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Endothelial cell–glucocorticoid receptor interactions and regulation of Wnt signaling
Han Zhou, Sameet Mehta, Swayam Prakash Srivastava, Kariona Grabinska, Xinbo Zhang, Chris Wong, Ahmad Hedayat, Paola Perrotta, Carlos Fernández-Hernando, William C. Sessa, Julie E. Goodwin
Han Zhou, Sameet Mehta, Swayam Prakash Srivastava, Kariona Grabinska, Xinbo Zhang, Chris Wong, Ahmad Hedayat, Paola Perrotta, Carlos Fernández-Hernando, William C. Sessa, Julie E. Goodwin
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Research Article Inflammation Vascular biology

Endothelial cell–glucocorticoid receptor interactions and regulation of Wnt signaling

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Abstract

Vascular inflammation is present in many cardiovascular diseases, and exogenous glucocorticoids have traditionally been used as a therapy to suppress inflammation. However, recent data have shown that endogenous glucocorticoids, acting through the endothelial glucocorticoid receptor, act as negative regulators of inflammation. Here, we performed ChIP for the glucocorticoid receptor, followed by next-generation sequencing in mouse endothelial cells to investigate how the endothelial glucocorticoid receptor regulates vascular inflammation. We identified a role of the Wnt signaling pathway in this setting and show that loss of the endothelial glucocorticoid receptor results in upregulation of Wnt signaling both in vitro and in vivo using our validated mouse model. Furthermore, we demonstrate glucocorticoid receptor regulation of a key gene in the Wnt pathway, Frzb, via a glucocorticoid response element gleaned from our genomic data. These results suggest a role for endothelial Wnt signaling modulation in states of vascular inflammation.

Authors

Han Zhou, Sameet Mehta, Swayam Prakash Srivastava, Kariona Grabinska, Xinbo Zhang, Chris Wong, Ahmad Hedayat, Paola Perrotta, Carlos Fernández-Hernando, William C. Sessa, Julie E. Goodwin

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Figure 1

ChIP-seq results.

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ChIP-seq results.
(A) Six conditions were submitted for ChIP-seq analysi...
(A) Six conditions were submitted for ChIP-seq analysis. Control siRNA cells treated with dexamethasone (DEX) (ConDEX) showed the largest peak, reflecting binding of the glucocorticoid receptor (GR) by its ligand. A smaller peak was observed from the GR siRNA cells treated with DEX (GRDEX), as siRNA knockdown is not 100% complete. The other 4 conditions had overlapping peak profiles indicating nonspecific background. Normalized coverage per 1,000,000 reads is plotted as a function of position within 1 kB of the peak. (B) Histogram of the top 10,000 peaks in comparison with the distance from the transcriptional start site (TSS), indicating enormous enrichment very close to the TSS. (C) Binding within ± 1 kB of the transcriptional start site in each of the conditions tested. Only the control siRNA + DEX condition showed any appreciable binding, as expected. Two small clusters of genes (clusters 1 and 3) had well-defined binding areas with regard to the TSS. The vast majority (cluster 2) had no discernible pattern. (D) Pie chart of the top 10,000 peaks indicating the location of binding in the genome. (E) Characterization of the top 1000 ChIP-seq peak binding sites by location. (F) Sixty-five of 1000 peaks were found to have both the classic GRE motif (top) and a de novo motif (bottom). (G) Binding site by location of the 65 peaks with both motifs.

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ISSN 2379-3708

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