2009
DOI: 10.1161/circresaha.109.197491
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Interleukin-6 Modulates the Expression of the Bone Morphogenic Protein Receptor Type II Through a Novel STAT3–microRNA Cluster 17/92 Pathway

Abstract: Abstract-Dysregulated expression of bone morphogenetic protein receptor type II (BMPR2) is a pathogenetic hallmark of pulmonary hypertension. Downregulation of BMPR2 protein but not mRNA has been observed in multiple animal models mimicking the disease, indicating a posttranscriptional mechanism of regulation. Because microRNAs (miRNAs) regulate gene expression mainly through inhibition of target gene translation, we hypothesized that miRNAs may play a role in the modulation of BMPR2. Performing a computationa… Show more

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Cited by 368 publications
(341 citation statements)
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References 41 publications
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“…Not only was the miR-130/301 family identified as the top-ranked miRNA family, but also such network analyses outlined a model of downstream actions of these miRNAs to include two known proliferative pathways, a pathway influencing vasoconstriction, and a novel signaling mechanism controlling extracellular matrix deposition and remodeling. These findings were verified in vivo and in vitro (15,19,20,24,31), thus demonstrating the power of combining computational bioinformatics with experimental biology and affording distinct advantages as compared with traditional scientific approaches. Network gene analyses may be applied to the current challenges of understanding the collective actions of PH-specific miRNAs on overall disease manifestation rather than merely focusing on single actions of an miRNA in isolation.…”
Section: Angiogenesis and Micrornas In Ph And Extrapulmonary Sitesmentioning
confidence: 65%
See 1 more Smart Citation
“…Not only was the miR-130/301 family identified as the top-ranked miRNA family, but also such network analyses outlined a model of downstream actions of these miRNAs to include two known proliferative pathways, a pathway influencing vasoconstriction, and a novel signaling mechanism controlling extracellular matrix deposition and remodeling. These findings were verified in vivo and in vitro (15,19,20,24,31), thus demonstrating the power of combining computational bioinformatics with experimental biology and affording distinct advantages as compared with traditional scientific approaches. Network gene analyses may be applied to the current challenges of understanding the collective actions of PH-specific miRNAs on overall disease manifestation rather than merely focusing on single actions of an miRNA in isolation.…”
Section: Angiogenesis and Micrornas In Ph And Extrapulmonary Sitesmentioning
confidence: 65%
“…For instance, the polycistronic miR-17-92 cluster was found to be down-regulated in vascular cells from patients with PAH. Overexpression of this miRNA cluster resulted in direct transcript binding of miR-17-5p and miR-20a (24) and consequent expression of BMPR2. Correspondingly, in vivo inhibition of several members of the cluster, using oligonucleotide inhibitors (i.e., antagomiRs) or targeted genetic deletion of the entire cluster, was shown to improve experimental PH (25)(26)(27).…”
Section: Metabolism and Proliferationmentioning
confidence: 99%
“…The mRNA levels, however, remained almost unchanged suggesting a miRNA-mediated inhibition of the translational process of the targeted transcript. Such a mechanistic interplay is frequently observed in the context of miRNA mediated gene regulation in human disease including pulmonary disorders [22]. Of note, when miR-223 was silenced using miRNA-inhibitors only minor effects could be observed on the expression levels of HDAC2.…”
Section: Discussionmentioning
confidence: 85%
“…For example, STAT3 upregulates MIR17HG (miR-17-92 cluster host gene [non-protein coding]) through a highly conserved STAT3 binding site in the promoter region, 52 and members of the MIR17HG cluster have been reported to target the autophagy-related genes ULK1, BECN1, and BCL2L11. [53][54][55] Several miRNAs that have been transcriptionally modulated by STAT3 and have been reported to target autophagy pathways are summarized in Table 2.…”
Section: Stat3 In Autophagymentioning
confidence: 99%