Single-Cell Mass Cytometry Analysis of Human Tonsil T Cell Remodeling by Varicella Zoster Virus
Year: 2014
Type: article
Abstract: Although pathogens must infect differentiated host cells that exhibit substantial diversity, documenting the consequences of infection against this heterogeneity is challenging. Single-cell mass cytometry permits deep profiling based on combinatorial expression of surface and intracellular proteins. We used this method to investigate varicella-zoster virus (VZV) infection of tonsil T cells, which mediate viral transport to skin. Our results indicate that VZV induces a continuum of changes regardless of basal phenotypic and functional T cell characteristics. Contrary to the premise that VZV selectively infects T cells with skin trafficking profiles, VZV infection altered T cell surface proteins to enhance or induce these properties. Zap70 and Akt signaling pathways that trigger such surface changes were activated in VZV-infected naive and memory cells by a T cell receptor (TCR)-independent process. Single-cell mass cytometry is likely to be broadly relevant for demonstrating how intracellular pathogens modulate differentiated cells to support pathogenesis in the natural host.
Source: Cell Reports
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $5,620
Funders: National Institutes of Health, U.S. Public Health Service, National Heart, Lung, and Blood Institute, National Eye Institute, National Cancer Institute, National Institute of General Medical Sciences, National Institute of Allergy and Infectious Diseases, National Institute of Biomedical Imaging and Bioengineering
Awards: G157795513, A single-cell platform to discover and study regulators of human development, G2161323616, G2231801791, Varicella-zoster Virus: Tegument Proteins in Pathogenesis, Modeling the Role of Differentiation in Cancer Progression, G2704802626, G291137109, Varicella-Zoster Virus: T Cell/Skin Tropisms & Immunity, New Statistical Methods for Medical Signals and Images, G4967914719, The Center for Systemic Control of Cyto-Networks, Multi-scale Complex Systems Transdisciplinary Analysis of Response to Therapy (MC, Software & Hardware Inference Engines for Automated Determination of Primary Cell, Clinical and Laboratory Studies of Malignant Lymphomas, A single-cell platform to discover and study regulators of human development, Varicella-Zoster Virus: T Cell/Skin Tropisms & Immunity, G6478333361, G8880476031, Understanding Influenza and SARS-CoV-2 vaccine responses, in vivo and in vitro
OpenAlex ID: W2048139582