51
|
Hamele CE, Russell AB, Heaton NS. In Vivo Profiling of Individual Multiciliated Cells during Acute Influenza A Virus Infection. J Virol 2022; 96:e0050522. [PMID: 35867557 PMCID: PMC9327675 DOI: 10.1128/jvi.00505-22] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 06/03/2022] [Indexed: 01/09/2023] Open
Abstract
Influenza virus infections are thought to be initiated in a small number of cells; however, the heterogeneity across the cellular responses of the epithelial cells during establishment of disease is incompletely understood. Here, we used an H1N1 influenza virus encoding a fluorescent reporter gene, a cell lineage-labeling transgenic mouse line, and single-cell RNA sequencing to explore the range of responses in a susceptible epithelial cell population during an acute influenza A virus (IAV) infection. Focusing on multiciliated cells, we identified a subpopulation that basally expresses interferon-stimulated genes (ISGs), which we hypothesize may be important for the early response to infection. We subsequently found that a population of infected ciliated cells produce most of the ciliated cell-derived inflammatory cytokines, and nearly all bystander ciliated cells induce a broadly antiviral state. From these data together, we propose that variable preexisting gene expression patterns in the initial cells targeted by the virus may ultimately affect the establishment of viral disease. IMPORTANCE Influenza A virus poses a significant threat to public health, and each year, millions of people in the United States alone are exposed to the virus. We do not currently, however, fully understand why some individuals clear the infection asymptomatically and others become severely ill. Understanding how these divergent phenotypes arise could eventually be leveraged to design therapeutics that prevent severe disease. As a first step toward understanding these different infection states, we used a technology that allowed us to determine how thousands of individual murine lung epithelial cells behaved before and during IAV infection. We found that small subsets of epithelial cells exhibited an antiviral state prior to infection, and similarly, some cells made high levels of inflammatory cytokines during infection. We propose that different ratios of these individual cellular responses may contribute to the broader antiviral state of the lung and may ultimately affect disease severity.
Collapse
Affiliation(s)
- Cait E. Hamele
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, North Carolina, USA
| | - Alistair B. Russell
- Division of Biological Sciences, University of California, San Diego, San Diego, California, USA
| | - Nicholas S. Heaton
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, North Carolina, USA
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, North Carolina, USA
| |
Collapse
|
52
|
A Virus Is a Community: Diversity within Negative-Sense RNA Virus Populations. Microbiol Mol Biol Rev 2022; 86:e0008621. [PMID: 35658541 DOI: 10.1128/mmbr.00086-21] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Negative-sense RNA virus populations are composed of diverse viral components that interact to form a community and shape the outcome of virus infections. At the genomic level, RNA virus populations consist not only of a homogeneous population of standard viral genomes but also of an extremely large number of genome variants, termed viral quasispecies, and nonstandard viral genomes, which include copy-back viral genomes, deletion viral genomes, mini viral RNAs, and hypermutated RNAs. At the particle level, RNA virus populations are composed of pleomorphic particles, particles missing or having additional genomes, and single particles or particle aggregates. As we continue discovering more about the components of negative-sense RNA virus populations and their crucial functions during virus infection, it will become more important to study RNA virus populations as a whole rather than their individual parts. In this review, we will discuss what is known about the components of negative-sense RNA virus communities, speculate how the components of the virus community interact, and summarize what vaccines and antiviral therapies are being currently developed to target or harness these components.
Collapse
|
53
|
Abstract
Microfluidics has enabled a new era of cellular and molecular assays due to the small length scales, parallelization, and the modularity of various analysis and actuation functions. Droplet microfluidics, in particular, has been instrumental in providing new tools for biology with its ability to quickly and reproducibly generate drops that act as individual reactors. A notable beneficiary of this technology has been single-cell RNA sequencing, which has revealed new heterogeneities and interactions for the fundamental unit of life. However, viruses far surpass the diversity of cellular life, affect the dynamics of all ecosystems, and are a chronic source of global health crises. Despite their impact on the world, high-throughput and high-resolution viral profiling has been difficult, with conventional methods being limited to population-level averaging, large sample volumes, and few cultivable hosts. Consequently, most viruses have not been identified and studied. Droplet microfluidics holds the potential to address many of these limitations and offers new levels of sensitivity and throughput for virology. This Feature highlights recent efforts that have applied droplet microfluidics to the detection and study of viruses, including for diagnostics, virus-host interactions, and cell-independent virus assays. In combination with traditional virology methods, droplet microfluidics should prove a potent tool toward achieving a better understanding of the most abundant biological species on Earth.
Collapse
Affiliation(s)
- Wenyang Jing
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
| | - Hee-Sun Han
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.,Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.,Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, 1206 West Gregory Drive, Urbana, Illinois 61801, United States
| |
Collapse
|
54
|
Functional single-cell genomics of human cytomegalovirus infection. Nat Biotechnol 2022; 40:391-401. [PMID: 34697476 DOI: 10.1038/s41587-021-01059-3] [Citation(s) in RCA: 46] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 08/17/2021] [Indexed: 12/26/2022]
Abstract
Understanding how viral and host factors interact and how perturbations impact infection is the basis for designing antiviral interventions. Here we define the functional contribution of each viral and host factor involved in human cytomegalovirus infection in primary human fibroblasts through pooled CRISPR interference and nuclease screening. To determine how genetic perturbation of critical host and viral factors alters the timing, course and progression of infection, we applied Perturb-seq to record the transcriptomes of tens of thousands of CRISPR-modified single cells and found that, normally, most cells follow a stereotypical transcriptional trajectory. Perturbing critical host factors does not change the stereotypical transcriptional trajectory per se but can stall, delay or accelerate progression along the trajectory, allowing one to pinpoint the stage of infection at which host factors act. Conversely, perturbation of viral factors can create distinct, abortive trajectories. Our results reveal the roles of host and viral factors and provide a roadmap for the dissection of host-pathogen interactions.
Collapse
|
55
|
Abstract
Kaposi's sarcoma-associated herpesvirus (KSHV)-associated primary effusion lymphomas (PEL) are traditionally viewed as homogenous regarding viral transcription and lineage of origin, but so far this contention has not been explored at the single-cell level. Single-cell RNA sequencing of latently infected PEL supports the existence of multiple subpopulations even within a single cell line. At most 1% of the cells showed evidence of near-complete lytic transcription. The majority of cells only expressed the canonical viral latent transcripts: those originating from the latency locus, the viral interferon regulatory factor locus, and the viral lncRNA nut-1/Pan/T1.1; however, a significant fraction of cells showed various degrees of more permissive transcription, and some showed no evidence of KSHV transcripts whatsoever. Levels of viral interleukin-6 (IL-6)/K2 mRNA emerged as the most distinguishing feature to subset KSHV-infected PEL. One newly uncovered phenotype is the existence of BCBL-1 cells that readily adhered to fibronectin and that displayed mesenchymal lineage-like characteristics. IMPORTANCE Latency is the defining characteristic of the Herpesviridae and central to the tumorigenesis phenotype of Kaposi's sarcoma-associated herpesvirus (KSHV). KSHV-driven primary effusion lymphomas (PEL) rapidly develop resistance to therapy, suggesting tumor instability and plasticity. At any given time, a fraction of PEL cells spontaneously reactivate KSHV, suggesting transcriptional heterogeneity even within a clonal cell line under optimal growth conditions. This study employed single-cell mRNA sequencing to explore the within-population variability of KSHV transcription and how it relates to host cell transcription. Individual clonal PEL cells exhibited differing patterns of viral transcription. Most cells showed the canonical pattern of KSHV latency (LANA, vCyc, vFLIP, Kaposin, and vIRFs), but a significant fraction evidenced extended viral gene transcription, including of the viral IL-6 homolog, open reading frame K2. This study suggests new targets of intervention for PEL. It establishes a conceptual framework to design KSHV cure studies analogous to those for HIV.
Collapse
|
56
|
Ulasov AV, Rosenkranz AA, Georgiev GP, Sobolev AS. Nrf2/Keap1/ARE signaling: Towards specific regulation. Life Sci 2022; 291:120111. [PMID: 34732330 PMCID: PMC8557391 DOI: 10.1016/j.lfs.2021.120111] [Citation(s) in RCA: 174] [Impact Index Per Article: 87.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 10/22/2021] [Accepted: 10/27/2021] [Indexed: 02/06/2023]
Abstract
The Nrf2 transcription factor governs the expression of hundreds genes involved in cell defense against oxidative stress, the hallmark of numerous diseases such as neurodegenerative, cardiovascular, some viral pathologies, diabetes and others. The main route for Nrf2 activity regulation is via interactions with the Keap1 protein. Under the normoxia the Keap1 binds the Nrf2 and targets it to the proteasomal degradation, while the Keap1 is regenerated. Upon oxidative stress the interactions between Nrf2 and Keap1 are interrupted and the Nrf2 activates the transcription of the protective genes. Currently, the Nrf2 system activation is considered as a powerful cytoprotective strategy for treatment of different pathologies, which pathogenesis relies on oxidative stress including viral diseases of pivotal importance such as COVID-19. The implementation of this strategy is accomplished mainly through the inactivation of the Keap1 "guardian" function. Two approaches are now developing: the Keap1 modification via electrophilic agents, which leads to the Nrf2 release, and direct interruption of the Nrf2:Keap1 protein-protein interactions (PPI). Because of theirs chemical structure, the Nrf2 electrophilic inducers could non-specifically interact with others cellular proteins leading to undesired effects. Whereas the non-electrophilic inhibitors of the Nrf2:Keap1 PPI could be more specific, thereby widening the therapeutic window.
Collapse
Affiliation(s)
- Alexey V Ulasov
- Department of Molecular Genetics of Intracellular Transport, Institute of Gene Biology, Russian Academy of Sciences, 34/5 Vavilov St., 119334 Moscow, Russia.
| | - Andrey A Rosenkranz
- Department of Molecular Genetics of Intracellular Transport, Institute of Gene Biology, Russian Academy of Sciences, 34/5 Vavilov St., 119334 Moscow, Russia; Faculty of Biology, Moscow State University, 1-12 Leninskiye Gory St., 119234 Moscow, Russia
| | - Georgii P Georgiev
- Department of Molecular Genetics of Intracellular Transport, Institute of Gene Biology, Russian Academy of Sciences, 34/5 Vavilov St., 119334 Moscow, Russia
| | - Alexander S Sobolev
- Department of Molecular Genetics of Intracellular Transport, Institute of Gene Biology, Russian Academy of Sciences, 34/5 Vavilov St., 119334 Moscow, Russia; Faculty of Biology, Moscow State University, 1-12 Leninskiye Gory St., 119234 Moscow, Russia
| |
Collapse
|
57
|
Upregulation of nuclear factor E2-related factor 2 (Nrf2) represses the replication of herpes simplex virus type 1. Virol J 2022; 19:23. [PMID: 35101046 PMCID: PMC8802289 DOI: 10.1186/s12985-021-01733-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 12/18/2021] [Indexed: 12/29/2022] Open
Abstract
Background Nuclear factor E2-related factor 2 (Nrf2) is an important transcription factor which plays a pivotal role in detoxifying reactive oxygen species (ROS) and has been more recently shown to regulate inflammatory and antiviral responses. However, the role of Nrf2 in Herpes Simplex Virus type 1 (HSV-1) infection is still unclear. In this study, the interaction between the Nrf2 and HSV-1 replication was investigated. Methods The levels of oxidative stress was monitored by using 8-hydroxy-2'-deoxyguanosine (8-OHdG) ELISA kits, and the dynamic changes of Nrf2-antioxidant response element (Nrf2-ARE) pathway were detected by Western Blot. The effect of Nrf2-ARE pathway on the regulation of HSV-1 proliferation was analyzed by Western Blot, Real-Time PCR and TCID50 assay. Results HSV-1 infection induced oxidative stress. Nrf2 was activated, accompanied by the increase of its down-stream antioxidant enzyme heme oxygenase-1 (HO-1) and NAD(P)H quinone oxidoreductase 1 (NQO1) in the early stage of HSV-1 infection. The proliferation of HSV-1 was inhibited by overexpression of Nrf2 or treatment with its activator tert-Butylhydroquinone (tBHQ). On the contrary, silencing of Nrf2 promotes virus replication. HO-1 is involved in the regulation of IFN response, leading to efficient anti-HSV-1 effects. Conclusion Our observations indicate that the Nrf2-ARE pathway activates a passive defensive response in the early stage of HSV-1 infection. Targeting the Nrf2 pathway demonstrates the potential for combating HSV-1 infection.
Collapse
|
58
|
Barrozo ER, Aagaard KM. Human placental biology at single-cell resolution: a contemporaneous review. BJOG 2022; 129:208-220. [PMID: 34651399 PMCID: PMC8688323 DOI: 10.1111/1471-0528.16970] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 09/23/2021] [Accepted: 10/05/2021] [Indexed: 01/03/2023]
Abstract
Single-cell technologies capture cellular heterogeneity to focus on previously poorly described subpopulations of cells. Work by our laboratory and many others has metagenomically characterised a low biomass intrauterine microbial community, alongside microbial transcripts, antigens and metabolites, but the functional importance of low biomass microbial communities in placental immuno-microenvironments is still being elucidated. Given their hypothesised role in modulating inflammation and immune ontogeny to enable tolerance of beneficial microbes while warding off pathogens, there is a need for single-cell resolution. Herein, we summarise the potential for mechanistic understanding of these and other key fundamental early developmental processes by applying single-cell approaches.
Collapse
Affiliation(s)
- Enrico R. Barrozo
- Division of Maternal-Fetal Medicine, Department of Obstetrics & Gynecology, Baylor College of Medicine & Texas Children’s Hospital, Houston, TX, USA
| | - Kjersti M. Aagaard
- Division of Maternal-Fetal Medicine, Department of Obstetrics & Gynecology, Baylor College of Medicine & Texas Children’s Hospital, Houston, TX, USA
| |
Collapse
|
59
|
Grau-Expósito J, Perea D, Suppi M, Massana N, Vergara A, Soler MJ, Trinite B, Blanco J, García-Pérez J, Alcamí J, Serrano-Mollar A, Rosado J, Falcó V, Genescà M, Buzon MJ. Evaluation of SARS-CoV-2 entry, inflammation and new therapeutics in human lung tissue cells. PLoS Pathog 2022; 18:e1010171. [PMID: 35025963 PMCID: PMC8791477 DOI: 10.1371/journal.ppat.1010171] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 01/26/2022] [Accepted: 12/06/2021] [Indexed: 12/15/2022] Open
Abstract
The development of physiological models that reproduce SARS-CoV-2 infection in primary human cells will be instrumental to identify host-pathogen interactions and potential therapeutics. Here, using cell suspensions directly from primary human lung tissues (HLT), we have developed a rapid platform for the identification of viral targets and the expression of viral entry factors, as well as for the screening of viral entry inhibitors and anti-inflammatory compounds. The direct use of HLT cells, without long-term cell culture and in vitro differentiation approaches, preserves main immune and structural cell populations, including the most susceptible cell targets for SARS-CoV-2; alveolar type II (AT-II) cells, while maintaining the expression of proteins involved in viral infection, such as ACE2, TMPRSS2, CD147 and AXL. Further, antiviral testing of 39 drug candidates reveals a highly reproducible method, suitable for different SARS-CoV-2 variants, and provides the identification of new compounds missed by conventional systems, such as VeroE6. Using this method, we also show that interferons do not modulate ACE2 expression, and that stimulation of local inflammatory responses can be modulated by different compounds with antiviral activity. Overall, we present a relevant and rapid method for the study of SARS-CoV-2.
