Differential expression of circular RNAs in plasma exosomes from patients with ankylosing spondylitis

Author(s):  
Lele Zhang ◽  
Liyan Qu ◽  
Yurong Zhang ◽  
Zhijiang Xu ◽  
Huqiang Tang
2017 ◽  
Vol 74 (1) ◽  
pp. 25-33 ◽  
Author(s):  
Zhiqiang Ye ◽  
Xuhui Liu ◽  
Yuewu Yang ◽  
Xianling Zhang ◽  
Ting Yu ◽  
...  

Epigenomics ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 1129-1141 ◽  
Author(s):  
Li Zhang ◽  
Bo Han ◽  
Jing Wang ◽  
Qingqing Liu ◽  
Yaru Kong ◽  
...  

Aim: To assess differential expression profiles of circular RNAs (circRNAs) and explore their possible functions in children with fulminant myocarditis. Materials & methods: circRNA microarray experiments were carried out for determining differential expression profiles of circRNAs in three children with fulminant myocarditis and three healthy volunteers. Functional analysis and circRNA–miRNA–mRNA interaction network building were conducted to study biological functions. Results: This work identified 2281 upregulated and 892 downregulated circRNAs. Further assessment confirmed hsa_circ_0071542 upregulation (2.5-fold) in fulminant myocarditis. Functional analysis demonstrated the differentially expressed circRNAs mainly contributed to inflammation and immunity. Conclusion: circRNAs might have substantial roles in pediatric fulminant myocarditis, and hsa_circ_0071542 could serve as a promising biomarker.


2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Jianqiang Kou ◽  
Guoming Liu ◽  
Xiangyun Liu ◽  
Tianmi Li ◽  
Ying Wei ◽  
...  

Recent studies have reported that circular RNAs (circRNAs) play a crucial regulatory role in a variety of human diseases. However, the roles of circRNAs in ankylosing spondylitis (AS) remain unclear. In this study, we conducted circRNA expression profiling of the spinal ligament tissues of patients with AS by RNA sequencing (RNA-seq) and analyzed the potential functions of differentially expressed circRNA by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses to investigate the potential mechanisms associated with AS. The results showed that a total of 1,172 circRNAs were detected in the spinal ligament tissue samples, of which 123 circRNAs were significantly differentially expressed by a fold change≥1.5 and p value < 0.05. Among these, 57 circRNAs were upregulated, and 66 were downregulated. GO and KEGG analyses demonstrated that the differentially expressed circRNAs were mainly involved in the regulation of biological processes of peptidyl-serine phosphorylation and human immune system that may be related to AS. In addition, the circRNA/miRNA interaction networks were established to predict the potential roles of differentially expressed circRNAs by bioinformatics analysis. Taken together, these results revealed the expression profiles of circRNAs and the potential functions of the differentially expressed circRNAs in the spinal ligament tissue of patients with AS, which may provide new clues for understanding the mechanisms associated with AS, and proceed to identify novel potential molecular targets for the diagnoses and treatment of AS.


2020 ◽  
Vol 57 (5) ◽  
pp. 2301-2313 ◽  
Author(s):  
Silvia Gasparini ◽  
Giorgia Del Vecchio ◽  
Silvia Gioiosa ◽  
Tiziano Flati ◽  
Tiziana Castrignano ◽  
...  

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Jinyang Zhang ◽  
Shuai Chen ◽  
Jingwen Yang ◽  
Fangqing Zhao

AbstractDetection and quantification of circular RNAs (circRNAs) face several significant challenges, including high false discovery rate, uneven rRNA depletion and RNase R treatment efficiency, and underestimation of back-spliced junction reads. Here, we propose a novel algorithm, CIRIquant, for accurate circRNA quantification and differential expression analysis. By constructing pseudo-circular reference for re-alignment of RNA-seq reads and employing sophisticated statistical models to correct RNase R treatment biases, CIRIquant can provide more accurate expression values for circRNAs with significantly reduced false discovery rate. We further develop a one-stop differential expression analysis pipeline implementing two independent measures, which helps unveil the regulation of competitive splicing between circRNAs and their linear counterparts. We apply CIRIquant to RNA-seq datasets of hepatocellular carcinoma, and characterize two important groups of linear-circular switching and circular transcript usage switching events, which demonstrate the promising ability to explore extensive transcriptomic changes in liver tumorigenesis.


2019 ◽  
Vol 15 (3) ◽  
pp. 738-753 ◽  
Author(s):  
Hualin Ma ◽  
Ying Xu ◽  
Rongrong Zhang ◽  
Baochun Guo ◽  
Shuyan Zhang ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document