Role of CDK8 in interferon-gamma-induced gene expression
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE40728 | GEO | 2013/02/28
SECONDARY ACCESSION(S): PRJNA174765
REPOSITORIES: GEO
Similar Datasets
Project description:Gene regulation by cytokine-activated STAT transcription factors requires serine phosphorylation within the transactivation domain (TAD). STAT1 and STAT3 TAD phosphorylation was reported to occur upon promoter binding by an unknown kinase. Here we show that the Mediator CDK8 module phosphorylates S727 of the STAT1 TAD in the interferon (IFN) signaling pathway as well as the TADs of other STATs. Microarray analysis reveals that CDK8-mediated STAT1 TAD phosphorylation positively or negatively regulates over 40% of IFN-gamma-responsive genes, and RNA polymerase II occupancy correlates with gene expression changes. This selective regulation occurs despite CDK8 occupancy and STAT1 S727 phosphorylation at both S727 phosphorylation-dependent and -independent IFN-gamma target genes. Independently of its role as STAT1 S727 kinase CDK8 acts as a positive regulator of IFN-gamma responses. These data reveal a dual input of CDK8 in STAT1-controlled transcription and propose a key role for CDK8 in TAD phosphorylation of other STATs during cytokine responses. STAT1 WT and STAT1 S727A mouse fibroblasts were treated with siRNA to CDK8 (siCdk8 smart pool, On Target Plus, Dharmacon) and control siRNA (siCtrl) and stimulated with IFN-gamma for 4 h or left untreated. Total RNA from three independent experiments for each treatment and each genotype was isolated from cells using Trizol reagent (Invitrogen) following the manufactures protocol and used for expression analysis using Agilent Whole Mouse Genome Microarrays, 8x60K. Standard protocols for labeling and hybridization were followed. In brief, fluorescent cRNA was generated using Low Input Quick Amp Labeling Kit (Agilent). The amplified cyanine 3-labeled cRNA samples were then purified using SV Total RNA Isolation System (Promega) and hybridized to microarray slides. Microarray slides were washed and scanned with an Agilent Scanner. Note: The outlier array #10 [SA.CDK.gamma.R3] was removed from subsequent analysis and its processed data was not provided. However, its raw data file has been linked as a supplementary file at the foot of the Series record.
2013-02-28 | E-GEOD-40728 | biostudies-arrayexpress
Project description:Synergistic activation of inflammatory cytokine genes by IFN-gamma and TLR signaling is important for innate immunity and inflammatory disease pathogenesis, but underlying mechanisms are not known. By obtaining over three billion bases of sequence from chromatin immunoprecipitated DNA, we generated genome-wide chromatin-state maps of human primary monocytes under IFN-gamma-priming and TLR stimulation. We found that IFN-gamma induced genome-wide sustained occupancy of STAT1, IRF-1 and associated histone acetylation at TSS-proximal and distal regulatory elements and provided a synergy mechanism whereby IFN-gamma creates a primed chromatin environment to augment TLR-induced gene transcription, which suggest therapeutic approaches that selectively target priming mechanisms. Examination and comparison of the changes in TF binding and histone modification in human primary monocytes under different conditions.
2013-09-20 | E-GEOD-43036 | biostudies-arrayexpress
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.
2014-08-19 | 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.
2014-08-19 | BIOMD0000000544 | BioModels
Project description:Synergistic activation of inflammatory cytokine genes by IFN-gamma and TLR signaling is important for innate immunity and inflammatory disease pathogenesis, but underlying mechanisms are not known. By obtaining over three billion bases of sequence from chromatin immunoprecipitated DNA, we generated genome-wide chromatin-state maps of human primary monocytes under IFN-gamma-priming and TLR stimulation. We found that IFN-gamma induced genome-wide sustained occupancy of STAT1, IRF-1 and associated histone acetylation at TSS-proximal and distal regulatory elements and provided a synergy mechanism whereby IFN-gamma creates a primed chromatin environment to augment TLR-induced gene transcription, which suggest therapeutic approaches that selectively target priming mechanisms.
