1
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Zhou Y, Cui H, Liu D, Wang W. MSTCRB: Predicting circRNA-RBP interaction by extracting multi-scale features based on transformer and attention mechanism. Int J Biol Macromol 2024; 278:134805. [PMID: 39153682 DOI: 10.1016/j.ijbiomac.2024.134805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Revised: 08/14/2024] [Accepted: 08/14/2024] [Indexed: 08/19/2024]
Abstract
CircRNAs play vital roles in biological system mainly through binding RNA-binding protein (RBP), which is essential for regulating physiological processes in vivo and for identifying causal disease variants. Therefore, predicting interactions between circRNA and RBP is a critical step for the discovery of new therapeutic agents. Application of various deep-learning models in bioinformatics has significantly improved prediction and classification performance. However, most of existing prediction models are only applicable to specific type of RNA or RNA with simple characteristics. In this study, we proposed an attractive deep learning model, MSTCRB, based on transformer and attention mechanism for extracting multi-scale features to predict circRNA-RBP interactions. Therein, K-mer and KNF encoding are employed to capture the global sequence features of circRNA, NCP and DPCP encoding are utilized to extract local sequence features, and the CDPfold method is applied to extract structural features. In order to improve prediction performance, optimized transformer framework and attention mechanism were used to integrate these multi-scale features. We compared our model's performance with other five state-of-the-art methods on 37 circRNA datasets and 31 linear RNA datasets. The results show that the average AUC value of MSTCRB reaches 98.45 %, which is better than other comparative methods. All of above datasets are deposited in https://github.com/chy001228/MSTCRB_database.git and source code are available from https://github.com/chy001228/MSTCRB.git.
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Affiliation(s)
- Yun Zhou
- College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China; Key Laboratory of Artificial Intelligence and Personalized Learning in Education of Henan Province, College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China.
| | - Haoyu Cui
- College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China
| | - Dong Liu
- College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China; Key Laboratory of Artificial Intelligence and Personalized Learning in Education of Henan Province, College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China.
| | - Wei Wang
- College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China; Key Laboratory of Artificial Intelligence and Personalized Learning in Education of Henan Province, College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China.
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2
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Scacchetti A, Shields EJ, Trigg NA, Lee GS, Wilusz JE, Conine CC, Bonasio R. A ligation-independent sequencing method reveals tRNA-derived RNAs with blocked 3' termini. Mol Cell 2024:S1097-2765(24)00584-7. [PMID: 39096899 DOI: 10.1016/j.molcel.2024.07.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 12/12/2023] [Accepted: 07/10/2024] [Indexed: 08/05/2024]
Abstract
Despite the numerous sequencing methods available, the diversity in RNA size and chemical modification makes it difficult to capture all RNAs in a cell. We developed a method that combines quasi-random priming with template switching to construct sequencing libraries from RNA molecules of any length and with any type of 3' modifications, allowing for the sequencing of virtually all RNA species. Our ligation-independent detection of all types of RNA (LIDAR) is a simple, effective tool to identify and quantify all classes of coding and non-coding RNAs. With LIDAR, we comprehensively characterized the transcriptomes of mouse embryonic stem cells, neural progenitor cells, mouse tissues, and sperm. LIDAR detected a much larger variety of tRNA-derived RNAs (tDRs) compared with traditional ligation-dependent sequencing methods and uncovered tDRs with blocked 3' ends that had previously escaped detection. Therefore, LIDAR can capture all RNAs in a sample and uncover RNA species with potential regulatory functions.
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Affiliation(s)
- Alessandro Scacchetti
- Epigenetics Institute and Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Emily J Shields
- Epigenetics Institute and Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Department of Urology and Institute of Neuropathology, Medical Center - University of Freiburg, 79106 Freiburg, Germany
| | - Natalie A Trigg
- Departments of Genetics and Pediatrics - Penn Epigenetics Institute, Institute of Regenerative Medicine, and Center for Research on Reproduction and Women's Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Division of Neonatology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Grace S Lee
- Departments of Genetics and Pediatrics - Penn Epigenetics Institute, Institute of Regenerative Medicine, and Center for Research on Reproduction and Women's Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Jeremy E Wilusz
- Verna and Marrs McLean Department of Biochemistry and Molecular Pharmacology, Therapeutic Innovation Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Colin C Conine
- Departments of Genetics and Pediatrics - Penn Epigenetics Institute, Institute of Regenerative Medicine, and Center for Research on Reproduction and Women's Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Division of Neonatology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Roberto Bonasio
- Epigenetics Institute and Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
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3
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Ke X, Liang A, Chen C, Hu T. A one-pot CRISPR-RCA strategy for ultrasensitive and specific detection of circRNA. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2024; 16:3256-3262. [PMID: 38726809 DOI: 10.1039/d4ay00693c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2024]
Abstract
Accurate and precise detection of circular RNA (circRNA) is imperative for its clinical use. However, the inherent challenges in circRNA detection, arising from its low abundance and potential interference from linear isomers, necessitate innovative solutions. In this study, we introduce, for the first time, the application of the CRISPR/Cas12a system to establish a one-pot, rapid (30 minutes to 2 hours), specific and ultrasensitive circRNA detection strategy, termed RETA-CRISPR (reverse transcription-rolling circle amplification (RT-RCA) with the CRISPR/Cas12a). This method comprises two steps: (1) the RT-RCA process of circRNA amplification, generating repeat units containing the back-splicing junction (BSJ) sequences; and (2) leveraging the protospacer adjacent motif (PAM)-independent Cas12a/crRNA complex to precisely recognize target sequences with BSJ, thereby initiating the collateral cleavage activity of Cas12a to generate a robust fluorescence signal. Remarkably, this approach exhibits the capability to detect circRNAs at a concentration as low as 300 aM. The sensor has been successfully employed for accurate detection of a potential hepatocellular carcinoma biomarker hsa_circ_0001445 (circRNA1445) in various cell lines. In conclusion, RETA-CRISPR seamlessly integrates the advantages of exponential amplification reaction and the robust collateral cleavage activity of Cas12a, positioning it as a compelling tool for practical CRISPR-based diagnostics.
