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Kong FS, Feng J, Yao JP, Lu Y, Guo T, Sun M, Ren CY, Jin YY, Ma Y, Chen JH. Dysregulated RNA editing of EIF2AK2 in polycystic ovary syndrome: clinical relevance and functional implications. BMC Med 2024; 22:229. [PMID: 38853264 PMCID: PMC11163819 DOI: 10.1186/s12916-024-03434-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Accepted: 05/21/2024] [Indexed: 06/11/2024] Open
Abstract
BACKGROUND Polycystic ovary syndrome (PCOS) is a prevalent endocrine disorder affecting women of reproductive ages. Our previous study has implicated a possible link between RNA editing and PCOS, yet the actual role of RNA editing, its association with clinical features, and the underlying mechanisms remain unclear. METHODS Ten RNA-Seq datasets containing 269 samples of multiple tissue types, including granulosa cells, T helper cells, placenta, oocyte, endometrial stromal cells, endometrium, and adipose tissues, were retrieved from public databases. Peripheral blood samples were collected from twelve PCOS and ten controls and subjected to RNA-Seq. Transcriptome-wide RNA-Seq data analysis was conducted to identify differential RNA editing (DRE) between PCOS and controls. The functional significance of DRE was evaluated by luciferase reporter assays and overexpression in human HEK293T cells. Dehydroepiandrosterone and lipopolysaccharide were used to stimulate human KGN granulosa cells to evaluate gene expression. RESULTS RNA editing dysregulations across multiple tissues were found to be associated with PCOS in public datasets. Peripheral blood transcriptome analysis revealed 798 DRE events associated with PCOS. Through weighted gene co-expression network analysis, our results revealed a set of hub DRE events in PCOS blood. A DRE event in the eukaryotic translation initiation factor 2-alpha kinase 2 (EIF2AK2:chr2:37,100,559) was associated with PCOS clinical features such as luteinizing hormone (LH) and the ratio of LH over follicle-stimulating hormone. Luciferase assays, overexpression, and knockout of RNA editing enzyme adenosine deaminase RNA specific (ADAR) showed that the ADAR-mediated editing cis-regulated EIF2AK2 expression. EIAF2AK2 showed a higher expression after dehydroepiandrosterone and lipopolysaccharide stimulation, triggering changes in the downstrean MAPK pathway. CONCLUSIONS Our study presented the first evidence of cross-tissue RNA editing dysregulation in PCOS and its clinical associations. The dysregulation of RNA editing mediated by ADAR and the disrupted target EIF2AK2 may contribute to PCOS development via the MPAK pathway, underlining such epigenetic mechanisms in the disease.
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Affiliation(s)
- Fan-Sheng Kong
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China
- Department of Pediatrics, Affiliated Hospital of Jiangnan University, Wuxi, 214122, Jiangsu, China
| | - Junjie Feng
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China
| | - Jin-Ping Yao
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China
| | - Yinghua Lu
- Department of Reproductive Medicine, Affiliated Hospital of Jiangnan University, Wuxi, 214122, Jiangsu, China
| | - Tao Guo
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China
| | - Meng Sun
- Department of Reproductive Medicine, Affiliated Hospital of Jiangnan University, Wuxi, 214122, Jiangsu, China
| | - Chun-Yan Ren
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China
| | - Yun-Yun Jin
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China
- Joint Primate Research Center for Chronic Diseases, Institute of Zoology of Guangdong Academy of Science, Jiangnan University, Wuxi, Jiangsu, China
- Jiangnan University Brain Institute, Wuxi, Jiangsu, China
| | - Yaping Ma
- Department of Pediatrics, Affiliated Hospital of Jiangnan University, Wuxi, 214122, Jiangsu, China.
| | - Jian-Huan Chen
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China.
- Joint Primate Research Center for Chronic Diseases, Institute of Zoology of Guangdong Academy of Science, Jiangnan University, Wuxi, Jiangsu, China.
- Jiangnan University Brain Institute, Wuxi, Jiangsu, China.
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Van Norden M, Falls Z, Mandloi S, Segal BH, Baysal BE, Samudrala R, Elkin PL. The implications of APOBEC3-mediated C-to-U RNA editing for human disease. Commun Biol 2024; 7:529. [PMID: 38704509 PMCID: PMC11069577 DOI: 10.1038/s42003-024-06239-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 04/24/2024] [Indexed: 05/06/2024] Open
Abstract
Intra-organism biodiversity is thought to arise from epigenetic modification of constituent genes and post-translational modifications of translated proteins. Here, we show that post-transcriptional modifications, like RNA editing, may also contribute. RNA editing enzymes APOBEC3A and APOBEC3G catalyze the deamination of cytosine to uracil. RNAsee (RNA site editing evaluation) is a computational tool developed to predict the cytosines edited by these enzymes. We find that 4.5% of non-synonymous DNA single nucleotide polymorphisms that result in cytosine to uracil changes in RNA are probable sites for APOBEC3A/G RNA editing; the variant proteins created by such polymorphisms may also result from transient RNA editing. These polymorphisms are associated with over 20% of Medical Subject Headings across ten categories of disease, including nutritional and metabolic, neoplastic, cardiovascular, and nervous system diseases. Because RNA editing is transient and not organism-wide, future work is necessary to confirm the extent and effects of such editing in humans.
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Affiliation(s)
- Melissa Van Norden
- Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Zackary Falls
- Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Sapan Mandloi
- Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Brahm H Segal
- Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
- Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Bora E Baysal
- Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Ram Samudrala
- Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Peter L Elkin
- Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.
- Department of Veterans Affairs, VA Western New York Healthcare System, Buffalo, NY, USA.
- Faculty of Engineering, University of Southern Denmark, Odense, Denmark.
