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NFκB 活性计算器解析信号串扰:I 型和 II 型干扰素通过不同机制增强 NFκB。

An NFκB Activity Calculator to Delineate Signaling Crosstalk: Type I and II Interferons Enhance NFκB via Distinct Mechanisms.

机构信息

Signaling Systems Laboratory, Institute for Quantitative and Computational Biosciences, Department of Microbiology, Immunology, and Molecular Genetics, and Molecular Biology Institute, University of California Los Angeles, Los Angeles, CA, United States.

Signaling Systems Laboratory, San Diego Center for Systems Biology, La Jolla, CA, United States.

出版信息

Front Immunol. 2019 Jun 25;10:1425. doi: 10.3389/fimmu.2019.01425. eCollection 2019.

Abstract

Nuclear factor kappa B (NFκB) is a transcription factor that controls inflammation and cell survival. In clinical histology, elevated NFκB activity is a hallmark of poor prognosis in inflammatory disease and cancer, and may be the result of a combination of diverse micro-environmental constituents. While previous quantitative studies of NFκB focused on its signaling dynamics in single cells, we address here how multiple stimuli may combine to control tissue level NFκB activity. We present a novel, simplified model of NFκB (SiMoN) that functions as an NFκB activity calculator. We demonstrate its utility by exploring how type I and type II interferons modulate NFκB activity in macrophages. Whereas, type I IFNs potentiate NFκB activity by inhibiting translation of IκBα and by elevating viral RNA sensor (RIG-I) expression, type II IFN amplifies NFκB activity by increasing the degradation of free IκB through transcriptional induction of proteasomal cap components (PA28). Both cross-regulatory mechanisms amplify NFκB activation in response to weaker (viral) inducers, while responses to stronger (bacterial or cytokine) inducers remain largely unaffected. Our work demonstrates how the NFκB calculator can reveal distinct mechanisms of crosstalk on NFκB activity in interferon-containing microenvironments.

摘要

核因子 kappa B(NFκB)是一种转录因子,可控制炎症和细胞存活。在临床组织学中,NFκB 活性升高是炎症性疾病和癌症预后不良的标志,可能是多种微环境成分共同作用的结果。虽然之前对 NFκB 的定量研究集中在其单个细胞中的信号转导动力学,但我们在这里探讨了多种刺激物如何组合来控制组织水平的 NFκB 活性。我们提出了一种新颖的、简化的 NFκB 模型(SiMoN),它可作为 NFκB 活性计算器。我们通过探索 I 型和 II 型干扰素如何调节巨噬细胞中的 NFκB 活性来证明其效用。I 型 IFNs 通过抑制 IκBα 的翻译和提高病毒 RNA 传感器(RIG-I)的表达来增强 NFκB 活性,而 II 型 IFN 通过转录诱导蛋白酶体帽成分(PA28)增加游离 IκB 的降解来放大 NFκB 活性。这两种交叉调节机制都能增强 NFκB 对较弱(病毒)诱导物的激活,而对较强(细菌或细胞因子)诱导物的反应基本不受影响。我们的工作表明,NFκB 计算器如何揭示干扰素微环境中 NFκB 活性的交叉对话的不同机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d64/6604663/0c5196f7f7ee/fimmu-10-01425-g0001.jpg

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