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Affiliation(s)
- Xinxin Ke
- Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
| | - Ajuan Liang
- Department of Obstetrics, Shanghai First Maternity and Infant Hospital, Obstetrics and Gynecology Hospital, School of Medicine, Tongji University, Shanghai 201204, China
| | - Chuanxia Chen
- School of Materials Science and Engineering, University of Jinan, Jinan 250022, China
| | - Tao Hu
- Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
- School of Basic Medical Sciences & Forensic Medicine, Hangzhou Medical College, Hangzhou 310000, China
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4
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Drula R, Braicu C, Neagoe IB. Current advances in circular RNA detection and investigation methods: Are we running in circles? WILEY INTERDISCIPLINARY REVIEWS. RNA 2024; 15:e1850. [PMID: 38702943 DOI: 10.1002/wrna.1850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Revised: 03/30/2024] [Accepted: 04/01/2024] [Indexed: 05/06/2024]
Abstract
Circular RNAs (circRNAs), characterized by their closed-loop structure, have emerged as significant transcriptomic regulators, with roles spanning from microRNA sponging to modulation of gene expression and potential peptide coding. The discovery and functional analysis of circRNAs have been propelled by advancements in both experimental and bioinformatics tools, yet the field grapples with challenges related to their detection, isoform diversity, and accurate quantification. This review navigates through the evolution of circRNA research methodologies, from early detection techniques to current state-of-the-art approaches that offer comprehensive insights into circRNA biology. We examine the limitations of existing methods, particularly the difficulty in differentiating circRNA isoforms and distinguishing circRNAs from their linear counterparts. A critical evaluation of various bioinformatics tools and novel experimental strategies is presented, emphasizing the need for integrated approaches to enhance our understanding and interpretation of circRNA functions. Our insights underscore the dynamic and rapidly advancing nature of circRNA research, highlighting the ongoing development of analytical frameworks designed to address the complexity of circRNAs and facilitate the assessment of their clinical utility. As such, this comprehensive overview aims to catalyze further advancements in circRNA study, fostering a deeper understanding of their roles in cellular processes and potential implications in disease. This article is categorized under: RNA Methods > RNA Nanotechnology RNA Methods > RNA Analyses in Cells RNA Methods > RNA Analyses In Vitro and In Silico.
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Affiliation(s)
- Rareș Drula
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Cornelia Braicu
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Ioana-Berindan Neagoe
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
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5
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Baulina NM, Kiselev IS, Chumakova OS, Favorova OO. Circular RNAs: Biogenesis, Functions, and Role in Myocardial Hypertrophy. BIOCHEMISTRY. BIOKHIMIIA 2024; 89:S1-S13. [PMID: 38621741 DOI: 10.1134/s0006297924140013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 07/14/2023] [Accepted: 07/16/2023] [Indexed: 04/17/2024]
Abstract
Circular RNAs (circRNAs) are a large class of endogenous single-stranded covalently closed RNA molecules. High-throughput RNA sequencing and bioinformatic algorithms have identified thousands of eukaryotic circRNAs characterized by high stability and tissue-specific expression pattern. Recent studies have shown that circRNAs play an important role in the regulation of physiological processes in the norm and in various diseases, including cardiovascular disorders. The review presents current concepts of circRNA biogenesis, structural features, and biological functions, describes the methods of circRNA analysis, and summarizes the results of studies on the role of circRNAs in the pathogenesis of hypertrophic cardiomyopathy, the most common inherited heart disease.
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Affiliation(s)
- Natalia M Baulina
- Chazov National Medical Research Centre of Cardiology, Ministry of Health of the Russian Federation, Moscow, 121552, Russia.
- Pirogov Russian National Research Medical University, Moscow, 117997, Russia
| | - Ivan S Kiselev
- Chazov National Medical Research Centre of Cardiology, Ministry of Health of the Russian Federation, Moscow, 121552, Russia
- Pirogov Russian National Research Medical University, Moscow, 117997, Russia
| | - Olga S Chumakova
- Chazov National Medical Research Centre of Cardiology, Ministry of Health of the Russian Federation, Moscow, 121552, Russia
| | - Olga O Favorova
- Chazov National Medical Research Centre of Cardiology, Ministry of Health of the Russian Federation, Moscow, 121552, Russia
- Pirogov Russian National Research Medical University, Moscow, 117997, Russia
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6
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Singh S, Das A, Panda AC. Sanger Sequencing to Determine the Full-Length Sequence of Circular RNAs. Methods Mol Biol 2024; 2765:93-105. [PMID: 38381335 DOI: 10.1007/978-1-0716-3678-7_5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Abstract
The pre-existing theory of pre-mRNA splicing into linear mature RNA was questioned with the introduction of circular RNAs (circRNAs). Hundreds of studies using high throughput RNA-sequencing (RNA-seq) techniques and novel computational programs reported the abundant and ubiquitous expression of circRNAs originating by pre-mRNA backsplicing. CircRNAs are mostly involved in gene expression by regulating functions of interacting microRNAs (miRNAs) and RNA-binding proteins (RBPs) or translating into functional polypeptides. Although all circRNA annotation tools identify circRNAs based on the backsplice junction (BSJ) sequences, only a few identify the internal sequences of circRNAs. However, the full-length sequence of circRNAs from RNA-seq data could be error-prone due to its similarity with the counterpart linear RNA. Since circRNA function depends on the mature sequence, validation of the mature sequence is the prerequisite for their further characterization. In this chapter, we discuss the validation of circRNA BSJ sequence by RT-PCR using divergent primer followed by Sanger sequencing. Furthermore, we describe the circRNA-rolling circle amplification (circRNA-RCA; circRNA enrichment by RNase R treatment, full-length cDNA synthesis, rolling circle PCR amplification using full-length primers, and Sanger sequencing of the PCR product) to validate the mature splice sequence of circRNAs. This chapter highlights the basic guidelines for designing divergent and full-length primers for PCR amplification and Sanger sequencing to validate circRNA sequences.
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Affiliation(s)
- Suman Singh
- Institute of Life Sciences, Nalco Square, Bhubaneswar, Odisha, India
| | - Aniruddha Das
- Institute of Life Sciences, Nalco Square, Bhubaneswar, Odisha, India
| | - Amaresh C Panda
- Institute of Life Sciences, Nalco Square, Bhubaneswar, Odisha, India.
