CyCLoPs: A approach for detecting immune responses with in vivo labeling of cytokine activity
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE309768 | GEO | 2026/03/11
REPOSITORIES: GEO
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2016-03-08 | E-GEOD-77719 | biostudies-arrayexpress
Project description:Macrophages acquire distinct phenotypes during tissue stress and inflammatory responses. Classically, macrophages are categorized into two different subsets named inflammatory M1 and anti-inflammatory M2 macrophages. We herein identified a unique pathogenic macrophage subpopulation, named M17, driven by IL-23 with a distinct gene expression profile including cytokines and membrane molecules. In contrast to M1 and M2-polarized macrophages, M17 macrophages express high levels of CXCR5 on the cell surface and produce large amounts of IL-17A, IL-22 and IFN-γ. IL-23 induces IL-17A expression in macrophages through the signal transducer and activator of transcription 3 (STAT3)-retinoid related orphan receptor-γ T (RORγT) pathway, while induces IFN-γ through T-bet. Importantly, IL-23-induced M17 macrophage polarization promotes the pathogenesis of psoriasis in vivo. The characteristics and significances of M17 macrophage subpopulation in the physiological status and pathogenesis caused by infections, tumors and graft rejection needs to be explored.
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Project description:Cytokines IL-1 and IFN-gamma have been shown to be the primary effectors of beta-cell destruction during the immune response. The aim of this study was to identify the gene expression changes that are associated with resistance of beta cells to cytokines. INS-1 rat insulinoma cells were grown in increasing doses of cytokines until a resistance phenotype had developed. RNA was prepared from these cytokine resistant sublines as well as the original, cytokine-sensitive parental INS-1 cells in Dr. Chris Newgard's lab, quantified and sent frozen in water. 3-7 biological replicates per condition were sent for the following three conditions: (i) 834/40, Cytokine-sensitive (CS), (ii) 833/15 and 833/117, Cytokine resistant grown in the absence of cytokines (CRu), (iii) 833/15C and 833/117C: Cytokine Resistant Grown in the Presence of Cytokines (CRt)
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Project description:Cultured epidermal keratinocyte controls used for IFNg, TNFa and IL1 treatment. Interferon (IFN)-gamma, is a multifunctional, immunomodulatory cytokine with cell type-specific antiviral activities, particularly important in skin, where it is implicated in many diseases ranging from warts to psoriasis and cancer. Since epidermis is our first line of defence against many viruses, we investigated the molecular processes regulated by IFN-gamma in keratinocytes using DNA microarrays. We identified the IFN-gamma-regulated keratinocyte-specific genes in keratinocytes, IFN-gamma-induced tight junction proteins, presumably to deny viruses paracellular routes of infection. Furthermore, differing from published data, we find that IFN-gamma suppressed the expression of keratinocytes differentiation markers including desmosomal proteins, cornified envelope components and suprabasal cytokeratins. Inhibition of differentiation may interfere with the epidermal tropism of viruses that require differentiating cells for growth, for example, papillomaviruses. As in other cell types, IFN-gamma induced HLA, cell adhesion and proteasome proteins, facilitating leukocyte attraction and antigen-presentation by keratinocytes. IFN-gamma also induced chemokine/cytokines specific for mononuclear cells. IFN-gamma suppressed the expression of over 100 genes responsible for cell cycle, DNA replication and RNA metabolism, thereby shutting down many nuclear processes and denying viruses a healthy cell in which to replicate. Thus, uniquely in keratinocytes, IFN-gamma initiates a well-organized molecular programme boosting host antiviral defences, obstructing viral entry, suppressing cell proliferation and impeding differentiation.
2007-10-26 | E-GEOD-440 | biostudies-arrayexpress
Project description:In psoriasis lesions, a diverse mixture of cytokines is upregulated which influence each other generating a complex inflammatory situation. Although this is the case, the inhibition of Interleukin-17A (IL-17A) alone showed unprecedented clinical results in patients, indicating that IL-17A is a critical inducer of psoriasis pathogenesis. To elucidate IL-17A-driven keratinocyte-intrinsic signaling pathways, we treated monolayers of normal human epidermal keratinocytes in vitro with a mixture of 6 cytokines (IL-17A, TNF-a, IL-17C, IL-22, IL-36g and IFN-g) involved in psoriasis, to mimic the inflammatory milieu in psoriasis lesions. Microarray and gene set enrichment analysis revealed that this cytokine mixture induced similar gene expression changes with the previous transcriptome studies using psoriasis lesions. Importantly, we identified a set of IL-17A-regulated genes in keratinocytes, which recapitulate typical psoriasis genes exemplified by DEFB4A, S100A7, IL19 and CSF3, based on differences in the expression profiles of cells stimulated with 6 cytokines versus cells stimulated with only 5 cytokines lacking IL-17A. Furthermore a specific IL-17A-induced gene, NFKBIZ, which encodes IkappaB-zeta, a transcriptional regulator for NF-kappaB, was demonstrated to have a significant role for IL-17A-induced gene expression. Thus, we present novel in vitro data from normal human keratinocytes that would help elucidating the IL-17A-driven keratinocyte activation in psoriasis.
2016-03-08 | GSE77719 | GEO
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2013-01-01 | E-GEOD-36998 | 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
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and identified by:
BIOMD0000000543.
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2024-09-02 | BIOMD0000000543 | BioModels