首页 | 本学科首页   官方微博 | 高级检索  
     


Predicting Novel Features of Toll-Like Receptor 3 Signaling in Macrophages
Authors:Mohamed Helmy  Jin Gohda  Jun-ichiro Inoue  Masaru Tomita  Masa Tsuchiya  Kumar Selvarajoo
Affiliation:1. Institute for Advanced Biosciences, Keio University, Tsuruoka, Japan.; 2. Systems Biology Program, School of Media and Governance, Keio University, Fujisawa, Japan.; 3. Division of Cellular and Molecular Biology, Institute of Medical Science, University of Tokyo, Tokyo, Japan.;New York University School of Medicine, United States of America
Abstract:The Toll-like receptor (TLR) 3 plays a critical role in mammalian innate immune response against viral attacks by recognizing double-stranded RNA (dsRNA) or its synthetic analog polyinosinic-polycytidylic acid (poly (I∶C)). This leads to the activation of MAP kinases and NF-κB which results in the induction of type I interferons and proinflammatory cytokines to combat the viral infection. To understand the complex interplay of the various intracellular signaling molecules in the regulation of NF-κB and MAP kinases, we developed a computational TLR3 model based upon perturbation-response approach. We curated literature and databases to determine the TLR3 signaling topology specifically for murine macrophages. For initial model creation, we used wildtype temporal activation profiles of MAP kinases and NF-κB and, for model testing, used TRAF6 KO and TRADD KO data. From dynamic simulations we predict i) the existence of missing intermediary steps between extracellular poly (I∶C) stimulation and intracellular TLR3 binding, and ii) the presence of a novel pathway which is essential for JNK and p38, but not NF-κB, activation. Our work shows activation dynamics of signaling molecules can be used in conjunction with perturbation-response models to decipher novel signaling features of complicated immune pathways.
Keywords:
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号