Lag3 and PD-1 pathways regulate NFAT-dependent TCR signalling programmes during early CD4+ T cell activation
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1083930 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| SRR28229605.fastq.gz | Fastqsanger.gz | |||
| SRR28229607.fastq.gz | Fastqsanger.gz | |||
| SRR28229609.fastq.gz | Fastqsanger.gz | |||
| SRR28229610.fastq.gz | Fastqsanger.gz |
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Project description:Here we perform QuantSeq 3' mRNA sequencing of RNA extracted from flow sorted splenic CD4+ T cell from Tg4 Nr4a3-Tocky Tiger mice that been reactivated in the presence of Isotype, anti-PD-L1, anti-Lag3 or combination therapy. Transcriptional analysis reveals strong T cell receptor signalling, T helper cell bias and metabolic priming in response to combination therapy.
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Project description:The nephrotoxic ifosfamide-metabolite chloroacetaldehyde (CAA) induces changes in intracellular Ca2+-concentration of human RPTEC. This effect is due to a PKA-dependent inhibition of Na+/Ca2+ exchange (Benesic, A., Schwerdt, G. at. al. (2005) Kidney Int 68, 2029-2041). Thus, possible effects of CAA-exposure on cAMP and Ca2+ regulated genes as well the Ca2+/NFAT pathway were investigated by cDNA-microarray analysis. Both microarrays (cAMP/Ca2+ and Ca2+(NFAT) were performed twice. After 24 h CAA exposure a marked downregulation of c-fos and junB was observed in all arrays performed. In the cAMP/Ca2+-arrays downregulation of FOS, ADRB1, INHBA, CDK5, IL2, PLN, SRF, GCG, SGK, JUNB, BDNF, S100A6, CCNA1, MIF, HK2, SST and EGR2 by CAA was observed in two independent experiments. From the AP-1 family expression of junD and fosB were not altered. Overexpression by CAA of CREB and DDIT3 were only observed in one of two experiments. JUND, FOSB, FOSL1, CREM and CREBBP expression was not influenced in reproducible manner, as well as all members of the NFAT-family. In the Ca2+/NFAT-Arrays, PPP3CB, VAV3, NFATC1, IL8, IL6, FASLG, IL3, IFNB1, FOS, BCL2, EGR3, CD3G, HRAS, EP300, IL4, CALM3, RELA, EGR2, NPPB, IFNG, NFATC4, KPNA5, CAMK2BNFKB2 , VEGF, IL8RA, IL2,GATA4, MEF2A, PTPRC, ICOS, NFKBIE, CDKN1A, CSNK2B, ACTB, MEF2B and JUNB mRNA´s were repeatedly reduced by CAA exposure. The only gene with upregulation in both experiments was found to be IFN-alpha. Thus CAA exposure for 24 h leads to a downregulation of of the AP-1 members JUNB and FOS, whereas there is small positive effect on CREB mRNA. CAA reproducibly lowers the expression of IL-2, 3, 4, 6 and 8, whereas the levels of TNFalpha and TGFbeta1 and 3 mRNA were not altered. IFN-alpha mRNA levels were reproducibly increased (>2-fold). In conclusion, CAA seems to interact with Ca2+ and cAMP signalling pathways, with a strong impact on AP-1 proteins and inflammatory signalling. Keywords: stress response to toxic agent
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Project description:A properly functioning immune system is vital for an organism's wellbeing. Immune tolerance is a critical feature of the immune system that allows immune cells to mount effective responses against exogenous pathogens such as viruses and bacteria, while preventing attack to self-tissues. Activation-induced cell death (AICD) in T lymphocytes, in which repeated stimulations of the T-cell receptor (TCR) lead to activation and then apoptosis of T cells, is a major mechanism for T cell homeostasis and helps maintain peripheral immune tolerance. Defects in AICD can lead to development of autoimmune diseases. Despite its importance, the regulatory mechanisms that underlie AICD remain poorly understood, particularly at an integrative network level. Here, we develop a dynamic multi-pathway model of the integrated TCR signalling network and perform model-based analysis to characterize the network-level properties of AICD. Model simulation and analysis show that amplified activation of the transcriptional factor NFAT in response to repeated TCR stimulations, a phenomenon central to AICD, is tightly modulated by a coupled positive-negative feedback mechanism. NFAT amplification is predominantly enabled by a positive feedback self-regulated by NFAT, while opposed by a NFAT-induced negative feedback via Carabin. Furthermore, model analysis predicts an optimal therapeutic window for drugs that help minimize proliferation while maximize AICD of T cells. Overall, our study provides a comprehensive mathematical model of TCR signalling and model-based analysis offers new network-level insights into the regulation of activation-induced cell death in T cells
Model is encoded by Johannes and submitted to BioModels by Ahmad Zyoud.
