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973. Single-cell RNA Sequencing Analysis of Zika Virus Infection in Human Stem Cell-Derived Cerebral Organoids

BACKGROUND: The molecular mechanisms underpinning the neurologic and congenital pathologies caused by Zika virus (ZIKV) infection remain poorly understood. One barrier has been the lack of relevant model systems for the developing human brain; however, thanks to advances in the stem cell field, we c...

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Autores principales: Ocwieja, Karen, Stanton, Alexandra, Richards, Alexsia, Antonucci, Jenna, Hughes, Travis, Shalek, Alex, Jaenisch, Rudolph, Gehrke, Lee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6808757/
http://dx.doi.org/10.1093/ofid/ofz359.075
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author Ocwieja, Karen
Stanton, Alexandra
Richards, Alexsia
Antonucci, Jenna
Hughes, Travis
Shalek, Alex
Jaenisch, Rudolph
Gehrke, Lee
author_facet Ocwieja, Karen
Stanton, Alexandra
Richards, Alexsia
Antonucci, Jenna
Hughes, Travis
Shalek, Alex
Jaenisch, Rudolph
Gehrke, Lee
author_sort Ocwieja, Karen
collection PubMed
description BACKGROUND: The molecular mechanisms underpinning the neurologic and congenital pathologies caused by Zika virus (ZIKV) infection remain poorly understood. One barrier has been the lack of relevant model systems for the developing human brain; however, thanks to advances in the stem cell field, we can now evaluate ZIKV central nervous system infections in human stem cell-derived cerebral organoids which recapitulate complex 3-dimensional neural architecture. METHODS: We apply Seq-Well—a simple, portable platform for massively parallel single-cell RNA sequencing—to characterize cerebral organoids infected with ZIKV. Using this sequencing method, and published transcriptional profiles, we identify multiple cellular populations in our organoids, including neuroprogenitor cells, intermediate progenitor cells, and terminally differentiated neurons. We detect and quantify host mRNA transcripts and viral RNA with single-cell resolution, defining transcriptional features of uninfected cells and infected cells. RESULTS: In this model of the developing brain, we identify preferred tropisms of ZIKV infection and pronounced effects on cell division, differentiation, and death. Our data additionally reveal differences in cellular populations and gene expression within organoids infected by historic and contemporary ZIKV strains from a variety of geographic locations. This finding might help explain phenotypic differences attributed to the viruses, including variable propensity to cause microcephaly. CONCLUSION: Overall, our work provides insight into normal and diseased human brain development, and suggests that both virus replication and host response mechanisms underlie the neuropathology of ZIKV infection. DISCLOSURES: All Authors: No reported Disclosures.
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spelling pubmed-68087572019-10-28 973. Single-cell RNA Sequencing Analysis of Zika Virus Infection in Human Stem Cell-Derived Cerebral Organoids Ocwieja, Karen Stanton, Alexandra Richards, Alexsia Antonucci, Jenna Hughes, Travis Shalek, Alex Jaenisch, Rudolph Gehrke, Lee Open Forum Infect Dis Abstracts BACKGROUND: The molecular mechanisms underpinning the neurologic and congenital pathologies caused by Zika virus (ZIKV) infection remain poorly understood. One barrier has been the lack of relevant model systems for the developing human brain; however, thanks to advances in the stem cell field, we can now evaluate ZIKV central nervous system infections in human stem cell-derived cerebral organoids which recapitulate complex 3-dimensional neural architecture. METHODS: We apply Seq-Well—a simple, portable platform for massively parallel single-cell RNA sequencing—to characterize cerebral organoids infected with ZIKV. Using this sequencing method, and published transcriptional profiles, we identify multiple cellular populations in our organoids, including neuroprogenitor cells, intermediate progenitor cells, and terminally differentiated neurons. We detect and quantify host mRNA transcripts and viral RNA with single-cell resolution, defining transcriptional features of uninfected cells and infected cells. RESULTS: In this model of the developing brain, we identify preferred tropisms of ZIKV infection and pronounced effects on cell division, differentiation, and death. Our data additionally reveal differences in cellular populations and gene expression within organoids infected by historic and contemporary ZIKV strains from a variety of geographic locations. This finding might help explain phenotypic differences attributed to the viruses, including variable propensity to cause microcephaly. CONCLUSION: Overall, our work provides insight into normal and diseased human brain development, and suggests that both virus replication and host response mechanisms underlie the neuropathology of ZIKV infection. DISCLOSURES: All Authors: No reported Disclosures. Oxford University Press 2019-10-23 /pmc/articles/PMC6808757/ http://dx.doi.org/10.1093/ofid/ofz359.075 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Abstracts
Ocwieja, Karen
Stanton, Alexandra
Richards, Alexsia
Antonucci, Jenna
Hughes, Travis
Shalek, Alex
Jaenisch, Rudolph
Gehrke, Lee
973. Single-cell RNA Sequencing Analysis of Zika Virus Infection in Human Stem Cell-Derived Cerebral Organoids
title 973. Single-cell RNA Sequencing Analysis of Zika Virus Infection in Human Stem Cell-Derived Cerebral Organoids
title_full 973. Single-cell RNA Sequencing Analysis of Zika Virus Infection in Human Stem Cell-Derived Cerebral Organoids
title_fullStr 973. Single-cell RNA Sequencing Analysis of Zika Virus Infection in Human Stem Cell-Derived Cerebral Organoids
title_full_unstemmed 973. Single-cell RNA Sequencing Analysis of Zika Virus Infection in Human Stem Cell-Derived Cerebral Organoids
title_short 973. Single-cell RNA Sequencing Analysis of Zika Virus Infection in Human Stem Cell-Derived Cerebral Organoids
title_sort 973. single-cell rna sequencing analysis of zika virus infection in human stem cell-derived cerebral organoids
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6808757/
http://dx.doi.org/10.1093/ofid/ofz359.075
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