Kinetics of cytokine receptor trafficking determine signaling and functional selectivity
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE130810 | GEO | 2019/12/03
REPOSITORIES: GEO
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Project description:IL-6 and IL-27 have antagonistic and overlapping functions, signal through a shared receptor subunit and employ the same downstream STAT proteins. To evaluate the degree of specificity and redundancy for these cytokines, we quantified global transcriptomic changes induced by the two cytokines and determined the relative contributions of STAT1 and STAT3 using genetic models and ChIP-seq. We found a high degree of overlap of the transcriptomes induced by IL-6 and IL-27 and extremely few examples in which the cytokines acted in opposition. Using STAT deficient cells and T cells from patients with gain-of-function STAT1 mutations, we show that STAT3 was responsible for the overall transcriptional output driven by both cytokines, whereas STAT1 was the driver of cytokine specificity. STAT1 did not compensate for the lack STAT3; on the contrary, much of STAT1 binding to chromatin was STAT3 dependent. Thus, STAT1 shapes the specific cytokine signature superimposed upon STAT3’s action. Integrated analysis of transcriptome and transcription factor binding data from cytokine treated CD4+T cells
2015-05-27 | E-GEOD-65621 | biostudies-arrayexpress
Project description:High levels of inflammation are often present in autoimmune diseases and can impact the functioning of the immune system. Specifically, how surrounding inflammation affects cytokine responses has not been extensively studied. We use IL-6 and IL-27, two cytokines playing opposite roles in inflammation, to ask how cytokines adapt to the inflammatory environment. We show that IL-27 induces a more sustained STAT1 phosphorylation than IL-6, with the two cytokines inducing comparable levels of STAT3 phosphorylation. Mathematical and statistical modelling of IL-6 and IL-27 signaling identify STAT1 (or STAT3) binding dynamics to GP130 (or IL-27R) as the main parameter contributing to sustained pSTAT1 by IL-27. Mutation of Tyr613 on IL-27R decreased IL-27-induced STAT1 phosphorylation by 80%, with limited effect on STAT3 phosphorylation. The strong receptor/STAT coupling by IL-27 led to the induction of a unique gene expression program by this cytokine, which required sustained STAT1 phosphorylation and IRF1 expression and was enriched in classical Interferon Stimulated Genes. Interestingly, the STAT/receptor coupling exhibited by IL-6/IL-27 was altered in Crohn’s disease and SLE patients. IL-6/IL-27 induced a more potent STAT1 activation in SLE patients than in healthy controls, which can be explained by the higher STAT1 expression in these patients. Partial inhibition of JAK activation by sub-saturating doses of Tofacitinib lowered the levels of STAT1 activation by IL-6, representing a new strategy to treat auto-immune disorders where cytokine responses are dysregulated.
2021-04-27 | GSE164479 | GEO
Project description:Interleukin-21 (IL-21) is a type 1 cytokine essential for immune cell differentiation and function. Although IL-21 can activate several STAT family transcription factors, previous studies focused mainly on the role of STAT3 in IL-21 signaling. Here, we investigated the role of STAT1 and show that STAT1 and STAT3 have at least partially opposing roles in IL-21 signaling in CD4+ T cells. IL-21 induced STAT1 phosphorylation, and this was augmented in Stat3-deficient CD4+ T cells. RNA-Seq analysis of CD4+ T cells from Stat1- and Stat3-deficient mice revealed that both STAT1 and STAT3 are critical for IL-21-mediated gene regulation. Expression of some genes, including Tbx21 and Ifng, was differentially regulated by STAT1 and STAT3, and interestingly, ChIP-Seq analysis showed that STAT3 binding at Tbx21 and Ifng loci was attenuated in Stat1-deficient cells. Moreover, opposing actions of STAT1 and STAT3 on IFN- expression in CD4+ T cells were demonstrated in vivo during chronic lymphocytic choriomeningitis (LCMV) infection. Finally, IL-21-mediated induction of STAT1 phosphorylation, as well as IFNG and TBX21 expression, were higher in CD4+ T cells from patients with autosomal dominant hyper-IgE syndrome (AD-HIES), which is caused by STAT3 deficiency. These data indicate an interplay between STAT1 and STAT3 in fine-tuning IL-21 actions. Genome-wide transcription factors mapping and binding of STAT3 in mouse CD4+ T cells in both WT and Stat1-deficient mice. RNA-Seq is performed in mouse CD4+ T cells in WT, Stat1-deficient and Stat3-deficient mice.
