Identification and Characterization of Hypoxia-Regulated Endothelial Circular RNA

Rationale: Circular RNAs (circRNAs) are noncoding RNAs generated by back splicing. Back splicing has been considered a rare event, but recent studies suggest that circRNAs are widely expressed. However, the expression, regulation, and function of circRNAs in vascular cells is still unknown. Objective: Here, we characterize the expression, regulation, and function of circRNAs in endothelial cells. Methods and Results: Endothelial circRNAs were identified by computational analysis of ribo-minus RNA generated from human umbilical venous endothelial cells cultured under normoxic or hypoxic conditions. Selected circRNAs were biochemically characterized, and we found that the majority of them lacks polyadenylation, is resistant to RNase R digestion and localized to the cytoplasm. We further validated the hypoxia-induced circRNAs cZNF292, cAFF1, and cDENND4C, as well as the downregulated cTHSD1 by reverse transcription polymerase chain reaction in cultured endothelial cells. Cloning of cZNF292 validated the predicted back splicing of exon 4 to a new alternative exon 1A. Silencing of cZNF292 inhibited cZNF292 expression and reduced tube formation and spheroid sprouting of endothelial cells in vitro. The expression of pre-mRNA or mRNA of the host gene was not affected by silencing of cZNF292. No validated microRNA-binding sites for cZNF292 were detected in Argonaute high-throughput sequencing of RNA isolated by cross-linking and immunoprecipitation data sets, suggesting that cZNF292 does not act as a microRNA sponge. Conclusions: We show that the majority of the selected endothelial circRNAs fulfill all criteria of bona fide circRNAs. The circRNA cZNF292 exhibits proangiogenic activities in vitro. These data suggest that endothelial circRNAs are regulated by hypoxia and have biological functions

A combined computational pipeline to detect circular RNAs in human cancer cells under hypoxic stress

Hypoxia is associated with several diseases, including cancer. Cells that are deprived of adequate oxygen supply trigger transcriptional and post-transcriptional responses, which control cellular pathways such as angiogenesis, proliferation, and metabolic adaptation. Circular RNAs (circRNAs) are a novel class of mainly non-coding RNAs, which have been implicated in multiple cancers and attract increasing attention as potential biomarkers. Here, we characterize the circRNA signatures of three different cancer cell lines from cervical (HeLa), breast (MCF-7), and lung (A549) cancer under hypoxia. In order to reliably detect circRNAs, we integrate available tools with custom approaches for quantification and statistical analysis. Using this consolidated computational pipeline, we identify ~12000 circRNAs in the three cancer cell lines. Their molecular characteristics point to an involvement of complementary RNA sequences as well as trans-acting factors in circRNA biogenesis, such as the RNA-binding protein HNRNPC. Notably, we detect a number of circRNAs that are more abundant than their linear counterparts. In addition, 64 circRNAs significantly change in abundance upon hypoxia, in most cases in a cell type-specific manner. In summary, we present a comparative circRNA profiling in human cancer cell lines, which promises novel insights into the biogenesis and function of circRNAs under hypoxic stress

Deep Characterization of Circular RNAs from Human Cardiovascular Cell Models and Cardiac Tissue

For decades, cardiovascular disease (CVD) has been the leading cause of death throughout most developed countries. Several studies relate RNA splicing, and more recently also circular RNAs (circRNAs), to CVD. CircRNAs originate from linear transcripts and have been shown to exhibit tissue-specific expression profiles. Here, we present an in-depth analysis of sequence, structure, modification, and cardiac circRNA interactions. We used human induced pluripotent stem cell-derived cardiac myocytes (hiPSC-CMs), human healthy and diseased (ischemic cardiomyopathy, dilated cardiomyopathy) cardiac tissue, and human umbilical vein endothelial cells (HUVECs) to profile circRNAs. We identified shared circRNAs across all samples, as well as model-specific circRNA signatures. Based on these circRNAs, we identified 63 positionally conserved and expressed circRNAs in human, pig, and mouse hearts. Furthermore, we found that the sequence of circRNAs can deviate from the sequence derived from the genome sequence, an important factor in assessing potential functions. Integration of additional data yielded evidence for m6A-methylation of circRNAs, potentially linked to translation, as well as, circRNAs overlapping with potential Argonaute 2 binding sites, indicating potential association with the RISC complex. Moreover, we describe, for the first time in cardiac model systems, a sub class of circRNAs containing the start codon of their primary transcript (AUG circRNAs) and observe an enrichment for m6A-methylation for AUG circRNAs

Deep Characterization of Circular RNAs from Human Cardiovascular Cell Models and Cardiac Tissue