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7
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Qi K, Dou Y, Zhang Z, Wei Y, Song C, Qiao R, Li X, Yang F, Wang K, Li X, Han X. Expression Profile and Regulatory Properties of m6A-Modified circRNAs in the Longissimus Dorsi of Queshan Black and Large White Pigs. Animals (Basel) 2023; 13:2190. [PMID: 37443988 DOI: 10.3390/ani13132190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 06/21/2023] [Accepted: 06/29/2023] [Indexed: 07/15/2023] Open
Abstract
It is well known that N6-methyladenosine (m6A) is the most abundant modification in linear RNA molecules, but many circRNA molecules have now been found to have a wide range of m6A modification sites as well. However, there are few relevant studies and information on the expression profile and functional regulatory properties of m6A-modified circRNAs (m6A-circRNAs) in longissimus dorsi. In this study, a total of 12 putative m6A-circRNAs were identified and characterized in the longissimus dorsi of Queshan Black and Large White pigs-8 of them were significantly more expressed in the longissimus dorsi of Queshan Black than in Large White pigs, while the other 4 were the opposite. These 12 putative m6A-circRNAs were also found to act as miRNA sponge molecules to regulate fat deposition by constructing the ceRNA regulatory network. Enrichment analysis also revealed that the 12 m6A-circRNAs parent genes and their adsorbed miRNA target genes were widely involved in fat deposition and cell proliferation and differentiation-related pathways, such as the HIF-1 signaling pathway, the pentose phosphate pathway, the MAPK signaling pathway, the glycosphingolipid biosynthesis-lacto and neolacto series, and the TNF signaling pathway, suggesting that the analyzed m6A-circRNAs may be largely involved in the formation of pork quality. These results provide new information to study the regulatory properties of m6A-circRNAs in the formation of pork quality.
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Affiliation(s)
- Kunlong Qi
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China
| | - Yaqing Dou
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China
| | - Zhe Zhang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China
| | - Yilin Wei
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China
| | - Chenglei Song
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China
| | - Ruimin Qiao
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China
| | - Xiuling Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China
| | - Feng Yang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China
| | - Kejun Wang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China
| | - Xinjian Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China
| | - Xuelei Han
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China
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8
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Scacchetti A, Shields EJ, Trigg NA, Wilusz JE, Conine CC, Bonasio R. A ligation-independent sequencing method reveals tRNA-derived RNAs with blocked 3' termini. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.06.543899. [PMID: 37333231 PMCID: PMC10274639 DOI: 10.1101/2023.06.06.543899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Despite the numerous sequencing methods available, the vast diversity in size and chemical modifications of RNA molecules makes the capture of the full spectrum of cellular RNAs a difficult task. By combining quasi-random hexamer priming with a custom template switching strategy, we developed a method to construct sequencing libraries from RNA molecules of any length and with any type of 3' terminal modification, allowing the sequencing and analysis of virtually all RNA species. Ligation-independent detection of all types of RNA (LIDAR) is a simple, effective tool to comprehensively characterize changes in small non-coding RNAs and mRNAs simultaneously, with performance comparable to separate dedicated methods. With LIDAR, we comprehensively characterized the coding and non-coding transcriptome of mouse embryonic stem cells, neural progenitor cells, and sperm. LIDAR detected a much larger variety of tRNA-derived RNAs (tDRs) compared to traditional ligation-dependent sequencing methods, and uncovered the presence of tDRs with blocked 3' ends that had previously escaped detection. Our findings highlight the potential of LIDAR to systematically detect all RNAs in a sample and uncover new RNA species with potential regulatory functions.
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Affiliation(s)
- Alessandro Scacchetti
- Epigenetics Institute and Department of Cell and Developmental Biology; University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Emily J. Shields
- Epigenetics Institute and Department of Cell and Developmental Biology; University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
- Department of Urology and Institute of Neuropathology, Medical Center–University of Freiburg, 79106 Freiburg, Germany
| | - Natalie A. Trigg
- Departments of Genetics and Pediatrics - Penn Epigenetics Institute, Institute of Regenerative Medicine, and Center for Research on Reproduction and Women’s Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
- Division of Neonatology, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Jeremy E. Wilusz
- Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Therapeutic Innovation Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Colin C. Conine
- Departments of Genetics and Pediatrics - Penn Epigenetics Institute, Institute of Regenerative Medicine, and Center for Research on Reproduction and Women’s Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
- Division of Neonatology, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Roberto Bonasio
- Epigenetics Institute and Department of Cell and Developmental Biology; University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
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9
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Das A, Sinha T, Mishra SS, Das D, Panda AC. Identification of potential proteins translated from circular RNA splice variants. Eur J Cell Biol 2023; 102:151286. [PMID: 36645925 PMCID: PMC7614519 DOI: 10.1016/j.ejcb.2023.151286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Revised: 01/09/2023] [Accepted: 01/09/2023] [Indexed: 01/11/2023] Open
Abstract
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.
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Affiliation(s)
- Aniruddha Das
- Institute of Life Sciences, Nalco Square, Bhubaneswar 751023, Odisha, India; School of Biotechnology, KIIT University, Bhubaneswar 751024, India
| | - Tanvi Sinha
- Institute of Life Sciences, Nalco Square, Bhubaneswar 751023, Odisha, India
| | | | - Debojyoti Das
- Institute of Life Sciences, Nalco Square, Bhubaneswar 751023, Odisha, India
| | - Amaresh C Panda
- Institute of Life Sciences, Nalco Square, Bhubaneswar 751023, Odisha, India.
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10
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Deng F, Zhang C, Lu T, Liao EJ, Huang H, Wei S. Roles of circRNAs in hematological malignancies. Biomark Res 2022; 10:50. [PMID: 35840998 PMCID: PMC9284813 DOI: 10.1186/s40364-022-00392-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 06/08/2022] [Indexed: 11/20/2022] Open
Abstract
As one of the leading causes of death, hematologic malignancies are associated with an ever-increasing incidence, and drug resistance and relapse of patients after treatment represent clinical challenges. Therefore, there are pressing demands to uncover biomarkers to indicate the development, progression, and therapeutic targets for hematologic malignancies. Circular RNAs (circRNAs) are covalently closed circular-single-stranded RNAs whose biosynthesis is regulated by various factors and is widely-expressed and evolutionarily conserved in many organisms and expressed in a tissue−/cell-specific manner. Recent reports have indicated that circRNAs plays an essential role in the progression of hematological malignancies. However, circRNAs are difficult to detect with low abundance using conventional techniques. We need to learn more information about their features to develop new detection methods. Herein, we sought to retrospect the current knowledge about the characteristics of circRNAs and summarized research on circRNAs in hematological malignancies to explore a potential direction.