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Project description:Interleukin-27 (IL27) is a type-I-cytokine of the IL6/IL12 family predominantly secreted by activated macrophages and dendritic cells. Best understood are the effects of IL27 on immune cells where it has been described to have pro- or anti-inflammatory properties, either promoting TH1 responses or suppressing TH1 and TH2 responses. The action on other cell types is less well studied. In the liver, IL27 expression was observed to be upregulated in patients with hepatitis B, and sera of hepatocellular carcinoma (HCC) patients contain significantly elevated levels of IL27 compared to healthy controls or patients with hepatitis and/or liver cirrhosis. We previously reported interferon-gamma-like antiviral activity of IL27 in hepatic cells. Here we further studied the effects of IL27 on HCC cells in comparison to other cytokines. We were especially interested in the relevance of the IL27-induced STAT3 activation. Thus we compared its response with those induced by IFNg (STAT1-dominated response) or IL6-type cytokines (IL6, Hyper-IL6 or OSM) (STAT3-dominated response). We find that in hepatocytes, IL27 induces an IFNg-like, STAT1-dependent transcriptional response, but we do not find an effective STAT3-dependent response. The availability of STAT1 seems critical in the shaping of the IL27 response, as the siRNA knock-down of STAT1 revealed its ability to induce the acute-phase protein gamma-fibrinogen, a typical IL6 family characteristic. Moreover, we describe a crosstalk between the signaling of IL6-type cytokines and IL27: responses to the gp130-engaging cytokine IL27 (but not those to IFNs) can be inhibited by IL6-type cytokine pre-stimulation, likely by a SOCS3-mediated mechanism. This experiment represents microarray analysis of three hepatocellular carcinoma cell lines treated with IL-27, IFNg, hyper-IL6 or OSM in combination with shRNA knockdown of STAT3.
2017-07-05 | E-MTAB-4570 | biostudies-arrayexpress
Project description:All except one cytokine of the Interleukin (IL-)6 family share glycoprotein (gp) 130 as the common b receptor chain. Whereas Interleukin (IL-)11 signal via the non-signaling IL-11 receptor (IL-11R) and gp130 homodimers, leukemia inhibitory factor (LIF) recruits gp130:LIF receptor (LIFR) heterodimers. Using IL-11 as a framework, we exchange the gp130 binding site III of IL-11 with the LIFR binding site III of LIF. The resulting synthetic cytokimera GIL-11 efficiently recruits the non-natural receptor signaling complex consisting of gp130, IL-11R and LIFR resulting in signal transduction and proliferation of factor-depending Ba/F3 cells. Besides LIF and IL-11, GIL-11 does not activate receptor complexes consisting of gp130:LIFR or gp130:IL-11R, respectively. Human GIL-11 shows cross-reactivity to mouse and rescued IL-6R deficient mice following partial hepatectomy, demonstrating gp130:IL-11R:LIFR signaling efficiently induced liver regeneration. With the development of the cytokimera GIL-11, we devise the functional assembly of the non-natural cytokine receptor complex of gp130:IL-11R:LIFR.
2023-04-19 | GSE226064 | GEO
Project description:The latent transcription factor STAT3 is a point of convergence for numerous oncogenic signaling pathways and is excessively activated in the majority of human epithelial cancers. STAT3 promotes many hallmarks of cancer including enhanced proliferation, increased survival, sustained angiogenesis, immune evasion and tumor-promoting inflammation. We performed chromatin immunoprecipitations (ChIP) followed by next-generation sequencing (ChIP-Seq) to identify genomic Stat3 binding sites in established gastric tumors of gp130F/F mutant mice (Tebbutt et al., 2002) following administration of recombinant human interleukin (IL)-6 or IL11. The study was designed to assess differences in Stat3 recruitment in response to IL6 and IL11, two cytokines which both activate Stat3 through the shared IL6 cytokine family receptor subunit gp130. In gp130F/F mice, a robust model for inflammation-associated intestinal-type gastric tumorigenesis, the Y757F knock-in mutation in the gp130 receptor triggers spontaneous gastric tumor formation in a strictly IL11-dependent manner, but independent of IL6 signaling (Ernst et al., 2008). Therefore, the study aimed to identify IL6- and IL11-specific Stat3 target genes. In total, we identified 948 or 961 significant Stat3-DNA interactions in gp130F/F tumors following IL6 or IL11 administration, respectively. These interactions were validated by binding motif analysis which showed that at least 30% of all Stat3-associated genomic regions comprise a Stat3 consensus binding sequence.