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3
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Li J, Fan G, Sakari M, Tsukahara T. Improvement of C-to-U RNA editing using an artificial MS2-APOBEC system. Biotechnol J 2024; 19:e2300321. [PMID: 38010373 DOI: 10.1002/biot.202300321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 11/20/2023] [Accepted: 11/22/2023] [Indexed: 11/29/2023]
Abstract
RNA cytidine deamination (C-to-U editing) has been achieved using the MS2-apolipoprotein B-editing catalytic polypeptide-like (APOBEC)1 editing system. Here, we fused the cytidine deaminase (CDA) enzymes APOBEC3A and APOBEC3G with the MS2 system and examined their RNA editing efficiencies in transfected HEK 293T cells. Given the single-stranded RNA preferences of APOBEC3A and APOBEC3G, we designed unconventional guide RNAs that induced a loop at the target sequence, allowing the target to form a single-stranded structure. Because APOBEC3A and APOBEC3G have different base preferences (5'-TC and 5'-CC, respectively), we introduced the D317W mutation into APOBEC3G to convert its base preference to that of APOBEC3A. Upon co-transfection with a guide RNA that induced the formation of a 14 nt loop on the target sequence, MS2-fused APOBEC3A and APOBEC3G showed high editing efficiency. While the D317W mutation of APOBEC3G led to a slight improvement in editing efficiency, the difference was not statistically significant. These findings indicate that APOBEC3A and APOBEC3G can induce C-to-U RNA editing when transfected with a loop guide RNA. Moreover, the editing efficiency of APOBEC3G can be enhanced by site-specific mutation to alter the base preference. Overall, our results demonstrate that the MS2 system can fuse and catalyze reactions with different enzymes, suggesting that it holds an even greater potential for RNA editing than is utilized currently.
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Affiliation(s)
- Jiarui Li
- Bioscience, Biotechnology and Biomedical Engineering Research Area, Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan
| | - Guangyao Fan
- Bioscience, Biotechnology and Biomedical Engineering Research Area, Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan
- School of Medicine, Shaoxing University, Shaoxing, China
| | - Matomo Sakari
- Bioscience, Biotechnology and Biomedical Engineering Research Area, Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan
| | - Toshifumi Tsukahara
- Bioscience, Biotechnology and Biomedical Engineering Research Area, Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan
- GeCoRT Co. Ltd., Nishi-ku, Yokohama, Japan
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Barbagallo C, Stella M, Ferrara C, Caponnetto A, Battaglia R, Barbagallo D, Di Pietro C, Ragusa M. RNA-RNA competitive interactions: a molecular civil war ruling cell physiology and diseases. EXPLORATION OF MEDICINE 2023:504-540. [DOI: 10.37349/emed.2023.00159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 06/02/2023] [Indexed: 09/02/2023] Open
Abstract
The idea that proteins are the main determining factors in the functioning of cells and organisms, and their dysfunctions are the first cause of pathologies, has been predominant in biology and biomedicine until recently. This protein-centered view was too simplistic and failed to explain the physiological and pathological complexity of the cell. About 80% of the human genome is dynamically and pervasively transcribed, mostly as non-protein-coding RNAs (ncRNAs), which competitively interact with each other and with coding RNAs generating a complex RNA network regulating RNA processing, stability, and translation and, accordingly, fine-tuning the gene expression of the cells. Qualitative and quantitative dysregulations of RNA-RNA interaction networks are strongly involved in the onset and progression of many pathologies, including cancers and degenerative diseases. This review will summarize the RNA species involved in the competitive endogenous RNA network, their mechanisms of action, and involvement in pathological phenotypes. Moreover, it will give an overview of the most advanced experimental and computational methods to dissect and rebuild RNA networks.
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Affiliation(s)
- Cristina Barbagallo
- Section of Biology and Genetics, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy
| | - Michele Stella
- Section of Biology and Genetics, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy
| | | | - Angela Caponnetto
- Section of Biology and Genetics, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy
| | - Rosalia Battaglia
- Section of Biology and Genetics, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy
| | - Davide Barbagallo
- Section of Biology and Genetics, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy
| | - Cinzia Di Pietro
- Section of Biology and Genetics, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy
| | - Marco Ragusa
- Section of Biology and Genetics, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy
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Van Norden M, Falls Z, Mandloi S, Segal B, Baysal B, Samudrala R, Elkin PL. The Role of C-to-U RNA Editing in Human Biodiversity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.31.550344. [PMID: 37577456 PMCID: PMC10418052 DOI: 10.1101/2023.07.31.550344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Intra-organism biodiversity is thought to arise from epigenetic modification of our constituent genes and post-translational modifications after mRNA is translated into proteins. We have found that post-transcriptional modification, also known as RNA editing, is also responsible for a significant amount of our biodiversity, substantively expanding this story. The APOBEC (apolipoprotein B mRNA editing catalytic polypeptide-like) family RNA editing enzymes APOBEC3A and APOBEC3G catalyze the deamination of cytosines to uracils (C>U) in specific stem-loop structures.1,2 We used RNAsee (RNA site editing evaluation), a tool developed to predict the locations of APOBEC3A/G RNA editing sites, to determine whether known single nucleotide polymorphisms (SNPs) in DNA could be replicated in RNA via RNA editing. About 4.5% of non-synonymous SNPs which result in C>U changes in RNA, and about 5.4% of such SNPs labelled as pathogenic, were identified as probable sites for APOBEC3A/G editing. This suggests that the variant proteins created by these DNA mutations may also be created by transient RNA editing, with the potential to affect human health. Those SNPs identified as potential APOBEC3A/G-mediated RNA editing sites were disproportionately associated with cardiovascular diseases, digestive system diseases, and musculoskeletal diseases. Future work should focus on common sites of RNA editing, any variant proteins created by these RNA editing sites, and the effects of these variants on protein diversity and human health. Classically, our biodiversity is thought to come from our constitutive genetics, epigenetic phenomenon, transcriptional differences, and post-translational modification of proteins. Here, we have shown evidence that RNA editing, often stimulated by environmental factors, could account for a significant degree of the protein biodiversity leading to human disease. In an era where worries about our changing environment are ever increasing, from the warming of our climate to the emergence of new diseases to the infiltration of microplastics and pollutants into our bodies, understanding how environmentally sensitive mechanisms like RNA editing affect our own cells is essential.
