Cytokine–ontogeny interaction shapes macrophage transcriptional states (M-CSF–derived macrophages)
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE304647 | GEO | 2025/09/30
REPOSITORIES: GEO
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Project description:In GM-CSF–derived macrophages, bulk RNA-seq was performed on five biological replicates per cytokine condition (IL‑4, IFN‑γ, IL‑10, TGF‑β). IL‑4 separated along PC1 (47% variance) but showed no additional Hallmark enrichment. PC2 (25% variance) distinguished the IFN‑γ pole characterized by IRF1/STAT1-regulated genes (Gbp genes, Cxcl9), from IL‑4 and IL‑10/TGF‑β poles, denoting distinct remodeling programs. These data establish an ontogeny‑dependent divergence at the transcriptomic level.
2025-09-30 | GSE304645 | GEO
Project description:To account for the within-state heterogeneity of GM-CSF compared to M-CSF macrophages (Helft et al. 2015), we performed multiplexed scRNA-seq on 49,441 GM-CSF–derived macrophages stimulated with IL‑4, IFN‑γ, IL‑10, or TGF‑β. Cells were visualized by principal component analysis (PC1 = 13.21%, PC2 = 4.65%), which recapitulated patterns previously observed in bulk RNA-seq. IL‑4 displaced cells farthest along PC1 towards a cell cluster enriched for NfkB controlled gene expression with high Ccl22 and Ccr7, consistent with a dendritic‑cell‑like, T‑cell‑activating phenotype. IFN‑γ dominated PC2, retaining high MHC-II expression while adding a complement/interferon module (C1qb, C1qc, Gbp2, Irf1), and showed enrichment for IRF1/8 and STAT1 transcription factor signatures. TGF‑β and IL‑10 co-clustered in the PC1/PC2 low quadrant and shared expression of reparative markers including Chil3 and Cd24, forming an immunosuppressive, trophic branch distinct from either inflammatory pole. Together, these data show that within the GM-CSF lineage, IL‑4 and IFN‑γ drive orthogonal inflammatory trajectories, whereas IL‑10 and TGF‑β consolidate a shared remodeling program.
2025-09-30 | GSE304596 | GEO
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2025-09-30 | GSE304646 | GEO
Project description:Interventions: Juzentaihoto is administered orally 7.5g/day in 2-3 dosages, before or between meals Total duration of test: 24 weeks starting from one week after surgery
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Primary outcome(s): 1.ECOG’s Performance Status (ECOG=Eastern Cooperative Oncology Group) 2.Weight 3.QOL-ACD (The QOL Questionnaire for Cancer Patients Treated with Anticancer Drugs) 4.Hematological test (RBC, Hb, Ht, WBC, differential leukocyte count, PLT) 5.Serum albumin 6.Cell-mediated immunity (HLA-DR/CD3, CD11b/CD8, NK-cell activity) 7.Blood cytokine (IL-6, IL-10, IL-12, IL-18, TGF-beta, IFN-gamma) 8.Carcinoembryonic antigen (CEA) 9.Recurrence of cancer 10.Metastasis of cancer 11.Duration of anticancer drug therapy
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Project description:Cerebral malaria (CM) is a severe and often fatal complication of Plasmodium falciparum infection. Although much progress has been made in understanding CM, the precise pathogenesis remains elusive. The olfactory bulb (OB) has emerged as a critical site of immunopathology in experimental cerebral malaria (ECM) models, but its contribution to disease progression is not fully understood. To investigate the molecular mechanisms driving early ECM pathogenesis, we conducted transcriptomic profiling of the OB to identify key gene signatures associated with disease onset. Our analysis revealed significant early upregulation of IFN-inducible GTPases, particularly Irgb6 and Gbp4, effectors downstream of IFN-γ, but not IFN-α/β signalling, suggesting their involvement in ECM pathology. Using Gbp4-/-, Irgb6-/-, and double knockout (Irgb6-/- Gbp4-/-) mice, we identified a synergistic pathological role for these GTPases. Mechanistically, we found that double-knockout mice exhibited increased infiltration of CD4+ and CD8+ T cells into the brain but with reduced T cell functionality and impaired antigen presentation by endothelial cells, leading to enhanced parasite accumulation in the OB. This disruption in immune regulation ultimately conferred improved survival in the Irgb6-/- Gbp4-/- mice and indicated the pathological impact of Gbp4 and Irgb6 in ECM. These findings reveal that Gbp4 and Irgb6 synergistically play crucial roles in the early immunopathogenesis of ECM by modulating antigen processing and presentation in the OB, thereby shaping immune cell dynamics. Our work shows the dual role of Irgb6 and Gbp4 GTPases in host defence and immunopathology and offers new insights into ECM mechanisms and potential therapeutic targets for CM intervention.