Collapse
Affiliation(s)
- Judith Grau-Expósito
- Infectious Diseases Department, Vall d’Hebron Research Institute (VHIR), Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, VHIR Task Force COVID-19, Barcelona, Spain
| | - David Perea
- Infectious Diseases Department, Vall d’Hebron Research Institute (VHIR), Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, VHIR Task Force COVID-19, Barcelona, Spain
| | - Marina Suppi
- Infectious Diseases Department, Vall d’Hebron Research Institute (VHIR), Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, VHIR Task Force COVID-19, Barcelona, Spain
| | - Núria Massana
- Infectious Diseases Department, Vall d’Hebron Research Institute (VHIR), Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, VHIR Task Force COVID-19, Barcelona, Spain
| | - Ander Vergara
- Nephrology Research Department, Vall d’Hebron Research Institute (VHIR), Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, VHIR Task Force COVID-19, Barcelona, Spain
| | - Maria José Soler
- Nephrology Research Department, Vall d’Hebron Research Institute (VHIR), Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, VHIR Task Force COVID-19, Barcelona, Spain
| | - Benjamin Trinite
- IrsiCaixa AIDS Research Institute, Germans Trias i Pujol Research Institute (IGTP), Can Ruti Campus, Autonomous University of Barcelona (UAB), Badalona, Spain
| | - Julià Blanco
- IrsiCaixa AIDS Research Institute, Germans Trias i Pujol Research Institute (IGTP), Can Ruti Campus, Autonomous University of Barcelona (UAB), Badalona, Spain
- University of Vic–Central University of Catalonia (UVic-UCC), Vic, Spain
| | - Javier García-Pérez
- AIDS Immunopathology Unit, National Center of Microbiology, Instituto de Salud Carlos III, Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - José Alcamí
- AIDS Immunopathology Unit, National Center of Microbiology, Instituto de Salud Carlos III, Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Clinic HIV Unit, Hospital Clinic, IDIBAPS, Barcelona, Spain
| | - Anna Serrano-Mollar
- Experimental Pathology Department, Institut d’Investigacions Biomèdiques de Barcelona, Consejo Superior de Investigaciones Científicas (IIBB-CSIC), Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigaciones Biomédicas en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
| | - Joel Rosado
- Thoracic Surgery and Lung Transplantation Department, Vall d’Hebron Institut de Recerca (VHIR), Hospital Universitari Vall d’Hebron, VHIR Task Force COVID-19, Barcelona, Spain
| | - Vicenç Falcó
- Infectious Diseases Department, Vall d’Hebron Research Institute (VHIR), Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, VHIR Task Force COVID-19, Barcelona, Spain
| | - Meritxell Genescà
- Infectious Diseases Department, Vall d’Hebron Research Institute (VHIR), Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, VHIR Task Force COVID-19, Barcelona, Spain
| | - Maria J. Buzon
- Infectious Diseases Department, Vall d’Hebron Research Institute (VHIR), Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, VHIR Task Force COVID-19, Barcelona, Spain
| |
Collapse
|
60
|
O'Neill MB, Quach H, Pothlichet J, Aquino Y, Bisiaux A, Zidane N, Deschamps M, Libri V, Hasan M, Zhang SY, Zhang Q, Matuozzo D, Cobat A, Abel L, Casanova JL, Naffakh N, Rotival M, Quintana-Murci L. Single-Cell and Bulk RNA-Sequencing Reveal Differences in Monocyte Susceptibility to Influenza A Virus Infection Between Africans and Europeans. Front Immunol 2021; 12:768189. [PMID: 34912340 PMCID: PMC8667309 DOI: 10.3389/fimmu.2021.768189] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 10/27/2021] [Indexed: 01/02/2023] Open
Abstract
There is considerable inter-individual and inter-population variability in response to viruses. The potential of monocytes to elicit type-I interferon responses has attracted attention to their role in viral infections. Here, we use single-cell RNA-sequencing to characterize the role of cellular heterogeneity in human variation of monocyte responses to influenza A virus (IAV) exposure. We show widespread inter-individual variability in the percentage of IAV-infected monocytes. Notably, individuals with high cellular susceptibility to IAV are characterized by a lower activation at basal state of an IRF/STAT-induced transcriptional network, which includes antiviral genes such as IFITM3, MX1 and OAS3. Upon IAV challenge, we find that cells escaping viral infection display increased mRNA expression of type-I interferon stimulated genes and decreased expression of ribosomal genes, relative to both infected cells and those never exposed to IAV. We also uncover a stronger resistance of CD16+ monocytes to IAV infection, together with CD16+ -specific mRNA expression of IL6 and TNF in response to IAV. Finally, using flow cytometry and bulk RNA-sequencing across 200 individuals of African and European ancestry, we observe a higher number of CD16 + monocytes and lower susceptibility to IAV infection among monocytes from individuals of African-descent. Based on these data, we hypothesize that higher basal monocyte activation, driven by environmental factors and/or weak-effect genetic variants, underlies the lower cellular susceptibility to IAV infection of individuals of African ancestry relative to those of European ancestry. Further studies are now required to investigate how such cellular differences in IAV susceptibility translate into population differences in clinical outcomes and susceptibility to severe influenza.
Collapse
Affiliation(s)
- Mary B O'Neill
- Human Evolutionary Genetics Unit, Institut Pasteur, UMR 2000, Centre National de la Recherche Scientifique (CNRS), Paris, France
| | - Hélène Quach
- Muséum National d'Histoire Naturelle, UMR7206, Centre National de la Recherche Scientifique (CNRS), Université de Paris, Paris, France
| | | | - Yann Aquino
- Human Evolutionary Genetics Unit, Institut Pasteur, UMR 2000, Centre National de la Recherche Scientifique (CNRS), Paris, France.,Sorbonne Université, Collège doctoral, Paris, France
| | - Aurélie Bisiaux
- Human Evolutionary Genetics Unit, Institut Pasteur, UMR 2000, Centre National de la Recherche Scientifique (CNRS), Paris, France
| | - Nora Zidane
- Biodiversity and Epidemiology of Bacterial Pathogens Unit, Institut Pasteur, Paris, France
| | - Matthieu Deschamps
- Human Evolutionary Genetics Unit, Institut Pasteur, UMR 2000, Centre National de la Recherche Scientifique (CNRS), Paris, France
| | - Valentina Libri
- Cytometry and Biomarkers UTechS, Institut Pasteur, Paris, France
| | - Milena Hasan
- Cytometry and Biomarkers UTechS, Institut Pasteur, Paris, France
| | - Shen-Ying Zhang
- St. Giles Laboratory of Human Genetics of Infectious Diseases, The Rockefeller University, New York, NY, United States.,Laboratory of Human Genetics of Infectious Diseases, Necker Hospital for Sick Children, INSERM UMR 1163, Necker Hospital for Sick Children, Paris, France.,Imagine Institute, Paris University, Paris, France
| | - Qian Zhang
- St. Giles Laboratory of Human Genetics of Infectious Diseases, The Rockefeller University, New York, NY, United States.,Laboratory of Human Genetics of Infectious Diseases, Necker Hospital for Sick Children, INSERM UMR 1163, Necker Hospital for Sick Children, Paris, France.,Imagine Institute, Paris University, Paris, France
| | - Daniela Matuozzo
- Laboratory of Human Genetics of Infectious Diseases, Necker Hospital for Sick Children, INSERM UMR 1163, Necker Hospital for Sick Children, Paris, France.,Imagine Institute, Paris University, Paris, France
| | - Aurélie Cobat
- Laboratory of Human Genetics of Infectious Diseases, Necker Hospital for Sick Children, INSERM UMR 1163, Necker Hospital for Sick Children, Paris, France.,Imagine Institute, Paris University, Paris, France
| | - Laurent Abel
- St. Giles Laboratory of Human Genetics of Infectious Diseases, The Rockefeller University, New York, NY, United States.,Laboratory of Human Genetics of Infectious Diseases, Necker Hospital for Sick Children, INSERM UMR 1163, Necker Hospital for Sick Children, Paris, France.,Imagine Institute, Paris University, Paris, France
| | - Jean-Laurent Casanova
- St. Giles Laboratory of Human Genetics of Infectious Diseases, The Rockefeller University, New York, NY, United States.,Laboratory of Human Genetics of Infectious Diseases, Necker Hospital for Sick Children, INSERM UMR 1163, Necker Hospital for Sick Children, Paris, France.,Imagine Institute, Paris University, Paris, France.,Howard Hughes Medical Institute, New York, NY, United States
| | - Nadia Naffakh
- RNA Biology of Influenza Virus Unit, Institut Pasteur, Paris, France
| | - Maxime Rotival
- Human Evolutionary Genetics Unit, Institut Pasteur, UMR 2000, Centre National de la Recherche Scientifique (CNRS), Paris, France
| | - Lluis Quintana-Murci
- Human Evolutionary Genetics Unit, Institut Pasteur, UMR 2000, Centre National de la Recherche Scientifique (CNRS), Paris, France.,Chair of Human Genomics and Evolution, Collège de France, Paris, France
| |
Collapse
|
61
|
Shah AU, Li Y, Ouyang W, Wang Z, Zuo J, Shi S, Yu Q, Lin J, Yang Q. From nasal to basal: single-cell sequencing of the bursa of Fabricius highlights the IBDV infection mechanism in chickens. Cell Biosci 2021; 11:212. [PMID: 34915931 PMCID: PMC8675306 DOI: 10.1186/s13578-021-00728-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 12/07/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Chickens, important food animals and model organisms, are susceptible to many RNA viruses that invade via the nasal cavity. To determine the nasal entry site of the virus and clarify why avians are susceptible to RNA viruses, infectious bursal disease virus (IBDV) was selected because it is a typical avian RNA virus that infects chickens mainly via the nasal route. RESULTS First, we found that IBDV infected the posterior part of the nasal cavity in chickens, which is rich in lymphoid tissue and allows the virus to be easily transferred to the blood. Via the blood circulation, IBDV infected peripheral blood mononuclear cells (PBMCs) and was transferred to the bursa of Fabricius to damage the IgM + B lymphocyte population. Subsequently, the single-cell RNA sequencing (scRNA-seq) results suggested the more detailed response of different bursal cell populations (B cells, epithelial cells, dendritic cells, and fibroblasts) to IBDV. Regarding B cells, IBDV infection greatly decreased the IgM + B cell population but increased the IgA + B cell population in the bursal follicles. In contrast to B cells, bursal epithelial cells, especially basal cells, accumulated a large number of IBDV particles. Furthermore, we found that both innate RNA sensors and interferon-stimulated genes (ISGs) were highly expressed in the IBDV-infected groups, while dicer and ago2 expression was largely blocked by IBDV infection. This result suggests that dicer-related RNA interference (RNAi) might be an effective antiviral strategy for IBDV infection in avian. CONCLUSION Our study not only comprehensively elaborates on the transmission of airborne IBDV via the intranasal route and establishes the main target cell types for productive IBDV infection but also provides sufficient evidence to explain the cellular antiviral mechanism against IBDV infection.
Collapse
Affiliation(s)
- Abid Ullah Shah
- College of Life Sciences, Nanjing Agricultural University, Wei gang 1, Nanjing, Jiangsu, 210095, People's Republic of China.,College of Veterinary Medicine, Nanjing Agricultural University, Wei gang 1, Nanjing, Jiangsu, 210095, People's Republic of China
| | - Yuchen Li
- College of Veterinary Medicine, Nanjing Agricultural University, Wei gang 1, Nanjing, Jiangsu, 210095, People's Republic of China
| | - Wei Ouyang
- Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences/Key Laboratory of Veterinary Biological Engineering and Technology, Ministry of Agriculture, Nanjing, 210014, People's Republic of China
| | - Zhisheng Wang
- Institute of Veterinary Immunology and Engineering, National Research Center of Engineering and Technology for Veterinary Biologicals, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, People's Republic of China
| | - Jinjiao Zuo
- College of Life Sciences, Nanjing Agricultural University, Wei gang 1, Nanjing, Jiangsu, 210095, People's Republic of China
| | - Song Shi
- Shanghai OE Biotech. Co., Ltd, Shanghai, 201114, People's Republic of China
| | - Qinghua Yu
- College of Veterinary Medicine, Nanjing Agricultural University, Wei gang 1, Nanjing, Jiangsu, 210095, People's Republic of China
| | - Jian Lin
- College of Life Sciences, Nanjing Agricultural University, Wei gang 1, Nanjing, Jiangsu, 210095, People's Republic of China.
| | - Qian Yang
- College of Veterinary Medicine, Nanjing Agricultural University, Wei gang 1, Nanjing, Jiangsu, 210095, People's Republic of China
| |
Collapse
|
62
|
Mendes M, Russell AB. Library-based analysis reveals segment and length dependent characteristics of defective influenza genomes. PLoS Pathog 2021; 17:e1010125. [PMID: 34882752 PMCID: PMC8691639 DOI: 10.1371/journal.ppat.1010125] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Revised: 12/21/2021] [Accepted: 11/17/2021] [Indexed: 12/14/2022] Open
Abstract
Found in a diverse set of viral populations, defective interfering particles are parasitic variants that are unable to replicate on their own yet rise to relatively high frequencies. Their presence is associated with a loss of population fitness, both through the depletion of key cellular resources and the stimulation of innate immunity. For influenza A virus, these particles contain large internal deletions in the genomic segments which encode components of the heterotrimeric polymerase. Using a library-based approach, we comprehensively profile the growth and replication of defective influenza species, demonstrating that they possess an advantage during genome replication, and that exclusion during population expansion reshapes population composition in a manner consistent with their final, observed, distribution in natural populations. We find that an innate immune response is not linked to the size of a deletion; however, replication of defective segments can enhance their immunostimulatory properties. Overall, our results address several key questions in defective influenza A virus biology, and the methods we have developed to answer those questions may be broadly applied to other defective viruses.
Collapse
Affiliation(s)
- Marisa Mendes
- Division of Biological Sciences, University of California, San Diego, La Jolla, California, United States of America
| | - Alistair B. Russell
- Division of Biological Sciences, University of California, San Diego, La Jolla, California, United States of America
- * E-mail:
| |
Collapse
|
63
|
Silva JMF, Nagata T, Melo FL, Elena SF. Heterogeneity in the Response of Different Subtypes of Drosophila melanogaster Midgut Cells to Viral Infections. Viruses 2021; 13:2284. [PMID: 34835089 PMCID: PMC8623525 DOI: 10.3390/v13112284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 11/05/2021] [Accepted: 11/13/2021] [Indexed: 11/29/2022] Open
Abstract
Single-cell RNA sequencing (scRNA-seq) offers the possibility to monitor both host and pathogens transcriptomes at the cellular level. Here, public scRNA-seq datasets from Drosophila melanogaster midgut cells were used to compare the differences in replication strategy and cellular responses between two fly picorna-like viruses, Thika virus (TV) and D. melanogaster Nora virus (DMelNV). TV exhibited lower levels of viral RNA accumulation but infected a higher number of cells compared to DMelNV. In both cases, viral RNA accumulation varied according to cell subtype. The cellular heat shock response to TV and DMelNV infection was cell-subtype- and virus-specific. Disruption of bottleneck genes at later stages of infection in the systemic response, as well as of translation-related genes in the cellular response to DMelNV in two cell subtypes, may affect the virus replication.