2013-09-20 | GSE43036 | GEO
Project description:Intracellular pathogens including the apicomplexan and opportunistic parasite Toxoplasma gondii profoundly modify their host cells in order to establish infection. We have shown previously that intracellular T. gondii inhibit up-regulation of regulatory and effector functions in murine macrophages (MΦ) stimulated with interferon (IFN)-γ, which is the cytokine crucial for controlling the parasites’ replication. Using genome-wide transcriptome analysis we show herein that infection with T. gondii leads to global unresponsiveness of murine macrophages to IFN-γ. More than 61% and 89% of the transcripts, which were induced or repressed by IFN-γ in non-infected MΦ, respectively, were not altered after stimulation of T. gondii-infected cells with IFN-γ. These genes are involved in a variety of biological processes, which are mostly but not exclusively related to immune responses. Analyses of the underlying mechanisms revealed that IFN-γ-triggered nuclear translocation of STAT1 still occurred in Toxoplasma-infected MΦ. However, STAT1 bound aberrantly to oligonucleotides containing the IFN-γ-responsive gamma-activated site (GAS) consensus sequence. Conversely, IFN-γ did not induce formation of active GAS-STAT1 complexes in nuclear extracts from infected MΦ. Mass spectrometry of protein complexes bound to GAS oligonucleotides showed that T. gondii-infected MΦ are unable to recruit non-muscle actin to IFN-γ-responsive DNA sequences, which appeared to be independent of stimulation with IFN-γ and of STAT1 binding. IFN-γ-induced recruitment of BRG-1 and acetylation of core histones at the IFN-γ-regulated CIITA promoter IV, but not β-actin was diminished by >90% in Toxoplasma-infected MΦ as compared to non-infected control cells. Remarkably, treatment with histone deacetylase inhibitors restored the ability of infected macrophages to express the IFN-γ regulated genes H2-A/E and CIITA. Taken together, these results indicate that Toxoplasma-infected MΦ are unable to respond to IFN-γ due to disturbed chromatin remodelling, but can be rescued using histone deacetylase inhibitors. Comparison of 4 different RNA pools with a 2-Color-Loop Design including 10 microarrays: [1] T. gondii infected and IFN-gamma treated, [2] T. gondii infected and untreated, [3] Non-infected and IFN-gamma treated, and [4] Non-infected and untreated.
2012-01-25 | E-GEOD-28499 | biostudies-arrayexpress
Project description:A single high dose of IFN? activates powerful cellular responses in which many antiviral, pro-apoptotic, and anti-proliferative proteins are highly expressed. Since some of these proteins are deleterious, cells down-regulate this initial response rapidly. However, the expression of many antiviral proteins that do no harm is sustained, prolonging a substantial part of the initial antiviral response for days and also providing resistance to DNA damage. While the transcription factor ISGF3 (IRF9 and tyrosine-phosphorylated STATs 1 and 2) drives the first rapid response phase, the related factor un-phosphorylated ISGF3 (U-ISGF3), formed by IFN?-induced high levels of IRF9 and STATs 1 and 2 without tyrosine phosphorylation, drives the second prolonged response. The U-ISGF3-induced antiviral genes that show prolonged expression are driven by distinct interferon stimulated response elements (ISREs). Continuous exposure of cells to a low level of IFN?, often seen in cancers, leads to steady-state increased expression of only the U-ISGF3-dependent proteins, with no sustained increase of other IFN?-induced proteins, and to constitutive resistance to DNA damage. We classified genes into U-ISGF3-induced genes and classical ISGF3-induced genes using microarray data. We identified 150 genes that are up-regulated by IFN? after 6 h. Among these IFN?-induced genes, only 29 (20%) were induced by the up-regulation of Y701F-STAT1, indicating that these are induced by U-ISGF3. Among the remaining 121 IFN?-induced genes (150 minus 29), 73 are induced by IFN? as well as IFN?, and 48 are induced only by IFN?. Total 5 RNA samples were analyzed in duplicate on microarray chips. Untreated cells and empty vector-transfected cells were the control of IFN treated cells and Y701F-STAT1-transfected cells, respectively.
