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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 5

Prioritizing miRs with maximum collective impact.

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Prioritizing miRs with maximum collective impact.
To prioritize importan...
To prioritize important differentially expressed (DE) miRs, we developed a method for measuring their collective topological impact on a disease module, the Impact of Differential Expression Across Layers (IDEAL). (A) IDEAL starts with a disease module formed by the disease genes (circles) in the interactome, with a set of DE miRs (diamonds) targeting it. The largest connected component (LCC) is shown in orange. (B) Interactions between miRs and mRNAs of opposite fold change (FC) are retained. (C) The central miR has maximal impact, measured by the decrease in LCC size when removing its target, and is therefore the first IDEAL miR. The procedure then iterates to find the new miR with most impact, removes its targets, and proceeds until all miRs have been ranked.

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