Collapse
Affiliation(s)
- João M. F. Silva
- Departamento de Biologia Celular, Universidade de Brasília, Brasília 70910-900, Brazil; (J.M.F.S.); (T.N.); (F.L.M.)
- Instituto de Biología Integrativa de Sistemas (I2SysBio), CSIC-Universitat de València, 46980 Paterna, València, Spain
| | - Tatsuya Nagata
- Departamento de Biologia Celular, Universidade de Brasília, Brasília 70910-900, Brazil; (J.M.F.S.); (T.N.); (F.L.M.)
| | - Fernando L. Melo
- Departamento de Biologia Celular, Universidade de Brasília, Brasília 70910-900, Brazil; (J.M.F.S.); (T.N.); (F.L.M.)
| | - Santiago F. Elena
- Instituto de Biología Integrativa de Sistemas (I2SysBio), CSIC-Universitat de València, 46980 Paterna, València, Spain
- The Santa Fe Institute, Santa Fe, NM 87501, USA
| |
Collapse
|
64
|
Single-Cell Genomics: Enabling the Functional Elucidation of Infectious Diseases in Multi-Cell Genomes. Pathogens 2021; 10:pathogens10111467. [PMID: 34832622 PMCID: PMC8624509 DOI: 10.3390/pathogens10111467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 09/06/2021] [Accepted: 09/09/2021] [Indexed: 11/16/2022] Open
Abstract
Since the time when detection of gene expression in single cells by microarrays to the Next Generation Sequencing (NGS) enabled Single Cell Genomics (SCG), it has played a pivotal role to understand and elucidate the functional role of cellular heterogeneity. Along this journey to becoming a key player in the capture of the individuality of cells, SCG overcame many milestones, including scale, speed, sensitivity and sample costs (4S). There have been many important experimental and computational innovations in the efficient analysis and interpretation of SCG data. The increasing role of AI in SCG data analysis has further enhanced its applicability in building models for clinical intervention. Furthermore, SCG has been instrumental in the delineation of the role of cellular heterogeneity in specific diseases, including cancer and infectious diseases. The understanding of the role of differential immune responses in driving coronavirus disease-2019 (COVID-19) disease severity and clinical outcomes has been greatly aided by SCG. With many variants of concern (VOC) in sight, it would be of great importance to further understand the immune response specificity vis-a-vis the immune cell repertoire, the identification of novel cell types, and antibody response. Given the potential of SCG to play an integral part in the multi-omics approach to the study of the host-pathogen interaction and its outcomes, our review attempts to highlight its strengths, its implications for infectious disease biology, and its current limitations. We conclude that the application of SCG would be a critical step towards future pandemic preparedness.
Collapse
|
65
|
Krzysztoń R, Wan Y, Petreczky J, Balázsi G. Gene-circuit therapy on the horizon: synthetic biology tools for engineered therapeutics. Acta Biochim Pol 2021; 68:377-383. [PMID: 34460209 PMCID: PMC8590856 DOI: 10.18388/abp.2020_5744] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 07/19/2021] [Indexed: 01/17/2023]
Abstract
Therapeutic genome modification requires precise control over the introduced therapeutic functions. Current approaches of gene and cell therapy fail to deliver such command and rely on semi-quantitative methods with limited influence on timing, contextuality and levels of transgene expression, and hence on therapeutic function. Synthetic biology offers new opportunities for quantitative functionality in designing therapeutic systems and their components. Here, we discuss synthetic biology tools in their therapeutic context, with examples of proof-of-principle and clinical applications of engineered synthetic biomolecules and higher-order functional systems, i.e. gene circuits. We also present the prospects of future development towards advanced gene-circuit therapy.
Collapse
Affiliation(s)
- Rafał Krzysztoń
- Biomedical Engineering Department, Stony Brook University, Stony Brook, NY 11974, USA
- The Louis & Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA
| | - Yiming Wan
- Biomedical Engineering Department, Stony Brook University, Stony Brook, NY 11974, USA
- The Louis & Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA
| | - Julia Petreczky
- Biomedical Engineering Department, Stony Brook University, Stony Brook, NY 11974, USA
- The Louis & Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA
| | - Gábor Balázsi
- Biomedical Engineering Department, Stony Brook University, Stony Brook, NY 11974, USA
- The Louis & Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA
| |
Collapse
|
66
|
Suomalainen M, Greber UF. Virus Infection Variability by Single-Cell Profiling. Viruses 2021; 13:1568. [PMID: 34452433 PMCID: PMC8402812 DOI: 10.3390/v13081568] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Revised: 07/30/2021] [Accepted: 08/05/2021] [Indexed: 12/15/2022] Open
Abstract
Cell-to-cell variability of infection has long been known, yet it has remained one of the least understood phenomena in infection research. It impacts on disease onset and development, yet only recently underlying mechanisms have been studied in clonal cell cultures by single-virion immunofluorescence microscopy and flow cytometry. In this review, we showcase how single-cell RNA sequencing (scRNA-seq), single-molecule RNA-fluorescence in situ hybridization (FISH), and copper(I)-catalyzed azide-alkyne cycloaddition (click) with alkynyl-tagged viral genomes dissect infection variability in human and mouse cells. We show how the combined use of scRNA-FISH and click-chemistry reveals highly variable onsets of adenoviral gene expression, and how single live cell plaques reveal lytic and nonlytic adenovirus transmissions. The review highlights how scRNA-seq profiling and scRNA-FISH of coxsackie, influenza, dengue, zika, and herpes simplex virus infections uncover transcriptional variability, and how the host interferon response tunes influenza and sendai virus infections. We introduce the concept of "cell state" in infection variability, and conclude with advances by single-cell simultaneous measurements of chromatin accessibility and mRNA counts at high-throughput. Such technology will further dissect the sequence of events in virus infection and pathology, and better characterize the genetic and genomic stability of viruses, cell autonomous innate immune responses, and mechanisms of tissue injury.
Collapse
Affiliation(s)
- Maarit Suomalainen
- Department of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland
| | - Urs F. Greber
- Department of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland
| |
Collapse
|
67
|
Van Eyndhoven LC, Singh A, Tel J. Decoding the dynamics of multilayered stochastic antiviral IFN-I responses. Trends Immunol 2021; 42:824-839. [PMID: 34364820 DOI: 10.1016/j.it.2021.07.004] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 07/11/2021] [Accepted: 07/11/2021] [Indexed: 12/11/2022]
Abstract
Type I Interferon (IFN-I) responses were first recognized for their role in antiviral immunity, but it is now widely appreciated that IFN-Is have many immunomodulatory functions, influencing antitumor responses, autoimmune manifestations, and antimicrobial defenses. Given these pivotal roles, it may be surprising that multilayered stochastic events create highly heterogeneous, but tightly regulated, all-or-nothing cellular decisions. Recently, mathematical models have provided crucial insights into the stochastic nature of antiviral IFN-I responses, which we critically evaluate in this review. In this context, we emphasize the need for innovative single-cell technologies combined with mathematical models to further reveal, understand, and predict the complexity of the IFN-I system in physiological and pathological conditions that may be relevant to a plethora of diseases.
Collapse
Affiliation(s)
- Laura C Van Eyndhoven
- Laboratory of Immunoengineering, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands; Institute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Abhyudai Singh
- Department of Electrical and Computer Engineering, University of Delaware, Newark, Delaware, USA
| | - Jurjen Tel
- Laboratory of Immunoengineering, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands; Institute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, Eindhoven, The Netherlands.
| |
Collapse
|
68
|
Triana S, Stanifer ML, Metz‐Zumaran C, Shahraz M, Mukenhirn M, Kee C, Serger C, Koschny R, Ordoñez‐Rueda D, Paulsen M, Benes V, Boulant S, Alexandrov T. Single-cell transcriptomics reveals immune response of intestinal cell types to viral infection. Mol Syst Biol 2021; 17:e9833. [PMID: 34309190 PMCID: PMC8311733 DOI: 10.15252/msb.20209833] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 06/17/2021] [Accepted: 06/18/2021] [Indexed: 12/12/2022] Open
Abstract
Human intestinal epithelial cells form a primary barrier protecting us from pathogens, yet only limited knowledge is available about individual contribution of each cell type to mounting an immune response against infection. Here, we developed a framework combining single-cell RNA-Seq and highly multiplex RNA FISH and applied it to human intestinal organoids infected with human astrovirus, a model human enteric virus. We found that interferon controls the infection and that astrovirus infects all major cell types and lineages and induces expression of the cell proliferation marker MKI67. Intriguingly, each intestinal epithelial cell lineage exhibits a unique basal expression of interferon-stimulated genes and, upon astrovirus infection, undergoes an antiviral transcriptional reprogramming by upregulating distinct sets of interferon-stimulated genes. These findings suggest that in the human intestinal epithelium, each cell lineage plays a unique role in resolving virus infection. Our framework is applicable to other organoids and viruses, opening new avenues to unravel roles of individual cell types in viral pathogenesis.
Collapse
Affiliation(s)
- Sergio Triana
- Structural and Computational Biology UnitEuropean Molecular Biology LaboratoryHeidelbergGermany
- Faculty of BiosciencesCollaboration for Joint PhD degree between EMBL and Heidelberg UniversityHeidelbergGermany
| | - Megan L Stanifer
- Department of Infectious Diseases, Molecular VirologyHeidelberg UniversityHeidelbergGermany
- Research Group “Cellular Polarity and Viral Infection”German Cancer Research Center (DKFZ)HeidelbergGermany
| | - Camila Metz‐Zumaran
- Department of Infectious Diseases, VirologyHeidelberg UniversityHeidelbergGermany
| | - Mohammed Shahraz
- Structural and Computational Biology UnitEuropean Molecular Biology LaboratoryHeidelbergGermany
| | - Markus Mukenhirn
- Department of Infectious Diseases, VirologyHeidelberg UniversityHeidelbergGermany
| | - Carmon Kee
- Research Group “Cellular Polarity and Viral Infection”German Cancer Research Center (DKFZ)HeidelbergGermany
- Department of Infectious Diseases, VirologyHeidelberg UniversityHeidelbergGermany
| | - Clara Serger
- Structural and Computational Biology UnitEuropean Molecular Biology LaboratoryHeidelbergGermany
| | - Ronald Koschny
- Department of Internal Medicine IVInterdisciplinary Endoscopy CenterUniversity Hospital HeidelbergHeidelbergGermany
| | - Diana Ordoñez‐Rueda
- Flow Cytometry Core FacilityEuropean Molecular Biology LaboratoryHeidelbergGermany
| | - Malte Paulsen
- Flow Cytometry Core FacilityEuropean Molecular Biology LaboratoryHeidelbergGermany
| | - Vladimir Benes
- Genomics Core FacilityEuropean Molecular Biology LaboratoryHeidelbergGermany
| | - Steeve Boulant
- Research Group “Cellular Polarity and Viral Infection”German Cancer Research Center (DKFZ)HeidelbergGermany
- Department of Infectious Diseases, VirologyHeidelberg UniversityHeidelbergGermany
| | - Theodore Alexandrov
- Structural and Computational Biology UnitEuropean Molecular Biology LaboratoryHeidelbergGermany
- Molecular Medicine Partnership UnitEuropean Molecular Biology LaboratoryHeidelbergGermany
- Skaggs School of Pharmacy and Pharmaceutical SciencesUniversity of California San DiegoLa JollaCAUSA
| |
Collapse
|
69
|
Abstract
A growing appreciation of the importance of cellular metabolism and revelations concerning the extent of cell-cell heterogeneity demand metabolic characterization of individual cells. We present SpaceM, an open-source method for in situ single-cell metabolomics that detects >100 metabolites from >1,000 individual cells per hour, together with a fluorescence-based readout and retention of morpho-spatial features. We validated SpaceM by predicting the cell types of cocultured human epithelial cells and mouse fibroblasts. We used SpaceM to show that stimulating human hepatocytes with fatty acids leads to the emergence of two coexisting subpopulations outlined by distinct cellular metabolic states. Inducing inflammation with the cytokine interleukin-17A perturbs the balance of these states in a process dependent on NF-κB signaling. The metabolic state markers were reproduced in a murine model of nonalcoholic steatohepatitis. We anticipate SpaceM to be broadly applicable for investigations of diverse cellular models and to democratize single-cell metabolomics.
Collapse
|
70
|
Universal Live-Attenuated Influenza Vaccine Candidates Expressing Multiple M2e Epitopes Protect Ferrets against a High-Dose Heterologous Virus Challenge. Viruses 2021; 13:v13071280. [PMID: 34209093 PMCID: PMC8310119 DOI: 10.3390/v13071280] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 06/28/2021] [Accepted: 06/29/2021] [Indexed: 12/14/2022] Open
Abstract
The development of an influenza vaccine with broad protection and durability remains an attractive idea due to the high mutation rate of the influenza virus. An extracellular domain of Matrix 2 protein (M2e) is among the most attractive target for the universal influenza vaccine owing to its high conservancy rate. Here, we generated two recombinant live attenuated influenza vaccine (LAIV) candidates encoding four M2e epitopes representing consensus sequences of human, avian and swine influenza viruses, and studied them in a preclinical ferret model. Both LAIV+4M2e viruses induced higher levels of M2e-specific antibodies compared to the control LAIV strain, with the LAIV/HA+4M2e candidate being significantly more immunogenic than the LAIV/NS+4M2e counterpart. A high-dose heterosubtypic influenza virus challenge revealed the highest degree of protection after immunization with LAIV/HA+4M2e strain, followed by the NS-modified LAIV and the classical LAIV virus. Furthermore, only the immune sera from the LAIV/HA+4M2e-immunized ferrets protected mice from a panel of lethal influenza viruses encoding M genes of various origins. These data suggest that the improved cross-protection of the LAIV/HA+4M2e universal influenza vaccine candidate was mediated by the M2e-targeted antibodies. Taking into account the safety profile and improved cross-protective potential, the LAIV/HA+4M2e vaccine warrants its further evaluation in a phase I clinical trial.
Collapse
|
71
|
Wang Q, Peng C, Yang M, Huang F, Duan X, Wang S, Cheng H, Yang H, Zhao H, Qin Q. Single-cell RNA-seq landscape midbrain cell responses to red spotted grouper nervous necrosis virus infection. PLoS Pathog 2021; 17:e1009665. [PMID: 34185811 PMCID: PMC8241073 DOI: 10.1371/journal.ppat.1009665] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 05/24/2021] [Indexed: 12/25/2022] Open
Abstract
Viral nervous necrosis (VNN) is an acute and serious fish disease caused by nervous necrosis virus (NNV) which has been reported massive mortality in more than fifty teleost species worldwide. VNN causes damage of necrosis and vacuolation to central nervous system (CNS) cells in fish. It is difficult to identify the specific type of cell targeted by NNV, and to decipher the host immune response because of the functional diversity and highly complex anatomical and cellular composition of the CNS. In this study, we found that the red spotted grouper NNV (RGNNV) mainly attacked the midbrain of orange-spotted grouper (Epinephelus coioides). We conducted single-cell RNA-seq analysis of the midbrain of healthy and RGNNV-infected fish and identified 35 transcriptionally distinct cell subtypes, including 28 neuronal and 7 non-neuronal cell types. An evaluation of the subpopulations of immune cells revealed that macrophages were enriched in RGNNV-infected fish, and the transcriptional profiles of macrophages indicated an acute cytokine and inflammatory response. Unsupervised pseudotime analysis of immune cells showed that microglia transformed into M1-type activated macrophages to produce cytokines to reduce the damage to nerve tissue caused by the virus. We also found that RGNNV targeted neuronal cell types was GLU1 and GLU3, and we found that the key genes and pathways by which causes cell cytoplasmic vacuoles and autophagy significant enrichment, this may be the major route viruses cause cell death. These data provided a comprehensive transcriptional perspective of the grouper midbrain and the basis for further research on how viruses infect the teleost CNS.
