Dysregulated circRNAs in plasma from active tuberculosis patients

Endogenous circular RNAs (circRNAs) have been reported in various diseases. However, their role in active TB remains unknown. The study was aimed to determine plasma circRNA expression profile to characterize potential biomarker and improve our understanding of active TB pathogenesis. CircRNA expression profiles were screened by circRNA microarrays in active TB plasma samples. Dysregulated circRNAs were then verified by qRT‐PCR. CircRNA targets were predicted based on analysis of circRNA‐miRNA‐mRNA interaction. GO and KEGG pathway analyses were used to predict the function of circRNA. ROC curve was calculated to evaluate diagnostic value for active TB. A total of 75 circRNAs were significantly dysregulated in active TB plasma. By further validation, hsa_circRNA_103571 exhibited significant decrease in active TB patients and showed potential interaction with active TB‐related miRNAs such as miR‐29a and miR‐16. Bioinformatics analysis revealed that hsa_circRNA_103571 was primarily involved in ras signalling pathway, regulation of actin cytoskeleton, T‐ and B‐cell receptor signalling pathway. ROC curve analysis suggested that hsa_circRNA_103571 had significant value for active TB diagnosis. Circulating circRNA dysregulation may play a role in active TB pathogenesis. Hsa_circRNA_103571 may be served as a potential biomarker for active TB diagnosis, and hsa_circRNA_103571‐miRNA‐mRNA interaction may provide some novel mechanism for active TB.     

Has_circ_0055625 from circRNA profile increases colon cancer cell growth by sponging miR-106b-5p

Circular RNAs (circRNA) are endogenous noncoding RNAs and play important roles in cancer; however, the roles of circRNAs in colon cancer are far from clear. The circRNA expression profile in colon cancer tissues was analyzed by microarray. The data from microarray showed that there were 198 upregulated and 136 downregulated circRNAs in colon cancer tissues. Among the top 10 upregulated circRNAs, hsa_circ_0055625 (circ_0055625) was confirmed to be significantly upregulated in colon cancer tissues. Further analysis demonstrated that circ_0055625 might get involved in the pathogenesis of colon cancer by functioning as miRNA sponges and performed bioinformatics analysis of the predicted circ_0055625/miR-106b-5p (miR-106b)/ITGB8 network. Moreover, we found that circ_0055625 expression was associated with pathological TNM stage and metastasis. These data indicated that circ_0055625/miR-106b/ITGB8 played a role in promoting tumor growth and metastasis, which suggested that circ_0055625 was a potential biomarker of colon cancer.     

Cigarette smoke extract alters genome‐wide profiles of circular RNAs and mRNAs in primary human small airway epithelial cells

As a novel kind of non‐coding RNA, circular RNAs (circRNAs) were involved in various biological processes. However, the role of circRNAs in the developmental process of chronic obstructive pulmonary disease (COPD) is still unclear. In the present study, by using a cell model of COPD in primary human small airway epithelial cells (HSAECs) treated with or without cigarette smoke extract (CSE), we uncovered 4,379 previously unknown circRNAs in human cells and 903 smoke‐specific circRNAs, with the help of RNA‐sequencing and bioinformatic analysis. Moreover, 3,872 up‐ and 4,425 down‐regulated mRNAs were also identified under CSE stimulation. Furthermore, a putative circRNA‐microRNA‐mRNA network was constructed for in‐depth mechanism exploration, which indicated that differentially expressed circRNAs could influence expression of some key genes that participate in response to pentose phosphate pathway, ATP‐binding cassette (ABC) transporters, glycosaminoglycan biosynthesis pathway and cancer‐related pathways. Our research indicated that cigarette smoke had an influence on the biogenesis of circRNAs and mRNAs. CircRNAs might be involved in the response to CSE in COPD through the circRNA‐mediated ceRNA networks.     

意大利蜜蜂工蜂中肠的环状RNA及其调控网络分析

【目的】环状RNA(circRNA)在可变剪接、转录调控和来源基因的表达调控等方面具有重要功能。本研究旨在分析意大利蜜蜂Apis mellifera ligustica工蜂中肠circRNA的数量、种类、结构特征和作用,并通过构建和分析circRNA的调控网络探索circRNA的调控功能。【方法】在实验室条件下人工饲养意大利蜜蜂工蜂,利用circRNA-seq技术对意大利蜜蜂7和10日龄成年工蜂中肠样品进行深度测序。利用find_circ软件从质控后的数据中预测circRNA。通过BLAST比对GO和KEGG数据库,对circRNA的来源基因进行功能和代谢通路注释。利用TargetFinder软件预测circRNA靶向结合的miRNA及miRNA靶向结合的mRNA,通过Cytoscape v.3.2.1软件对circRNA-miRNA和circRNA-miRNA-mRNA调控网络进行构建及可视化。通过设计背靠背引物和线性扩增引物RT-PCR对预测出的circRNA进行验证。【结果】意大利蜜蜂工蜂中肠样品的测序平均得到136 463 071条clean reads,去除rRNA后各样品的anchor reads均在136 779 122条及以上。共预测出10 833个circRNA,长度主要介于15~1 000 nt;上述circRNA的类型丰富,其中已注释的外显子circRNA数量最多,分布在西方蜜蜂1号染色体的circRNA数量最多,其次为8号染色体。CircRNA的来源基因可注释到包括结合、细胞进程和细胞在内的45个GO条目,以及包括内吞作用、内质网蛋白加工及核糖体在内的121条KEGG代谢通路,表明circRNA在意大利蜜蜂工蜂中肠的生长、发育、新陈代谢和细胞生命活动等生物学过程中发挥重要作用。进一步构建circRNA-miRNA和circRNA-miRNA-mRNA调控网络,分析结果显示部分circRNA可能作为竞争性内源RNA吸附结合microRNA,从而调控基因的表达水平。最后,对随机选择的3个circRNA的RT-PCR结果验证了其真实存在。【结论】本研究对意大利蜜蜂工蜂中肠中的circRNA进行预测、分析及鉴定。研究结果提供了中肠circRNA的数量、种类、结构特征、作用和调控网络的信息,揭示了circRNA可能通过作用于来源基因和作为竞争性内源RNA在意大利蜜蜂工蜂中肠的生长发育和免疫防御中发挥作用,为深入研究circRNA在意大利蜜蜂中肠发育及胁迫响应过程中的功能奠定了基础。     

