Circular RNAs (circRNAs) have played an essential role in cancer development. This study aimed to illustrate the impact and potential mechanism of circRACGAP1 action in NSCLC development. The expression patterns of circRACGAP1, miR-1296, and CDK2 in NSCLC tissues and cell lines were analysed by RT-qPCR. The function of circRACGAP1 in NSCLC cell proliferation and apoptosis was investigated using the CCK-8 assay, flow cytometry, TUNEL staining, and Western blot. The interaction among circRACGAP1, miR-1296, and CDK2 was clarified by dual-luciferase reporter assay while the correlation was confirmed by the Pearson correlation coefficient. The expression of circRACGAP1 and CDK2 was up-regulated in NSCLC tissues, while the expression of miR-1296 was down-regulated. Cell function studies further revealed that circRACGAP1 could promote NSCLC cell proliferation, accelerate the cell cycle process, up-regulate B-cell lymphoma 2 (Bcl2) expression, and down-regulate Bcl2-associated X (Bax) expression. miR-1296 was identified as a downstream target to reverse circRACGAP1-mediated cell proliferation. miR-1296 directly targeted the 3'-UTR of CDK2 to regulate proliferation and apoptosis of NSCLC cells. Additionally, the dual-luciferase reporter assay and Pearson correlation coefficient analysis proved that circRACGAP1 acted in NSCLC cells by negatively regulating miR-1296 expression and positively regulating CDK2 expression. In summary, our study revealed that circRACGAP1 promoted NSCLC cell proliferation by regulating the miR-1296/CDK2 pathway, providing potential diagnostic and therapeutic targets for NSCLC.
- MeSH
- Apoptosis * genetics MeSH
- Cyclin-Dependent Kinase 2 * metabolism genetics MeSH
- RNA, Circular * genetics metabolism MeSH
- Humans MeSH
- MicroRNAs * genetics metabolism MeSH
- Cell Line, Tumor MeSH
- Lung Neoplasms * genetics pathology metabolism MeSH
- Carcinoma, Non-Small-Cell Lung * genetics pathology metabolism MeSH
- Cell Proliferation * genetics MeSH
- GTPase-Activating Proteins genetics metabolism MeSH
- Gene Expression Regulation, Neoplastic MeSH
- Signal Transduction genetics MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
Small extracellular vesicles (sEVs) secreted by various types of cells serve as crucial mediators of intercellular communication within the complex tumour microenvironment (TME). Tumour-derived small extracellular vesicles (TDEs) are massively produced and released by tumour cells, recapitulating the specificity of their cell of origin. TDEs encapsulate a variety of RNA species, especially messenger RNAs, microRNAs, long non-coding RNAs, and circular RNAs, which release to the TME plays multifaced roles in cancer progression through mediating cell proliferation, invasion, angiogenesis, and immune evasion. sEVs act as natural delivery vehicles of RNAs and can serve as useful targets for cancer therapy. This review article provides an overview of recent studies on TDEs and their RNA cargo, with emphasis on the role of these RNAs in carcinogenesis.
- MeSH
- Extracellular Vesicles * metabolism MeSH
- RNA, Circular genetics metabolism MeSH
- Humans MeSH
- RNA, Messenger genetics metabolism MeSH
- Cell Communication MeSH
- MicroRNAs genetics metabolism MeSH
- Tumor Microenvironment * MeSH
- Neoplasms * pathology genetics metabolism MeSH
- RNA, Long Noncoding genetics MeSH
- RNA genetics metabolism MeSH
- Animals MeSH
- Check Tag
- Humans MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
- Review MeSH
Východiska: Spinocelulární karcinom dutiny ústní (oral squamous cell carcinoma – OSCC) je nejběžnějším typem zhoubných nádorů v oblasti hlavy a krku. Je známo, že cirkulární RNA (circRNA) hraje důležitou roli v karcinogenezi různých typů zhoubných nádorů. Role circRNA při OSCC však zůstává nejasná. Materiál a metody: Byly získány tkáně OSCC a přilehlé normální tkáně k detekci exprese circRNA sekvenováním nové generace (next generation sequencing – NGS) a byly vybrány tkáně OSCC k ověření circRNAs různého významu pomocí kvantitativní polymerázové řetězové reakce s reverzní transkriptázou (reverse transcriptase-quantitative polymerase chain reaction – RT-qPCR). Pro další zkoumání role hsa-circ-0006203 – hsa-circ-0004872 byl vytvořen design primeru a byla provedena RT-PCR. Hladiny exprese byly detekovány pomocí RT-qPCR. Výsledky: Výsledky NGS ukázaly, že u OSCC byly výrazně exprimovány circRNA, přičemž dvě circRNAs byly exprimovány výrazně odlišným způsobem. hsa-circ-0006203 – hsa-circ-0004872 byly ve vzorcích tkáně OSCC výrazně downregulována, což statisticky korelovalo s jejich patologickou diferenciací. Závěr: Souhrnně lze říci, že výsledky prezentované studie odhalily zvýšené množství circRNA ve tkáních OSCC a pokud je nám známo, náš tým jako první zkoumal regulační roli sítě hsa-circ-0006203 – hsa-circ-0004872 u OSCC. Výsledky ukázaly, že hsa-circ-0006203 – hsa-circ-0004872 může být případným biomarkerem OSCC.
