{"title":"Circ_0000518 regulates miR-326/EPHB3 axis to promote colorectal cancer progression","authors":"Qiang Pang, Jiaqing Cao","doi":"10.1016/j.genrep.2024.101960","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Circular RNAs (circRNAs) have emerged as potential clinical targets in cancer therapy, since they have been shown to play a crucial role in tumor development by acting as competitive endogenous RNAs (ceRNAs) that regulate downstream mRNA expression by sequestering microRNAs (miRNAs). The present study, aimed to identify novel ceRNA networks involving circRNAs, miRNAs, and mRNAs in using a combination of Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) datasets and explore the function of circ_0000518 in the malignancy of colorectal cancer (CRC).</p></div><div><h3>Methods</h3><p>Raw data related to CRC, including circRNAs, miRNAs and mRNAs, were downloaded from GEO and TCGA databases. A circRNA/miRNA/mRNA network was established by differential analysis and multiple databases were used to predict downstream targets. The role of this network in the development of CRC was further validated by a series of cellular experiments including dual luciferase assay, migration assay and flow apoptosis assay.</p></div><div><h3>Results</h3><p>Differential expression analysis of two GEO datasets (GSE142837 and GSE126094) revealed four circRNAs, which were used to predict downstream miRNAs and mRNAs based on several databases. These predictions, combined with TCGA analysis, were used to construct a ceRNA network composed of 4 circRNAs, 9 miRNAs, and 52 mRNAs. The circ_0000518/miR-326/ephrin type-B receptor 3 (EPHB3) axis was eventually selected for functional validation in two CRC cell lines. Subsequently, it was experimentally verified that circ_0000518 was highly expressed in CRC; meanwhile, it was found that the proliferation and migration of CRC cells were significantly weakened by knocking down circ_0000518, while apoptosis of tumors was promoted.</p></div><div><h3>Conclusion</h3><p>The data demonstrated the identification of a novel circRNA/miRNA/mRNA competitive endogenous network in CRC. The regulatory role of the circ_0000518/miR-326/EPHB3 axis in this network was preliminarily validated by cellular experiments exploring CRC tissue samples and two CRC cell lines.</p></div>","PeriodicalId":12673,"journal":{"name":"Gene Reports","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Gene Reports","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2452014424000839","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Circular RNAs (circRNAs) have emerged as potential clinical targets in cancer therapy, since they have been shown to play a crucial role in tumor development by acting as competitive endogenous RNAs (ceRNAs) that regulate downstream mRNA expression by sequestering microRNAs (miRNAs). The present study, aimed to identify novel ceRNA networks involving circRNAs, miRNAs, and mRNAs in using a combination of Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) datasets and explore the function of circ_0000518 in the malignancy of colorectal cancer (CRC).
Methods
Raw data related to CRC, including circRNAs, miRNAs and mRNAs, were downloaded from GEO and TCGA databases. A circRNA/miRNA/mRNA network was established by differential analysis and multiple databases were used to predict downstream targets. The role of this network in the development of CRC was further validated by a series of cellular experiments including dual luciferase assay, migration assay and flow apoptosis assay.
Results
Differential expression analysis of two GEO datasets (GSE142837 and GSE126094) revealed four circRNAs, which were used to predict downstream miRNAs and mRNAs based on several databases. These predictions, combined with TCGA analysis, were used to construct a ceRNA network composed of 4 circRNAs, 9 miRNAs, and 52 mRNAs. The circ_0000518/miR-326/ephrin type-B receptor 3 (EPHB3) axis was eventually selected for functional validation in two CRC cell lines. Subsequently, it was experimentally verified that circ_0000518 was highly expressed in CRC; meanwhile, it was found that the proliferation and migration of CRC cells were significantly weakened by knocking down circ_0000518, while apoptosis of tumors was promoted.
Conclusion
The data demonstrated the identification of a novel circRNA/miRNA/mRNA competitive endogenous network in CRC. The regulatory role of the circ_0000518/miR-326/EPHB3 axis in this network was preliminarily validated by cellular experiments exploring CRC tissue samples and two CRC cell lines.
Gene ReportsBiochemistry, Genetics and Molecular Biology-Genetics
CiteScore
3.30
自引率
7.70%
发文量
246
审稿时长
49 days
期刊介绍:
Gene Reports publishes papers that focus on the regulation, expression, function and evolution of genes in all biological contexts, including all prokaryotic and eukaryotic organisms, as well as viruses. Gene Reports strives to be a very diverse journal and topics in all fields will be considered for publication. Although not limited to the following, some general topics include: DNA Organization, Replication & Evolution -Focus on genomic DNA (chromosomal organization, comparative genomics, DNA replication, DNA repair, mobile DNA, mitochondrial DNA, chloroplast DNA). Expression & Function - Focus on functional RNAs (microRNAs, tRNAs, rRNAs, mRNA splicing, alternative polyadenylation) Regulation - Focus on processes that mediate gene-read out (epigenetics, chromatin, histone code, transcription, translation, protein degradation). Cell Signaling - Focus on mechanisms that control information flow into the nucleus to control gene expression (kinase and phosphatase pathways controlled by extra-cellular ligands, Wnt, Notch, TGFbeta/BMPs, FGFs, IGFs etc.) Profiling of gene expression and genetic variation - Focus on high throughput approaches (e.g., DeepSeq, ChIP-Seq, Affymetrix microarrays, proteomics) that define gene regulatory circuitry, molecular pathways and protein/protein networks. Genetics - Focus on development in model organisms (e.g., mouse, frog, fruit fly, worm), human genetic variation, population genetics, as well as agricultural and veterinary genetics. Molecular Pathology & Regenerative Medicine - Focus on the deregulation of molecular processes in human diseases and mechanisms supporting regeneration of tissues through pluripotent or multipotent stem cells.