Collapse
Affiliation(s)
- Qing Wang
- Joint Laboratory of Guangdong Province and Hong Kong Region on Marine Bioresource Conservation and Exploitation, College of Marine Sciences, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
| | - Cheng Peng
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Academy of Sciences, Guangzhou, China
| | - Min Yang
- Joint Laboratory of Guangdong Province and Hong Kong Region on Marine Bioresource Conservation and Exploitation, College of Marine Sciences, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
| | - Fengqi Huang
- Joint Laboratory of Guangdong Province and Hong Kong Region on Marine Bioresource Conservation and Exploitation, College of Marine Sciences, South China Agricultural University, Guangzhou, China
| | - Xuzhuo Duan
- Joint Laboratory of Guangdong Province and Hong Kong Region on Marine Bioresource Conservation and Exploitation, College of Marine Sciences, South China Agricultural University, Guangzhou, China
| | - Shaowen Wang
- Joint Laboratory of Guangdong Province and Hong Kong Region on Marine Bioresource Conservation and Exploitation, College of Marine Sciences, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
| | - Huitao Cheng
- Joint Laboratory of Guangdong Province and Hong Kong Region on Marine Bioresource Conservation and Exploitation, College of Marine Sciences, South China Agricultural University, Guangzhou, China
| | - Huirong Yang
- Joint Laboratory of Guangdong Province and Hong Kong Region on Marine Bioresource Conservation and Exploitation, College of Marine Sciences, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
| | - Huihong Zhao
- Joint Laboratory of Guangdong Province and Hong Kong Region on Marine Bioresource Conservation and Exploitation, College of Marine Sciences, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
- * E-mail: (HZ); (QQ)
| | - Qiwei Qin
- Joint Laboratory of Guangdong Province and Hong Kong Region on Marine Bioresource Conservation and Exploitation, College of Marine Sciences, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
- Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- * E-mail: (HZ); (QQ)
| |
Collapse
|
72
|
Modeling poliovirus replication dynamics from live time-lapse single-cell imaging data. Sci Rep 2021; 11:9622. [PMID: 33953215 PMCID: PMC8100109 DOI: 10.1038/s41598-021-87694-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Accepted: 03/15/2021] [Indexed: 02/03/2023] Open
Abstract
Viruses experience selective pressure on the timing and order of events during infection to maximize the number of viable offspring they produce. Additionally, they may experience variability in cellular environments encountered, as individual eukaryotic cells can display variation in gene expression among cells. This leads to a dynamic phenotypic landscape that viruses must face to replicate. To examine replication dynamics displayed by viruses faced with this variable landscape, we have developed a method for fitting a stochastic mechanistic model of viral infection to time-lapse imaging data from high-throughput single-cell poliovirus infection experiments. The model's mechanistic parameters provide estimates of several aspects associated with the virus's intracellular dynamics. We examine distributions of parameter estimates and assess their variability to gain insight into the root causes of variability in viral growth dynamics. We also fit our model to experiments performed under various drug treatments and examine which parameters differ under these conditions. We find that parameters associated with translation and early stage viral replication processes are essential for the model to capture experimentally observed dynamics. In aggregate, our results suggest that differences in viral growth data generated under different treatments can largely be captured by steps that occur early in the replication process.
Collapse
|
73
|
Phan T, Fay EJ, Lee Z, Aron S, Hu WS, Langlois RA. Segment-specific kinetics of mRNA, cRNA and vRNA accumulation during influenza infection. J Virol 2021; 95:JVI.02102-20. [PMID: 33658346 PMCID: PMC8139675 DOI: 10.1128/jvi.02102-20] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Accepted: 02/18/2021] [Indexed: 12/11/2022] Open
Abstract
Influenza A virus (IAV) is a segmented negative-sense RNA virus and is the cause of major epidemics and pandemics. The replication of IAV is complex, involving the production of three distinct RNA species; mRNA, cRNA, and vRNA for all eight genome segments. While understanding IAV replication kinetics is important for drug development and improving vaccine production, current methods for studying IAV kinetics has been limited by the ability to detect all three different RNA species in a scalable manner. Here we report the development of a novel pipeline using total stranded RNA-Seq, which we named Influenza Virus Enumerator of RNA Transcripts (InVERT), that allows for the simultaneous quantification of all three RNA species produced by IAV. Using InVERT, we provide a full landscape of the IAV replication kinetics and found that different groups of viral genes follow different kinetics. The segments coding for RNA-dependent RNA Polymerase (RdRP) produced more vRNA than mRNA while some other segments (NP, NS, HA) consistently made more mRNA than vRNA. vRNA expression levels did not correlate with cRNA expression, suggesting complex regulation of vRNA synthesis. Furthermore, by studying the kinetics of a virus lacking the capacity to generate new polymerase complexes, we found evidence that further supports the model that cRNA synthesis requires newly synthesized RdRP and that incoming RdRP can only generate mRNA. Overall, InVERT is a powerful tool for quantifying IAV RNA species to elucidate key features of IAV replication.ImportanceInfluenza A virus (IAV) is a respiratory pathogen that has caused significant mortality throughout history and remains a global threat to human health. Although much is known about IAV replication, the regulation of IAV replication dynamics is not completely understood. This is due in part to both technical limitations and the complexity of the virus replication, which has a segmented genome and produces three distinct RNA species for each gene segment. We developed a new approach that allows the methodical study of IAV replication kinetics, shedding light on many interesting features of IAV replication biology. This study advances our understanding of the kinetics of IAV replication and will help to facilitate future research in the field.
Collapse
Affiliation(s)
- Thu Phan
- Department of Chemical Engineering and Materials Sciences, University of Minnesota, Minneapolis, MN, United States of America
| | - Elizabeth J Fay
- Biochemistry, Molecular Biology and Biophysics Graduate Program, University of Minnesota, Minneapolis MN, United States of America
| | - Zion Lee
- Department of Chemical Engineering and Materials Sciences, University of Minnesota, Minneapolis, MN, United States of America
| | - Stephanie Aron
- Department of Microbiology and Immunology, University of Minnesota, Minneapolis MN, United States of America
| | - Wei-Shou Hu
- Department of Chemical Engineering and Materials Sciences, University of Minnesota, Minneapolis, MN, United States of America
| | - Ryan A Langlois
- Biochemistry, Molecular Biology and Biophysics Graduate Program, University of Minnesota, Minneapolis MN, United States of America
- Department of Microbiology and Immunology, University of Minnesota, Minneapolis MN, United States of America
| |
Collapse
|
74
|
The transcriptional landscape of Venezuelan equine encephalitis virus (TC-83) infection. PLoS Negl Trop Dis 2021; 15:e0009306. [PMID: 33788849 PMCID: PMC8041203 DOI: 10.1371/journal.pntd.0009306] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 04/12/2021] [Accepted: 03/12/2021] [Indexed: 01/10/2023] Open
Abstract
Venezuelan Equine Encephalitis Virus (VEEV) is a major biothreat agent that naturally causes outbreaks in humans and horses particularly in tropical areas of the western hemisphere, for which no antiviral therapy is currently available. The host response to VEEV and the cellular factors this alphavirus hijacks to support its effective replication or evade cellular immune responses are largely uncharacterized. We have previously demonstrated tremendous cell-to-cell heterogeneity in viral RNA (vRNA) and cellular transcript levels during flaviviral infection using a novel virus-inclusive single-cell RNA-Seq approach. Here, we used this unbiased, genome-wide approach to simultaneously profile the host transcriptome and vRNA in thousands of single cells during infection of human astrocytes with the live-attenuated vaccine strain of VEEV (TC-83). Host transcription was profoundly suppressed, yet “superproducer cells” with extremely high vRNA abundance emerged during the first viral life cycle and demonstrated an altered transcriptome relative to both uninfected cells and cells with high vRNA abundance harvested at later time points. Additionally, cells with increased structural-to-nonstructural transcript ratio exhibited upregulation of intracellular membrane trafficking genes at later time points. Loss- and gain-of-function experiments confirmed pro- and antiviral activities in both vaccine and virulent VEEV infections among the products of transcripts that positively or negatively correlated with vRNA abundance, respectively. Lastly, comparison with single cell transcriptomic data from other viruses highlighted common and unique pathways perturbed by infection across evolutionary scales. This study provides a high-resolution characterization of the VEEV (TC-83)-host interplay, identifies candidate targets for antivirals, and establishes a comparative single-cell approach to study the evolution of virus-host interactions. Little is known about the host response to Venezuelan Equine Encephalitis Virus (VEEV) and the cellular factors this alphavirus hijacks to support effective replication or evade cellular immune responses. Monitoring dynamics of host and viral RNA (vRNA) during viral infection at a single-cell level can provide insight into the virus-host interplay at a high resolution. Here, a single-cell RNA sequencing technology that detects host and viral RNA was used to investigate the interactions between TC-83, the vaccine strain of VEEV, and the human host during the course of infection of U-87 MG cells (human astrocytoma). Virus abundance and host transcriptome were heterogeneous across cells from the same culture. Subsets of differentially expressed genes, positively or negatively correlating with vRNA abundance, were identified and subsequently in vitro validated as candidate proviral and antiviral factors, respectively, in TC-83 and/or virulent VEEV infections. In the first replication cycle, “superproducer” cells exhibited rapid increase in vRNA abundance and unique gene expression patterns. At later time points, cells with increased structural-to-nonstructural transcript ratio demonstrated upregulation of intracellular membrane trafficking genes. Lastly, comparing the VEEV dataset with published datasets on other RNA viruses revealed unique and overlapping responses across viral clades. Overall, this study improves the understanding of VEEV-host interactions, reveals candidate targets for antiviral approaches, and establishes a comparative single-cell approach to study the evolution of virus-host interactions.
Collapse
|
75
|
Krischuns T, Lukarska M, Naffakh N, Cusack S. Influenza Virus RNA-Dependent RNA Polymerase and the Host Transcriptional Apparatus. Annu Rev Biochem 2021; 90:321-348. [PMID: 33770447 DOI: 10.1146/annurev-biochem-072820-100645] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Influenza virus RNA-dependent RNA polymerase (FluPol) transcribes the viral RNA genome in the infected cell nucleus. In the 1970s, researchers showed that viral transcription depends on host RNA polymerase II (RNAP II) activity and subsequently that FluPol snatches capped oligomers from nascent RNAP II transcripts to prime its own transcription. Exactly how this occurs remains elusive. Here, we review recent advances in the mechanistic understanding of FluPol transcription and early events in RNAP II transcription that are relevant to cap-snatching. We describe the known direct interactions between FluPol and the RNAP II C-terminal domain and summarize the transcription-related host factors that have been found to interact with FluPol. We also discuss open questions regarding how FluPol may be targeted to actively transcribing RNAP II and the exact context and timing of cap-snatching, which is presumed to occur after cap completion but before the cap is sequestered by the nuclear cap-binding complex.
Collapse
Affiliation(s)
- Tim Krischuns
- Unité Biologie des ARN et Virus Influenza, Département de Virologie, Institut Pasteur, CNRS UMR 3569, F-75015 Paris, France; ,
| | - Maria Lukarska
- European Molecular Biology Laboratory, 38042 Grenoble CEDEX 9, France; .,Current affiliation: Department of Molecular and Cell Biology, University of California, Berkeley, California 94720, USA;
| | - Nadia Naffakh
- Unité Biologie des ARN et Virus Influenza, Département de Virologie, Institut Pasteur, CNRS UMR 3569, F-75015 Paris, France; ,
| | - Stephen Cusack
- European Molecular Biology Laboratory, 38042 Grenoble CEDEX 9, France;
| |
Collapse
|
76
|
Wyler E, Mösbauer K, Franke V, Diag A, Gottula LT, Arsiè R, Klironomos F, Koppstein D, Hönzke K, Ayoub S, Buccitelli C, Hoffmann K, Richter A, Legnini I, Ivanov A, Mari T, Del Giudice S, Papies J, Praktiknjo S, Meyer TF, Müller MA, Niemeyer D, Hocke A, Selbach M, Akalin A, Rajewsky N, Drosten C, Landthaler M. Transcriptomic profiling of SARS-CoV-2 infected human cell lines identifies HSP90 as target for COVID-19 therapy. iScience 2021; 24:102151. [PMID: 33585804 PMCID: PMC7866843 DOI: 10.1016/j.isci.2021.102151] [Citation(s) in RCA: 165] [Impact Index Per Article: 55.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 10/20/2020] [Accepted: 02/02/2021] [Indexed: 02/07/2023] Open
Abstract
Detailed knowledge of the molecular biology of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is crucial for understanding of viral replication, host responses, and disease progression. Here, we report gene expression profiles of three SARS-CoV- and SARS-CoV-2-infected human cell lines. SARS-CoV-2 elicited an approximately two-fold higher stimulation of the innate immune response compared to SARS-CoV in the human epithelial cell line Calu-3, including induction of miRNA-155. Single-cell RNA sequencing of infected cells showed that genes induced by virus infections were broadly upregulated, whereas interferon beta/lambda genes, a pro-inflammatory cytokines such as IL-6, were expressed only in small subsets of infected cells. Temporal analysis suggested that transcriptional activities of interferon regulatory factors precede those of nuclear factor κB. Lastly, we identified heat shock protein 90 (HSP90) as a protein relevant for the infection. Inhibition of the HSP90 activity resulted in a reduction of viral replication and pro-inflammatory cytokine expression in primary human airway epithelial cells.