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Affiliation(s)
- Melissa Van Norden
- Department of Biomedical Informatics, University at Buffalo, Buffalo, NY, USA
| | - Zackary Falls
- Department of Biomedical Informatics, University at Buffalo, Buffalo, NY, USA
| | - Sapan Mandloi
- Department of Biomedical Informatics, University at Buffalo, Buffalo, NY, USA
| | - Brahm Segal
- Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY, USA
- Roswell Park Cancer Center
| | | | - Ram Samudrala
- Department of Biomedical Informatics, University at Buffalo, Buffalo, NY, USA
| | - Peter L Elkin
- Department of Biomedical Informatics, University at Buffalo, Buffalo, NY, USA
- Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY, USA
- Department of Veterans Affairs, VA Western New York Healthcare System, Buffalo, NY, USA
- Faculty of Engineering, University of Southern Denmark
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Wei ZY, Wang ZX, Li JH, Wen YS, Gao D, Xia SY, Li YN, Pan XB, Liu YS, Jin YY, Chen JH. Host A-to-I RNA editing signatures in intracellular bacterial and single-strand RNA viral infections. Front Immunol 2023; 14:1121096. [PMID: 37081881 PMCID: PMC10112020 DOI: 10.3389/fimmu.2023.1121096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 03/13/2023] [Indexed: 04/07/2023] Open
Abstract
BackgroundMicrobial infection is accompanied by remodeling of the host transcriptome. Involvement of A-to-I RNA editing has been reported during viral infection but remains to be elucidated during intracellular bacterial infections.ResultsHerein we analyzed A-to-I RNA editing during intracellular bacterial infections based on 18 RNA-Seq datasets of 210 mouse samples involving 7 tissue types and 8 intracellular bacterial pathogens (IBPs), and identified a consensus signature of RNA editing for IBP infections, mainly involving neutrophil-mediated innate immunity and lipid metabolism. Further comparison of host RNA editing patterns revealed remarkable similarities between pneumonia caused by IBPs and single-strand RNA (ssRNA) viruses, such as altered editing enzyme expression, editing site numbers, and levels. In addition, functional enrichment analysis of genes with RNA editing highlighted that the Rab GTPase family played a common and vital role in the host immune response to IBP and ssRNA viral infections, which was indicated by the consistent up-regulated RNA editing of Ras-related protein Rab27a. Nevertheless, dramatic differences between IBP and viral infections were also observed, and clearly distinguished the two types of intracellular infections.ConclusionOur study showed transcriptome-wide host A-to-I RNA editing alteration during IBP and ssRNA viral infections. By identifying and comparing consensus signatures of host A-to-I RNA editing, our analysis implicates the importance of host A-to-I RNA editing during these infections and provides new insights into the diagnosis and treatment of infectious diseases.
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Affiliation(s)
- Zhi-Yuan Wei
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China
- Joint Primate Research Center for Chronic Diseases, Institute of Zoology of Guangdong Academy of Science, Jiangnan University, Wuxi, Jiangsu, China
- Jiangnan University Brain Institute, Wuxi, Jiangsu, China
| | - Zhi-Xin Wang
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China
- Joint Primate Research Center for Chronic Diseases, Institute of Zoology of Guangdong Academy of Science, Jiangnan University, Wuxi, Jiangsu, China
- Jiangnan University Brain Institute, Wuxi, Jiangsu, China
| | - Jia-Huan Li
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China
- Joint Primate Research Center for Chronic Diseases, Institute of Zoology of Guangdong Academy of Science, Jiangnan University, Wuxi, Jiangsu, China
- Jiangnan University Brain Institute, Wuxi, Jiangsu, China
| | - Yan-Shuo Wen
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China
- Joint Primate Research Center for Chronic Diseases, Institute of Zoology of Guangdong Academy of Science, Jiangnan University, Wuxi, Jiangsu, China
- Jiangnan University Brain Institute, Wuxi, Jiangsu, China
| | - Di Gao
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China
- Joint Primate Research Center for Chronic Diseases, Institute of Zoology of Guangdong Academy of Science, Jiangnan University, Wuxi, Jiangsu, China
- Jiangnan University Brain Institute, Wuxi, Jiangsu, China
| | - Shou-Yue Xia
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China
- Joint Primate Research Center for Chronic Diseases, Institute of Zoology of Guangdong Academy of Science, Jiangnan University, Wuxi, Jiangsu, China
- Jiangnan University Brain Institute, Wuxi, Jiangsu, China
| | - Yu-Ning Li
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China
- Joint Primate Research Center for Chronic Diseases, Institute of Zoology of Guangdong Academy of Science, Jiangnan University, Wuxi, Jiangsu, China
- Jiangnan University Brain Institute, Wuxi, Jiangsu, China
| | - Xu-Bin Pan
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China
- Joint Primate Research Center for Chronic Diseases, Institute of Zoology of Guangdong Academy of Science, Jiangnan University, Wuxi, Jiangsu, China
- Jiangnan University Brain Institute, Wuxi, Jiangsu, China
| | - Yan-Shan Liu