2015-10-01 | GSE48285 | GEO
Project description:The latent transcription factor STAT3 is a point of convergence for numerous oncogenic signaling pathways and is excessively activated in the majority of human epithelial cancers. STAT3 promotes many hallmarks of cancer including enhanced proliferation, increased survival, sustained angiogenesis, immune evasion and tumor-promoting inflammation. We performed chromatin immunoprecipitations (ChIP) followed by next-generation sequencing (ChIP-Seq) to identify genomic Stat3 binding sites in established gastric tumors of gp130F/F mutant mice (Tebbutt et al., 2002) following administration of recombinant human interleukin (IL)-6 or IL11. The study was designed to assess differences in Stat3 recruitment in response to IL6 and IL11, two cytokines which both activate Stat3 through the shared IL6 cytokine family receptor subunit gp130. In gp130F/F mice, a robust model for inflammation-associated intestinal-type gastric tumorigenesis, the Y757F knock-in mutation in the gp130 receptor triggers spontaneous gastric tumor formation in a strictly IL11-dependent manner, but independent of IL6 signaling (Ernst et al., 2008). Therefore, the study aimed to identify IL6- and IL11-specific Stat3 target genes. In total, we identified 948 or 961 significant Stat3-DNA interactions in gp130F/F tumors following IL6 or IL11 administration, respectively. These interactions were validated by binding motif analysis which showed that at least 30% of all Stat3-associated genomic regions comprise a Stat3 consensus binding sequence.
2015-10-01 | GSE48287 | GEO
Project description:Qi2013 - IL-6 and IFN crosstalk model
(non-competitive)
This model
[BIOMD0000000543]
describes the crosstalk between IFN-gamma and IL-6 induced
signalling; it aims to outline mechanisms and factors that may
control the interaction between both signalling pathways,
discussing a role of heterodimer formation in signalling
dysfunction.
To account for the possibility of different IFNR and gp130
binding sites for STAT1 and STAT3, model 1
[BIOMD0000000543]
assumes that there is no competition between STAT1 and STAT3 for
the receptor complexes (includes two extra reactions).
The reverse of this is true in model 2
[BIOMD0000000544]
where it generally is assumed that there is competition between
STAT1 and STAT3 for the receptor complexes.
This model is described in the article:
Elucidating the crosstalk
mechanism between IFN-gamma and IL-6 via mathematical
modelling.
Qi YF, Huang YX, Wang HY, Zhang Y,
Bao YL, Sun LG, Wu Y, Yu CL, Song ZB, Zheng LH, Sun Y, Wang GN,
Li YX.
BMC Bioinformatics 2013; 14: 41
Abstract:
BACKGROUND: Interferon-gamma (IFN-gamma) and interleukin-6
(IL-6) are multifunctional cytokines that regulate immune
responses, cell proliferation, and tumour development and
progression, which frequently have functionally opposing roles.
The cellular responses to both cytokines are activated via the
Janus kinase/signal transducer and activator of transcription
(JAK/STAT) pathway. During the past 10 years, the crosstalk
mechanism between the IFN-gamma and IL-6 pathways has been
studied widely and several biological hypotheses have been
proposed, but the kinetics and detailed crosstalk mechanism
remain unclear. RESULTS: Using established mathematical models
and new experimental observations of the crosstalk between the
IFN-gamma and IL-6 pathways, we constructed a new crosstalk
model that considers three possible crosstalk levels: (1) the
competition between STAT1 and STAT3 for common receptor docking
sites; (2) the mutual negative regulation between SOCS1 and
SOCS3; and (3) the negative regulatory effects of the formation
of STAT1/3 heterodimers. A number of simulations were tested to
explore the consequences of cross-regulation between the two
pathways. The simulation results agreed well with the
experimental data, thereby demonstrating the effectiveness and
correctness of the model. CONCLUSION: In this study, we
developed a crosstalk model of the IFN-gamma and IL-6 pathways
to theoretically investigate their cross-regulation mechanism.
