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Zhao H, Tan Z, Zhou J, Wu Y, Hu Q, Ling Q, Ling J, Liu M, Ma J, Zhang D, Wang Y, Zhang J, Yu P, Jiang Y, Liu X. The regulation of circRNA and lncRNAprotein binding in cardiovascular diseases: Emerging therapeutic targets. Biomed Pharmacother 2023; 165:115067. [PMID: 37392655 DOI: 10.1016/j.biopha.2023.115067] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 06/18/2023] [Accepted: 06/23/2023] [Indexed: 07/03/2023] Open
Abstract
Noncoding ribonucleic acids (ncRNAs) are a class of ribonucleic acids (RNAs) that carry cellular information and perform essential functions. This class encompasses various RNAs, such as small nuclear ribonucleic acids (snRNA), small interfering ribonucleic acids (siRNA) and many other kinds of RNA. Of these, circular ribonucleic acids (circRNAs) and long noncoding ribonucleic acids (lncRNAs) are two types of ncRNAs that regulate crucial physiological and pathological processes, including binding, in several organs through interactions with other RNAs or proteins. Recent studies indicate that these RNAs interact with various proteins, including protein 53, nuclear factor-kappa B, vascular endothelial growth factor, and fused in sarcoma/translocated in liposarcoma, to regulate both the histological and electrophysiological aspects of cardiac development as well as cardiovascular pathogenesis, ultimately leading to a variety of genetic heart diseases, coronary heart disease, myocardial infarction, rheumatic heart disease and cardiomyopathies. This paper presents a thorough review of recent studies on circRNA and lncRNAprotein binding within cardiac and vascular cells. It offers insight into the molecular mechanisms involved and emphasizes potential implications for treating cardiovascular diseases.
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Affiliation(s)
- Huilei Zhao
- Department of Anesthesiology, The Third Hospital of Nanchang, Nanchang, Jiangxi, China
| | - Ziqi Tan
- Department of Endocrinology, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Jin Zhou
- Department of Endocrinology, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Yifan Wu
- Department of Endocrinology, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Qingwen Hu
- Department of Endocrinology, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Qing Ling
- Department of Endocrinology, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Jitao Ling
- Department of Endocrinology, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Menglu Liu
- Department of Cardiology, Seventh People's Hospital of Zhengzhou, Zhengzhou, Henan, China
| | - Jianyong Ma
- Department of Pharmacology and Systems Physiology University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Deju Zhang
- Food and Nutritional Sciences, School of Biological Sciences, The University of Hong Kong, Hong Kong, China
| | - Yue Wang
- Department of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China; Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, Guangdong, China
| | - Jing Zhang
- Department of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Peng Yu
- Department of Endocrinology, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
| | - Yuan Jiang
- Department of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China; Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, Guangdong, China; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangzhou, China.
| | - Xiao Liu
- Department of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China; Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, Guangdong, China; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangzhou, China.
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Gabryelska MM, Conn SJ. The RNA interactome in the Hallmarks of Cancer. Wiley Interdiscip Rev RNA 2023; 14:e1786. [PMID: 37042179 PMCID: PMC10909452 DOI: 10.1002/wrna.1786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 03/12/2023] [Accepted: 03/20/2023] [Indexed: 04/13/2023]
Abstract
Ribonucleic acid (RNA) molecules are indispensable for cellular homeostasis in healthy and malignant cells. However, the functions of RNA extend well beyond that of a protein-coding template. Rather, both coding and non-coding RNA molecules function through critical interactions with a plethora of cellular molecules, including other RNAs, DNA, and proteins. Deconvoluting this RNA interactome, including the interacting partners, the nature of the interaction, and dynamic changes of these interactions in malignancies has yielded fundamental advances in knowledge and are emerging as a novel therapeutic strategy in cancer. Here, we present an RNA-centric review of recent advances in the field of RNA-RNA, RNA-protein, and RNA-DNA interactomic network analysis and their impact across the Hallmarks of Cancer. This article is categorized under: RNA in Disease and Development > RNA in Disease RNA Interactions with Proteins and Other Molecules > RNA-Protein Complexes.