Background: Oral squamous cell carcinoma (OSCC) is the most common cancer of the head and neck region. The circular RNA (circRNA) is known to serve an important role in the carcinogenesis of different types of cancer. However, the circRNA role of OSCC remains unclear. Material and methods: OSCC tissues and adjacent normal tissues were obtained to detect circRNAs expression by the next generation sequencing (NGS), and OSCC tissues were selected to verify the differentially significant circRNAs by reverse transcription-quantitative polymerase chain reaction (RT-qPCR). To further investigate the role of hsa-circ-0006203 – hsa-circ-0004872, the primer design and RT-PCR were performed. The expression levels were detected by RT-qPCR. Results: The NGS results demonstrated that circRNAs were abundantly expressed in OSCC, and two circRNAs were significantly differentially expressed. hsa-circ-0006203 – hsa-circ-0004872 were significantly downregulated in OSCC tissue samples and was statistically correlated with pathological differentiation. Conclusion: In summary, the results of the present study revealed that OSCC tissues have abundant circRNAs and, to the best of our knowledge, it was our team who firstly explore the regulatory role of the hsa-circ-0006203 – hsa-circ-0004872 network in OSCC. The results indicated that hsa-circ-0006203 – hsa-circ-0004872 may be a potential biomarker for OSCC.
- Keywords
- hsa-circ-0006203, hsa-circ-0004872,
- MeSH
- Clinical Studies as Topic MeSH
- RNA, Circular MeSH
- Humans MeSH
- Biomarkers, Tumor MeSH
- Mouth Neoplasms * diagnosis genetics MeSH
- Check Tag
- Humans MeSH
Osteoarthritis (OA) is a frequent musculoskeletal disorder affecting millions of people worldwide. Despite advances in understanding the pathogenesis of OA, prognostic biomarkers or effective targeted treatment are not currently available. Research on epigenetic factors has yielded some new insights as new technologies for their detection continue to emerge. In this context, non-coding RNAs, including microRNAs, long non-coding RNAs, circular RNAs, piwi-interacting RNAs, and small nucleolar RNAs, regulate intracellular signaling pathways and biological processes that have a crucial role in the development of several diseases. In this review, we present current knowledge on the role of epigenetic factors with a focus on non-coding RNAs in the development, prediction and treatment of OA. This article is categorized under: RNA in Disease and Development > RNA in Disease.
- MeSH
- RNA, Circular MeSH
- Humans MeSH
- MicroRNAs * genetics MeSH
- Osteoarthritis * genetics MeSH
- Piwi-Interacting RNA MeSH
- RNA, Long Noncoding * genetics MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Review MeSH
Mutations in the splicing factor 3b subunit 1 (SF3B1) gene are frequent in myelodysplastic neoplasms (MDS). Because the splicing process is involved in the production of circular RNAs (circRNAs), we investigated the impact of SF3B1 mutations on circRNA processing. Using RNA sequencing, we measured circRNA expression in CD34+ bone marrow MDS cells. We defined circRNAs deregulated in a heterogeneous group of MDS patients and described increased circRNA formation in higher-risk MDS. We showed that the presence of SF3B1 mutations did not affect the global production of circRNAs; however, deregulation of specific circRNAs was observed. Particularly, we demonstrated that strong upregulation of circRNAs processed from the zinc finger E-box binding homeobox 1 (ZEB1) transcription factor; this upregulation was exclusive to SF3B1-mutated patients and was not observed in those with mutations in other splicing factors or other recurrently mutated genes, or with other clinical variables. Furthermore, we focused on the most upregulated ZEB1-circRNA, hsa_circ_0000228, and, by its knockdown, we demonstrated that its expression is related to mitochondrial activity. Using microRNA analyses, we proposed miR-1248 as a direct target of hsa_circ_0000228. To conclude, we demonstrated that mutated SF3B1 leads to deregulation of ZEB1-circRNAs, potentially contributing to the defects in mitochondrial metabolism observed in SF3B1-mutated MDS.
