p(MGI:"signal transducer and activator of transcription 3")
Since p65 subunit of NF-κB and STAT3 were previously implicated in cytokine-induced expression of YKL-40 (8, 34), we knocked down their expression in human astrocytes PubMed:25681350
NF-κB and STAT3 are the major transcription factors activated by IL-1 and OSM, respectively PubMed:25681350
OSM and IL-1 efficiently regulated YKL-40 expression via STAT3 (Fig. 3A) and OSM promoted the recruitment of IL-1-induced p50 to the YKL-40 promoter (Fig. 5B). PubMed:25681350
NF-κB and STAT3 are the major transcription factors activated by IL-1 and OSM, respectively PubMed:25681350
OSM and IL-1 efficiently regulated YKL-40 expression via STAT3 (Fig. 3A) and OSM promoted the recruitment of IL-1-induced p50 to the YKL-40 promoter (Fig. 5B). PubMed:25681350
These data suggest that in addition to STAT3 activation, OSM enhances YKL-40 expression by promoting formation of the RelB/p50 complexes, which bind to the YKL-40 promoter PubMed:25681350
Since p65 subunit of NF-κB and STAT3 were previously implicated in cytokine-induced expression of YKL-40 (8, 34), we knocked down their expression in human astrocytes PubMed:25681350
OSM and IL-1 efficiently regulated YKL-40 expression via STAT3 (Fig. 3A) and OSM promoted the recruitment of IL-1-induced p50 to the YKL-40 promoter (Fig. 5B). PubMed:25681350
Downregulation of STAT3 (Fig. 3C) dramatically diminished IL-1/OSM-induced YKL-40 mRNA expression (Fig. 3A). PubMed:25681350
Constitutively active STAT3 enhanced, whereas dominant-negative IκBα diminished cytokine-responsiveness. PubMed:25681350
Constitutively active STAT3 enhanced, whereas dominant-negative IκBα diminished cytokine-responsiveness. PubMed:25681350
BEL Commons is developed and maintained in an academic capacity by Charles Tapley Hoyt and Daniel Domingo-Fernández at the Fraunhofer SCAI Department of Bioinformatics with support from the IMI project, AETIONOMY. It is built on top of PyBEL, an open source project. Please feel free to contact us here to give us feedback or report any issues. Also, see our Publishing Notes and Data Protection information.
If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.