- Department of Pediatric Laboratory, Wuxi Children’s Hospital, Wuxi, Jiangsu, China
| | - Yun-Yun Jin
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China
- Joint Primate Research Center for Chronic Diseases, Institute of Zoology of Guangdong Academy of Science, Jiangnan University, Wuxi, Jiangsu, China
- Jiangnan University Brain Institute, Wuxi, Jiangsu, China
- *Correspondence: Jian-Huan Chen, ; Yun-Yun Jin,
| | - Jian-Huan Chen
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China
- Joint Primate Research Center for Chronic Diseases, Institute of Zoology of Guangdong Academy of Science, Jiangnan University, Wuxi, Jiangsu, China
- Jiangnan University Brain Institute, Wuxi, Jiangsu, China
- *Correspondence: Jian-Huan Chen, ; Yun-Yun Jin,
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Genome-wide investigation and functional analysis of RNA editing sites in wheat. PLoS One 2022; 17:e0265270. [PMID: 35275970 PMCID: PMC8916659 DOI: 10.1371/journal.pone.0265270] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 02/25/2022] [Indexed: 12/14/2022] Open
Abstract
Wheat is an important cereal and half of the world population consumed it. Wheat faces environmental stresses and different techniques (CRISPR, gene silencing, GWAS, etc.) were used to enhance its production but RNA editing (RESs) is not fully explored in wheat. RNA editing has a special role in controlling environmental stresses. The genome-wide identification and functional characterization of RESs in different types of wheat genotypes was done. We employed six wheat genotypes by RNA-seq analyses to achieve RESs. The findings revealed that RNA editing events occurred on all chromosomes equally. RNA editing sites were distributed randomly and 10–12 types of RESs were detected in wheat genotypes. Higher number of RESs were detected in drought-tolerant genotypes. A-to-I RNA editing (2952, 2977, 1916, 2576, 3422, and 3459) sites were also identified in six wheat genotypes. Most of the genes were found to be engaged in molecular processes after a Gene Ontology analysis. PPR (pentatricopeptide repeat), OZ1 (organelle zinc-finger), and MORF/RIP gene expression levels in wheat were also examined. Normal growth conditions diverge gene expression of these three different gene families, implying that normal growth conditions for various genotypes can modify RNA editing events and have an impact on gene expression levels. While the expression of PPR genes was not change. We used Variant Effect Predictor (VEP) to annotate RNA editing sites, and Local White had the highest RESs in the CDS region of the protein. These findings will be useful for prediction of RESs in other crops and will be helpful in drought tolerance development in wheat.
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Adetula AA, Fan X, Zhang Y, Yao Y, Yan J, Chen M, Tang Y, Liu Y, Yi G, Li K, Tang Z. Landscape of tissue-specific RNA Editome provides insight into co-regulated and altered gene expression in pigs ( Sus-scrofa). RNA Biol 2021; 18:439-450. [PMID: 34314293 PMCID: PMC8677025 DOI: 10.1080/15476286.2021.1954380] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 07/02/2021] [Accepted: 07/07/2021] [Indexed: 11/08/2022] Open
Abstract
RNA editing generates genetic diversity in mammals by altering amino acid sequences, miRNA targeting site sequences, influencing the stability of targeted RNAs, and causing changes in gene expression. However, the extent to which RNA editing affect gene expression via modifying miRNA binding site remains unexplored. Here, we first profiled the dynamic A-to-I RNA editome across tissues of Duroc and Luchuan pigs. The RNA editing events at the miRNA binding sites were generated. The biological function of the differentially edited gene in skeletal muscle was further characterized in pig muscle-derived satellite cells. RNA editome analysis revealed a total of 171,909 A-to-I RNA editing sites (RESs), and examination of its features showed that these A-to-I editing sites were mainly located in SINE retrotransposons PRE-1/Pre0_SS element. Analysis of differentially edited sites (DESs) revealed a total of 4,552 DESs across tissues between Duroc and Luchuan pigs, and functional category enrichment analysis of differentially edited gene (DEG) sets highlighted a significant association and enrichment of tissue-developmental pathways including TGF-beta, PI3K-Akt, AMPK, and Wnt signaling pathways. Moreover, we found that RNA editing events at the miRNA binding sites in the 3'-UTR of HSPA12B mRNA could prevent the miRNA-mediated mRNA downregulation of HSPA12B in the muscle-derived satellite (MDS) cell, consistent with the results obtained from the Luchuan skeletal muscle. This study represents the most systematic attempt to characterize the significance of RNA editing in regulating gene expression, particularly in skeletal muscle, constituting a new layer of regulation to understand the genetic mechanisms behind phenotype variance in animals.Abbreviations: A-to-I: Adenosine-to-inosine; ADAR: Adenosine deaminase acting on RNA; RES: RNA editing site; DEG: Differentially edited gene; DES: Differentially edited site; FDR: False discovery rate; GO: Gene Ontology; KEGG: Kyoto Encyclopaedia of Genes and Genomes; MDS cell: musclederived satellite cell; RPKM: Reads per kilobase of exon model in a gene per million mapped reads; UTR: Untranslated coding regions.