Collapse
Affiliation(s)
- Emanuel Wyler
- Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Hannoversche Str 28, 10115 Berlin, Germany
| | - Kirstin Mösbauer
- Institute of Virology, Charité-Universitätsmedizin Berlin and Berlin Institute of Health, Charitéplatz 1, 10117 Berlin, Germany
| | - Vedran Franke
- Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Hannoversche Str 28, 10115 Berlin, Germany
| | - Asija Diag
- Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Hannoversche Str 28, 10115 Berlin, Germany
| | - Lina Theresa Gottula
- Institute of Virology, Charité-Universitätsmedizin Berlin and Berlin Institute of Health, Charitéplatz 1, 10117 Berlin, Germany
| | - Roberto Arsiè
- Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Hannoversche Str 28, 10115 Berlin, Germany
| | - Filippos Klironomos
- Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Hannoversche Str 28, 10115 Berlin, Germany
- Department of Pediatrics, Charité – University Hospital Berlin, 13353 Berlin, Germany
| | - David Koppstein
- Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Hannoversche Str 28, 10115 Berlin, Germany
| | - Katja Hönzke
- Department of Internal Medicine/Infectious Diseases and Pulmonary Medicine, Charité University Medicine, Berlin, Germany
| | - Salah Ayoub
- Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Hannoversche Str 28, 10115 Berlin, Germany
| | - Christopher Buccitelli
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Robert-Rössle-Strasse 10, 13125 Berlin, Germany
| | - Karen Hoffmann
- Department of Internal Medicine/Infectious Diseases and Pulmonary Medicine, Charité University Medicine, Berlin, Germany
| | - Anja Richter
- Institute of Virology, Charité-Universitätsmedizin Berlin and Berlin Institute of Health, Charitéplatz 1, 10117 Berlin, Germany
| | - Ivano Legnini
- Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Hannoversche Str 28, 10115 Berlin, Germany
| | - Andranik Ivanov
- Core Unit Bioinformatics, Berlin Institute of Health, Charité – University Hospital Berlin, 10117 Berlin, Germany
| | - Tommaso Mari
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Robert-Rössle-Strasse 10, 13125 Berlin, Germany
| | - Simone Del Giudice
- Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Hannoversche Str 28, 10115 Berlin, Germany
| | - Jan Papies
- Institute of Virology, Charité-Universitätsmedizin Berlin and Berlin Institute of Health, Charitéplatz 1, 10117 Berlin, Germany
| | - Samantha Praktiknjo
- Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Hannoversche Str 28, 10115 Berlin, Germany
| | - Thomas F. Meyer
- Laboratory of Infection Oncology, Institute of Clinical Molecular Biology, UKSH, Christian Albrechts University of Kiel, 24105 Kiel, Germany
| | - Marcel Alexander Müller
- Institute of Virology, Charité-Universitätsmedizin Berlin and Berlin Institute of Health, Charitéplatz 1, 10117 Berlin, Germany
| | - Daniela Niemeyer
- Institute of Virology, Charité-Universitätsmedizin Berlin and Berlin Institute of Health, Charitéplatz 1, 10117 Berlin, Germany
| | - Andreas Hocke
- Department of Internal Medicine/Infectious Diseases and Pulmonary Medicine, Charité University Medicine, Berlin, Germany
| | - Matthias Selbach
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Robert-Rössle-Strasse 10, 13125 Berlin, Germany
| | - Altuna Akalin
- Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Hannoversche Str 28, 10115 Berlin, Germany
| | - Nikolaus Rajewsky
- Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Hannoversche Str 28, 10115 Berlin, Germany
| | - Christian Drosten
- Institute of Virology, Charité-Universitätsmedizin Berlin and Berlin Institute of Health, Charitéplatz 1, 10117 Berlin, Germany
| | - Markus Landthaler
- Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Hannoversche Str 28, 10115 Berlin, Germany
- IRI Life Sciences, Institut für Biologie, Humboldt Universität zu Berlin, Philippstraße 13, 10115 Berlin, Germany
| |
Collapse
|
77
|
Single-Cell Transcriptomics Reveals a Heterogeneous Cellular Response to BK Virus Infection. J Virol 2021; 95:JVI.02237-20. [PMID: 33361432 DOI: 10.1128/jvi.02237-20] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Accepted: 12/16/2020] [Indexed: 12/14/2022] Open
Abstract
BK virus (BKV) is a human polyomavirus that is generally harmless but can cause devastating disease in immunosuppressed individuals. BKV infection of renal cells is a common problem for kidney transplant patients undergoing immunosuppressive therapy. In cultured primary human renal proximal tubule epithelial (RPTE) cells, BKV undergoes a productive infection. The BKV-encoded large T antigen (LT) induces cell cycle entry, resulting in the upregulation of numerous genes associated with cell proliferation. Consistently, microarray and transcriptome sequencing (RNA-seq) experiments performed on bulk infected cell populations identified several proliferation-related pathways that are upregulated by BKV. These studies revealed few genes that are downregulated. In this study, we analyzed viral and cellular transcripts in single mock- or BKV-infected cells. We found that the levels of viral mRNAs vary widely among infected cells, resulting in different levels of LT and viral capsid protein expression. Cells expressing the highest levels of viral transcripts account for approximately 20% of the culture and have a gene expression pattern that is distinct from that of cells expressing lower levels of viral mRNAs. Surprisingly, cells expressing low levels of viral mRNA do not progress with time to high expression, suggesting that the two cellular responses are determined prior to or shortly following infection. Finally, comparison of cellular gene expression patterns of cells expressing high levels of viral mRNA with those of mock-infected cells or cells expressing low levels of viral mRNA revealed previously unidentified pathways that are downregulated by BKV. Among these are pathways associated with drug metabolism and detoxification, tumor necrosis factor (TNF) signaling, energy metabolism, and translation.IMPORTANCE The outcome of viral infection is determined by the ability of the virus to redirect cellular systems toward progeny production countered by the ability of the cell to block these viral actions. Thus, an infected culture consists of thousands of cells, each fighting its own individual battle. Bulk measurements, such as PCR or RNA-seq, measure the average of these individual responses to infection. Single-cell transcriptomics provides a window to the one-on-one battle between BKV and each cell. Our studies reveal that only a minority of infected cells are overwhelmed by the virus and produce large amounts of BKV mRNAs and proteins, while the infection appears to be restricted in the remaining cells. Correlation of viral transcript levels with cellular gene expression patterns reveals pathways manipulated by BKV that may play a role in limiting infection.
Collapse
|
78
|
Kuo RL, Chen YT, Li HA, Wu CC, Chiang HC, Lin JY, Huang HI, Shih SR, Chin-Ming Tan B. Molecular determinants and heterogeneity underlying host response to EV-A71 infection at single-cell resolution. RNA Biol 2021; 18:796-808. [PMID: 33406999 DOI: 10.1080/15476286.2021.1872976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
Abstract
The pathogenic human enterovirus EV-A71 has raised serious public health concerns. A hallmark of EV-A71 infection is the distortion of host transcriptomes in favour of viral replication. While high-throughput approaches have been exploited to dissect these gene dysregulations, they do not fully capture molecular perturbations at the single-cell level and in a physiologically relevant context. In this study, we applied a single-cell RNA sequencing approach on infected differentiated enterocyte cells (C2BBe1), which model the gastrointestinal epithelium targeted initially by EV-A71. Our single-cell analysis of EV-A71-infected culture provided several lines of illuminating observations: 1) This systems approach demonstrated extensive cell-to-cell variation in a single culture upon viral infection and delineated transcriptomic differences between the EV-A71-infected and bystander cells. 2) By analysing expression profiles of known EV-A71 receptors and entry facilitation factors, we found that ANXA2 was closely correlated in expression with the viral RNA in the infected population, supporting its role in EV-A71 entry in the enteric cells. 3) We further catalogued dysregulated lncRNAs elicited by EV-A71 infection and demonstrated the functional implication of lncRNA CYTOR in promoting EV-A71 replication. Viewed together, our single-cell transcriptomic analysis illustrated at the single-cell resolution the heterogeneity of host susceptibility to EV-A71 and revealed the involvement of lncRNAs in host antiviral response.
Collapse
Affiliation(s)
- Rei-Lin Kuo
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Division of Allergy, Asthma, and Rheumatology, Department of Pediatrics, Chang Gung Memorial Hospital, Linkou, Taiwan
| | - Yi-Tung Chen
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Department of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Huai-An Li
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Chih-Ching Wu
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Department of Otolaryngology-Head & Neck Surgery, Linkou Chang Gung Memorial Hospital, Linkou, Taiwan
| | - Hsiao-Chu Chiang
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Jhao-Yin Lin
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Hsing-I Huang
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Division of Hematology/Oncology, Department of Pediatrics, Chang Gung Memorial Hospital, Linkou, Taiwan
| | - Shin-Ru Shih
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Clinical Virology Laboratory, Chang Gung Memorial Hospital, Linkou, Taiwan
| | - Bertrand Chin-Ming Tan
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Department of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Department of Neurosurgery, Lin-Kou Medical Center, Chang Gung Memorial Hospital, Linkou, Taiwan
| |
Collapse
|
79
|
Ganguly R, Lee B, Kang S, Kim YS, Jeong SG, Kim JS, Park SY, Yohei Y, Lee CS. Microfluidic Single-cell Trapping and Cultivation for the Analysis of Host-viral Interactions. BIOTECHNOL BIOPROC E 2021. [DOI: 10.1007/s12257-020-0143-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
|
80
|
Cavallaro M, Walsh MD, Jones M, Teahan J, Tiberi S, Finkenstädt B, Hebenstreit D. 3 '-5 ' crosstalk contributes to transcriptional bursting. Genome Biol 2021; 22:56. [PMID: 33541397 PMCID: PMC7860045 DOI: 10.1186/s13059-020-02227-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Accepted: 12/08/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Transcription in mammalian cells is a complex stochastic process involving shuttling of polymerase between genes and phase-separated liquid condensates. It occurs in bursts, which results in vastly different numbers of an mRNA species in isogenic cell populations. Several factors contributing to transcriptional bursting have been identified, usually classified as intrinsic, in other words local to single genes, or extrinsic, relating to the macroscopic state of the cell. However, some possible contributors have not been explored yet. Here, we focus on processes at the 3 ' and 5 ' ends of a gene that enable reinitiation of transcription upon termination. RESULTS Using Bayesian methodology, we measure the transcriptional bursting in inducible transgenes, showing that perturbation of polymerase shuttling typically reduces burst size, increases burst frequency, and thus limits transcriptional noise. Analysis based on paired-end tag sequencing (PolII ChIA-PET) suggests that this effect is genome wide. The observed noise patterns are also reproduced by a generative model that captures major characteristics of the polymerase flux between the ends of a gene and a phase-separated compartment. CONCLUSIONS Interactions between the 3 ' and 5 ' ends of a gene, which facilitate polymerase recycling, are major contributors to transcriptional noise.
Collapse
Affiliation(s)
- Massimo Cavallaro
- School of Life Sciences, University of Warwick, Coventry, UK.
- Mathematics Institute and Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, UK.
- Department of Statistics, University of Warwick, Coventry, UK.
| | - Mark D Walsh
- School of Life Sciences, University of Warwick, Coventry, UK
| | - Matt Jones
- School of Life Sciences, University of Warwick, Coventry, UK
| | - James Teahan
- Department of Chemistry, University of Warwick, Coventry, UK
| | - Simone Tiberi
- Institute of Molecular Life Sciences and Swiss Institute of Bioinformatics, University of Zurich, Zurich, Switzerland
| | | | | |
Collapse
|
81
|
Ghorbani A, Abundo MC, Ji H, Taylor KJM, Ngunjiri JM, Lee CW. Viral Subpopulation Screening Guides in Designing a High Interferon-Inducing Live Attenuated Influenza Vaccine by Targeting Rare Mutations in NS1 and PB2 Proteins. J Virol 2020; 95:e01722-20. [PMID: 33115873 PMCID: PMC7944443 DOI: 10.1128/jvi.01722-20] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Accepted: 10/20/2020] [Indexed: 12/20/2022] Open
Abstract
Influenza A viruses continue to circulate among wild birds and poultry worldwide, posing constant pandemic threats to humans. Effective control of emerging influenza viruses requires new broadly protective vaccines. Live attenuated influenza vaccines with truncations in nonstructural protein 1 (NS1) have shown broad protective efficacies in birds and mammals, which correlate with the ability to induce elevated interferon responses in the vaccinated hosts. Given the extreme diversity of influenza virus populations, we asked if we could improve an NS1-truncated live attenuated influenza vaccine developed for poultry (PC4) by selecting viral subpopulations with enhanced interferon-inducing capacities. Here, we deconstructed a de novo population of PC4 through plaque isolation, created a large library of clones, and assessed their interferon-inducing phenotypes. While most of the clones displayed the parental interferon-inducing phenotype in cell culture, few clones showed enhanced interferon-inducing phenotypes in cell culture and chickens. The enhanced interferon-inducing phenotypes were linked to either a deletion in NS1 (NS1Δ76-86) or a substitution in polymerase basic 2 protein (PB2-D309N). The NS1Δ76-86 deletion disrupted the putative eukaryotic translation initiation factor 4GI-binding domain and promoted the synthesis of biologically active interferons. The PB2-D309N substitution enhanced the early transcription of interferon mRNA, revealing a novel role for the 309D residue in suppression of interferon responses. We combined these mutations to engineer a novel vaccine candidate that induced additive amounts of interferons and stimulated protective immunity in chickens. Therefore, viral subpopulation screening approaches can guide the design of live vaccines with strong immunostimulatory properties.IMPORTANCE Effectiveness of NS1-truncated live attenuated influenza vaccines relies heavily on their ability to induce elevated interferon responses in vaccinated hosts. Influenza viruses contain diverse particle subpopulations with distinct phenotypes. We show that live influenza vaccines can contain underappreciated subpopulations with enhanced interferon-inducing phenotypes. The genomic traits of such virus subpopulations can be used to further improve the efficacy of the current live vaccines.
Collapse
Affiliation(s)
- Amir Ghorbani
- Food Animal Health Research Program, Ohio Agricultural Research and Development Center, The Ohio State University, Wooster, Ohio, USA
- Department of Veterinary Preventive Medicine, College of Veterinary Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Michael C Abundo
- Food Animal Health Research Program, Ohio Agricultural Research and Development Center, The Ohio State University, Wooster, Ohio, USA
| | - Hana Ji
- Food Animal Health Research Program, Ohio Agricultural Research and Development Center, The Ohio State University, Wooster, Ohio, USA
- Department of Veterinary Preventive Medicine, College of Veterinary Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Kara J M Taylor
- Food Animal Health Research Program, Ohio Agricultural Research and Development Center, The Ohio State University, Wooster, Ohio, USA
| | - John M Ngunjiri
- Food Animal Health Research Program, Ohio Agricultural Research and Development Center, The Ohio State University, Wooster, Ohio, USA
| | - Chang-Won Lee
- Food Animal Health Research Program, Ohio Agricultural Research and Development Center, The Ohio State University, Wooster, Ohio, USA
- Department of Veterinary Preventive Medicine, College of Veterinary Medicine, The Ohio State University, Columbus, Ohio, USA
| |
Collapse
|
82
|
Wang S, Zhang Q, Hui H, Agrawal K, Karris MAY, Rana TM. An atlas of immune cell exhaustion in HIV-infected individuals revealed by single-cell transcriptomics. Emerg Microbes Infect 2020; 9:2333-2347. [PMID: 32954948 PMCID: PMC7646563 DOI: 10.1080/22221751.2020.1826361] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Revised: 09/15/2020] [Accepted: 09/16/2020] [Indexed: 02/07/2023]
Abstract
Chronic infection with human immunodeficiency virus (HIV) can cause progressive loss of immune cell function, or exhaustion, which impairs control of virus replication. However, little is known about the development and maintenance, as well as heterogeneity of immune cell exhaustion. Here, we investigated the effects of HIV infection on immune cell exhaustion at the transcriptomic level by analyzing single-cell RNA sequencing of peripheral blood mononuclear cells from four healthy subjects (37,847 cells) and six HIV-infected donors (28,610 cells). We identified nine immune cell clusters and eight T cell subclusters, and three of these (exhausted CD4+ and CD8+ T cells and interferon-responsive CD8+ T cells) were detected only in samples from HIV-infected donors. An inhibitory receptor KLRG1 was identified in a HIV-1 specific exhausted CD8+ T cell population expressing KLRG1, TIGIT, and T-betdimEomeshi markers. Ex-vivo antibody blockade of KLRG1 restored the function of HIV-specific exhausted CD8+ T cells demonstrating the contribution of KLRG1+ population to T cell exhaustion and providing an immunotherapy target to treat HIV chronic infection. These data provide a comprehensive analysis of gene signatures associated with immune cell exhaustion during HIV infection, which could be useful in understanding exhaustion mechanisms and developing new cure therapies.
