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Comprehensive RNAi-based screening of human and mouse TLR pathways identifies species-specific preferences in signaling protein use

RNA干扰 信号转导 生物 Toll样受体 受体 细胞生物学 计算生物学 基因 先天免疫系统 遗传学 核糖核酸
作者
Jing Sun,Ning Li,Kyu-Seon Oh,Bhaskar Dutta,Sharat J. Vayttaden,Bin Lin,Thomas S. Ebert,Dominic De Nardo,Joie Davis,Rustam Bagirzadeh,Nicolas Lounsbury,Chandrashekhar Pasare,Eicke Latz,Veit Hornung,Iain D. C. Fraser
出处
期刊:Science Signaling [American Association for the Advancement of Science]
卷期号:9 (409): ra3-ra3 被引量:80
标识
DOI:10.1126/scisignal.aab2191
摘要

Toll-like receptors (TLRs) are a major class of pattern recognition receptors, which mediate the responses of innate immune cells to microbial stimuli. To systematically determine the roles of proteins in canonical TLR signaling pathways, we conducted an RNA interference (RNAi)-based screen in human and mouse macrophages. We observed a pattern of conserved signaling module dependencies across species, but found notable species-specific requirements at the level of individual proteins. Among these, we identified unexpected differences in the involvement of members of the interleukin-1 receptor-associated kinase (IRAK) family between the human and mouse TLR pathways. Whereas TLR signaling in mouse macrophages depended primarily on IRAK4 and IRAK2, with little or no role for IRAK1, TLR signaling and proinflammatory cytokine production in human macrophages depended on IRAK1, with knockdown of IRAK4 or IRAK2 having less of an effect. Consistent with species-specific roles for these kinases, IRAK4 orthologs failed to rescue signaling in IRAK4-deficient macrophages from the other species, and only mouse macrophages required the kinase activity of IRAK4 to mediate TLR responses. The identification of a critical role for IRAK1 in TLR signaling in humans could potentially explain the association of IRAK1 with several autoimmune diseases. Furthermore, this study demonstrated how systematic screening can be used to identify important characteristics of innate immune responses across species, which could optimize therapeutic targeting to manipulate human TLR-dependent outputs.
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