Dritschel2018 - A mathematical model of cytotoxic and helper T cell interactions in a tumour microenvironment
Ontology highlight
ABSTRACT:
SUBMITTER: 
Johannes Meyer
PROVIDER: BIOMD0000000763 | BioModels | 2019-07-26
REPOSITORIES: BioModels
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Project description:We compared gene expression profiling between CD4+ helper T cells and CD8+ cytotoxic T cells CD4+ helper T cells vs CD8+ cytotoxic T cells
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Project description:We show here that the T helper-fate is not fixed and that mature antigen-stimulated CD4 T cells can switch off Thpok expression and reactivate CD8- lineage genes. This unexpected plasticity results in the post-thymic termination of the T helper- program and the functional differentiation of distinct MHC class II restricted CD4 cytotoxic T lymphocytes Small intestine CD4 intraepithelial T lymphocytes from ThPOK-GFP reposter mice were isolated and sorted (FACS Aria) based on ThPOK and CD8aa expression. Cell were isolated either from non-experimental ThPOK-GFP reporter mice (WT) or after transfering CD4 naive T cells from ThPOK-GFP reporter mice to RAG-/-recipient animals (TR) as an experimental colitis model. Experimet was done in duplicate.
2012-12-10 | E-GEOD-42277 | ArrayExpress
Project description:In response to infection, antigen-specific CD8+ T cells are primed in the T cell zone of secondary lymphoid organs and differentiate into cytotoxic effector T (TC) cells. Concurrently, CD4+ T cells differentiate into follicular helper T (TFH) cells that localize to B cell follicles and promote protective antibody responses. During unresolved infections, however, some viruses including human immunodeficiency virus (HIV) or Epstein–Barr virus (EBV) escape immune control and persist in TFH cells and B cells, respectively. Exclusion of Tc cells from B cell follicles is thought to be a major mechanism of immune evasion. New strategies are therefore needed to eradicate infected cells in follicles for a permanent cure. Using mouse infection models and human samples, we here identify a specialized group of TC cells expressing the chemokine receptor CXCR5 that can selectively enter B cell follicles and eradicate infected TFH and B cells. We demonstrate that differentiation of these cells, which we term follicular cytotoxic T (TFC) cells, requires the transcription factors Bcl6, E2A and Tcf1, whereas the transcriptional regulators Blimp1, Id3 and Id2 inhibit their development. We demonstrate that Blimp1 and E2A directly regulate Cxcr5 expression, and together with Bcl6 and Tcf1 form a transcriptional circuit that guides the TFC differentiation. The identification of a follicular subset of TC cells has far reaching implications for developing better strategies for the control of infections that target B cells and TFH cells and for the eradication of B cell derived malignancies. There is no associated input. The E2A Bio-ChIP-seq was performed with total thymocytes from Tcf3Bio/Bio Rosa26BirA/BirA mice
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Project description:The methylation profile of human cytotoxic CD4 T cells was compared to their naive counterpart, to central memory Th1 cells, and to naive and cytotoxic CD8 T cells in order to elucidate the epigenetic basis of cytotoxic differentiation in CD4 T cells. Overall design: Total genomic DNA obtained from ex-vivo isolated blood lymphocytes of 5 CMV-seropositive healthy adults. For each subject, five populations were sorted: naive CD4, naive CD8, central memory CD4 Th1 cells, cytotoxic CD28- CD4 T cells and cytotoxic CD27- CD8 T cells.
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Project description:The transcriptional profile of human cytotoxic CD4 T cells was compared to their naive counterpart, to central memory Th1 cells, and to naive and cytotoxic CD8 T cells in order to elucidate the epigenetic basis of cytotoxic differentiation in CD4 T cells. Overall design: Total RNA obtained from ex-vivo isolated blood lymphocytes of 5 CMV-seropositive healthy adults. For each subject, five populations were sorted: naive CD4, naive CD8, central memory CD4 Th1 cells, cytotoxic CD28- CD4 T cells and cytotoxic CD27- CD8 T cells.
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Project description:Drug resistance invariably limits the clinical efficacy of targeted therapy with kinase inhibitors against cancer. We found that targeted therapy with BRAF, ALK, or EGFR inhibitors induces a complex network of secreted signals in drug-stressed melanoma and lung adenocarcinoma cells. This therapy-induced secretome (TIS) stimulates the outgrowth, infiltration and metastasis of drug-resistant cancer clones in the tumour. Additionally, the TIS supports the survival of drug-sensitive cells, contributing to incomplete tumour regression. We used transcriptomic analysis of sensitive tumour cells and xenograft tumours treated with vehicle, vemurafenib, or crizotinib to identify the transcriptional drivers and to dissect the TIS in melanoma (A375, Colo800, UACC62) and lung adenocarcinoma (H3122). In addition, we utilize cell type–specific mRNA purification by translating ribosome affinity purification (TRAP) to identify pathways that are up-regulated in resistant cells (A375R) in response to the regressing tumour microenvironment. Overall design: Analysis of the response of drug sensitive melanoma and lung adenocarcinoma cells to pharmacological inhibition of their driver oncogene and gene expression analysis of drug resistant cancer cells responding to different tumor microenvironments.