2025-07-01 | GSE282591 | GEO
Project description:The etiology of autoimmune hepatitis is poorly understood but likely involves Th1 cells producing IFN-γ. BALB/c background TGF-β1-/- mice rapidly develop fulminant Th1-mediated autoimmune hepatitis. Our aims are to profile liver gene expression in TGF-β1-/- mice, to identify gene expression pathways dependent on IFN-γ as possible targets for rational therapy, and to test potential targets directly in vivo in mice. Keywords: Comparative analysis of gene expression in livers of WT, TGFB1 & IFN knockout mice DNA microarray analyses were applied to liver RNA from TGF-β1-/- mice, TGF-β1-/- /IFN-γ-/- mice, and TGF-β1+/+ littermate controls. 3 mice from each group were analyzed in this study.
2009-02-28 | E-GEOD-9892 | biostudies-arrayexpress
Project description:IFN-γ has been reported to be the ABC-promoting cytokine combined with signaling from IL-21, CD40L, Ag-BCR and TLR7 agonist. Hence, we adopted the in vitro differentiation cocktails (anti-IgM, R848, anti-CD40, IL-21 plus IFN-γ or IL-4) to determine the role of IFN-γ in ABC differentiation. Mouse splenic B cells were purified by negative selection and cultured in the presence of the above cocktails. Compared with IL-4, IFN-γ-polarized cells preferentially differentiated to ABC-like cells. And RNA-seq were performed on IFN-γ-polarized cells and IL-4-polarized cells.
2023-02-17 | E-MTAB-12569 | biostudies-arrayexpress
Project description:Macrophages are known to be polarized into inflammatory (M1) and immunoregulatory (M2) cells when they are stimulated by agonists such as IFN-gamma and IL-4, respectively. If circulating monocytes may be polarized in response to T cell signals is often misguidedly deduced from macrophage results. Here the transcriptional responses of human CD14+ monocytes to IFN-gamma and IL-4 were analyzed using whole genome microarrays. A principal component analysis and hierarchical clustering showed that monocyte and macrophage responses were distinct. Monocytes stimulated with IFN-gamma and IL-4 for 6 hours exhibited some features of macrophage polarization. Indeed, when 80 genes considered as M1 and M2 genes were analyzed, we found that M1 genes were modulated in response to IFN-gamma and that M2 genes were modulated in response to IL-4. The M1 polarization of monocytes was transient because only M2 genes were modulated when monocytes were stimulated with IFN-gamma and IL-4 for 18 hours. However, the activation of monocytes by IFN-gamma and IL-4 could not be reduced to M1/M2 polarization status. Indeed, monocytes exhibited early specific signatures composed of 46 and 39 up-regulated genes in response to IFN-gamma and IL-4, respectively, and a late signature common to both molecules that consisted of 57 up-regulated genes. Taken together, these results demonstrated the extreme plasticity of human monocytes and suggested the existence of a core transcriptional termination program. Using early and late signatures might be pertinent to investigate monocyte activation in inflammatory or infectious diseases. Monocytes were stimulated with IFN-gamma (20ng/mL) or IL-4 (20ng/mL) for 6 and 18 hours or culture for 6 and 18 hours without agonist (Unstimulated samples). Monocytes-derived-macrophages (MDM) stimulated with IFN-gamma and IL-4 for 18 hours were used as controls. Each microarray is derived from a single biological sample.
2013-03-15 | E-GEOD-36537 | biostudies-arrayexpress
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: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