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Affiliation(s)
- Fahua Deng
- Department of Clinical Biochemistry, School of Clinical Laboratory Science, Guizhou Medical University, Guiyang, 550004, Guizhou Province, China
| | - Chengsi Zhang
- Department of Clinical Biochemistry, School of Clinical Laboratory Science, Guizhou Medical University, Guiyang, 550004, Guizhou Province, China
| | - Tingting Lu
- Department of Clinical Biochemistry, School of Clinical Laboratory Science, Guizhou Medical University, Guiyang, 550004, Guizhou Province, China.,Center for Clinical Laboratories, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, Guizhou Province, China
| | - Ezhong Joshua Liao
- Center for Clinical Laboratories, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, Guizhou Province, China.,Key Lab of Endemic and Ethnic Diseases of the Ministry of Education of China in Guizhou Medical University, Guiyang, 550004, Guizhou Province, China
| | - Hai Huang
- Department of Clinical Biochemistry, School of Clinical Laboratory Science, Guizhou Medical University, Guiyang, 550004, Guizhou Province, China. .,Center for Clinical Laboratories, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, Guizhou Province, China.
| | - Sixi Wei
- Department of Clinical Biochemistry, School of Clinical Laboratory Science, Guizhou Medical University, Guiyang, 550004, Guizhou Province, China. .,Center for Clinical Laboratories, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, Guizhou Province, China.
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11
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Das A, Das D, Panda AC. Validation of Circular RNAs by PCR. METHODS IN MOLECULAR BIOLOGY (CLIFTON, N.J.) 2021; 2392:103-114. [PMID: 34773618 DOI: 10.1007/978-1-0716-1799-1_8] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
High-throughput RNA-sequencing (RNA-seq) technologies combined with novel bioinformatic algorithms discovered a large class of covalently closed single-stranded RNA molecules called circular RNAs (circRNAs ). Although RNA-seq has identified more than a million circRNAs, only a handful of them is validated with other techniques, including northern blotting, gel-trap electrophoresis, exonuclease treatment assays, and polymerase chain reaction (PCR). Reverse transcription (RT) of total RNA followed by PCR amplification is the most widely used technique for validating circRNAs identified in RNA-seq. RT-PCR is a highly reproducible, sensitive, and quantitative method for the detection and quantitation of circRNAs. This chapter details the basic guidelines for designing suitable primers for PCR amplification and validation of circRNAs .
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Affiliation(s)
- Aniruddha Das
- Institute of Life Sciences, Bhubaneswar, Odisha, India.,School of Biotechnology, KIIT University, Bhubaneswar, Odisha, India
| | - Debojyoti Das
- Institute of Life Sciences, Bhubaneswar, Odisha, India.,School of Biotechnology, KIIT University, Bhubaneswar, Odisha, India
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12
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Liu Z, Tao C, Li S, Du M, Bai Y, Hu X, Li Y, Chen J, Yang E. circFL-seq reveals full-length circular RNAs with rolling circular reverse transcription and nanopore sequencing. eLife 2021; 10:e69457. [PMID: 34647522 PMCID: PMC8550772 DOI: 10.7554/elife.69457] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 10/13/2021] [Indexed: 12/21/2022] Open
Abstract
Circular RNAs (circRNAs) act through multiple mechanisms via their sequence features to fine-tune gene expression networks. Due to overlapping sequences with linear cognates, identifying internal sequences of circRNAs remains a challenge, which hinders a comprehensive understanding of circRNA functions and mechanisms. Here, based on rolling circular reverse transcription and nanopore sequencing, we developed circFL-seq, a full-length circRNA sequencing method, to profile circRNA at the isoform level. With a customized computational pipeline to directly identify full-length sequences from rolling circular reads, we reconstructed 77,606 high-quality circRNAs from seven human cell lines and two human tissues. circFL-seq benefits from rolling circles and long-read sequencing, and the results showed more than tenfold enrichment of circRNA reads and advantages for both detection and quantification at the isoform level compared to those for short-read RNA sequencing. The concordance of the RT-qPCR and circFL-seq results for the identification of differential alternative splicing suggested wide application prospects for functional studies of internal variants in circRNAs. Moreover, the detection of fusion circRNAs at the omics scale may further expand the application of circFL-seq. Taken together, the accurate identification and quantification of full-length circRNAs make circFL-seq a potential tool for large-scale screening of functional circRNAs.
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Affiliation(s)
- Zelin Liu
- Institute of Systems Biomedicine, Department of Medical Bioinformatics, School of Basic Medical Sciences, Peking University Health Science Center, Key Laboratory for Neuroscience, Ministry of Education/National Health Commission of China , NHC Key Laboratory of Medical Immunology (Peking University)BeijingChina
| | - Changyu Tao
- Department of Human Anatomy, Histology & Embryology, School of Basic Medical Sciences, Peking University Health Science CenterBeijingChina
| | - Shiwei Li
- Department of Radiation Medicine, School of Basic Medical Sciences, Peking University Health Science CenterBeijingChina
| | - Minghao Du
- Department of Microbiology & Infectious Disease Center, School of Basic Medical Science Peking University Health Science CenterBeijingChina
| | - Yongtai Bai
- Department of Radiation Medicine, School of Basic Medical Sciences, Peking University Health Science CenterBeijingChina
| | - Xueyan Hu
- Institute of Systems Biomedicine, Department of Medical Bioinformatics, School of Basic Medical Sciences, Peking University Health Science Center, Key Laboratory for Neuroscience, Ministry of Education/National Health Commission of China , NHC Key Laboratory of Medical Immunology (Peking University)BeijingChina
| | - Yu Li
- Chinese Institute for Brain ResearchBeijingChina
| | - Jian Chen
- Chinese Institute for Brain ResearchBeijingChina
| | - Ence Yang
- Institute of Systems Biomedicine, Department of Medical Bioinformatics, School of Basic Medical Sciences, Peking University Health Science Center, Key Laboratory for Neuroscience, Ministry of Education/National Health Commission of China , NHC Key Laboratory of Medical Immunology (Peking University)BeijingChina
- Department of Microbiology & Infectious Disease Center, School of Basic Medical Science Peking University Health Science CenterBeijingChina
- Chinese Institute for Brain ResearchBeijingChina
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13
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Lu W, Yu K, Li X, Ge Q, Liang G, Bai Y. Identification of full-length circular nucleic acids using long-read sequencing technologies. Analyst 2021; 146:6102-6113. [PMID: 34549740 DOI: 10.1039/d1an01147b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Unlike the traditional perception in genomic DNA or linear RNA, circular nucleic acids are a class of functional biomolecules with a circular configuration and are often observed in nature. These circular molecules encompass the full spectrum of size and play an important role in organisms, making circular nucleic acids research worthy. Due to the low abundance of most types of circular nucleic acids and the disadvantages of short-read sequencing platforms, accurate and full-length circular nucleic acid sequencing and identification is difficult. In this review, we have provided insights into full-length circular nucleic acid detection methods using long-read sequencing technologies, with a focus on the experimental and bioinformatics strategies to obtain accurate sequences.