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Project description:The paper describes a model of interaction of Th cells and macrophage in melanoma.
Created by COPASI 4.25 (Build 207)
This model is described in the article:
Modelling and investigation of the CD4 T cells – Macrophages paradox in melanoma immunotherapies
Raluca Eftimie, Haneen Hamam
Journal of Theoretical Biology 420 (2017) 82–104
Abstract:
It is generally accepted that tumour cells can be eliminated by M1 anti-tumour macrophages and CD8+ T cells. However, experimental results over the past 10–15 years have shown that B16 mouse melanoma cells can be eliminated by the CD4+ T cells alone (either Th1 or Th2 sub-types), in the absence of CD8+ T cells. In some studies, elimination of B16 melanoma was associated with a Th1 immune response (i.e., elimination occurred in the presence of cytokines produced by Th1 cells), while in other studies melanoma elimination was associated with a Th2 immune response (i.e., elimination occurred in the presence of cytokines produced by Th2 cells). Moreover, macrophages have been shown to be present inside the tumours, during both Th1 and Th2 immune responses. To investigate the possible biological mechanisms behind these apparently contradictory results, we develop a class of mathematical models for the dynamics of Th1 and Th2 cells, and M1 and M2 macrophages in the presence/absence of tumour cells. Using this mathematical model, we show that depending on the re- polarisation rates between M1 and M2 macrophages, we obtain tumour elimination in the presence of a type-I immune response (i.e., more Th1 and M1 cells, compared to the Th2 and M2 cells), or in the presence of a type- II immune response (i.e., more Th2 and M2 cells). Moreover, tumour elimination is also possible in the presence of a mixed type-I/type-II immune response. Tumour growth always occurs in the presence of a type-II immune response, as observed experimentally. Finally, tumour dormancy is the result of a delicate balance between the pro-tumour effects of M2 cells and the anti-tumour effects of M1 and Th1 cells.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models .
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide.
Please refer to CC0 Public Domain Dedication for more information.
2019-07-31 | BIOMD0000000770 | BioModels
Project description:The paper describes a model of interaction of Th cells and macrophage in melanoma.
Created by COPASI 4.25 (Build 207)
This model is described in the article:
Modelling and investigation of the CD4 T cells – Macrophages paradox in melanoma immunotherapies
Raluca Eftimie, Haneen Hamam
Journal of Theoretical Biology 420 (2017) 82–104
Abstract:
It is generally accepted that tumour cells can be eliminated by M1 anti-tumour macrophages and CD8+ T cells. However, experimental results over the past 10–15 years have shown that B16 mouse melanoma cells can be eliminated by the CD4+ T cells alone (either Th1 or Th2 sub-types), in the absence of CD8+ T cells. In some studies, elimination of B16 melanoma was associated with a Th1 immune response (i.e., elimination occurred in the presence of cytokines produced by Th1 cells), while in other studies melanoma elimination was associated with a Th2 immune response (i.e., elimination occurred in the presence of cytokines produced by Th2 cells). Moreover, macrophages have been shown to be present inside the tumours, during both Th1 and Th2 immune responses. To investigate the possible biological mechanisms behind these apparently contradictory results, we develop a class of mathematical models for the dynamics of Th1 and Th2 cells, and M1 and M2 macrophages in the presence/absence of tumour cells. Using this mathematical model, we show that depending on the re- polarisation rates between M1 and M2 macrophages, we obtain tumour elimination in the presence of a type-I immune response (i.e., more Th1 and M1 cells, compared to the Th2 and M2 cells), or in the presence of a type- II immune response (i.e., more Th2 and M2 cells). Moreover, tumour elimination is also possible in the presence of a mixed type-I/type-II immune response. Tumour growth always occurs in the presence of a type-II immune response, as observed experimentally. Finally, tumour dormancy is the result of a delicate balance between the pro-tumour effects of M2 cells and the anti-tumour effects of M1 and Th1 cells.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models .
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide.
Please refer to CC0 Public Domain Dedication for more information.
2019-07-31 | BIOMD0000000769 | BioModels
Project description:This is a coupled ordinary differential equation model of tumour-immune dynamics, accounting for biological and clinical factors which regulate the interaction rates of cytotoxic T lymphocytes on the surface of the tumour mass.
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