignatureofprogressiontoseveredengue
AT sahoomalayakumar virusinclusivesinglecellrnasequencingrevealsthemolecularsignatureofprogressiontoseveredengue
AT sanzanamaria virusinclusivesinglecellrnasequencingrevealsthemolecularsignatureofprogressiontoseveredengue
AT ortizlassoeliana virusinclusivesinglecellrnasequencingrevealsthemolecularsignatureofprogressiontoseveredengue
AT albornozludwigluis virusinclusivesinglecellrnasequencingrevealsthemolecularsignatureofprogressiontoseveredengue
AT rossofernando virusinclusivesinglecellrnasequencingrevealsthemolecularsignatureofprogressiontoseveredengue
AT montoyajoseg virusinclusivesinglecellrnasequencingrevealsthemolecularsignatureofprogressiontoseveredengue
AT gooleslie virusinclusivesinglecellrnasequencingrevealsthemolecularsignatureofprogressiontoseveredengue
AT pinskybenjamina virusinclusivesinglecellrnasequencingrevealsthemolecularsignatureofprogressiontoseveredengue
AT quakestephenr virusinclusivesinglecellrnasequencingrevealsthemolecularsignatureofprogressiontoseveredengue
AT einavshirit virusinclusivesinglecellrnasequencingrevealsthemolecularsignatureofprogressiontoseveredengue