2020
DOI: 10.1016/j.celrep.2020.108545
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CDK8 Fine-Tunes IL-6 Transcriptional Activities by Limiting STAT3 Resident Time at the Gene Loci

Abstract: Highlights d CDK8 regulates IL-6-mediated STAT3 S727 phosphorylation in primary human T cells d CDK8 controls STAT3 activity by limiting its resident time at gene loci d CDK8 inhibition increases IL-6-mediated Th17 differentiation

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Cited by 28 publications
(25 citation statements)
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References 87 publications
(123 reference statements)
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“…Surprisingly, this inhibitor does not have any effect on mitochondrial transcription. It is known from literature that other kinases, such as CDK8 ( Martinez-Fabregas et al, 2020 ), TBK-1 ( Balic et al, 2020 ) and FAK cells ( Visavadiya et al, 2016 ) are able to target S727. Therefore, it is likely that PD98059 is indeed targeting S727 through MEKs other than MEK1,2 or that, at least in zebrafish, its specificity is broader than expected.…”
Section: Discussionmentioning
confidence: 99%
“…Surprisingly, this inhibitor does not have any effect on mitochondrial transcription. It is known from literature that other kinases, such as CDK8 ( Martinez-Fabregas et al, 2020 ), TBK-1 ( Balic et al, 2020 ) and FAK cells ( Visavadiya et al, 2016 ) are able to target S727. Therefore, it is likely that PD98059 is indeed targeting S727 through MEKs other than MEK1,2 or that, at least in zebrafish, its specificity is broader than expected.…”
Section: Discussionmentioning
confidence: 99%
“…As an example, kinetics of STAT activation might not only determine nuclear shuttling rates but as a direct consequence could alter on-off rates on STAT-responsive promoters and therefore regulate expression of STAT-responsive genes in a specific manner. A recent report has demonstrated that fine-tuning of STAT3 resident time at STAT-responsive genes indeed alters gene expression ( Martinez-Fabregas et al, 2020 ). The design of cytokine variants that favor particular compartment-specific receptor signaling would be an elegant way for the design of future therapeutics.…”
Section: Discussionmentioning
confidence: 99%
“…In particular, the mouse ESC dataset ( Yang et al , 2019 ) (PRIDE: PXD010621), the human glioblastoma dataset ( Recasens et al , 2021 ) (PRIDE: PXD020441) and the mouse adipocyte dataset ( Su et al , 2019 ) (PRIDE: PXD011525) are used for evaluating the stability of selected SPSs. The human ESC dataset ( Billing et al , 2019 ) (PRIDE: PXD004652), the HCT116 dataset ( Hahn et al , 2021 ) (PRIDE: PXD023703), the T-cell dataset ( Martinez-Fabregas et al , 2020 ) (PRIDE: PXD020964) and the AGS cell dataset ( Yin et al , 2020 ) (PRIDE: PXD005093) are included for independent validation of the reproducibility of the proposed framework. All other human phosphoproteomic datasets were curated from the qPhos database ( Yu et al , 2019 , http://qphos.cancerbio.info ) and its updated version ( http://qptm.omicsbio.info ).…”
Section: Methodsmentioning
confidence: 99%