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Affiliation(s)
- Wenxiang Lu
- State Key Lab of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu, 210096, China.
| | - Kequan Yu
- State Key Lab of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu, 210096, China.
| | - Xiaohan Li
- State Key Lab of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu, 210096, China.
| | - Qinyu Ge
- State Key Lab of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu, 210096, China.
| | - Geyu Liang
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, Jiangsu, 210096, China
| | - Yunfei Bai
- State Key Lab of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu, 210096, China.
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14
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Das A, Sinha T, Shyamal S, Panda AC. Emerging Role of Circular RNA-Protein Interactions. Noncoding RNA 2021; 7:48. [PMID: 34449657 PMCID: PMC8395946 DOI: 10.3390/ncrna7030048] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 07/26/2021] [Accepted: 07/29/2021] [Indexed: 12/17/2022] Open
Abstract
Circular RNAs (circRNAs) are emerging as novel regulators of gene expression in various biological processes. CircRNAs regulate gene expression by interacting with cellular regulators such as microRNAs and RNA binding proteins (RBPs) to regulate downstream gene expression. The accumulation of high-throughput RNA-protein interaction data revealed the interaction of RBPs with the coding and noncoding RNAs, including recently discovered circRNAs. RBPs are a large family of proteins known to play a critical role in gene expression by modulating RNA splicing, nuclear export, mRNA stability, localization, and translation. However, the interaction of RBPs with circRNAs and their implications on circRNA biogenesis and function has been emerging in the last few years. Recent studies suggest that circRNA interaction with target proteins modulates the interaction of the protein with downstream target mRNAs or proteins. This review outlines the emerging mechanisms of circRNA-protein interactions and their functional role in cell physiology.
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Affiliation(s)
- Arundhati Das
- Institute of Life Sciences, Nalco Square, Bhubaneswar 751023, India; (A.D.); (T.S.); (S.S.)
- School of Biotechnology, KIIT University, Bhubaneswar 751024, India
| | - Tanvi Sinha
- Institute of Life Sciences, Nalco Square, Bhubaneswar 751023, India; (A.D.); (T.S.); (S.S.)
| | - Sharmishtha Shyamal
- Institute of Life Sciences, Nalco Square, Bhubaneswar 751023, India; (A.D.); (T.S.); (S.S.)
| | - Amaresh Chandra Panda
- Institute of Life Sciences, Nalco Square, Bhubaneswar 751023, India; (A.D.); (T.S.); (S.S.)
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15
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Sinha T, Panigrahi C, Das D, Chandra Panda A. Circular RNA translation, a path to hidden proteome. WILEY INTERDISCIPLINARY REVIEWS-RNA 2021; 13:e1685. [PMID: 34342387 DOI: 10.1002/wrna.1685] [Citation(s) in RCA: 68] [Impact Index Per Article: 22.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Revised: 07/07/2021] [Accepted: 07/08/2021] [Indexed: 11/06/2022]
Abstract
Functional proteins in the cell are translated from the messenger RNA (mRNA) molecules, constituting less than 5% of the cellular transcriptome. The majority of the RNA molecules in the cell are noncoding RNAs, including rRNA, tRNA, snRNA, piRNA, lncRNA, microRNA, and poorly characterized circular RNAs (circRNAs). Recent studies established that circRNAs regulate gene expression by associating with RNA-binding proteins and microRNAs. With the growing understanding of circRNA functions, a subset of circRNAs has been reported to translate into proteins. Interestingly, the presence of Open Reading Frames (ORFs), N6-methyladenosine (m6A) modifications, and internal ribosomal entry sites (IRES) in the circRNA sequences indicate their coding potential through the cap-independent translation initiation mechanism. The purpose of this review is to highlight the mechanism of circRNA translation and the importance of circRNA-encoded proteins (circ-proteins) in cellular physiology and pathology. Here, we discuss the computational and molecular methods currently utilized to systematically identify translatable circRNAs and the functional characterization of the circ-proteins. We foresee that the ongoing and future studies on circRNA translation will uncover the hidden proteome and their therapeutic implications in human health. This article is categorized under: RNA Methods > RNA Analyses in Cells Regulatory RNAs/RNAi/Riboswitches > Regulatory RNAs Translation > Mechanisms.
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Affiliation(s)
- Tanvi Sinha
- Institute of Life Sciences, Nalco Square, Bhubaneswar, Odisha, India
| | - Chirag Panigrahi
- Institute of Life Sciences, Nalco Square, Bhubaneswar, Odisha, India
| | - Debojyoti Das
- Institute of Life Sciences, Nalco Square, Bhubaneswar, Odisha, India.,School of Biotechnology, KIIT University, Bhubaneswar, Odisha, India
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16
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Dong J, Zeng Z, Sun R, Zhang X, Cheng Z, Chen C, Zhu Q. Specific and sensitive detection of CircRNA based on netlike hybridization chain reaction. Biosens Bioelectron 2021; 192:113508. [PMID: 34284304 DOI: 10.1016/j.bios.2021.113508] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 06/30/2021] [Accepted: 07/13/2021] [Indexed: 01/08/2023]
Abstract
Circular RNA (circRNA), as a new class of biomarker, plays an important role in the occurrence and development of cancer. However, the limitations of detection methods in recent years have severely restricted the related research of circRNA. Here, we have developed an effective circRNA detection method based on the thermostatic netlike hybridization chain reaction (HCR). It combines reverse transcription-rolling circle amplification (RT-RCA) with well-designed netlike HCR to achieve dual selection and dual signal amplification, which can eliminate the interference of linear isomers. This two-dimensional netlike HCR is composed of an ingeniously designed trigger chain and two hairpin fuel probes, which can generate a stable network structure with RT-RCA products containing multiple sets of repeats at a constant temperature, thereby producing enhanced fluorescent signals. Systematic studies reveal that the optimized netlike HCR system has higher detection efficiency for DNA strands containing multiple sets of repetitive sequences, can detect circRNA as low as 0.1 pM, and has excellent selectivity. By using human tumor cell lines and tissues, it has been verified that the netlike HCR-based method can accurately detect specific circRNA in real biological samples without RNase R enrichment, which provides a simple and useful platform for detecting low-abundance circRNA. Furthermore, the proposed strategy is also a potential method for detecting some genes containing repetitive sequences, such as telomere DNA, centromere DNA and ribosomal DNA (rDNA).
