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ScnasRNA-seq resolves in vivo single-cell RNA dynamics of immune cells during Salmonella infection [small intestine]

ABSTRACT: The immune response against pathogens involves multiple cell state transitions and complex gene expression changes. Here we established an in vivo single-cell nascent RNA labeling sequencing method (scnasRNA-seq) and applied it to survey time-resolved RNA dynamics during immune response to acute enteric infection with Salmonella. We showed that detection of nascent RNA synthesis reflects more realistic information on cell activation and gene transcription than total RNA level. Interplay of nascent RNA synthesis and RNA degradation together modulate dynamics of total RNA. We found that bone marrow macrophages are first primed at very early stage upon Salmonella infection. In contrast, the innate immune response of macrophages in intestine is limited. Notably, intestinal CD8+ T cells and plasma cells are rapidly and specifically activated at early stage post infection. Intestinal late enterocytes quickly express MHC-I molecules and present Salmonella antigen to CD8+ T cells for their activation, serving as antigen presenting cells for initiation of adaptive immunity. Our findings unveil novel RNA control strategies of immune cells and dynamic time course of immune response activation upon Salmonella infection, challenging the doctrine boundary between innate immunity and adaptive immunity against bacterial infection.

ORGANISM(S): Mus musculus

PROVIDER: GSE280764 | GEO | 2024/10/31

REPOSITORIES: GEO

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Project description:Baris Hancioglu, David Swigon & Gilles Clermont. A dynamical model of human immune response to influenza A virus infection. Journal of Theoretical Biology 246, 1 (2007). We present a simplified dynamical model of immune response to uncomplicated influenza A virus (IAV) infection, which focuses on the control of the infection by the innate and adaptive immunity. Innate immunity is represented by interferon-induced resistance to infection of respiratory epithelial cells and by removal of infected cells by effector cells (cytotoxic T-cells and natural killer cells). Adaptive immunity is represented by virus-specific antibodies. Similar in spirit to the recent model of Bocharov and Romanyukha [1994. Mathematical model of antiviral immune response. III. Influenza A virus infection. J. Theor. Biol. 167, 323-360], the model is constructed as a system of 10 ordinary differential equations with 27 parameters characterizing the rates of various processes contributing to the course of disease. The parameters are derived from published experimental data or estimated so as to reproduce available data about the time course of IAV infection in a naïve host. We explore the effect of initial viral load on the severity and duration of the disease, construct a phase diagram that sheds insight into the dynamics of the disease, and perform sensitivity analysis on the model parameters to explore which ones influence the most the onset, duration and severity of infection. To account for the variability and speed of adaptation of the adaptive response to a particular virus strain, we introduce a variable that quantifies the antigenic compatibility between the virus and the antibodies currently produced by the organism. We find that for small initial viral load the disease progresses through an asymptomatic course, for intermediate value it takes a typical course with constant duration and severity of infection but variable onset, and for large initial viral load the disease becomes severe. This behavior is robust to a wide range of parameter values. The absence of antibody response leads to recurrence of disease and appearance of a chronic state with nontrivial constant viral load.

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ScnasRNA-seq resolves in vivo single-cell RNA dynamics of immune cells during Salmonella infection [small intestine]

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