Screening and functional prediction of differentially expressed circRNAs in proliferative human aortic smooth muscle cells

Vascular smooth muscle cell (VSMC) proliferation is the pathological base of vascular remodelling diseases. Circular RNAs (circRNAs) are important regulators involved in various biological processes. However, the function of circRNAs in VSMC proliferation regulation remains largely unknown. This study was conducted to identify the key differentially expressed circRNAs (DEcircRNAs) and predict their functions in human aortic smooth muscle cell (HASMC) proliferation. To achieve this, DEcircRNAs between proliferative and quiescent HASMCs were detected using a microarray, followed by quantitative real‐time RT‐PCR validation. A DEcircRNA‐miRNA‐DEmRNA network was constructed, and functional annotation was performed using Gene Ontology (GO) and KEGG pathway analysis. The function of hsa_circ_0002579 in HASMC proliferation was analysed by Western blot. The functional annotation of the DEcircRNA‐miRNA‐DEmRNA network indicated that the four DEcircRNAs might play roles in the TGF‐β receptor signalling pathway, Ras signalling pathway, AMPK signalling pathway and Wnt signalling pathway. Twenty‐seven DEcircRNAs with coding potential were screened. Hsa_circ_0002579 might be a pro‐proliferation factor of HASMC. Overall, our study identified the key DEcircRNAs between proliferative and quiescent HASMCs, which might provide new important clues for exploring the functions of circRNAs in vascular remodelling diseases.     

Identification of potential proteins translated from circular RNA splice variants

Circular RNAs (circRNAs) are covalently closed RNA molecules generated from precursor RNAs by the head-to-tail backsplicing of exons. Hundreds of studies demonstrated that circRNAs are ubiquitously expressed and regulate cellular events by modulating microRNA (miRNA) and RNA-binding protein (RBP) activities. A few circRNAs are also known to translate into functional polypeptides regulating cellular physiology. All these functions primarily depend on the full-length sequence of the circRNAs. CircRNA backsplice junction sequence is the key to identifying circRNAs and their full-length mature sequence. However, some multi-exonic circRNAs exist in different isoforms sharing identical backsplice junction sequences and are termed circRNA splice variants. Here, we analyzed the previously published HeLa cell RNA-seq datasets to identify circRNA splice variants using the de novo module of the CIRCexplorer2 circRNA annotation pipeline. A subset of circRNAs with splice variants was validated by the circRNA-rolling circle amplification (circRNA-RCA) method. Interestingly, several validated circRNAs were predicted to translate into proteins by the riboCIRC database. Furthermore, polyribosome fractionation followed by quantitative PCR confirmed the association of a subset of circRNAs with polyribosome supporting their protein-coding potential. Finally, bioinformatics analysis of proteins derived from splice variants of circCORO1C and circASPH suggested altered protein sequences and structures that could affect their physiological functions. Together, our study identified novel circRNA splice variants and their potential translation into protein isoforms which may regulate various physiological processes.     

Effect of up‐regulation of circMATR3 on the proliferation,metastasis, progression and survival of hypopharyngeal carcinoma

Increasing number of circular RNAs (circRNAs) have been reported to play important role in gene regulation, carcinogenesis and pathogenesis in various cancers. However, the biological functions and underlying molecular mechanisms of circRNAs in hypopharyngeal squamous cell carcinoma (HSCC) remain elusive. Thus, secondary circRNA‐seq profiling was performed to identify the differentially expressed circRNAs between HSCC tissues and adjacent normal tissues, and the expression level of circMATR3 (derived from human gene matrin3 (MATR3), has_circRNA_0008922) was confirmed by qRT‐PCR. Proliferation of HSCC cells was detected by cell counting kit‐8 (CCK8) assay, apoptosis and the cell cycle were analysed by flow cytometry, and the migration and invasion of HSCC cells was determined by transwell assay. Bioinformatics analysis was conducted to predict possible pathways and potential miRNA targets of circMATR3. We found that circMATR3 was up‐regulated in HSCC tissues, and abundant circMATR3 expression was markedly correlated with late T classification, advanced clinical stage, greater lymph node metastasis, and poor prognosis. Furthermore, knock‐down of circMATR3 significantly inhibited proliferation, migration and invasion of HSCC cells, whereas silencing of circMATR3 induced cell apoptosis. Our analysis predicted that circMATR3 may participate in cancer‐related pathways by serving as miRNA sponges. In conclusion, our findings first identified the oncogenic roles of circMATR3 in promoting the progression of HSCC and demonstrated that circMATR3 may be a novel prognostic marker and therapeutic target for HSCC.