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Affiliation(s)
- Jiani Dong
- Xiangya School of Pharmaceutical Sciences in Central South University, Changsha, 410013, Hunan, China.
| | - Zhuoer Zeng
- Xiangya School of Pharmaceutical Sciences in Central South University, Changsha, 410013, Hunan, China.
| | - Ruowei Sun
- Hunan Zaochen Nanorobot Co., Ltd, Liuyang, 410300, Hunan, China.
| | - Xun Zhang
- Hunan Zaochen Nanorobot Co., Ltd, Liuyang, 410300, Hunan, China.
| | - Zeneng Cheng
- Xiangya School of Pharmaceutical Sciences in Central South University, Changsha, 410013, Hunan, China.
| | - Chuanpin Chen
- Xiangya School of Pharmaceutical Sciences in Central South University, Changsha, 410013, Hunan, China.
| | - Qubo Zhu
- Xiangya School of Pharmaceutical Sciences in Central South University, Changsha, 410013, Hunan, China.
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17
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Yang Z, He T, Chen Q. The Roles of CircRNAs in Regulating Muscle Development of Livestock Animals. Front Cell Dev Biol 2021; 9:619329. [PMID: 33748107 PMCID: PMC7973088 DOI: 10.3389/fcell.2021.619329] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 01/18/2021] [Indexed: 12/25/2022] Open
Abstract
The muscle growth and development of livestock animals is a complex, multistage process, which is regulated by many factors, especially the genes related to muscle development. In recent years, it has been reported frequently that circular RNAs (circRNAs) are involved widely in cell proliferation, cell differentiation, and body development (including muscle development). However, the research on circRNAs in muscle growth and development of livestock animals is still in its infancy. In this paper, we briefly introduce the discovery, classification, biogenesis, biological function, and degradation of circRNAs and focus on the molecular mechanism and mode of action of circRNAs as competitive endogenous RNAs in the muscle development of livestock and poultry. In addition, we also discuss the regulatory mechanism of circRNAs on muscle development in livestock in terms of transcription, translation, and mRNAs. The purpose of this article is to discuss the multiple regulatory roles of circRNAs in the process of muscle development in livestock, to provide new ideas for the development of a new co-expression regulation network, and to lay a foundation for enriching livestock breeding and improving livestock economic traits.
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Affiliation(s)
- Zhenguo Yang
- Laboratory for Bio-Feed and Molecular Nutrition, College of Animal Science and Technology, Southwest University, Chongqing, China
| | - Tianle He
- Laboratory for Bio-Feed and Molecular Nutrition, College of Animal Science and Technology, Southwest University, Chongqing, China
| | - Qingyun Chen
- Laboratory for Bio-Feed and Molecular Nutrition, College of Animal Science and Technology, Southwest University, Chongqing, China
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18
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Wei X, Shi Y, Dai Z, Wang P, Meng X, Yin B. Underlying metastasis mechanism and clinical application of exosomal circular RNA in tumors (Review). Int J Oncol 2021; 58:289-297. [PMID: 33650643 PMCID: PMC7864150 DOI: 10.3892/ijo.2021.5179] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 01/11/2021] [Indexed: 12/14/2022] Open
Abstract
Circular RNA (circRNA) is a long non-coding RNA molecule with a closed loop structure lacking a 5′cap and 3′tail. circRNA is stable, difficult to cleave and resistant to RNA exonuclease or RNase R degradation. circRNA molecules have several clinical applications, especially in tumors. For instance, circRNA may be used for non-invasive diagnosis, therapy and prognosis. Exosomes play a crucial role in the development of tumors. Exosomal circRNA in particular has led to increased research interest into tumorigenesis and tumor progression. Additionally, exosomal circRNA plays a role in cell-cell communication. Exosomal circRNA facilitates tumor metastasis by altering the tumor microenvironment and the pre-metastatic niche. Additionally, studies have revealed the mechanism by which exosomal circRNA affects malignant progression through signal transduction. Moreover, exosomal circRNA promotes tumor metastasis by regulating gene expression, RNA transcription and protein translation. In this review, the biological features and clinical application of exosomal circRNA are described, highlighting the underlying mechanisms through which they regulate tumor metastasis. The application of circRNA as clinical diagnostic biomarkers and in the development of novel therapeutic strategies is also discussed.
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Affiliation(s)
- Xuezhi Wei
- Department of Urology, Sheng Jing Hospital of China Medical University, Shenyang, Liaoning 110004, P.R. China
| | - Yaxing Shi
- Department of Urology, Sheng Jing Hospital of China Medical University, Shenyang, Liaoning 110004, P.R. China
| | - Zhijun Dai
- Department of Surgery, People's Hospital of Nong An Country, Changchun, Jilin 130200, P.R. China
| | - Pei Wang
- Department of Orthopedics, Chengde Affiliated Hospital of Chengde Medical College, Chengde, Hebei 067000, P.R. China
| | - Xin Meng
- Department of Biochemistry and Molecular Biology, School of Life Sciences, China Medical University, Shenyang, Liaoning 110122, P.R. China
| | - Bo Yin
- Department of Urology, Sheng Jing Hospital of China Medical University, Shenyang, Liaoning 110004, P.R. China
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19
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Vromman M, Vandesompele J, Volders PJ. Closing the circle: current state and perspectives of circular RNA databases. Brief Bioinform 2021; 22:288-297. [PMID: 31998941 PMCID: PMC7820840 DOI: 10.1093/bib/bbz175] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 12/16/2019] [Accepted: 11/21/2019] [Indexed: 12/11/2022] Open
Abstract
Circular RNAs (circRNAs) are covalently closed RNA molecules that have been linked to various diseases, including cancer. However, a precise function and working mechanism are lacking for the larger majority. Following many different experimental and computational approaches to identify circRNAs, multiple circRNA databases were developed as well. Unfortunately, there are several major issues with the current circRNA databases, which substantially hamper progression in the field. First, as the overlap in content is limited, a true reference set of circRNAs is lacking. This results from the low abundance and highly specific expression of circRNAs, and varying sequencing methods, data-analysis pipelines, and circRNA detection tools. A second major issue is the use of ambiguous nomenclature. Thus, redundant or even conflicting names for circRNAs across different databases contribute to the reproducibility crisis. Third, circRNA databases, in essence, rely on the position of the circRNA back-splice junction, whereas alternative splicing could result in circRNAs with different length and sequence. To uniquely identify a circRNA molecule, the full circular sequence is required. Fourth, circRNA databases annotate circRNAs' microRNA binding and protein-coding potential, but these annotations are generally based on presumed circRNA sequences. Finally, several databases are not regularly updated, contain incomplete data or suffer from connectivity issues. In this review, we present a comprehensive overview of the current circRNA databases and their content, features, and usability. In addition to discussing the current issues regarding circRNA databases, we come with important suggestions to streamline further research in this growing field.