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Affiliation(s)
- Adeyinka A. Adetula
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
- Group of Pig Genome and Design Breeding, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Xinhao Fan
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Group of Pig Genome and Design Breeding, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Yongsheng Zhang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Group of Pig Genome and Design Breeding, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Yilong Yao
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Group of Pig Genome and Design Breeding, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Junyu Yan
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Group of Pig Genome and Design Breeding, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Muya Chen
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Group of Pig Genome and Design Breeding, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Yijie Tang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Group of Pig Genome and Design Breeding, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Yuwen Liu
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Group of Pig Genome and Design Breeding, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Kunpeng Institute of Modern Agriculture at Foshan, Foshan, China
- GuangXi Engineering Centre for Resource Development of Bama Xiang Pig, Bama, China
| | - Guoqiang Yi
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Group of Pig Genome and Design Breeding, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Kunpeng Institute of Modern Agriculture at Foshan, Foshan, China
- GuangXi Engineering Centre for Resource Development of Bama Xiang Pig, Bama, China
| | - Kui Li
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zhonglin Tang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
- Group of Pig Genome and Design Breeding, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Kunpeng Institute of Modern Agriculture at Foshan, Foshan, China
- GuangXi Engineering Centre for Resource Development of Bama Xiang Pig, Bama, China
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9
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Huang J, Zhang Y, Ma Q, Zhang Y, Wang M, Zhou Y, Xing Z, Jin M, Hu L, Kong X. Natural Selection on Exonic SNPs Shapes Allelic Expression Imbalance (AEI) Adaptability in Lung Cancer Progression. Front Genet 2020; 11:665. [PMID: 32670357 PMCID: PMC7327089 DOI: 10.3389/fgene.2020.00665] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Accepted: 06/01/2020] [Indexed: 01/28/2023] Open
Abstract
Tumors are driven by a sequence of genetic and epigenetic alterations. Previous studies have mostly focused on the roles of somatic mutations in tumorigenesis, but how germline variants act is largely unknown. In this study, we hypothesized that allelic expression imbalance (AEI) participated in the process of germline variants on tumorigenesis. We screened single-nucleotide polymorphisms (SNPs) as representative germline variants. By using 127 patients’ RNA sequencing data from paired lung cancer and adjacent normal tissues from public databases, we analyzed the effects of the functional consequence of SNPs, function and conservativeness on genes with AEI. We found that natural selection can affect AEI. Functional adaptability of genes with a high frequency of AEI and a correlation of the incidence of AEI with conservativeness were observed in both adjacent tissues and tumor tissues. Moreover, we observed a higher incidence of AEI in genes with non-synonymous SNPs than in those with synonymous SNPs. However, we also found that AEI was affected by allele expression noise, especially in tumor tissues, which led to an increased proportion of AEI, weakened the effect of natural selection and eliminated the influence of the functional consequence of SNPs on AEI. We unveiled a previously unknown adaptive regulatory mechanism in which the effect of natural selection on SNPs can be reflected in allelic expression, which provides insight into a better understanding of cancer evolution.
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Affiliation(s)
- Jinfei Huang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yuchao Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Qingyang Ma
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yuhang Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Meng Wang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - You Zhou
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Zhihao Xing
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Meiling Jin
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Landian Hu
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Xiangyin Kong
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
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10
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Li T, Li Q, Li H, Xiao X, Ahmad Warraich D, Zhang N, Chen Z, Hou J, Liu T, Weng X, Liu Z, Hua J, Liao M. Pig-specific RNA editing during early embryo development revealed by genome-wide comparisons. FEBS Open Bio 2020; 10:1389-1402. [PMID: 32433824 PMCID: PMC7327910 DOI: 10.1002/2211-5463.12900] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2020] [Accepted: 05/15/2020] [Indexed: 12/19/2022] Open
Abstract
Posttranscriptional modification of mRNA sequences through RNA editing can increase transcriptome and proteome diversity in eukaryotes. Studies of fetal and adult tissues showed that adenosine‐to‐inosine RNA editing plays a crucial role in early human development, but there is a lack of global understanding of dynamic RNA editing during mammalian early embryonic development. Therefore, here we used RNA sequencing data from human, pig and mouse during early embryonic development to detect edited genes that may regulate stem cell pluripotency. We observed that although most of the RNA editing sites are located in intergenic, intron and UTR, a few editing sites are in coding regions and may result in nonsynonymous amino acid changes. Some editing sites are predicted to change the structure of a protein. We also report that HNF1A, TBX3, ACLY, ECI1 and ERDR1 are related to embryonic development and cell division.
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Affiliation(s)
- Tongtong Li
- College of Life Sciences, Northwest A&F University, Yangling, China
| | - Qun Li
- College of Life Sciences, Northwest A&F University, Yangling, China
| | - Hao Li
- College of Life Sciences, Northwest A&F University, Yangling, China
| | - Xia Xiao
- College of Life Sciences, Northwest A&F University, Yangling, China
| | | | - Ning Zhang
- College of Life Sciences, Northwest A&F University, Yangling, China
| | - Ziyun Chen
- College of Life Sciences, Northwest A&F University, Yangling, China
| | - Junyao Hou
- College of Life Sciences, Northwest A&F University, Yangling, China
| | - Tong Liu
- Chinese Academy of Sciences Center for Excellence in Molecular Plant Sciences, Shanghai Center for Plant Stress Biology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Xiaogang Weng
- Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University, Harbin, China
| | - Zhonghua Liu
- Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University, Harbin, China
| | - Jinlian Hua
- College of Veterinary Medicine, Shaanxi Centre of Stem Cells Engineering & Technology, Northwest A&F University, Yangling, China
| | - Mingzhi Liao
- College of Life Sciences, Northwest A&F University, Yangling, China
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11
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Ahmad A, Shatabda S. EPAI-NC: Enhanced prediction of adenosine to inosine RNA editing sites using nucleotide compositions. Anal Biochem 2019; 569:16-21. [DOI: 10.1016/j.ab.2019.01.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Revised: 01/03/2019] [Accepted: 01/11/2019] [Indexed: 01/24/2023]
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12
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Leong WM, Ripen AM, Mirsafian H, Mohamad SB, Merican AF. Transcriptogenomics identification and characterization of RNA editing sites in human primary monocytes using high-depth next generation sequencing data. Genomics 2018; 111:899-905. [PMID: 29885984 DOI: 10.1016/j.ygeno.2018.05.019] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Revised: 05/23/2018] [Accepted: 05/25/2018] [Indexed: 02/06/2023]
Abstract
High-depth next generation sequencing data provide valuable insights into the number and distribution of RNA editing events. Here, we report the RNA editing events at cellular level of human primary monocyte using high-depth whole genomic and transcriptomic sequencing data. We identified over a ten thousand putative RNA editing sites and 69% of the sites were A-to-I editing sites. The sites enriched in repetitive sequences and intronic regions. High-depth sequencing datasets revealed that 90% of the canonical sites were edited at lower frequencies (<0.7). Single and multiple human monocytes and brain tissues samples were analyzed through genome sequence independent approach. The later approach was observed to identify more editing sites. Monocytes was observed to contain more C-to-U editing sites compared to brain tissues. Our results establish comparable pipeline that can address current limitations as well as demonstrate the potential for highly sensitive detection of RNA editing events in single cell type.
