
The IkappaB kinase (IKK)-related kinases, IKKepsilon and TBK1, participate in the induction of type I interferons (IFNs) during viral infections. Deregulated activation of IKKepsilon and TBK1 also contributes to the abnormal cell survival and transformation. However, how these kinases are negatively regulated remains unclear. We show here that the tumor suppressor CYLD has an essential role in preventing aberrant activation of IKKepsilon/TBK1. CYLD deficiency causes constitutive activation of IKKepsilon/TBK1, which is associated with hyper-induction of IFNs in virus-infected cells. We further show that CYLD targets a cytoplasmic RNA sensor, RIG-I, and inhibits the ubiquitination of this IKKepsilon/TBK1 stimulator. Consistent with the requirement of ubiquitination in RIG-I function, CYLD potently inhibits RIG-I-mediated activation of the IFN-beta promoter. These findings establish CYLD as a key negative regulator of IKKepsilon/TBK1 and suggest a role for CYLD in the control of RIG-I ubiquitination.
Mice, Knockout, Cell Survival, Tumor Suppressor Proteins, Ubiquitination, Membrane Proteins, Nerve Tissue Proteins, Receptors, Cell Surface, Interferon-beta, Protein Serine-Threonine Kinases, Deubiquitinating Enzyme CYLD, I-kappa B Kinase, Enzyme Activation, Cysteine Endopeptidases, Mice, Cell Transformation, Neoplastic, Virus Diseases, Animals, Promoter Regions, Genetic
Mice, Knockout, Cell Survival, Tumor Suppressor Proteins, Ubiquitination, Membrane Proteins, Nerve Tissue Proteins, Receptors, Cell Surface, Interferon-beta, Protein Serine-Threonine Kinases, Deubiquitinating Enzyme CYLD, I-kappa B Kinase, Enzyme Activation, Cysteine Endopeptidases, Mice, Cell Transformation, Neoplastic, Virus Diseases, Animals, Promoter Regions, Genetic
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
