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Single-cell analysis identifies cellular markers of the HIV permissive cell
Cellular permissiveness to HIV infection is highly heterogeneous across individuals. Heterogeneity is also found across CD4(+) T cells from the same individual, where only a fraction of cells gets infected. To explore the basis of permissiveness, we performed single-cell RNA-seq analysis of non-infe...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5658171/ https://www.ncbi.nlm.nih.gov/pubmed/29073251 http://dx.doi.org/10.1371/journal.ppat.1006678 |
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author | Rato, Sylvie Rausell, Antonio Muñoz, Miguel Telenti, Amalio Ciuffi, Angela |
author_facet | Rato, Sylvie Rausell, Antonio Muñoz, Miguel Telenti, Amalio Ciuffi, Angela |
author_sort | Rato, Sylvie |
collection | PubMed |
description | Cellular permissiveness to HIV infection is highly heterogeneous across individuals. Heterogeneity is also found across CD4(+) T cells from the same individual, where only a fraction of cells gets infected. To explore the basis of permissiveness, we performed single-cell RNA-seq analysis of non-infected CD4(+) T cells from high and low permissive individuals. Transcriptional heterogeneity translated in a continuum of cell states, driven by T-cell receptor-mediated cell activation and was strongly linked to permissiveness. Proteins expressed at the cell surface and displaying the highest correlation with T cell activation were tested as biomarkers of cellular permissiveness to HIV. FACS sorting using antibodies against several biomarkers of permissiveness led to an increase of HIV cellular infection rates. Top candidate biomarkers included CD25, a canonical activation marker. The combination of CD25 high expression with other candidate biomarkers led to the identification of CD298, CD63 and CD317 as the best biomarkers for permissiveness. CD25(high)CD298(high)CD63(high)CD317(high) cell population showed an enrichment of HIV-infection of up to 28 fold as compared to the unsorted cell population. The purified hyper-permissive cell subpopulation was characterized by a downregulation of interferon-induced genes and several known restriction factors. Single-cell RNA-seq analysis coupled with functional characterization of cell biomarkers provides signatures of the “HIV-permissive cell”. |
format | Online Article Text |
id | pubmed-5658171 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-56581712017-11-09 Single-cell analysis identifies cellular markers of the HIV permissive cell Rato, Sylvie Rausell, Antonio Muñoz, Miguel Telenti, Amalio Ciuffi, Angela PLoS Pathog Research Article Cellular permissiveness to HIV infection is highly heterogeneous across individuals. Heterogeneity is also found across CD4(+) T cells from the same individual, where only a fraction of cells gets infected. To explore the basis of permissiveness, we performed single-cell RNA-seq analysis of non-infected CD4(+) T cells from high and low permissive individuals. Transcriptional heterogeneity translated in a continuum of cell states, driven by T-cell receptor-mediated cell activation and was strongly linked to permissiveness. Proteins expressed at the cell surface and displaying the highest correlation with T cell activation were tested as biomarkers of cellular permissiveness to HIV. FACS sorting using antibodies against several biomarkers of permissiveness led to an increase of HIV cellular infection rates. Top candidate biomarkers included CD25, a canonical activation marker. The combination of CD25 high expression with other candidate biomarkers led to the identification of CD298, CD63 and CD317 as the best biomarkers for permissiveness. CD25(high)CD298(high)CD63(high)CD317(high) cell population showed an enrichment of HIV-infection of up to 28 fold as compared to the unsorted cell population. The purified hyper-permissive cell subpopulation was characterized by a downregulation of interferon-induced genes and several known restriction factors. Single-cell RNA-seq analysis coupled with functional characterization of cell biomarkers provides signatures of the “HIV-permissive cell”. Public Library of Science 2017-10-26 /pmc/articles/PMC5658171/ /pubmed/29073251 http://dx.doi.org/10.1371/journal.ppat.1006678 Text en © 2017 Rato et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Rato, Sylvie Rausell, Antonio Muñoz, Miguel Telenti, Amalio Ciuffi, Angela Single-cell analysis identifies cellular markers of the HIV permissive cell |
title | Single-cell analysis identifies cellular markers of the HIV permissive cell |
title_full | Single-cell analysis identifies cellular markers of the HIV permissive cell |
title_fullStr | Single-cell analysis identifies cellular markers of the HIV permissive cell |
title_full_unstemmed | Single-cell analysis identifies cellular markers of the HIV permissive cell |
title_short | Single-cell analysis identifies cellular markers of the HIV permissive cell |
title_sort | single-cell analysis identifies cellular markers of the hiv permissive cell |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5658171/ https://www.ncbi.nlm.nih.gov/pubmed/29073251 http://dx.doi.org/10.1371/journal.ppat.1006678 |
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