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Affiliation(s)
- Wai-Mun Leong
- Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - Adiratna Mat Ripen
- Allergy and Immunology Research Centre, Institute for Medical Research, 50588 Kuala Lumpur, Malaysia
| | - Hoda Mirsafian
- Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Malaysia; Centre of Research for Computational Sciences and Informatics in Biology, Bio11 Industry, Environment, Agriculture and Healthcare (CRYSTAL), University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - Saharuddin Bin Mohamad
- Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Malaysia; Centre of Research for Computational Sciences and Informatics in Biology, Bio11 Industry, Environment, Agriculture and Healthcare (CRYSTAL), University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - Amir Feisal Merican
- Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Malaysia; Centre of Research for Computational Sciences and Informatics in Biology, Bio11 Industry, Environment, Agriculture and Healthcare (CRYSTAL), University of Malaya, 50603 Kuala Lumpur, Malaysia..
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13
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Salehi Chaleshtori AR, Miyake N, Ahmadvand M, Bashti O, Matsumoto N, Noruzinia M. A novel 8-bp duplication in ADAT3 causes mild intellectual disability. Hum Genome Var 2018; 5:7. [PMID: 29796286 PMCID: PMC5960644 DOI: 10.1038/s41439-018-0007-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Revised: 03/10/2018] [Accepted: 03/11/2018] [Indexed: 12/30/2022] Open
Abstract
Inosine is a base located at wobble position 34 of the tRNA anticodon stem–loop, enabling the recognition of more than one codon in the translation process. A heterodimer consists of ADAT3 and ADAT2 and is involved in the adenosine-to-inosine conversion in tRNA. Here, we report the second novel ADAT3 mutation in a patient with microcephaly, intellectual disability, and hyperactivity. These findings constitute a second mutation and expand the clinical spectrum of extremely rare ADAT3 mutations.
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Affiliation(s)
- Ahmad Reza Salehi Chaleshtori
- 1Department of Medical Genetics, Faculty of Medical Sciences, Tarbiat Modares University, P.O. Box 14115-331 Tehran, Iran
| | - Noriko Miyake
- 2Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004 Japan
| | - Mohammad Ahmadvand
- 3Hematology, Oncology and Stem Cell Transplantation Research Center, Shariati Hospital, Tehran University of Medical Sciences, Tehran, P.O. Box 14114 Iran
| | - Oranous Bashti
- Laboratory of Medical Genetics, iHealth Clinics, P.O. Box 1913874416 Tehran, Iran
| | - Naomichi Matsumoto
- 2Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004 Japan
| | - Mehrdad Noruzinia
- 1Department of Medical Genetics, Faculty of Medical Sciences, Tarbiat Modares University, P.O. Box 14115-331 Tehran, Iran
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14
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Chen W, Feng P, Yang H, Ding H, Lin H, Chou KC. iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences. Oncotarget 2018; 8:4208-4217. [PMID: 27926534 PMCID: PMC5354824 DOI: 10.18632/oncotarget.13758] [Citation(s) in RCA: 199] [Impact Index Per Article: 33.2] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2016] [Accepted: 11/23/2016] [Indexed: 01/14/2023] Open
Abstract
Catalyzed by adenosine deaminase (ADAR), the adenosine to inosine (A-to-I) editing in RNA is not only involved in various important biological processes, but also closely associated with a series of major diseases. Therefore, knowledge about the A-to-I editing sites in RNA is crucially important for both basic research and drug development. Given an uncharacterized RNA sequence that contains many adenosine (A) residues, can we identify which one of them can be of A-to-I editing, and which one cannot? Unfortunately, so far no computational method whatsoever has been developed to address such an important problem based on the RNA sequence information alone. To fill this empty area, we have proposed a predictor called iRNA-AI by incorporating the chemical properties of nucleotides and their sliding occurrence density distribution along a RNA sequence into the general form of pseudo nucleotide composition (PseKNC). It has been shown by the rigorous jackknife test and independent dataset test that the performance of the proposed predictor is quite promising. For the convenience of most experimental scientists, a user-friendly web-server for iRNA-AI has been established at http://lin.uestc.edu.cn/server/iRNA-AI/, by which users can easily get their desired results without the need to go through the mathematical details.