For decades, cardiovascular disease (CVD) has been the leading cause of death throughout most developed countries. Several studies relate RNA splicing, and more recently also circular RNAs (circRNAs), to CVD. CircRNAs originate from linear transcripts and have been shown to exhibit tissue-specific expression profiles. Here, we present an in-depth analysis of sequence, structure, modification, and cardiac circRNA interactions. We used human induced pluripotent stem cell-derived cardiac myocytes (hiPSC-CMs), human healthy and diseased (ischemic cardiomyopathy, dilated cardiomyopathy) cardiac tissue, and human umbilical vein endothelial cells (HUVECs) to profile circRNAs. We identified shared circRNAs across all samples, as well as model-specific circRNA signatures. Based on these circRNAs, we identified 63 positionally conserved and expressed circRNAs in human, pig, and mouse hearts. Furthermore, we found that the sequence of circRNAs can deviate from the sequence derived from the genome sequence, an important factor in assessing potential functions. Integration of additional data yielded evidence for m6A-methylation of circRNAs, potentially linked to translation, as well as, circRNAs overlapping with potential Argonaute 2 binding sites, indicating potential association with the RISC complex. Moreover, we describe, for the first time in cardiac model systems, a sub class of circRNAs containing the start codon of their primary transcript (AUG circRNAs) and observe an enrichment for m6A-methylation for AUG circRNAs

Circular RNA circPLOD2 regulates pericyte function by targeting the transcription factor KLF4

Summary: Circular RNAs are generated by backsplicing and control cellular signaling and phenotypes. Pericytes stabilize capillary structures and play important roles in the formation and maintenance of blood vessels. Here, we characterize hypoxia-regulated circular RNAs (circRNAs) in human pericytes and show that the circular RNA of procollagen-lysine,2-oxoglutarate 5-dioxygenase-2 (circPLOD2) is induced by hypoxia and regulates pericyte functions. Silencing of circPLOD2 affects pericytes and increases proliferation, migration, and secretion of soluble angiogenic proteins, thereby enhancing endothelial migration and network capability. Transcriptional and epigenomic profiling of circPLOD2-depleted cells reveals widespread changes in gene expression and identifies the transcription factor krüppel-like factor 4 (KLF4) as a key effector of the circPLOD2-mediated changes. KLF4 depletion mimics circPLOD2 silencing, whereas KLF4 overexpression reverses the effects of circPLOD2 depletion on proliferation and endothelial-pericyte interactions. Together, these data reveal an important function of circPLOD2 in controlling pericyte proliferation and capillary formation and show that the circPLOD2-mediated regulation of KLF4 significantly contributes to the transcriptional response to hypoxia

The splicing-regulatory lncRNA NTRAS sustains vascular integrity

Vascular integrity is essential for organ homeostasis to prevent edema formation and infiltration of inflammatory cells. Long non-coding RNAs (lncRNAs) are important regulators of gene expression and often expressed in a cell type-specific manner. By screening for endothelial-enriched lncRNAs, we identified the undescribed lncRNA NTRAS to control endothelial cell functions. Silencing of NTRAS induces endothelial cell dysfunction in vitro and increases vascular permeability and lethality in mice. Biochemical analysis revealed that NTRAS, through its CA-dinucleotide repeat motif, sequesters the splicing regulator hnRNPL to control alternative splicing of tight junction protein 1 (TJP1; also named zona occludens 1, ZO-1) pre-mRNA. Deletion of the hnRNPL binding motif in mice (Ntras∆CA/∆CA) significantly repressed TJP1 exon 20 usage, favoring expression of the TJP1α- isoform, which augments permeability of the endothelial monolayer. Ntras∆CA/∆CA mice further showed reduced retinal vessel growth and increased vascular permeability and myocarditis. In summary, this study demonstrates that NTRAS is an essential gatekeeper of vascular integrity

Erratum: The histone demethylase JMJD2B regulates endothelial-to-mesenchymal transition (Proceedings of the National Academy of Sciences of the United States of America (2020) 117 (4180-4187) DOI: 10.1073/pnas.1913481117)

Correction for “The histone demethylase JMJD2B regulates endothelial-to-mesenchymal transition,” by Simone F. Glaser, Andreas W. Heumüller, Lukas Tombor, Patrick Hofmann, Marion Muhly-Reinholz, Ariane Fischer, Stefan Günther, Karoline E. Kokot, David Hassel, Sandeep Kumar, Hanjoong Jo, Reinier A. Boon, Wesley Abplanalp, David John, Jes-Niels Boeckel, and Stefanie Dimmeler, which was first published February 7, 2020; 10.1073/pnas.1913481117 (Proc. Natl. Acad. Sci. U.S.A. 117, 4180-4187). The authors note that Hitoshi Okada should be added to the author list between Karoline E. Kokot and David Hassel. Hitoshi Okada should be credited with providing mice. The corrected author line, affiliation line, and author contributions appear below. The online version has been corrected