Collapse
Affiliation(s)
- Shaobo Wang
- Department of Pediatrics, Division of Genetics, Institute for Genomic Medicine, Program in Immunology, University of California San Diego, La Jolla, CA, USA
- UCSD Center for AIDS Research, University of California San Diego, La Jolla, CA, USA
| | - Qiong Zhang
- Department of Pediatrics, Division of Genetics, Institute for Genomic Medicine, Program in Immunology, University of California San Diego, La Jolla, CA, USA
- UCSD Center for AIDS Research, University of California San Diego, La Jolla, CA, USA
| | - Hui Hui
- Department of Pediatrics, Division of Genetics, Institute for Genomic Medicine, Program in Immunology, University of California San Diego, La Jolla, CA, USA
- Department of Biology, Bioinformatics Program, University of California San Diego, La Jolla, CA, USA
| | - Kriti Agrawal
- Department of Pediatrics, Division of Genetics, Institute for Genomic Medicine, Program in Immunology, University of California San Diego, La Jolla, CA, USA
- Department of Biology, Bioinformatics Program, University of California San Diego, La Jolla, CA, USA
| | - Maile Ann Young Karris
- Department of Medicine, Division of Infectious Diseases, University of California San Diego, La Jolla, CA, USA
| | - Tariq M. Rana
- Department of Pediatrics, Division of Genetics, Institute for Genomic Medicine, Program in Immunology, University of California San Diego, La Jolla, CA, USA
- UCSD Center for AIDS Research, University of California San Diego, La Jolla, CA, USA
| |
Collapse
|
83
|
Schaack GA, Mehle A. Experimental Approaches to Identify Host Factors Important for Influenza Virus. Cold Spring Harb Perspect Med 2020; 10:cshperspect.a038521. [PMID: 31871241 DOI: 10.1101/cshperspect.a038521] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
An ever-expanding toolkit of experimental methods provides the means to discover and characterize host factors important for influenza virus. Here, we describe common methods for investigating genetic relationships and physical interactions between virus and host. A comprehensive knowledge of host:virus interactions is key to understanding how influenza virus exploits the host cell and to potentially identify vulnerabilities that may be manipulated to prevent or treat disease.
Collapse
Affiliation(s)
- Grace A Schaack
- Department of Medical Microbiology and Immunology, University of Wisconsin Madison, Madison, Wisconsin 53706, USA
| | - Andrew Mehle
- Department of Medical Microbiology and Immunology, University of Wisconsin Madison, Madison, Wisconsin 53706, USA
| |
Collapse
|
84
|
Kotliar D, Lin AE, Logue J, Hughes TK, Khoury NM, Raju SS, Wadsworth MH, Chen H, Kurtz JR, Dighero-Kemp B, Bjornson ZB, Mukherjee N, Sellers BA, Tran N, Bauer MR, Adams GC, Adams R, Rinn JL, Melé M, Schaffner SF, Nolan GP, Barnes KG, Hensley LE, McIlwain DR, Shalek AK, Sabeti PC, Bennett RS. Single-Cell Profiling of Ebola Virus Disease In Vivo Reveals Viral and Host Dynamics. Cell 2020; 183:1383-1401.e19. [PMID: 33159858 PMCID: PMC7707107 DOI: 10.1016/j.cell.2020.10.002] [Citation(s) in RCA: 71] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 08/10/2020] [Accepted: 10/02/2020] [Indexed: 12/14/2022]
Abstract
Ebola virus (EBOV) causes epidemics with high mortality yet remains understudied due to the challenge of experimentation in high-containment and outbreak settings. Here, we used single-cell transcriptomics and CyTOF-based single-cell protein quantification to characterize peripheral immune cells during EBOV infection in rhesus monkeys. We obtained 100,000 transcriptomes and 15,000,000 protein profiles, finding that immature, proliferative monocyte-lineage cells with reduced antigen-presentation capacity replace conventional monocyte subsets, while lymphocytes upregulate apoptosis genes and decline in abundance. By quantifying intracellular viral RNA, we identify molecular determinants of tropism among circulating immune cells and examine temporal dynamics in viral and host gene expression. Within infected cells, EBOV downregulates STAT1 mRNA and interferon signaling, and it upregulates putative pro-viral genes (e.g., DYNLL1 and HSPA5), nominating pathways the virus manipulates for its replication. This study sheds light on EBOV tropism, replication dynamics, and elicited immune response and provides a framework for characterizing host-virus interactions under maximum containment.
Collapse
Affiliation(s)
- Dylan Kotliar
- Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA; FAS Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.
| | - Aaron E Lin
- FAS Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Harvard Program in Virology, Harvard Medical School, Boston, MA 02115, USA.
| | - James Logue
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD 21702, USA
| | - Travis K Hughes
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Department of Chemistry, Institute for Medical Engineering and Sciences (IMES), and Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA 02142, USA; Ragon Institute of MGH, Harvard, and MIT, Cambridge, MA 02139, USA
| | - Nadine M Khoury
- FAS Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Siddharth S Raju
- Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA; FAS Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Marc H Wadsworth
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Chemistry, Institute for Medical Engineering and Sciences (IMES), and Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA 02142, USA; Ragon Institute of MGH, Harvard, and MIT, Cambridge, MA 02139, USA
| | - Han Chen
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Jonathan R Kurtz
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD 21702, USA
| | - Bonnie Dighero-Kemp
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD 21702, USA
| | - Zach B Bjornson
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | | | - Brian A Sellers
- Trans-NIH Center for Human Immunology, Autoimmunity, and Inflammation, National Institutes of Health, Bethesda, MD 20814, USA
| | - Nancy Tran
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Ragon Institute of MGH, Harvard, and MIT, Cambridge, MA 02139, USA
| | - Matthew R Bauer
- FAS Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Gordon C Adams
- FAS Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Ricky Adams
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD 21702, USA
| | - John L Rinn
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; BioFrontiers Institute, University of Colorado Boulder, Boulder, CO 80303, USA
| | - Marta Melé
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Life Sciences Department, Barcelona Supercomputing Center, Barcelona, Catalonia 08034, Spain
| | - Stephen F Schaffner
- FAS Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA
| | - Garry P Nolan
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Kayla G Barnes
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA; MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK
| | - Lisa E Hensley
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD 21702, USA.
| | - David R McIlwain
- Department of Pathology, Stanford University, Stanford, CA 94305, USA.
| | - Alex K Shalek
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Department of Chemistry, Institute for Medical Engineering and Sciences (IMES), and Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA 02142, USA; Ragon Institute of MGH, Harvard, and MIT, Cambridge, MA 02139, USA
| | - Pardis C Sabeti
- FAS Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
| | - Richard S Bennett
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD 21702, USA
| |
Collapse
|
85
|
Suomalainen M, Prasad V, Kannan A, Greber UF. Cell-to-cell and genome-to-genome variability of adenovirus transcription tuned by the cell cycle. J Cell Sci 2020; 134:jcs252544. [PMID: 32917739 DOI: 10.1242/jcs.252544] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Accepted: 08/27/2020] [Indexed: 12/11/2022] Open
Abstract
In clonal cultures, not all cells are equally susceptible to virus infection, and the mechanisms underlying this are poorly understood. Here, we developed image-based single-cell measurements to scrutinize the heterogeneity of adenovirus (AdV) infection. AdV delivers, transcribes and replicates a linear double-stranded DNA genome in the nucleus. We measured the abundance of viral transcripts using single-molecule RNA fluorescence in situ hybridization (FISH) and the incoming 5-ethynyl-2'-deoxycytidine (EdC)-tagged viral genomes using a copper(I)-catalyzed azide-alkyne cycloaddition (click) reaction. Surprisingly, expression of the immediate early gene E1A only moderately correlated with the number of viral genomes in the cell nucleus. Intranuclear genome-to-genome heterogeneity was found at the level of viral transcription and, in accordance, individual genomes exhibited heterogeneous replication activity. By analyzing the cell cycle state, we found that G1 cells exhibited the highest E1A gene expression and displayed increased correlation between E1A gene expression and viral genome copy numbers. The combined image-based single-molecule procedures described here are ideally suited to explore the cell-to-cell variability in viral gene expression in a range of different settings, including the innate immune response.
Collapse
Affiliation(s)
- Maarit Suomalainen
- Department of Molecular Life Sciences, University of Zurich, 8057 Zurich, Switzerland
| | - Vibhu Prasad
- Department of Molecular Life Sciences, University of Zurich, 8057 Zurich, Switzerland
| | - Abhilash Kannan
- Department of Molecular Life Sciences, University of Zurich, 8057 Zurich, Switzerland
| | - Urs F Greber
- Department of Molecular Life Sciences, University of Zurich, 8057 Zurich, Switzerland
| |
Collapse
|
86
|
tenOever BR. Synthetic Virology: Building Viruses to Better Understand Them. Cold Spring Harb Perspect Med 2020; 10:cshperspect.a038703. [PMID: 31871242 DOI: 10.1101/cshperspect.a038703] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Generally comprised of less than a dozen components, RNA viruses can be viewed as well-designed genetic circuits optimized to replicate and spread within a given host. Understanding the molecular design that enables this activity not only allows one to disrupt these circuits to study their biology, but it provides a reprogramming framework to achieve novel outputs. Recent advances have enabled a "learning by building" approach to better understand virus biology and create valuable tools. Below is a summary of how modifying the preexisting genetic framework of influenza A virus has been used to track viral movement, understand virus replication, and identify host factors that engage this viral circuitry.
Collapse
Affiliation(s)
- Benjamin R tenOever
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
| |
Collapse
|
87
|
Cambien B, Lebrigand K, Baeri A, Nottet N, Compin C, Lamit A, Ferraris O, Peyrefitte CN, Magnone V, Henriques J, Zaragosi LE, Giorgetti-Peraldi S, Bost F, Gautier-Isola M, Rezzonico R, Barbry P, Barthel R, Mari B, Vassaux G. Identification of oncolytic vaccinia restriction factors in canine high-grade mammary tumor cells using single-cell transcriptomics. PLoS Pathog 2020; 16:e1008660. [PMID: 33075093 PMCID: PMC7595618 DOI: 10.1371/journal.ppat.1008660] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2020] [Revised: 10/29/2020] [Accepted: 09/01/2020] [Indexed: 01/13/2023] Open
Abstract
Mammary carcinoma, including triple-negative breast carcinomas (TNBC) are tumor-types for which human and canine pathologies are closely related at the molecular level. The efficacy of an oncolytic vaccinia virus (VV) was compared in low-passage primary carcinoma cells from TNBC versus non-TNBC. Non-TNBC cells were 28 fold more sensitive to VV than TNBC cells in which VV replication is impaired. Single-cell RNA-seq performed on two different TNBC cell samples, infected or not with VV, highlighted three distinct populations: naïve cells, bystander cells, defined as cells exposed to the virus but not infected and infected cells. The transcriptomes of these three populations showed striking variations in the modulation of pathways regulated by cytokines and growth factors. We hypothesized that the pool of genes expressed in the bystander populations was enriched in antiviral genes. Bioinformatic analysis suggested that the reduced activity of the virus was associated with a higher mesenchymal status of the cells. In addition, we demonstrated experimentally that high expression of one gene, DDIT4, is detrimental to VV production. Considering that DDIT4 is associated with a poor prognosis in various cancers including TNBC, our data highlight DDIT4 as a candidate resistance marker for oncolytic poxvirus therapy. This information could be used to design new generations of oncolytic poxviruses. Beyond the field of gene therapy, this study demonstrates that single-cell transcriptomics can be used to identify cellular factors influencing viral replication. The identification of cellular genes influencing viral replication/propagation has been studied using hypothesis-driven approaches and/or high-throughput RNA interference screens. In the present report, we propose a methodology based on single-cell transcriptomics. We have studied, in the context of oncolytic virotherapy, the susceptibility of different grades of primary low-passage mammary carcinoma cells of canine origin to an oncolytic vaccinia virus (VV). We highlight a fault in replication of VV in cells that originated from high-grade triple-negative breast carcinomas (TNBC). Single-cell RNA-seq performed on TNBC cell samples infected with VV suggested that the reduced activity of the virus was associated with a higher mesenchymal status of the cells. We also demonstrate that high expression of one gene, DDIT4, is detrimental to VV production. Considering that DDIT4 is associated with a poor prognosis in various cancers including TNBC, our data highlight DDIT4 as a candidate resistance marker for oncolytic poxvirus therapy. Beyond the field of cancer gene therapy, we demonstrate here that single-cell transcriptomics increases the arsenal of tools available to identify cellular factors influencing viral replication.
Collapse
Affiliation(s)
| | - Kevin Lebrigand
- Université Côte d'Azur, CNRS, IPMC, FHU-OncoAge, Valbonne, France
| | - Alberto Baeri
- Université Côte d'Azur, CNRS, IPMC, FHU-OncoAge, Valbonne, France
| | - Nicolas Nottet
- Université Côte d'Azur, CNRS, IPMC, FHU-OncoAge, Valbonne, France
| | | | - Audrey Lamit
- Université Côte d'Azur, CEA, Laboratoire TIRO, Nice France
| | - Olivier Ferraris
- Institut de recherche biomédicale des armées, Université de Lyon, Lyon, France
| | | | - Virginie Magnone
- Université Côte d'Azur, CNRS, IPMC, FHU-OncoAge, Valbonne, France
| | | | | | | | | | | | - Roger Rezzonico
- Université Côte d'Azur, INSERM, CNRS, IPMC, Valbonne, France
| | - Pascal Barbry
- Université Côte d'Azur, CNRS, IPMC, FHU-OncoAge, Valbonne, France
| | | | - Bernard Mari
- Université Côte d'Azur, CNRS, IPMC, FHU-OncoAge, Valbonne, France
| | - Georges Vassaux
- Université Côte d'Azur, INSERM, CNRS, IPMC, Valbonne, France
- * E-mail:
| |
Collapse
|
88
|
Brzostek J, Fatin A, Chua WH, Tan HY, Dick T, Gascoigne NRJ. Single Cell Analysis of Drug Susceptibility of Mycobacterium Abscessus During Macrophage Infection. Antibiotics (Basel) 2020; 9:antibiotics9100711. [PMID: 33080864 PMCID: PMC7650608 DOI: 10.3390/antibiotics9100711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 10/15/2020] [Accepted: 10/16/2020] [Indexed: 11/16/2022] Open
Abstract
Mycobacterium abscessus is an emerging health risk to immunocompromised individuals and to people with pre-existing pulmonary conditions. As M. abscessus possesses multiple mechanisms of drug resistance, treatments of M. abscessus are of poor efficacy. Therefore, there is an urgent need for new therapeutic strategies targeting M. abscessus. We describe an experimental system for screening of compounds for their antimicrobial activity against intracellular M. abscessus using flow cytometry and imaging flow cytometry. The assay allows simultaneous analysis of multiple parameters, such as proportion of infected host cells, bacterial load per host cell from the infected population, and host cell viability. We verified the suitability of this method using two antibiotics with known activity against M. abscessus: clarithromycin and amikacin. Our analysis revealed a high degree of infection heterogeneity, which correlated with host cell size. A higher proportion of the larger host cells is infected with M. abscessus as compared to smaller host cells, and infected larger cells have higher intracellular bacterial burden than infected smaller cells. Clarithromycin treatment has a more pronounced effect on smaller host cells than on bigger host cells, suggesting that heterogeneity within the host cell population has an effect on antibiotic susceptibility of intracellular bacteria.