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Affiliation(s)
- Marta M Gabryelska
- Flinders Health and Medical Research Institute (FHMRI), College of Medicine and Public Health, Flinders University, Bedford Park, South Australia, Australia
| | - Simon J Conn
- Flinders Health and Medical Research Institute (FHMRI), College of Medicine and Public Health, Flinders University, Bedford Park, South Australia, Australia
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Hollar A, Bursey H, Jabbari H. Pseudoknots in RNA Structure Prediction. Curr Protoc 2023; 3:e661. [PMID: 36779804 DOI: 10.1002/cpz1.661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/14/2023]
Abstract
RNA molecules play active roles in the cell and are important for numerous applications in biotechnology and medicine. The function of an RNA molecule stems from its structure. RNA structure determination is time consuming, challenging, and expensive using experimental methods. Thus, much research has been directed at RNA structure prediction through computational means. Many of these methods focus primarily on the secondary structure of the molecule, ignoring the possibility of pseudoknotted structures. However, pseudoknots are known to play functional roles in many RNA molecules or in their method of interaction with other molecules. Improving the accuracy and efficiency of computational methods that predict pseudoknots is an ongoing challenge for single RNA molecules, RNA-RNA interactions, and RNA-protein interactions. To improve the accuracy of prediction, many methods focus on specific applications while restricting the length and the class of the pseudoknotted structures they can identify. In recent years, computational methods for structure prediction have begun to catch up with the impressive developments seen in biotechnology. Here, we provide a non-comprehensive overview of available pseudoknot prediction methods and their best-use cases. © 2023 Wiley Periodicals LLC.
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Affiliation(s)
- Andrew Hollar
- Department of Computer Science, University of Victoria, Victoria, Canada
| | - Hunter Bursey
- Department of Computer Science, University of Victoria, Victoria, Canada
| | - Hosna Jabbari
- Department of Computer Science, University of Victoria, Victoria, Canada
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Garratt H, Ashburn R, Sopić M, Nogara A, Caporali A, Mitić T. Long Non-Coding RNA Regulation of Epigenetics in Vascular Cells. Noncoding RNA 2021; 7:62. [PMID: 34698214 DOI: 10.3390/ncrna7040062] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 09/02/2021] [Accepted: 09/14/2021] [Indexed: 01/16/2023] Open
Abstract
The vascular endothelium comprises the interface between the circulation and the vessel wall and, as such, is under the dynamic regulation of vascular signalling, nutrients, and hypoxia. Understanding the molecular drivers behind endothelial cell (EC) and vascular smooth muscle cell (VSMC) function and dysfunction remains a pivotal task for further clinical progress in tackling vascular disease. A newly emerging era in vascular biology with landmark deep sequencing approaches has provided us with the means to profile diverse layers of transcriptional regulation at a single cell, chromatin, and epigenetic level. This review describes the roles of major vascular long non-coding RNA (lncRNAs) in the epigenetic regulation of EC and VSMC function and discusses the recent progress in their discovery, detection, and functional characterisation. We summarise new findings regarding lncRNA-mediated epigenetic mechanisms—often regulated by hypoxia—within the vascular endothelium and smooth muscle to control vascular homeostasis in health and disease. Furthermore, we outline novel molecular techniques being used in the field to delineate the lncRNA subcellular localisation and interaction with proteins to unravel their biological roles in the epigenetic regulation of vascular genes.
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Romaniuk PJ. Measuring Equilibrium Binding Constants for the WT1-DNA Interaction Using a Filter Binding Assay. Methods Mol Biol 2016; 1467:155-176. [PMID: 27417968 DOI: 10.1007/978-1-4939-4023-3_14] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Equilibrium binding of WT1 to specific sites in DNA and potentially RNA molecules is central in mediating the regulatory roles of this protein. In order to understand the functional effects of mutations in the nucleic acid-binding domain of WT1 proteins and/or mutations in the DNA- or RNA-binding sites, it is necessary to measure the equilibrium constant for formation of the protein-nucleic acid complex. This chapter describes the use of a filter binding assay to make accurate measurements of the binding of the WT1 zinc finger domain to the consensus WT1-binding site in DNA. The method described is readily adapted to the measurement of the effects of mutations in either the WT1 zinc finger domain or the putative binding sites within a promoter element or cellular RNA.
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Affiliation(s)
- Paul J Romaniuk
- Department of Biochemistry and Microbiology, University of Victoria, 3800 Finnerty Road, Victoria, BC, Canada, V8P 5C2.
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