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Affiliation(s)
- Marieke Vromman
- department of Biomolecular Medicine at Ghent University and a member of the Cancer Research Institute Ghent
| | - Jo Vandesompele
- department of Biomolecular Medicine at Ghent University and a group leader at the Cancer Research Institute Ghent
| | - Pieter-Jan Volders
- department of Biomolecular Medicine at Ghent University and at the Flemish Institute for Biotechnology, and a member of the Cancer Research Institute Ghent
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20
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Bejugam PR, Das A, Panda AC. Seeing Is Believing: Visualizing Circular RNAs. Noncoding RNA 2020; 6:E45. [PMID: 33187156 PMCID: PMC7712394 DOI: 10.3390/ncrna6040045] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 11/02/2020] [Accepted: 11/09/2020] [Indexed: 02/07/2023] Open
Abstract
Advancement in the RNA sequencing techniques has discovered hundreds of thousands of circular RNAs (circRNAs) in humans. However, the physiological function of most of the identified circRNAs remains unexplored. Recent studies have established that spliceosomal machinery and RNA-binding proteins modulate circRNA biogenesis. Furthermore, circRNAs have been implicated in regulating crucial cellular processes by interacting with various proteins and microRNAs. However, there are several challenges in understanding the mechanism of circRNA biogenesis, transport, and their interaction with cellular factors to regulate cellular events because of their low abundance and sequence similarity with linear RNA. Addressing these challenges requires systematic studies that directly visualize the circRNAs in cells at single-molecule resolution along with the molecular regulators. In this review, we present the design, benefits, and weaknesses of RNA imaging techniques such as single-molecule RNA fluorescence in situ hybridization and BaseScope in fixed cells and fluorescent RNA aptamers in live-cell imaging of circRNAs. Furthermore, we propose the potential use of molecular beacons, multiply labeled tetravalent RNA imaging probes, and Cas-derived systems to visualize circRNAs.
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Affiliation(s)
- Pruthvi Raj Bejugam
- Institute of Life Sciences, Nalco Square, Bhubaneswar, Odisha 751023, India; (P.R.B.); (A.D.)
| | - Aniruddha Das
- Institute of Life Sciences, Nalco Square, Bhubaneswar, Odisha 751023, India; (P.R.B.); (A.D.)
- School of Biotechnology, KIIT University, Bhubaneswar, Odisha 751024, India
| | - Amaresh Chandra Panda
- Institute of Life Sciences, Nalco Square, Bhubaneswar, Odisha 751023, India; (P.R.B.); (A.D.)
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21
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Mester-Tonczar J, Hašimbegović E, Spannbauer A, Traxler D, Kastner N, Zlabinger K, Einzinger P, Pavo N, Goliasch G, Gyöngyösi M. Circular RNAs in Cardiac Regeneration: Cardiac Cell Proliferation, Differentiation, Survival, and Reprogramming. Front Physiol 2020; 11:580465. [PMID: 33117197 PMCID: PMC7550749 DOI: 10.3389/fphys.2020.580465] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 09/02/2020] [Indexed: 12/11/2022] Open
Abstract
Circular RNAs (circRNAs) are classified as long non-coding RNAs (lncRNAs) that are characterized by a covalent closed-loop structure. This closed-loop shape is the result of a backsplicing event in which the 3' and 5' splice sites are ligated. Through the lack of 3' poly(A) tails and 5' cap structures, circRNAs are more stable than linear RNAs because these adjustments make the circular loop less susceptible to exonucleases. The majority of identified circRNAs possess cell- and tissue-specific expression patterns. In addition, high-throughput RNA-sequencing combined with novel bioinformatics algorithms revealed that circRNA sequences are often conserved across different species suggesting a positive evolutionary pressure. Implicated as regulators of protein turnover, micro RNA (miRNA) sponges, or broad effectors in cell differentiation, proliferation, and senescence, research of circRNA has increased in recent years. Particularly in cardiovascular research, circRNA-related discoveries have opened the door for the development of potential diagnostic and therapeutic tools. Increasing evidence links deviating circRNA expression patterns to various cardiovascular diseases including ischemic heart failure. In this mini-review, we summarize the current state of knowledge on circRNAs in cardiac regeneration with a focus on cardiac cell proliferation, differentiation, cardiomyocyte survival, and cardiac reprogramming.
