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1.
Cell ; 183(5): 1383-1401.e19, 2020 11 25.
Article in English | MEDLINE | ID: mdl-33159858

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.


Subject(s)
Ebolavirus/physiology , Hemorrhagic Fever, Ebola/genetics , Hemorrhagic Fever, Ebola/virology , Host-Pathogen Interactions/genetics , Single-Cell Analysis , Animals , Antigens, CD/metabolism , Biomarkers/metabolism , Bystander Effect , Cell Differentiation , Cell Proliferation , Cytokines/metabolism , Ebolavirus/genetics , Endoplasmic Reticulum Chaperone BiP , Gene Expression Profiling , Gene Expression Regulation , Gene Expression Regulation, Viral , Hemorrhagic Fever, Ebola/immunology , Hemorrhagic Fever, Ebola/pathology , Histocompatibility Antigens Class II/metabolism , Interferons/genetics , Interferons/metabolism , Macaca mulatta , Macrophages/metabolism , Monocytes/metabolism , Myelopoiesis , RNA, Messenger/genetics , RNA, Messenger/metabolism , Time Factors , Transcriptome/genetics
2.
J Virol ; 86(5): 2632-40, 2012 Mar.
Article in English | MEDLINE | ID: mdl-22205744

ABSTRACT

Orthopoxviruses include the prototypical vaccinia virus, the emerging infectious agent monkeypox virus, and the potential biothreat variola virus (the causative agent of smallpox). There is currently no FDA-approved drug for humans infected with orthopoxviruses. We screened a diversity-oriented synthesis library for new scaffolds with activity against vaccinia virus. This screen identified a nonnucleoside analog that blocked postreplicative intermediate and late gene expression. Viral genome replication was unaffected, and inhibition could be elicited late in infection and persisted upon drug removal. Sequencing of drug-resistant viruses revealed mutations predicted to be on the periphery of the highly conserved viral RNA polymerase large subunit. Consistent with this, the compound had broad-spectrum activity against orthopoxviruses in vitro. These findings indicate that novel chemical synthesis approaches are a potential source for new infectious disease therapeutics and identify a potentially promising candidate for development to treat orthopoxvirus-infected individuals.


Subject(s)
Antiviral Agents/pharmacology , Drug Evaluation, Preclinical , Orthopoxvirus/drug effects , Pyrimidinones/pharmacology , Small Molecule Libraries/pharmacology , Animals , Antiviral Agents/chemical synthesis , Antiviral Agents/chemistry , Cell Line , Humans , Molecular Structure , Orthopoxvirus/genetics , Orthopoxvirus/physiology , Poxviridae Infections/virology , Pyrimidinones/chemical synthesis , Pyrimidinones/chemistry , Small Molecule Libraries/chemical synthesis , Virus Replication
3.
Cancer Discov ; 5(9): 988-1003, 2015 Sep.
Article in English | MEDLINE | ID: mdl-26091827

ABSTRACT

UNLABELLED: Acute myeloid leukemia (AML) is characterized by a high relapse rate that has been attributed to the quiescence of leukemia stem cells (LSC), which renders them resistant to chemotherapy. However, this hypothesis is largely supported by indirect evidence and fails to explain the large differences in relapse rates across AML subtypes. To address this, bone marrow aspirates from 41 AML patients and five healthy donors were analyzed by high-dimensional mass cytometry. All patients displayed immunophenotypic and intracellular signaling abnormalities within CD34(+)CD38(lo) populations, and several karyotype- and genotype-specific surface marker patterns were identified. The immunophenotypic stem and early progenitor cell populations from patients with clinically favorable core-binding factor AML demonstrated a 5-fold higher fraction of cells in S-phase compared with other AML samples. Conversely, LSCs in less clinically favorable FLT3-ITD AML exhibited dramatic reductions in S-phase fraction. Mass cytometry also allowed direct observation of the in vivo effects of cytotoxic chemotherapy. SIGNIFICANCE: The mechanisms underlying differences in relapse rates across AML subtypes are poorly understood. This study suggests that known chemotherapy sensitivities of common AML subsets are mediated by cell-cycle differences among LSCs and provides a basis for using in vivo functional characterization of AML cells to inform therapy selection.


Subject(s)
Cell Cycle , Leukemia, Myeloid, Acute/metabolism , Phenotype , Antineoplastic Combined Chemotherapy Protocols/therapeutic use , Biomarkers , Bone Marrow Cells/metabolism , Bone Marrow Examination , Cell Cycle/genetics , Cluster Analysis , Flow Cytometry , Genotype , Humans , Immunophenotyping , Karyotype , Leukemia, Myeloid, Acute/diagnosis , Leukemia, Myeloid, Acute/drug therapy , Leukemia, Myeloid, Acute/genetics , Neoplastic Stem Cells/metabolism , Neoplastic Stem Cells/pathology , Reproducibility of Results , Treatment Outcome
4.
Curr Opin Immunol ; 25(4): 484-94, 2013 Aug.
Article in English | MEDLINE | ID: mdl-23999316

ABSTRACT

Mass cytometry facilitates high-dimensional, quantitative analysis of the effects of bioactive molecules on cell populations at single-cell resolution. Datasets are generated with panels of up to 45 antibodies. Each antibody is conjugated to a polymer chelated with a stable metal isotope, usually in the lanthanide series of the periodic table. Antibody panels recognize surface markers to delineate cell types simultaneously with intracellular signaling molecules to measure biological functions, such as metabolism, survival, DNA damage, cell cycle and apoptosis, to provide an overall determination of the network state of an individual cell. This review will cover the basics of mass cytometry as well as outline assays developed for the platform that enhance the immunologist's analytical arsenal.


Subject(s)
Flow Cytometry/methods , Immune System , Cell Cycle , Cell Survival , Humans , Proteomics
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