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A systems immunology approach identifies the collective impact of 5 miRs in Th2 inflammation
Ayşe Kılıç, Marc Santolini, Taiji Nakano, Matthias Schiller, Mizue Teranishi, Pascal Gellert, Yuliya Ponomareva, Thomas Braun, Shizuka Uchida, Scott T. Weiss, Amitabh Sharma, Harald Renz
Ayşe Kılıç, Marc Santolini, Taiji Nakano, Matthias Schiller, Mizue Teranishi, Pascal Gellert, Yuliya Ponomareva, Thomas Braun, Shizuka Uchida, Scott T. Weiss, Amitabh Sharma, Harald Renz
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Research Article Immunology Inflammation

A systems immunology approach identifies the collective impact of 5 miRs in Th2 inflammation

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Abstract

Allergic asthma is a chronic inflammatory disease dominated by a CD4+ T helper 2 (Th2) cell signature. The immune response amplifies in self-enforcing loops, promoting Th2-driven cellular immunity and leaving the host unable to terminate inflammation. Posttranscriptional mechanisms, including microRNAs (miRs), are pivotal in maintaining immune homeostasis. Since an altered expression of various miRs has been associated with T cell–driven diseases, including asthma, we hypothesized that miRs control mechanisms ensuring Th2 stability and maintenance in the lung. We isolated murine CD4+ Th2 cells from allergic inflamed lungs and profiled gene and miR expression. Instead of focusing on the magnitude of miR differential expression, here we addressed the secondary consequences for the set of molecular interactions in the cell, the interactome. We developed the Impact of Differential Expression Across Layers, a network-based algorithm to prioritize disease-relevant miRs based on the central role of their targets in the molecular interactome. This method identified 5 Th2-related miRs (mir27b, mir206, mir106b, mir203, and mir23b) whose antagonization led to a sharp reduction of the Th2 phenotype. Overall, a systems biology tool was developed and validated, highlighting the role of miRs in Th2-driven immune response. This result offers potentially novel approaches for therapeutic interventions.

Authors

Ayşe Kılıç, Marc Santolini, Taiji Nakano, Matthias Schiller, Mizue Teranishi, Pascal Gellert, Yuliya Ponomareva, Thomas Braun, Shizuka Uchida, Scott T. Weiss, Amitabh Sharma, Harald Renz

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Figure 6

IDEAL predicts the collective impact of miRs in stable Th2 cells.

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IDEAL predicts the collective impact of miRs in stable Th2 cells.
(A) Th...
(A) The cumulative impact after removing n miRs is measured by the collective impact (CI), a measure that systematically compares the largest connected component (LCC) relative size after attack by n miRs to that expected at random. A peak of CI at approximately 5 miRs was observed, indicating maximal impact for stable Th2 and approximately 10 miRs for early Th2 (B). (C) Venn diagram comparing the top-ranking miRs with fold-change (FC) and Impact of Differential Expression Across Layers (IDEAL) methods. (D) The stable Th2 disease module is shown (genes, circles; miRs, V’s). The top 5 miRs are highlighted in red, and their targets in dark red. Node size is proportional to degree. The subnetwork highlights the top pathways enriched among the target genes and first neighbors of particular miR in the interactome. The blue circles mark the mTOR, yellow the EGFR1, purple the TGF/SMAD, red the IL-5, and green the TRIF pathway. The common nodes among the pathways are circled in black.

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ISSN 2379-3708

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