2013-09-18 | E-GEOD-50954 | biostudies-arrayexpress
Project description:Complete polarization of macrophages towards an M1-like proinflammatory and antimicrobial state requires combined action of IFN-γ and LPS. Synergistic activation of canonical inflammatory NF-κB target genes by IFN-γ and LPS is well appreciated, but less is known about whether IFN-γ negatively regulates components of the LPS response, and how this affects polarization. A combined transcriptomic and epigenomic approach revealed that IFN-γ selectively abrogates LPS-induced feedback and select metabolic pathways by suppressing TLR4-mediated activation of gene enhancers. In contrast to superinduction of inflammatory genes via enhancers that harbor IRF sequences and bind STAT1, IFN-γ-mediated repression targeted enhancers with STAT sequences that bound STAT3. TLR4-activated IFN-γ-suppressed enhancers comprised two subsets distinguished by differential regulation of histone acetylation and recruitment of STAT3, CDK8 and cohesin, and were functionally inactivated by IFN-γ. These findings reveal that IFN-γ suppresses feedback inhibitory and metabolic components of the TLR response to achieve full M1 polarization, and provide insights into mechanisms by which IFN-γ selectively inhibits TLR4-induced transcription.
2019-06-20 | GSE130567 | GEO
Project description:Complete polarization of macrophages towards an M1-like proinflammatory and antimicrobial state requires combined action of IFN-γ and LPS. Synergistic activation of canonical inflammatory NF-κB target genes by IFN-γ and LPS is well appreciated, but less is known about whether IFN-γ negatively regulates components of the LPS response, and how this affects polarization. A combined transcriptomic and epigenomic approach revealed that IFN-γ selectively abrogates LPS-induced feedback and select metabolic pathways by suppressing TLR4-mediated activation of gene enhancers. In contrast to superinduction of inflammatory genes via enhancers that harbor IRF sequences and bind STAT1, IFN-γ-mediated repression targeted enhancers with STAT sequences that bound STAT3. TLR4-activated IFN-γ-suppressed enhancers comprised two subsets distinguished by differential regulation of histone acetylation and recruitment of STAT3, CDK8 and cohesin, and were functionally inactivated by IFN-γ. These findings reveal that IFN-γ suppresses feedback inhibitory and metabolic components of the TLR response to achieve full M1 polarization, and provide insights into mechanisms by which IFN-γ selectively inhibits TLR4-induced transcription.
2019-06-12 | GSE120944 | GEO
Project description:Complete polarization of macrophages towards an M1-like proinflammatory and antimicrobial state requires combined action of IFN-γ and LPS. Synergistic activation of canonical inflammatory NF-κB target genes by IFN-γ and LPS is well appreciated, but less is known about whether IFN-γ negatively regulates components of the LPS response, and how this affects polarization. A combined transcriptomic and epigenomic approach revealed that IFN-γ selectively abrogates LPS-induced feedback and select metabolic pathways by suppressing TLR4-mediated activation of gene enhancers. In contrast to superinduction of inflammatory genes via enhancers that harbor IRF sequences and bind STAT1, IFN-γ-mediated repression targeted enhancers with STAT sequences that bound STAT3. TLR4-activated IFN-γ-suppressed enhancers comprised two subsets distinguished by differential regulation of histone acetylation and recruitment of STAT3, CDK8 and cohesin, and were functionally inactivated by IFN-γ. These findings reveal that IFN-γ suppresses feedback inhibitory and metabolic components of the TLR response to achieve full M1 polarization, and provide insights into mechanisms by which IFN-γ selectively inhibits TLR4-induced transcription.
2019-06-12 | GSE120943 | GEO