The simulation experiments showed the importance of the three
crosstalk levels between the two pathways. In particular, the
unbalanced competition between STAT1 and STAT3 for IFNR and
gp130 led to preferential activation of IFN-gamma and IL-6,
while at the same time the formation of STAT1/3 heterodimers
enhanced preferential signal transduction by sequestering a
fraction of the activated STATs. The model provided a good
explanation of the experimental observations and provided
insights that may inform further research to facilitate a
better understanding of the cross-regulation mechanism between
the two pathways.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000543.
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.
2024-09-02 | BIOMD0000000543 | BioModels
Project description:Qi2013 - IL-6 and IFN crosstalk model
This model
[BIOMD0000000544]
describes the crosstalk between IFN-gamma and IL-6 induced
signalling; it aims to outline mechanisms and factors that may
control the interaction between both signalling pathways,
discussing a role of heterodimer formation in signalling
dysfunction.
To account for the possibility of different IFNR and gp130
binding sites for STAT1 and STAT3, model 1
[BIOMD0000000543]
assumes that there is no competition between STAT1 and STAT3 for
the receptor complexes (includes two extra reactions).
The reverse of this is true in model 2
[BIOMD0000000544]
where it generally is assumed that there is competition between
STAT1 and STAT3 for the receptor complexes.
This model is described in the article:
Elucidating the crosstalk
mechanism between IFN-gamma and IL-6 via mathematical
modelling.
Qi YF, Huang YX, Wang HY, Zhang Y,
Bao YL, Sun LG, Wu Y, Yu CL, Song ZB, Zheng LH, Sun Y, Wang GN,
Li YX.
BMC Bioinformatics 2013; 14: 41
Abstract:
BACKGROUND: Interferon-gamma (IFN-gamma) and interleukin-6
(IL-6) are multifunctional cytokines that regulate immune
responses, cell proliferation, and tumour development and
progression, which frequently have functionally opposing roles.
The cellular responses to both cytokines are activated via the
Janus kinase/signal transducer and activator of transcription
(JAK/STAT) pathway. During the past 10 years, the crosstalk
mechanism between the IFN-gamma and IL-6 pathways has been
studied widely and several biological hypotheses have been
proposed, but the kinetics and detailed crosstalk mechanism
remain unclear. RESULTS: Using established mathematical models
and new experimental observations of the crosstalk between the
IFN-gamma and IL-6 pathways, we constructed a new crosstalk
model that considers three possible crosstalk levels: (1) the
competition between STAT1 and STAT3 for common receptor docking
sites; (2) the mutual negative regulation between SOCS1 and
SOCS3; and (3) the negative regulatory effects of the formation
of STAT1/3 heterodimers. A number of simulations were tested to
explore the consequences of cross-regulation between the two
pathways. The simulation results agreed well with the
experimental data, thereby demonstrating the effectiveness and
correctness of the model. CONCLUSION: In this study, we
developed a crosstalk model of the IFN-gamma and IL-6 pathways
to theoretically investigate their cross-regulation mechanism.
The simulation experiments showed the importance of the three
crosstalk levels between the two pathways. In particular, the
unbalanced competition between STAT1 and STAT3 for IFNR and
gp130 led to preferential activation of IFN-gamma and IL-6,
while at the same time the formation of STAT1/3 heterodimers
enhanced preferential signal transduction by sequestering a
fraction of the activated STATs. The model provided a good
explanation of the experimental observations and provided
insights that may inform further research to facilitate a
better understanding of the cross-regulation mechanism between
the two pathways.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000544.
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.
2024-09-02 | BIOMD0000000544 | BioModels
Project description:IL-6 and IL-27 have antagonistic and overlapping functions, signal through a shared receptor subunit and employ the same downstream STAT proteins. To evaluate the degree of specificity and redundancy for these cytokines, we quantified global transcriptomic changes induced by the two cytokines and determined the relative contributions of STAT1 and STAT3 using genetic models and ChIP-seq. We found a high degree of overlap of the transcriptomes induced by IL-6 and IL-27 and extremely few examples in which the cytokines acted in opposition. Using STAT deficient cells and T cells from patients with gain-of-function STAT1 mutations, we show that STAT3 was responsible for the overall transcriptional output driven by both cytokines, whereas STAT1 was the driver of cytokine specificity. STAT1 did not compensate for the lack STAT3; on the contrary, much of STAT1 binding to chromatin was STAT3 dependent. Thus, STAT1 shapes the specific cytokine signature superimposed upon STAT3’s action.
2015-05-27 | GSE65621 | GEO