Dataset Information

Molecular network analysis of endometriosis reveals a role for c-Jun-regulated macrophage activation.

ABSTRACT: Clinical management of endometriosis is limited by the complex relationship between symptom severity, heterogeneous surgical presentation, and variability in clinical outcomes. As a complement to visual classification schemes, molecular profiles of disease activity may improve risk stratification to better inform treatment decisions and identify new approaches to targeted treatment. We use a network analysis of information flow within and between inflammatory cells to discern consensus behaviors characterizing patient subpopulations. Unsupervised multivariate analysis of cytokine profiles quantified by multiplex immunoassays identified a subset of patients with a shared "consensus signature" of 13 elevated cytokines that was associated with common clinical features of endometriosis, but was not observed among patient subpopulations defined by morphologic presentation alone. Enrichment analysis of consensus markers reinforced the primacy of peritoneal macrophage infiltration and activation, which was demonstrably elevated in ex vivo cultures. Although familiar targets of the nuclear factor ?B family emerged among overrepresented transcriptional binding sites for consensus markers, our analysis provides evidence for an unexpected contribution from c-Jun, c-Fos, and AP-1 effectors of mitogen-associated kinase signaling. Their crucial involvement in propagation of macrophage-driven inflammatory networks was confirmed via targeted inhibition of upstream kinases. Collectively, these analyses suggest a clinically relevant inflammatory network that may serve as an objective measure for guiding treatment decisions for endometriosis management, and in the future may provide a mechanistic endpoint for assessing efficacy of new agents aimed at curtailing inflammatory mechanisms that drive disease progression.

SUBMITTER: Beste MT

PROVIDER: S-EPMC4118592 | biostudies-literature | 2014 Feb

REPOSITORIES: biostudies-literature

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Molecular network analysis of endometriosis reveals a role for c-Jun-regulated macrophage activation.

Beste Michael T MT Pfäffle-Doyle Nicole N Prentice Emily A EA Morris Stephanie N SN Lauffenburger Douglas A DA Isaacson Keith B KB Griffith Linda G LG

Science translational medicine 20140201 222

Clinical management of endometriosis is limited by the complex relationship between symptom severity, heterogeneous surgical presentation, and variability in clinical outcomes. As a complement to visual classification schemes, molecular profiles of disease activity may improve risk stratification to better inform treatment decisions and identify new approaches to targeted treatment. We use a network analysis of information flow within and between inflammatory cells to discern consensus behaviors ...[more]

PMID: 24500404

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Project description:Macrophage activation is associated with profound transcriptional reprogramming. Although much progress has been made in the understanding of macrophage activation, polarization and function, the transcriptional programs regulating these processes remain poorly characterized. We stimulated human macrophages with diverse activation signals, acquiring a dataset of 299 macrophage transcriptomes. Analysis of this dataset revealed a spectrum of macrophage activation states extending the current M1 versus M2-polarization model. Network analyses identified central transcriptional regulators associated with all macrophage activation complemented by regulators related to stimulus-specific programs. Applying these transcriptional programs to human alveolar macrophages from smokers and patients with chronic obstructive pulmonary disease (COPD) revealed an unexpected loss of inflammatory signatures in COPD patients. Finally, by integrating murine data from the ImmGen project we propose a refined, activation-independent core signature for human and murine macrophages. This resource serves as a framework for future research into regulation of macrophage activation in health and disease. Illumina: To better understand the transcriptional program of human macrophages a set of different stimuli were used to activate and differentiate human macrophages in vitro. These macrophages were then assessed by transcriptomics and analyzed by different approaches using gene co-regulation analysis, SOM-clustering, hierarchical clustering, reverse network engineering and statistical models such as ANOVA. Affymetrix: To understand the relationship of in vivo macrophages with in vitro stimulations, two alveaolar macrophage datasets GSE13896 (COPD patients, smokers and non-smokers) and GSE2125 (asthmatic patients, smokers and non-smokers) were downloaded and processed together. In total, the combined dataset consists of 12 COPD samples, 15 asthmatic, 49 smoker samples and 39 non-smokers as control. Clustering of the samples (such as correlation network, principal component analysis and hierarchical clustering) and Gene Set Enrichment Analysis was performed on differentially expressed genes from 28 in vitro conditions.

Dataset Information

Molecular network analysis of endometriosis reveals a role for c-Jun-regulated macrophage activation.

Publications

Molecular network analysis of endometriosis reveals a role for c-Jun-regulated macrophage activation.

Similar Datasets

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