Project description:T helper cells (Th) play an important role guarding, regulating and modulating immune responses. The different Th lineages fulfill different tasks in response to infections. The two best defined subtypes are Th1 (involved in cellular immunity) and Th2 (humoral immunity). The cytokine environment after activation determines the differentiation path of a Th cell. We defined a strategy to investigate the differentiation signature of T helper cells with a proteomics approach. Murine primary naïve CD4+ T-cells from spleen were differentiated and activated in vitro. After 3 days of differentiation proteins were analysed. The proteomic profile of the Th1 and Th2 cells will help understand these phenotypes better, which is important in finding therapeutic targets for disease and for the development of effective vaccines.
Project description:CD4+ T cells are critical components in the human immune system. They produce cytokines to fight against pathogens and abnormal cells and stimulate other cells, such as B cells, macrophages, and neutrophils, to generate an immune response.
T helper 2 (Th2) cells are subtype CD4+ T cells that differentiate from naive CD4+ T cells in a specific cytokine environment. The Th2 cell model consists of 5252 reactions, 3156 metabolites, and 1127 genes. CD4+ T cell models helped identify drug targets and repurposable drugs against autoimmune diseases.
Project description:CD4+ T cells are critical components in the human immune system. They produce cytokines to fight against pathogens and abnormal cells and stimulate other cells, such as B cells, macrophages, and neutrophils, to generate an immune response.
T helper 17 (Th17) cells are subtype CD4+ T cells that differentiate from naive CD4+ T cells in a specific cytokine environment. The Th17 cell model consists of 5282 reactions, 3263 metabolites, and 1250 genes. CD4+ T cell models helped identify drug targets and repurposable drugs against autoimmune diseases.
Project description:CD4+ T cells are critical components in the human immune system. They produce cytokines to fight against pathogens and abnormal cells and stimulate other cells, such as B cells, macrophages, and neutrophils, to generate an immune response.
T helper 1 (Th1) cells are subtypes of CD4+ T cells that differentiate from naive CD4+ T cells in a specific cytokine environment. The Th1 cell model consists of 3956 reactions, 2517 metabolites, and 1133 genes. CD4+ T cell models helped identify drug targets and repurposable drugs against autoimmune diseases.
Project description:Leber2016 - Expanded model of Tfh-Tfr
differentiation - Helicobacter pylori infection
The parameters used in the model were
obtained from experiments conducted by the authors, previous
publications [
1,
2,
3] and
parameter optimisation carried out in the paper using particle
swarm and genetic algorithms.
This model is described in the article:
Bistability analyses of CD4+
T follicular helper and regulatory cells during Helicobacter
pylori infection.
Leber A, Abedi V, Hontecillas R,
Viladomiu M, Hoops S, Ciupe S, Caughman J, Andrew T,
Bassaganya-Riera J.
J. Theor. Biol. 2016 Jun; 398:
74-84
Abstract:
T follicular helper (Tfh) cells are a highly plastic subset
of CD4+ T cells specialized in providing B cell help and
promoting inflammatory and effector responses during infectious
and immune-mediate diseases. Helicobacter pylori is the
dominant member of the gastric microbiota and exerts both
beneficial and harmful effects on the host. Chronic
inflammation in the context of H. pylori has been linked to an
upregulation in T helper (Th)1 and Th17 CD4+ T cell phenotypes,
controlled in part by the cytokine, interleukin-21. This study
investigates the differentiation and regulation of Tfh cells,
major producers of IL-21, in the immune response to H. pylori
challenge. To better understand the conditions influencing the
promotion and inhibition of a chronically elevated Tfh
population, we used top-down and bottom-up approaches to
develop computational models of Tfh and T follicular regulatory
(Tfr) cell differentiation. Stability analysis was used to
characterize the presence of two bi-stable steady states in the
calibrated Tfh/Tfr models. Stochastic simulation was used to
illustrate the ability of the parameter set to dictate two
distinct behavioral patterns. Furthermore, sensitivity analysis
helped identify the importance of various parameters on the
establishment of Tfh and Tfr cell populations. The core network
model was expanded into a more comprehensive and predictive
model by including cytokine production and signaling pathways.
From the expanded network, the interaction between TGFB-Induced
Factor Homeobox 1 (Tgif1) and the retinoid X receptor (RXR) was
displayed to exert control over the determination of the Tfh
response. Model simulations predict that Tgif1 and RXR
respectively induce and curtail Tfh responses. This
computational hypothesis was validated experimentally by
assaying Tgif1, RXR and Tfh in stomachs of mice infected with
H. pylori.
The impulse of RXR as shown in the paper
(figure 7C) can be implemented by creating an event in the curated
SBML file.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000625.
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To the extent possible under law, all copyright and related or
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Project description:T helper (Th) cells control host defense to pathogens. IL 12R expression is required for Th1, IL-4RM-NM-1 for Th2, and IL-6RM-NM-1/gp130 for Th17 differentiation to allow responsiveness to IL-12, IL-4, and IL-6, respectively. IL-2 via STAT5 controls Th2 differentiation by regulating the Th2 cytokine gene cluster and Il4ra expression. Here we show that IL-2 regulates Th1 differentiation, inducing STAT5-dependent IL-12RM-NM-22 and T-bet expression, with impaired human Th1 differentiation when IL-2 was blocked. Th1 differentiation was also impaired in mouse Il2-/- T cells but restored by IL-12RM-NM-22 expression. Consistent with IL-2M-bM-^@M-^Ys inhibition of Th17 differentiation, IL-2 decreased Il6ra and Il6st/gp130 expression, and Il6st augmented Th17 differentiation even when IL-2 was present. Thus, IL-2 influences T-cell differentiation by modulating cytokine receptor expression to help specify/maintain differentiated states. Genome-wide mapping of STAT1,STAT4,STAT5A,STAT5B binding to their target genes in Th1 or human CD4+ cells was conducted
Project description:The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 or CoV-2) is the agent of a major global outbreak of respiratory tract disease known as COVID-19. CoV-2 infects the lungs and may cause several immune-related complications such as lymphocytopenia and cytokine storm which are associated with the severity of the disease and predict mortality. The mechanism by which CoV-2 infection may result in immune system dysfunction is not fully understood. Here we showed that CoV-2 infects human CD4+ T helper cells, but not CD8+ T cells. CoV-2 is found in the blood and bronchoalveolar lavage T helper cells of severe COVID-19 patients. We demonstrated that CoV-2 spike glycoprotein (S) (sCoV-2) directly binds to the CD4 co-receptor, which in turn mediates the entry of CoV-2 in T helper cells in a mechanism that also requires ACE2 and TMPRSS2. Once inside T helper cells, CoV-2 assembles viral factories, impairs cell function and may cause cell death. CoV-2 infected T helper cells express higher amounts of IL-10, which has been associated with viral persistence and disease severity. Thus, CD4-mediated CoV-2 infection of T helper cells may explain the poor adaptive immune response of many COVID-19 patients.