- MeSH
- Leukemia, Myeloid, Acute * MeSH
- Phosphoproteins genetics MeSH
- RNA, Circular genetics MeSH
- Humans MeSH
- Mutation genetics MeSH
- Myelodysplastic Syndromes * genetics MeSH
- RNA Splicing Factors genetics MeSH
- Transcription Factors genetics MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
Východiska: Cílem předkládané studie je získat vhled do patogenéze karcinomu plic (lung cancer – LC) a poskytnout nové biomarkery pro LC, a to vytvořením sítě regulačních cirkulárních (circ) RNA-micro (mi) RNA-mRNA. Materiál a metody: Pomocí R programovacího jazyku Limma byla prověřena data o vysokokapacitním (high-throughput) sekvenování circRNAs, miRNAs a mRNAs souvisejících s LC, která byla vzata z databáze Gene Expression Omnibus (GEO) a data o rozdílné expresi circRNAs, miRNAs a mRNAs. K vybudování sítě ceRNA byly použity páry circRNA-miRNA a miRNA-mRNA. Funkce rozdílné exprese circRNAs byly objasněny tak, že byla provedena analýza funkčního obohacení genů pomocí databází GO a KEGG. Vybrané prognostické geny pro LC byly navíc ověřeny v tkáňových čipech a pomocí imunohistochemie (IHC). Výsledky: V LC bylo celkem identifikováno 20 downregulovaných circRNAs, 55 upregulovaných miRNAs a 243 downregulovaných mRNA. Nakonec byla vytvořena síť circRNA-miRNA-mRNA ceRNA, která se skládala ze dvou circRNAs, dvou miRNAs a dvou mRNAs. Jak vyplynulo z analýzy založené na veřejných databázích a IHC, různé geny (tj. FXYD1 a SEMA5A) v této síti fungovaly jako prognostické faktory při LC. Provedením IHC a analýzami přežití bylo potvrzeno, že exprese FXYD1 a SEMA5A při LC byla downregulována a tato exprese odrážela vztah k celkovému přežití pacientů s LC. Závěry: Tato studie představuje nové vhledy do role circRNAs při rozvoji LC skrze mechanizmus ceRNA. Identifikace genů FXYD1 a SEMA5A by mohla fungovat jako nový a nezbytný prognostický ukazatel LC.
Background: The presented study aimed to gain insights into the pathogenesis of lung cancer (LC) and provide novel biomarkers for LC by building a regulatory circular (circ) RNA-micro (mi) RNA-mRNA network. Materials and methods: High-throughput sequencing data of circRNAs, miRNAs and mRNAs related to LC originated from GEO (Gene Expression Omnibus) database, and the differential expressions of circRNAs, miRNAs and mRNAs were screened with R language Limma. The circRNA-miRNA and miRNA-mRNA pairs were used to build the ceRNA network. The functions of differential expression circRNAs were elucidated by performing the functional enrichment analysis on GO and KEGG. Furthermore, the selected LC prognostic genes were verified by tissue chips and immunohistochemistry (IHC). Results: On the whole, 20 downregulated circRNAs, 55 upregulated miRNAs and 243 downregulated mRNAs were identified in LC. Lastly, a circRNA-miRNA-mRNA ceRNA network was built, which was composed of 2 circRNAs, 2 miRNAs, and 2 mRNAs. As indicated from the analysis based on public databases and IHC, the differential genes (i.e., FXYD1 and SEMA5A) in this network acted as LC prognostic factors. As confirmed by performing IHC and survival analyses, FXYD1 and SEMA5A expressions in LC were downregulated, and their expressions displayed a relationship to the overall survival (OS) of LC cases. Conclusions: This study presents novel insights into the role of circRNAs in the development of LC via the ceRNA mechanism. The identified FXYD1 and SEMA5A gene could act as novel and vital LC prognostic indicators.