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Affiliation(s)
- Wei Chen
- Department of Physics, School of Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, Tangshan, China.,Gordon Life Science Institute, Belmont, Massachusetts, United States of America
| | - Pengmian Feng
- Hebei Province Key Laboratory of Occupational Health and Safety for Coal Industry, School of Public Health, North China University of Science and Technology, Tangshan, China
| | - Hui Yang
- Key Laboratory for Neuro-Information of Ministry of Education, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China
| | - Hui Ding
- Key Laboratory for Neuro-Information of Ministry of Education, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China
| | - Hao Lin
- Key Laboratory for Neuro-Information of Ministry of Education, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China.,Gordon Life Science Institute, Belmont, Massachusetts, United States of America
| | - Kuo-Chen Chou
- Key Laboratory for Neuro-Information of Ministry of Education, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China.,Gordon Life Science Institute, Belmont, Massachusetts, United States of America
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15
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Cao Y, Cao R, Huang Y, Zhou H, Liu Y, Li X, Zhong W, Hao P. A comprehensive study on cellular RNA editing activity in response to infections with different subtypes of influenza a viruses. BMC Genomics 2018; 19:925. [PMID: 29363430 PMCID: PMC5780764 DOI: 10.1186/s12864-017-4330-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Background RNA editing is an important mechanism that expands the diversity and complexity of genetic codes. The conversions of adenosine (A) to inosine (I) and cytosine (C) to uridine (U) are two prominent types of RNA editing in animals. The roles of RNA editing events have been implicated in important biological pathways. Cellular RNA editing activity in response to influenza A virus infection has not been fully characterized in human and avian hosts. This study was designed as a big data analysis to investigate the role and response of RNA editing in epithelial cells during the course of infection with various subtypes of influenza A viruses. Results Using a bioinformatics pipeline modified from our previous study, we characterized the profiles of A-to-I and C-to-U RNA editing events in human epithelial cells during the course of influenza A virus infection. Our results revealed a striking diversity of A-to-I RNA editing activities in human epithelial cells in responses to different subtypes of influenza A viruses. The infection of H1N1 and H3N2 significantly up-regulated normalized A-to-I RNA editing levels in human epithelial cells, whereas that of H5N1 did not change it and H7N9 infection significantly down-regulated normalized A-to-I editing level in A549 cells. Next, the expression levels of ADAR and APOBEC enzymes responsible for A-to-I and C-to-U RNA editing during the course of virus infection were examined. The increase of A-to-I RNA editing activities in infections with some influenza A viruses (H1N1 and H3N2) is linked to the up-regulation of ADAR1 but not ADAR2. Further, the pattern recognition receptors of human epithelial cells infected with H1N1, H3N2, H5N1 and H7N9 were examined. Variable responsive changes in gene expression were observed with RIG-I like receptors and Toll like receptors. Finally, the effect of influenza A virus infection on cellular RNA editing activity was also analyzed in avian hosts. Conclusion This work represents the first comprehensive study of cellular RNA editing activity in response to different influenza A virus infections in human and avian hosts, highlighting the critical role of RNA editing in innate immune response and the pathogenicity of different subtypes of influenza A viruses. Electronic supplementary material The online version of this article (10.1186/s12864-017-4330-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Yingying Cao
- Key Laboratory of Molecular Virology and Immunology, Institute Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, 20031, China
| | - Ruiyuan Cao
- National Engineering Research Center For the Emergence Drugs, Beijing Institute of Pharmacology and Toxicology, Beijing, 100850, China
| | - Yaowei Huang
- Key Laboratory of Molecular Virology and Immunology, Institute Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, 20031, China
| | - Hongxia Zhou
- Key Laboratory of Synthetic Biology, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 20032, China
| | - Yuanhua Liu
- Key Laboratory of Molecular Virology and Immunology, Institute Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, 20031, China
| | - Xuan Li
- Key Laboratory of Synthetic Biology, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 20032, China.
| | - Wu Zhong
- National Engineering Research Center For the Emergence Drugs, Beijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
| | - Pei Hao
- Key Laboratory of Molecular Virology and Immunology, Institute Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, 20031, China.
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16
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Vargas Hernández JE. Nutrigenómica humana: efectos de los alimentos o sus componentes sobre la expresión RNA. REVISTA DE LA FACULTAD DE MEDICINA 2016. [DOI: 10.15446/revfacmed.v64n2.51080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
<p>Los resultados del proyecto del genoma humano fueron el punto de partida de grandes avances técnicos, metodológicos y conceptuales en la ciencia de la genética. Hoy en día es claro que el DNA es una molécula compleja que presenta diversas interacciones dinámicas consigo misma y con otros componentes del entorno celular. Asimismo, se sabe que el RNA es una molécula fundamental para el entendimiento de las características del organismo y de la respuesta de este a los estímulos del medioambiente. Además, los mecanismos epigenéticos conjugan todos los eventos moleculares que determinan cuáles serán los rasgos —anatómicos, fisiológicos, metabólicos, etc.— particulares de una entidad biológica definida. Todos los aspectos mencionados antes ofrecen la oportunidad de estudiar el conjunto de interacciones existentes entre el genoma y la dieta, lo cual es muy relevante dado que la ingesta de alimentos —o de los componentes contenidos o derivados de los mismos— es uno de los factores del entorno más importantes a los que está expuesto un individuo a lo largo de su vida, puesto que es capaz de condicionar positiva o negativamente el estado de salud. El presente artículo tiene el propósito de dar un panorama general de los aspectos básicos que integran el concepto nutrigénomica y proporcionar un estado del arte actualizado de algunos de los estudios realizados en este campo in vivo en humanos.</p>
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17
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Fu Y, Zhao X, Li Z, Wei J, Tian Y. Splicing variants of ADAR2 and ADAR2-mediated RNA editing in glioma. Oncol Lett 2016; 12:788-792. [PMID: 27446352 DOI: 10.3892/ol.2016.4734] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2015] [Accepted: 05/26/2016] [Indexed: 01/14/2023] Open
Abstract
The roles of alternative splicing and RNA editing in gene regulation and transcriptome diversity are well documented. Adenosine deaminases acting on RNA (ADARs) are responsible for adenosine-to-inosine (A-to-I) editing and exemplify the complex association between RNA editing and alternative splicing. The self-editing activity of ADAR2, which acts on its own pre-mRNA, leads to its alternative splicing. Alternative splicing occurs independently at nine splicing sites on ADAR2 pre-mRNA, generating numerous alternative splicing variants with various catalytic activities. A-to-I RNA editing is important in a range of physiological processes in humans and is associated with several diseases, including amyotrophic lateral sclerosis, mood disorders, epilepsy and glioma. Reduced editing at the glutamine/arginine site of the AMPA receptor subunit GluA2 in glioma, without any alteration in ADAR2 expression, is a notable phenomenon. Several studies have tried to explain this alteration in the catalytic activity of ADAR2; however, the underlying mechanism remains unclear. The present review summarizes the relevant literature and shares experimental results concerning ADAR2 alternative splicing. In particular, the present review demonstrates that shifts in the relative abundance of the active and inactive splicing variants of ADAR2 may reduce the ADAR2 editing activity in glioma. Dominant expression of ADAR2 splicing variant with low enzyme activity causes reduced RNA editing of GluA2 subunit at the glutamine/arginine site in glioma.