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Project description:A properly functioning immune system is vital for an organism's wellbeing. Immune tolerance is a critical feature of the immune system that allows immune cells to mount effective responses against exogenous pathogens such as viruses and bacteria, while preventing attack to self-tissues. Activation-induced cell death (AICD) in T lymphocytes, in which repeated stimulations of the T-cell receptor (TCR) lead to activation and then apoptosis of T cells, is a major mechanism for T cell homeostasis and helps maintain peripheral immune tolerance. Defects in AICD can lead to development of autoimmune diseases. Despite its importance, the regulatory mechanisms that underlie AICD remain poorly understood, particularly at an integrative network level. Here, we develop a dynamic multi-pathway model of the integrated TCR signalling network and perform model-based analysis to characterize the network-level properties of AICD. Model simulation and analysis show that amplified activation of the transcriptional factor NFAT in response to repeated TCR stimulations, a phenomenon central to AICD, is tightly modulated by a coupled positive-negative feedback mechanism. NFAT amplification is predominantly enabled by a positive feedback self-regulated by NFAT, while opposed by a NFAT-induced negative feedback via Carabin. Furthermore, model analysis predicts an optimal therapeutic window for drugs that help minimize proliferation while maximize AICD of T cells. Overall, our study provides a comprehensive mathematical model of TCR signalling and model-based analysis offers new network-level insights into the regulation of activation-induced cell death in T cells
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Project description:During persistent antigen stimulation, CD8+ cytolytic T cells (CTL) show a gradual decrease in effector function, or “exhaustion”, which impairs the immune response to tumors and infections. Here we show that NFAT, a transcription factor with an established role in T cell activation, in parallel controls a second transcriptional program conferring the characteristic features of CD8+ T cell exhaustion, including upregulation of genes encoding inhibitory cell surface receptors and diminished TCR signaling. Expression of an engineered NFAT1, which induces this negative regulatory program in the absence of the effector program, interferes with the ability of CD8+ T cells to protect against Listeria infection or attenuate tumor growth in vivo. NFAT elicits this second program of gene expression in large part by binding to a subset of the sites occupied by NFAT during a typical effector response, suggesting that a balance between the two pathways determines the outcome of TCR signaling. Determination of NFAT1 binding sites in CD8 T cells in vitro
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Project description:During persistent antigen stimulation, CD8+ cytolytic T cells (CTL) show a gradual decrease in effector function, or “exhaustion”, which impairs the immune response to tumors and infections. Here we show that NFAT, a transcription factor with an established role in T cell activation, in parallel controls a second transcriptional program conferring the characteristic features of CD8+ T cell exhaustion, including upregulation of genes encoding inhibitory cell surface receptors and diminished TCR signaling. Expression of an engineered NFAT1, which induces this negative regulatory program in the absence of the effector program, interferes with the ability of CD8+ T cells to protect against Listeria infection or attenuate tumor growth in vivo. NFAT elicits this second program of gene expression in large part by binding to a subset of the sites occupied by NFAT during a typical effector response, suggesting that a balance between the two pathways determines the outcome of TCR signaling.
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