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Affiliation(s)
- Julia Mester-Tonczar
- Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria
| | - Ena Hašimbegović
- Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria
| | - Andreas Spannbauer
- Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria
| | - Denise Traxler
- Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria
| | - Nina Kastner
- Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria
| | - Katrin Zlabinger
- Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria
| | - Patrick Einzinger
- Research Unit of Information and Software Engineering, Institute of Information Systems Engineering, Vienna University of Technology, Vienna, Austria
| | - Noemi Pavo
- Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria
| | - Georg Goliasch
- Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria
| | - Mariann Gyöngyösi
- Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria
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22
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Li X, Zhang B, Li F, Yu K, Bai Y. The mechanism and detection of alternative splicing events in circular RNAs. PeerJ 2020; 8:e10032. [PMID: 33033662 PMCID: PMC7521338 DOI: 10.7717/peerj.10032] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 09/03/2020] [Indexed: 01/15/2023] Open
Abstract
Circular RNAs (circRNAs) are considered as functional biomolecules with tissue/development-specific expression patterns. Generally, a single gene may generate multiple circRNA variants by alternative splicing, which contain different combinations of exons and/or introns. Due to the low abundance of circRNAs as well as overlapped with their linear counterparts, circRNA enrichment protocol is needed prior to sequencing. Compared with numerous algorithms, which use back-splicing reads for detection and functional characterization of circRNAs, original bioinformatic analyzing tools have been developed to large-scale determination of full-length circRNAs and accurate quantification. This review provides insights into the complexity of circRNA biogenesis and surveys the recent progresses in the experimental and bioinformatic methodologies that focus on accurately full-length circRNAs identification.
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Affiliation(s)
- Xiaohan Li
- State Key Laboratory of Bioelectronics, School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, Jiangsu, China
| | - Bing Zhang
- State Key Laboratory of Bioelectronics, School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, Jiangsu, China
| | - Fuyu Li
- State Key Laboratory of Bioelectronics, School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, Jiangsu, China
| | - Kequan Yu
- State Key Laboratory of Bioelectronics, School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, Jiangsu, China
| | - Yunfei Bai
- State Key Laboratory of Bioelectronics, School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, Jiangsu, China
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23
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Beyond Back Splicing, a Still Poorly Explored World: Non-Canonical Circular RNAs. Genes (Basel) 2020; 11:genes11091111. [PMID: 32972011 PMCID: PMC7565381 DOI: 10.3390/genes11091111] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Revised: 09/20/2020] [Accepted: 09/21/2020] [Indexed: 12/20/2022] Open
Abstract
Most of the circRNAs reported to date originate from back splicing of a pre-mRNA, and these exonic circRNAs are termed canonical circRNAs. Our objective was to provide an overview of all other (non-canonical) circRNAs that do not originate from the junction of two exons and to characterize their common properties. Those generated through a failure of intron lariat debranching are the best known, even though studies on them are rare. These circRNAs retain the 2′–5′ bond derived from the intron lariat, and this feature probably explains the difficulties in obtaining efficient reverse transcription through the circular junction. Here, we provide an unprecedented overview of non-canonical circRNAs (lariat-derived intronic circRNAs, sub-exonic circRNAs, intron circles, tricRNAs), which all derive from non-coding sequences. As there are few data suggesting their involvement in cellular regulatory processes, we believe that it is early to propose a general function for circRNAs, even for lariat-derived circRNAs. We suggest that their small size and probably strong secondary structures could be major obstacles to their reliable detection. Nevertheless, we believe there are still several possible ways to advance our knowledge of this class of non-coding RNA.
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24
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Wang D, Yang J, Fan J, Chen W, Nikolic‐Paterson DJ, Li J. Omics technologies for kidney disease research. Anat Rec (Hoboken) 2020; 303:2729-2742. [PMID: 32592293 DOI: 10.1002/ar.24413] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Revised: 12/31/2019] [Accepted: 02/17/2020] [Indexed: 12/24/2022]
Affiliation(s)
- Dan Wang
- Department of NephrologyThe First Affiliated Hospital, Sun Yat‐sen University Guangzhou China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province Guangzhou China
| | - Jiayi Yang
- Department of NephrologyThe First Affiliated Hospital, Sun Yat‐sen University Guangzhou China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province Guangzhou China
| | - Jinjin Fan
- Department of NephrologyThe First Affiliated Hospital, Sun Yat‐sen University Guangzhou China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province Guangzhou China
| | - Wei Chen
- Department of NephrologyThe First Affiliated Hospital, Sun Yat‐sen University Guangzhou China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province Guangzhou China
| | | | - Jinhua Li
- Department of NephrologyThe First Affiliated Hospital, Sun Yat‐sen University Guangzhou China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province Guangzhou China
- Shunde Women and Children Hospital, Guangdong Medical University Shunde Guangdong China
- The Second Clinical College, Guangdong Medical University Dongguan Guangdong China
- Department of Anatomy and Developmental BiologyMonash Biomedicine Discovery Institute, Monash University Clayton Victoria Australia
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25
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Guria A, Sharma P, Natesan S, Pandi G. Circular RNAs-The Road Less Traveled. Front Mol Biosci 2020; 6:146. [PMID: 31998746 PMCID: PMC6965350 DOI: 10.3389/fmolb.2019.00146] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Accepted: 12/03/2019] [Indexed: 12/20/2022] Open
Abstract
Circular RNAs are the most recent addition in the non-coding RNA family, which has started to gain recognition after a decade of obscurity. The first couple of reports that emerged at the beginning of this decade and the amount of evidence that has accumulated thereafter has, however, encouraged RNA researchers to navigate further in the quest for the exploration of circular RNAs. The joining of 5′ and 3′ ends of RNA molecules through backsplicing forms circular RNAs during co-transcriptional or post-transcriptional processes. These molecules are capable of effectively sponging microRNAs, thereby regulating the cellular processes, as evidenced by numerous animal and plant systems. Preliminary studies have shown that circular RNA has an imperative role in transcriptional regulation and protein translation, and it also has significant therapeutic potential. The high stability of circular RNA is rendered by its closed ends; they are nevertheless prone to degradation by circulating endonucleases in serum or exosomes or by microRNA-mediated cleavage due to their high complementarity. However, the identification of circular RNAs involves diverse methodologies and the delineation of its possible role and mechanism in the regulation of cellular and molecular architecture has provided a new direction for the continuous research into circular RNA. In this review, we discuss the possible mechanism of circular RNA biogenesis, its structure, properties, degradation, and the growing amount of evidence regarding the detection methods and its role in animal and plant systems.
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Affiliation(s)
- Ashirbad Guria
- Department of Plant Biotechnology, School of Biotechnology, Madurai Kamaraj University, Madurai, India
| | - Priyanka Sharma
- Department of Genetic Engineering, School of Biotechnology, Madurai Kamaraj University, Madurai, India
| | - Sankar Natesan
- Department of Genetic Engineering, School of Biotechnology, Madurai Kamaraj University, Madurai, India
| | - Gopal Pandi
- Department of Plant Biotechnology, School of Biotechnology, Madurai Kamaraj University, Madurai, India
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