Collapse
Affiliation(s)
- Joanna Brzostek
- Department of Microbiology and Immunology, Yong Loo Lin School of Medcine, National University of Singapore, 5 Science Drive 2, Singapore 117545, Singapore; (A.F.); (W.H.C.); (H.Y.T.); (T.D.)
- Correspondence: (J.B.); (N.R.J.G.)
| | - Amierah Fatin
- Department of Microbiology and Immunology, Yong Loo Lin School of Medcine, National University of Singapore, 5 Science Drive 2, Singapore 117545, Singapore; (A.F.); (W.H.C.); (H.Y.T.); (T.D.)
| | - Wen Hui Chua
- Department of Microbiology and Immunology, Yong Loo Lin School of Medcine, National University of Singapore, 5 Science Drive 2, Singapore 117545, Singapore; (A.F.); (W.H.C.); (H.Y.T.); (T.D.)
| | - Hui Yi Tan
- Department of Microbiology and Immunology, Yong Loo Lin School of Medcine, National University of Singapore, 5 Science Drive 2, Singapore 117545, Singapore; (A.F.); (W.H.C.); (H.Y.T.); (T.D.)
| | - Thomas Dick
- Department of Microbiology and Immunology, Yong Loo Lin School of Medcine, National University of Singapore, 5 Science Drive 2, Singapore 117545, Singapore; (A.F.); (W.H.C.); (H.Y.T.); (T.D.)
- Center for Discovery and Innovation, Hackensack Meridian Health, Nutley, NJ 07110, USA
- Department of Medical Sciences, Hackensack Meridian School of Medicine at Seton Hall University, Nutley, NJ 07110, USA
| | - Nicholas R. J. Gascoigne
- Department of Microbiology and Immunology, Yong Loo Lin School of Medcine, National University of Singapore, 5 Science Drive 2, Singapore 117545, Singapore; (A.F.); (W.H.C.); (H.Y.T.); (T.D.)
- Immunology Programme, Life Sciences Institute, National University of Singapore, Singapore 117545, Singapore
- Correspondence: (J.B.); (N.R.J.G.)
| |
Collapse
|
89
|
Martin BE, Harris JD, Sun J, Koelle K, Brooke CB. Cellular co-infection can modulate the efficiency of influenza A virus production and shape the interferon response. PLoS Pathog 2020; 16:e1008974. [PMID: 33064776 PMCID: PMC7592918 DOI: 10.1371/journal.ppat.1008974] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 10/28/2020] [Accepted: 09/10/2020] [Indexed: 12/19/2022] Open
Abstract
During viral infection, the numbers of virions infecting individual cells can vary significantly over time and space. The functional consequences of this variation in cellular multiplicity of infection (MOI) remain poorly understood. Here, we rigorously quantify the phenotypic consequences of cellular MOI during influenza A virus (IAV) infection over a single round of replication in terms of cell death rates, viral output kinetics, interferon and antiviral effector gene transcription, and superinfection potential. By statistically fitting mathematical models to our data, we precisely define specific functional forms that quantitatively describe the modulation of these phenotypes by MOI at the single cell level. To determine the generality of these functional forms, we compare two distinct cell lines (MDCK cells and A549 cells), both infected with the H1N1 strain A/Puerto Rico/8/1934 (PR8). We find that a model assuming that infected cell death rates are independent of cellular MOI best fits the experimental data in both cell lines. We further observe that a model in which the rate and efficiency of virus production increase with cellular co-infection best fits our observations in MDCK cells, but not in A549 cells. In A549 cells, we also find that induction of type III interferon, but not type I interferon, is highly dependent on cellular MOI, especially at early timepoints. This finding identifies a role for cellular co-infection in shaping the innate immune response to IAV infection. Finally, we show that higher cellular MOI is associated with more potent superinfection exclusion, thus limiting the total number of virions capable of infecting a cell. Overall, this study suggests that the extent of cellular co-infection by influenza viruses may be a critical determinant of both viral production kinetics and cellular infection outcomes in a host cell type-dependent manner. During influenza A virus (IAV) infection, the number of virions to enter individual cells can be highly variable. Cellular co-infection appears to be common and plays an essential role in facilitating reassortment for IAV, yet little is known about how cellular co-infection influences infection outcomes at the cellular level. Here, we combine quantitative in vitro infection experiments with statistical model fitting to precisely define the phenotypic consequences of cellular co-infection in two cell lines. We reveal that cellular co-infection can increase and accelerate the efficiency of IAV production in a cell line-dependent fashion, identifying it as a potential determinant of viral replication kinetics. We also show that induction of type III, but not type I, interferon is highly dependent upon the number of virions that infect a given cell, implicating cellular co-infection as an important determinant of the host innate immune response to infection. Altogether, our findings show that cellular co-infection plays a crucial role in determining infection outcome. The integration of experimental and statistical modeling approaches detailed here represents a significant advance in the quantitative study of influenza virus infection and should aid ongoing efforts focused on the construction of mathematical models of IAV infection.
Collapse
Affiliation(s)
- Brigitte E. Martin
- Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America
| | - Jeremy D. Harris
- Department of Biology, Emory University, Atlanta, GA, United States of America
| | - Jiayi Sun
- Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America
| | - Katia Koelle
- Department of Biology, Emory University, Atlanta, GA, United States of America
- * E-mail: (KK); (CB)
| | - Christopher B. Brooke
- Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America
- * E-mail: (KK); (CB)
| |
Collapse
|
90
|
Jones JE, Le Sage V, Lakdawala SS. Viral and host heterogeneity and their effects on the viral life cycle. Nat Rev Microbiol 2020; 19:272-282. [PMID: 33024309 PMCID: PMC7537587 DOI: 10.1038/s41579-020-00449-9] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/03/2020] [Indexed: 02/08/2023]
Abstract
Traditionally, the viral replication cycle is envisioned as a single, well-defined loop with four major steps: attachment and entry into a target cell, replication of the viral genome, maturation of viral proteins and genome packaging into infectious progeny, and egress and dissemination to the next target cell. However, for many viruses, a growing body of evidence points towards extreme heterogeneity in each of these steps. In this Review, we reassess the major steps of the viral replication cycle by highlighting recent advances that show considerable variability during viral infection. First, we discuss heterogeneity in entry receptors, followed by a discussion on error-prone and low-fidelity polymerases and their impact on viral diversity. Next, we cover the implications of heterogeneity in genome packaging and assembly on virion morphology. Last, we explore alternative egress mechanisms, including tunnelling nanotubes and host microvesicles. In summary, we discuss the implications of viral phenotypic, morphological and genetic heterogeneity on pathogenesis and medicine. This Review highlights common themes and unique features that give nuance to the viral replication cycle.
Collapse
Affiliation(s)
- Jennifer E Jones
- Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Valerie Le Sage
- Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Seema S Lakdawala
- Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. .,Center for Vaccine Research, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
| |
Collapse
|
91
|
Stifter SA, Bhattacharyya N, Sawyer AJ, Cootes TA, Stambas J, Doyle SE, Feigenbaum L, Paul WE, Britton WJ, Sher A, Feng CG. Visualizing the Selectivity and Dynamics of Interferon Signaling In Vivo. Cell Rep 2020; 29:3539-3550.e4. [PMID: 31825834 DOI: 10.1016/j.celrep.2019.11.021] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Revised: 09/25/2019] [Accepted: 11/06/2019] [Indexed: 01/09/2023] Open
Abstract
Interferons (IFN) are pleiotropic cytokines essential for defense against infection, but the identity and tissue distribution of IFN-responsive cells in vivo are poorly defined. In this study, we generate a mouse strain capable of reporting IFN-signaling activated by all three types of IFNs and investigate the spatio-temporal dynamics and identity of IFN-responding cells following IFN injection and influenza virus infection. Despite ubiquitous expression of IFN receptors, cellular responses to IFNs are highly heterogenous in vivo and are determined by anatomical site, cell type, cellular preference to individual IFNs, and activation status. Unexpectedly, type I and II pneumocytes, the primary target of influenza infection, exhibit striking differences in the strength and temporal dynamics of IFN signaling associated with differential susceptibility to the viral infection. Our findings suggest that time- and cell-type-dependent integration of distinct IFN signals govern the specificity and magnitude of IFN responses in vivo.
Collapse
Affiliation(s)
- Sebastian A Stifter
- Immunology and Host Defense Group, Discipline of Infectious Diseases and Immunology, Faculty of Medicine and Health, The University of Sydney, NSW 2006, Australia; Centenary Institute, The University of Sydney, NSW 2050, Australia
| | - Nayan Bhattacharyya
- Immunology and Host Defense Group, Discipline of Infectious Diseases and Immunology, Faculty of Medicine and Health, The University of Sydney, NSW 2006, Australia; Centenary Institute, The University of Sydney, NSW 2050, Australia
| | - Andrew J Sawyer
- Immunology and Host Defense Group, Discipline of Infectious Diseases and Immunology, Faculty of Medicine and Health, The University of Sydney, NSW 2006, Australia; Centenary Institute, The University of Sydney, NSW 2050, Australia
| | - Taylor A Cootes
- Immunology and Host Defense Group, Discipline of Infectious Diseases and Immunology, Faculty of Medicine and Health, The University of Sydney, NSW 2006, Australia; Centenary Institute, The University of Sydney, NSW 2050, Australia
| | - John Stambas
- School of Medicine, Deakin University, Geelong, VIC 3216, Australia
| | | | - Lionel Feigenbaum
- Laboratory Animal Sciences Program, National Cancer Institute, Frederick, MD 21702, USA
| | - William E Paul
- Cytokine Biology Unit, Laboratory of Immunology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD 20892, USA
| | - Warwick J Britton
- Centenary Institute, The University of Sydney, NSW 2050, Australia; Central Clinical School, Faculty of Medicine and Health, The University of Sydney, NSW 2006, Australia
| | - Alan Sher
- Immunobiology Section, Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD 20892-3202, USA
| | - Carl G Feng
- Immunology and Host Defense Group, Discipline of Infectious Diseases and Immunology, Faculty of Medicine and Health, The University of Sydney, NSW 2006, Australia; Centenary Institute, The University of Sydney, NSW 2050, Australia.
| |
Collapse
|
92
|
Magdy Beshbishy A, Hetta HF, Hussein DE, Saati AA, C. Uba C, Rivero-Perez N, Zaragoza-Bastida A, Shah MA, Behl T, Batiha GES. Factors Associated with Increased Morbidity and Mortality of Obese and Overweight COVID-19 Patients. BIOLOGY 2020; 9:E280. [PMID: 32916925 PMCID: PMC7564335 DOI: 10.3390/biology9090280] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/11/2020] [Revised: 08/18/2020] [Accepted: 08/18/2020] [Indexed: 01/08/2023]
Abstract
Overweight and obesity are defined as an unnecessary accumulation of fat, which poses a risk to health. It is a well-identified risk factor for increased mortality due to heightened rates of heart disease, certain cancers, musculoskeletal disorders, and bacterial, protozoan and viral infections. The increasing prevalence of obesity is of concern, as conventional pathogenesis may indeed be increased in obese hosts rather than healthy hosts, especially during this COVID-19 pandemic. COVID-19 is a new disease and we do not have the luxury of cumulative data. Obesity activates the development of gene induced hypoxia and adipogenesis in obese animals. Several factors can influence obesity, for example, stress can increase the body weight by allowing people to consume high amounts of food with a higher propensity to consume palatable food. Obesity is a risk factor for the development of immune-mediated and some inflammatory-mediated diseases, including atherosclerosis and psoriasis, leading to a dampened immune response to infectious agents, leading to weaker post-infection impacts. Moreover, the obese host creates a special microenvironment for disease pathogenesis, marked by persistent low-grade inflammation. Therefore, it is advisable to sustain healthy eating habits by increasing the consumption of various plant-based and low-fat foods to protect our bodies and decrease the risk of infectious diseases, especially COVID-19.
Collapse
Affiliation(s)
- Amany Magdy Beshbishy
- National Research Center for Protozoan Diseases, Obihiro University of Agriculture and Veterinary Medicine, Nishi 2-13, Inada-cho, Obihiro, Hokkaido 080-8555, Japan
| | - Helal F. Hetta
- Department of Medical Microbiology and Immunology, Faculty of Medicine, Assiut University, Assiut 71515, Egypt
- Department of Internal Medicine, University of Cincinnati College of Medicine, Cincinnati, OH 45267-0595, USA
| | - Diaa E. Hussein
- Researcher, Department of Food Hygiene, Agricultural Research Center (ARC), Animal Health Research Institute, Port of Alexandria 26514, Egypt;
| | - Abdullah A. Saati
- Department of Community Medicine & Pilgrims Healthcare, Faculty of Medicine, Umm Al-Qura University Makkah, Mecca 24382, Saudi Arabia;
| | - Christian C. Uba
- Department of Microbiology, Paul University, Awka, Anambra State PMB 6074, Nigeria;
| | - Nallely Rivero-Perez
- Área Académica de Medicina Veterinaria y Zootecnia, Instituto de Ciencias Agropecuaria, Universidad Autónoma del Estado de Hidalgo, Av. Universidad Km 1, Ex-Hda. de Aquetzalpa, Tulancingo 43600, Hgo, Mexico; (N.R.-P.); (A.Z.-B.)
| | - Adrian Zaragoza-Bastida
- Área Académica de Medicina Veterinaria y Zootecnia, Instituto de Ciencias Agropecuaria, Universidad Autónoma del Estado de Hidalgo, Av. Universidad Km 1, Ex-Hda. de Aquetzalpa, Tulancingo 43600, Hgo, Mexico; (N.R.-P.); (A.Z.-B.)
| | - Muhammad Ajmal Shah
- Department of Pharmacognosy, Faculty of Pharmaceutical Sciences, Government College University, Faisalabad 38000, Pakistan;
| | - Tapan Behl
- Chitkara College of Pharmacy, Chitkara University, Punjab 140401, India;
| | - Gaber El-Saber Batiha
- Department of Pharmacology and Therapeutics, Faculty of Veterinary Medicine, Damanhour University, Damanhour 22511, Egypt
| |
Collapse
|
93
|
Selective flexible packaging pathways of the segmented genome of influenza A virus. Nat Commun 2020; 11:4355. [PMID: 32859915 PMCID: PMC7455735 DOI: 10.1038/s41467-020-18108-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Accepted: 07/30/2020] [Indexed: 12/20/2022] Open
Abstract
The genome of influenza A viruses (IAV) is encoded in eight distinct viral ribonucleoproteins (vRNPs) that consist of negative sense viral RNA (vRNA) covered by the IAV nucleoprotein. Previous studies strongly support a selective packaging model by which vRNP segments are bundling to an octameric complex, which is integrated into budding virions. However, the pathway(s) generating a complete genome bundle is not known. We here use a multiplexed FISH assay to monitor all eight vRNAs in parallel in human lung epithelial cells. Analysis of 3.9 × 105 spots of colocalizing vRNAs provides quantitative insights into segment composition of vRNP complexes and, thus, implications for bundling routes. The complexes rarely contain multiple copies of a specific segment. The data suggest a selective packaging mechanism with limited flexibility by which vRNPs assemble into a complete IAV genome. We surmise that this flexibility forms an essential basis for the development of reassortant viruses with pandemic potential.