Recent research has already shown that circular RNAs (circRNAs) are functional in gene expression regulation and potentially related to diseases. Due to their stability, circRNAs can also be used as biomarkers for diagnosis. However, the function of most circRNAs remains unknown, and it is expensive and time-consuming to discover it through biological experiments. In this paper, we predict circRNA annotations from the knowledge of their interaction with miRNAs and subsequent miRNA-mRNA interactions. First, we construct an interaction network for a target circRNA and secondly spread the information from the network nodes with the known function to the root circRNA node. This idea itself is not new; our main contribution lies in proposing an efficient and exact deterministic procedure based on the principle of probability-generating functions to calculate the p-value of association test between a circRNA and an annotation term. We show that our publicly available algorithm is both more effective and efficient than the commonly used Monte-Carlo sampling approach that may suffer from difficult quantification of sampling convergence and subsequent sampling inefficiency. We experimentally demonstrate that the new approach is two orders of magnitude faster than the Monte-Carlo sampling, which makes summary annotation of large circRNA files feasible; this includes their reannotation after periodical interaction network updates, for example. We provide a summary annotation of a current circRNA database as one of our outputs. The proposed algorithm could be generalized towards other types of RNA in way that is straightforward.
Members of the family Pospiviroidae have single-stranded circular RNA genomes that adopt a rod-like or a quasi-rod-like conformation. These genomes contain a central conserved region that is involved in replication in the nucleus through an asymmetric RNA-RNA rolling-circle mechanism. Members of the family Pospiviroidae lack the hammerhead ribozymes that are typical of viroids classified in the family Avsunviroidae. The family Pospiviroidae includes the genera Apscaviroid, Cocadviroid, Coleviroid, Hostuviroid and Pospiviroid, with >25 species. This is a summary of the ICTV Report on the family Pospiviroidae, which is available at ictv.global/report/pospiviroidae.
Circular RNAs (circRNA) have gained recent interest due to their functional versatility due to their interactions with other RNA species and proteins, all of which underline complex regulatory networks involved in pathogenic mechanisms. As a result, recent insights in circRNA biology are investigating their biomarker and therapeutic potential. One such circRNA is CircFOXO3, which consists of the circularized second exon of the FOXO3 mRNA, a member of the forkhead box transcription factor family involved in the regulation of developmental programs. Recent research focused on the role of circFOXO3 in the context of cancer has highlighted several implications in key tumorigenesis mechanisms, thus consolidating its relevance among other identified circRNAs. In this paper, we will focus on the currently identified case-specific implications of circFOXO3 in cancer, with a focus on the circFOXO3-miRNA-mRNA regulatory networks, its interactions with different proteins, and their cumulated biological effects upon tumor development. Therefore, we aim to provide an integrated perspective of the mechanistic implications of circFOXO3 in different cancers while also highlighting its biomarker or therapeutic potential based on the current evidence.
- MeSH
- Gene Regulatory Networks * MeSH
- RNA, Circular genetics MeSH
- Humans MeSH
- RNA, Messenger genetics metabolism MeSH
- MicroRNAs genetics MeSH
- Neoplasms genetics pathology MeSH
- Gene Expression Regulation, Neoplastic * MeSH
- Animals MeSH
- Check Tag
- Humans MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Review MeSH
Circular RNAs (circRNAs) constitute a recently recognized group of noncoding transcripts that function as posttranscriptional regulators of gene expression at a new level. Recent developments in experimental methods together with rapidly evolving bioinformatics approaches have accelerated the exploration of circRNAs. The differentiation of hematopoietic stem cells into a broad spectrum of specialized blood lineages is a tightly regulated process that depends on a multitude of factors, including circRNAs. However, despite the growing number of circRNAs described to date, the roles of the majority of them in hematopoiesis remain unknown. Given their stability and disease-specific expression, circRNAs have been acknowledged as novel promising biomarkers and therapeutic targets. In this paper, the biogenesis, characteristics, and roles of circRNAs are reviewed with an emphasis on their currently recognized or presumed involvement in hematopoiesis, especially in acute myeloid leukemia and myelodysplastic syndrome.
- MeSH
- Leukemia, Myeloid, Acute blood genetics MeSH
- Hematopoiesis * MeSH
- RNA, Circular blood genetics MeSH
- Humans MeSH
- Myelodysplastic Syndromes blood genetics MeSH
- Biomarkers, Tumor blood genetics MeSH
- Animals MeSH
- Check Tag
- Humans MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
- Review MeSH