Collapse
|
94
|
Ashary N, Bhide A, Chakraborty P, Colaco S, Mishra A, Chhabria K, Jolly MK, Modi D. Single-Cell RNA-seq Identifies Cell Subsets in Human Placenta That Highly Expresses Factors Driving Pathogenesis of SARS-CoV-2. Front Cell Dev Biol 2020; 8:783. [PMID: 32974340 PMCID: PMC7466449 DOI: 10.3389/fcell.2020.00783] [Citation(s) in RCA: 75] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Accepted: 07/27/2020] [Indexed: 12/21/2022] Open
Abstract
Infection by the Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2) results in the novel coronavirus disease COVID-19, which has posed a serious threat globally. Infection of SARS-CoV-2 during pregnancy is associated with complications such as preterm labor and premature rupture of membranes, and a proportion of neonates born to infected mothers are also positive for the virus. During pregnancy, the placental barrier protects the fetus from pathogens and ensures healthy development. To predict if the placenta is permissive to SARS-CoV-2, we utilized publicly available single-cell RNA-seq data to identify if the placental cells express the necessary factors required for infection. SARS-CoV-2 binding receptor ACE2 and the S protein priming protease TMPRSS2 are co-expressed by a subset of syncytiotrophoblasts (STB) in the first trimester and extravillous trophoblasts (EVT) in the second trimester human placenta. In addition, the non-canonical receptor BSG/CD147 and other proteases (CTSL, CTSB, and FURIN) are detected in most of the placental cells. Other coronavirus family receptors (ANPEP and DPP4) were also expressed in the first and second trimester placental cells. Additionally, the term placenta of multiple species including humans expressed ACE2, DPP4, and ANPEP along with the viral S protein proteases. The ACE2- and TMPRSS2-positive (ACE2 + TMPRSS2 +) placental subsets expressed mRNA for proteins involved in viral budding and replication. These cells also had the mRNA for proteins that physically interact with SARS-CoV-2 in host cells. Further, we discovered unique signatures of genes in ACE2 + TMPRSS2 + STBs and EVTs. The ACE2 + TMPRSS2 + STBs are highly differentiated cells and express genes involving mitochondrial metabolism and glucose transport. The second trimester ACE2 + TMPRSS2 + EVTs are enriched for markers of endovascular trophoblasts. Both these subtypes abundantly expressed genes in the Toll-like receptor pathway. The second trimester EVTs are also enriched for components of the JAK-STAT pathway that drives inflammation. We carried out a systematic review and identified that in 12% of pregnant women with COVID-19, the placenta was infected with SARS-CoV-2, and the virus was detected in STBs. To conclude, herein we have uncovered the cellular targets for SARS-CoV-2 entry and have shown that these cells can potentially drive viremia in the developing human placenta. Our results provide a basic framework toward understanding the paraphernalia involved in SARS-CoV-2 infections in pregnancy.
Collapse
Affiliation(s)
- Nancy Ashary
- Molecular and Cellular Biology Laboratory, ICMR-National Institute for Research in Reproductive Health, Indian Council of Medical Research (ICMR), Mumbai, India
| | - Anshul Bhide
- Molecular and Cellular Biology Laboratory, ICMR-National Institute for Research in Reproductive Health, Indian Council of Medical Research (ICMR), Mumbai, India
| | - Priyanka Chakraborty
- Center for BioSystems Science and Engineering, Indian Institute of Science, Bengaluru, India
| | - Stacy Colaco
- Molecular and Cellular Biology Laboratory, ICMR-National Institute for Research in Reproductive Health, Indian Council of Medical Research (ICMR), Mumbai, India
| | - Anuradha Mishra
- Molecular and Cellular Biology Laboratory, ICMR-National Institute for Research in Reproductive Health, Indian Council of Medical Research (ICMR), Mumbai, India
| | - Karisma Chhabria
- Molecular and Cellular Biology Laboratory, ICMR-National Institute for Research in Reproductive Health, Indian Council of Medical Research (ICMR), Mumbai, India
| | - Mohit Kumar Jolly
- Center for BioSystems Science and Engineering, Indian Institute of Science, Bengaluru, India
| | - Deepak Modi
- Molecular and Cellular Biology Laboratory, ICMR-National Institute for Research in Reproductive Health, Indian Council of Medical Research (ICMR), Mumbai, India
| |
Collapse
|
95
|
Noé A, Cargill TN, Nielsen CM, Russell AJC, Barnes E. The Application of Single-Cell RNA Sequencing in Vaccinology. J Immunol Res 2020; 2020:8624963. [PMID: 32802896 PMCID: PMC7411487 DOI: 10.1155/2020/8624963] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 07/09/2020] [Indexed: 02/06/2023] Open
Abstract
Single-cell RNA sequencing allows highly detailed profiling of cellular immune responses from limited-volume samples, advancing prospects of a new era of systems immunology. The power of single-cell RNA sequencing offers various opportunities to decipher the immune response to infectious diseases and vaccines. Here, we describe the potential uses of single-cell RNA sequencing methods in prophylactic vaccine development, concentrating on infectious diseases including COVID-19. Using examples from several diseases, we review how single-cell RNA sequencing has been used to evaluate the immunological response to different vaccine platforms and regimens. By highlighting published and unpublished single-cell RNA sequencing studies relevant to vaccinology, we discuss some general considerations how the field could be enriched with the widespread adoption of this technology.
Collapse
MESH Headings
- Animals
- Betacoronavirus/immunology
- COVID-19
- Cell Line
- Clinical Trials as Topic
- Coronavirus Infections/epidemiology
- Coronavirus Infections/immunology
- Coronavirus Infections/prevention & control
- Coronavirus Infections/virology
- Disease Models, Animal
- Drug Evaluation, Preclinical
- Host-Pathogen Interactions/genetics
- Host-Pathogen Interactions/immunology
- Humans
- Immunity, Cellular/genetics
- Immunity, Innate/genetics
- Immunogenicity, Vaccine
- Pandemics/prevention & control
- Pneumonia, Viral/epidemiology
- Pneumonia, Viral/immunology
- Pneumonia, Viral/prevention & control
- Pneumonia, Viral/virology
- RNA, Viral/isolation & purification
- RNA-Seq/methods
- SARS-CoV-2
- Single-Cell Analysis
- Vaccinology/methods
- Viral Vaccines/administration & dosage
- Viral Vaccines/immunology
Collapse
Affiliation(s)
- Andrés Noé
- The Jenner Institute, University of Oxford, Old Road Campus Research Building, Oxford OX3 7DQ, UK
| | - Tamsin N. Cargill
- Peter Medawar Building for Pathogen Research and Oxford NIHR Biomedical Research Centre, Nuffield Department of Medicine, University of Oxford, South Parks Road, Oxford OX1 3SY, UK
- Translational Gastroenterology Unit, John Radcliffe Hospital, Oxford OX3 9DU, UK
| | - Carolyn M. Nielsen
- The Jenner Institute, University of Oxford, Old Road Campus Research Building, Oxford OX3 7DQ, UK
| | | | - Eleanor Barnes
- Peter Medawar Building for Pathogen Research and Oxford NIHR Biomedical Research Centre, Nuffield Department of Medicine, University of Oxford, South Parks Road, Oxford OX1 3SY, UK
- Translational Gastroenterology Unit, John Radcliffe Hospital, Oxford OX3 9DU, UK
| |
Collapse
|
96
|
Fay EJ, Aron SL, Macchietto MG, Markman MW, Esser-Nobis K, Gale M, Shen S, Langlois RA. Cell type- and replication stage-specific influenza virus responses in vivo. PLoS Pathog 2020; 16:e1008760. [PMID: 32790753 PMCID: PMC7447048 DOI: 10.1371/journal.ppat.1008760] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 08/25/2020] [Accepted: 06/29/2020] [Indexed: 12/22/2022] Open
Abstract
Influenza A viruses (IAVs) remain a significant global health burden. Activation of the innate immune response is important for controlling early virus replication and spread. It is unclear how early IAV replication events contribute to immune detection. Additionally, while many cell types in the lung can be infected, it is not known if all cell types contribute equally to establish the antiviral state in the host. Here, we use single-cycle influenza A viruses (scIAVs) to characterize the early immune response to IAV in vitro and in vivo. We found that the magnitude of virus replication contributes to antiviral gene expression within infected cells prior to the induction of a global response. We also developed a scIAV that is only capable of undergoing primary transcription, the earliest stage of virus replication. Using this tool, we uncovered replication stage-specific responses in vitro and in vivo. Using several innate immune receptor knockout cell lines, we identify RIG-I as the predominant antiviral detector of primary virus transcription and amplified replication in vitro. Through a Cre-inducible reporter mouse, we used scIAVs expressing Cre-recombinase to characterize cell type-specific responses in vivo. Individual cell types upregulate unique sets of antiviral genes in response to both primary virus transcription and amplified replication. We also identified antiviral genes that are only upregulated in response to direct infection. Altogether, these data offer insight into the early mechanisms of antiviral gene activation during influenza A infection.
Collapse
Affiliation(s)
- Elizabeth J. Fay
- Biochemistry, Molecular Biology and Biophysics Graduate Program, University of Minnesota, Minneapolis MN, United States of America
- Center for Immunology, University of Minnesota, Minneapolis MN, United States of America
| | - Stephanie L. Aron
- Department of Microbiology and Immunology, University of Minnesota, Minneapolis MN, United States of America
| | - Marissa G. Macchietto
- Institute for Health Informatics, University of Minnesota, Minneapolis MN, United States of America
| | - Matthew W. Markman
- Department of Microbiology and Immunology, University of Minnesota, Minneapolis MN, United States of America
| | - Katharina Esser-Nobis
- Department of Immunology and Center for Innate Immunity and Immune Disease, University of Washington, Seattle WA, United States of America
| | - Michael Gale
- Department of Immunology and Center for Innate Immunity and Immune Disease, University of Washington, Seattle WA, United States of America
| | - Steven Shen
- Institute for Health Informatics, University of Minnesota, Minneapolis MN, United States of America
| | - Ryan A. Langlois
- Biochemistry, Molecular Biology and Biophysics Graduate Program, University of Minnesota, Minneapolis MN, United States of America
- Center for Immunology, University of Minnesota, Minneapolis MN, United States of America
- Department of Microbiology and Immunology, University of Minnesota, Minneapolis MN, United States of America
| |
Collapse
|
97
|
Collective interactions augment influenza A virus replication in a host-dependent manner. Nat Microbiol 2020; 5:1158-1169. [PMID: 32632248 PMCID: PMC7484227 DOI: 10.1038/s41564-020-0749-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Accepted: 06/01/2020] [Indexed: 11/08/2022]
Abstract
Infection with a single influenza A virus (IAV) is only rarely sufficient to initiate productive infection. Instead, multiple viral genomes are often required in a given cell. Here, we show that the reliance of IAV on multiple infection can form an important species barrier. Namely, we find that avian H9N2 viruses representative of those circulating widely at the poultry-human interface exhibit acute dependence on collective interactions in mammalian systems. This need for multiple infection is greatly reduced in the natural host. Quantification of incomplete viral genomes showed that their complementation accounts for the moderate reliance on multiple infection seen in avian cells but not the added reliance seen in mammalian cells. An additional form of virus-virus interaction is needed in mammals. We find that the PA gene segment is a major driver of this phenotype and that both viral replication and transcription are affected. These data indicate that multiple distinct mechanisms underlie the reliance of IAV on multiple infection and underscore the importance of virus-virus interactions in IAV infection, evolution and emergence.
Collapse
|
98
|
Abstract
Probabilistic bet hedging is a generalized diversification strategy to maximize fitness in unpredictable environments and has been proposed as an evolutionary basis for herpesvirus latency. However, the molecular mechanisms enabling probabilistic bet hedging have remained elusive. Here, we find that the human herpesvirus cytomegalovirus—a major cause of birth defects and transplant failures—utilizes stochastic variability in the abundance of a protein packaged into individual viral particles to enable probabilistic bet hedging between alternate viral states. Probabilistic bet hedging, a strategy to maximize fitness in unpredictable environments by matching phenotypic variability to environmental variability, is theorized to account for the evolution of various fate-specification decisions, including viral latency. However, the molecular mechanisms underlying bet hedging remain unclear. Here, we report that large variability in protein abundance within individual herpesvirus virion particles enables probabilistic bet hedging between viral replication and latency. Superresolution imaging of individual virions of the human herpesvirus cytomegalovirus (CMV) showed that virion-to-virion levels of pp71 tegument protein—the major viral transactivator protein—exhibit extreme variability. This super-Poissonian tegument variability promoted alternate replicative strategies: high virion pp71 levels enhance viral replicative fitness but, strikingly, impede silencing, whereas low virion pp71 levels reduce fitness but promote silencing. Overall, the results indicate that stochastic tegument packaging provides a mechanism enabling probabilistic bet hedging between viral replication and latency.
Collapse
|
99
|
Sun J, Vera JC, Drnevich J, Lin YT, Ke R, Brooke CB. Single cell heterogeneity in influenza A virus gene expression shapes the innate antiviral response to infection. PLoS Pathog 2020; 16:e1008671. [PMID: 32614923 PMCID: PMC7363107 DOI: 10.1371/journal.ppat.1008671] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 07/15/2020] [Accepted: 06/01/2020] [Indexed: 12/25/2022] Open
Abstract
Viral infection outcomes are governed by the complex and dynamic interplay between the infecting virus population and the host response. It is increasingly clear that both viral and host cell populations are highly heterogeneous, but little is known about how this heterogeneity influences infection dynamics or viral pathogenicity. To dissect the interactions between influenza A virus (IAV) and host cell heterogeneity, we examined the combined host and viral transcriptomes of thousands of individual cells, each infected with a single IAV virion. We observed complex patterns of viral gene expression and the existence of multiple distinct host transcriptional responses to infection at the single cell level. We show that human H1N1 and H3N2 strains differ significantly in patterns of both viral and host anti-viral gene transcriptional heterogeneity at the single cell level. Our analyses also reveal that semi-infectious particles that fail to express the viral NS can play a dominant role in triggering the innate anti-viral response to infection. Altogether, these data reveal how patterns of viral population heterogeneity can serve as a major determinant of antiviral gene activation.
Collapse
Affiliation(s)
- Jiayi Sun
- Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America
| | - J. Cristobal Vera
- Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America
| | - Jenny Drnevich
- High-Performance Biological Computing at the Roy J. Carver Biotechnology Center, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America
| | - Yen Ting Lin
- Information Sciences Group, Computer, Computational and Statistical Sciences DIvision (CCS-3), Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America
| | - Ruian Ke
- T-6, Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America
| | - Christopher B. Brooke
- Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America
| |
Collapse
|
100
|
The Role of Single-Cell Technology in the Study and Control of Infectious Diseases. Cells 2020; 9:cells9061440. [PMID: 32531928 PMCID: PMC7348906 DOI: 10.3390/cells9061440] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 06/03/2020] [Accepted: 06/05/2020] [Indexed: 02/07/2023] Open
Abstract
The advent of single-cell research in the recent decade has allowed biological studies at an unprecedented resolution and scale. In particular, single-cell analysis techniques such as Next-Generation Sequencing (NGS) and Fluorescence-Activated Cell Sorting (FACS) have helped show substantial links between cellular heterogeneity and infectious disease progression. The extensive characterization of genomic and phenotypic biomarkers, in addition to host-pathogen interactions at the single-cell level, has resulted in the discovery of previously unknown infection mechanisms as well as potential treatment options. In this article, we review the various single-cell technologies and their applications in the ongoing fight against infectious diseases, as well as discuss the potential opportunities for future development.
Collapse
|