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Affiliation(s)
- Yao Fu
- Department of Neurosurgery, China-Japan Union Hospital, Jilin University, Changchun, Jilin 130033, P.R. China
| | - Xingli Zhao
- Department of Neurosurgery, China-Japan Union Hospital, Jilin University, Changchun, Jilin 130033, P.R. China
| | - Zhaohui Li
- Department of Neurosurgery, China-Japan Union Hospital, Jilin University, Changchun, Jilin 130033, P.R. China
| | - Jun Wei
- Department of Neurosurgery, China-Japan Union Hospital, Jilin University, Changchun, Jilin 130033, P.R. China
| | - Yu Tian
- Department of Neurosurgery, China-Japan Union Hospital, Jilin University, Changchun, Jilin 130033, P.R. China
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18
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Horvatovich P, Lundberg EK, Chen YJ, Sung TY, He F, Nice EC, Goode RJ, Yu S, Ranganathan S, Baker MS, Domont GB, Velasquez E, Li D, Liu S, Wang Q, He QY, Menon R, Guan Y, Corrales FJ, Segura V, Casal JI, Pascual-Montano A, Albar JP, Fuentes M, Gonzalez-Gonzalez M, Diez P, Ibarrola N, Degano RM, Mohammed Y, Borchers CH, Urbani A, Soggiu A, Yamamoto T, Salekdeh GH, Archakov A, Ponomarenko E, Lisitsa A, Lichti CF, Mostovenko E, Kroes RA, Rezeli M, Végvári Á, Fehniger TE, Bischoff R, Vizcaíno JA, Deutsch EW, Lane L, Nilsson CL, Marko-Varga G, Omenn GS, Jeong SK, Lim JS, Paik YK, Hancock WS. Quest for Missing Proteins: Update 2015 on Chromosome-Centric Human Proteome Project. J Proteome Res 2015; 14:3415-31. [DOI: 10.1021/pr5013009] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
- Péter Horvatovich
- Analytical
Biochemistry, Department of Pharmacy, University of Groningen, A. Deusinglaan
1, 9713 AV Groningen, The Netherlands
| | - Emma K. Lundberg
- Science
for Life Laboratory, KTH - Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Yu-Ju Chen
- Institute
of Chemistry, Academia Sinica, 128 Academia Road Sec. 2, Taipei 115, Taiwan
| | - Ting-Yi Sung
- Institute
of Information Science, Academia Sinica, 128 Academia Road Sec. 2, Taipei 115, Taiwan
| | - Fuchu He
- The State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, No. 27 Taiping Road, Haidian District, Beijing 100850, China
| | - Edouard C. Nice
- Department
of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria 3800, Australia
| | - Robert J. Goode
- Department
of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria 3800, Australia
| | - Simon Yu
- Department
of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria 3800, Australia
| | - Shoba Ranganathan
- Department
of Chemistry and Biomolecular Sciences and ARC Centre of Excellence
in Bioinformatics, Macquarie University, Sydney, New South Wales 2109, Australia
| | - Mark S. Baker
- Australian
School of Advanced Medicine, Macquarie University, Sydney, NSW 2109, Australia
| | - Gilberto B. Domont
- Proteomics Unit, Institute of Chemistry, Federal University of Rio de Janeiro, Cidade Universitária, Av Athos da Silveira Ramos 149, CT-A542, 21941-909 Rio de Janeriro, Rj, Brazil
| | - Erika Velasquez
- Proteomics Unit, Institute of Chemistry, Federal University of Rio de Janeiro, Cidade Universitária, Av Athos da Silveira Ramos 149, CT-A542, 21941-909 Rio de Janeriro, Rj, Brazil
| | - Dong Li
- The State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, No. 27 Taiping Road, Haidian District, Beijing 100850, China
| | - Siqi Liu
- Beijing Institute of Genomics and BGI Shenzhen, No. 1 Beichen West Road, Chaoyang District, Beijing 100101, China
- BGI Shenzhen, Beishan Road, Yantian District, Shenzhen, 518083, China
| | - Quanhui Wang
- Beijing Institute of Genomics and BGI Shenzhen, No. 1 Beichen West Road, Chaoyang District, Beijing 100101, China
| | - Qing-Yu He
- Key Laboratory of Functional Protein
Research of Guangdong
Higher Education Institutes, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| | - Rajasree Menon
- Department of Computational Medicine & Bioinformatics, University of Michigan, 100 Washtenaw Avenue, Ann Arbor, Michigan 48109-2218, United States
| | - Yuanfang Guan
- Departments of Computational Medicine & Bioinformatics and Computer Sciences, University of Michigan, 100 Washtenaw Avenue, Ann Arbor, Michigan 48109-2218, United States
| | - Fernando J. Corrales
- ProteoRed-ISCIII,
Biomolecular and Bioinformatics Resources Platform (PRB2), Spanish
Consortium of C-HPP (Chr-16), CIMA, University of Navarra, 31008 Pamplona, Spain
- Chr16 SpHPP Consortium, CIMA, University of Navarra, 31008 Pamplona, Spain
| | - Victor Segura
- ProteoRed-ISCIII,
Biomolecular and Bioinformatics Resources Platform (PRB2), Spanish
Consortium of C-HPP (Chr-16), CIMA, University of Navarra, 31008 Pamplona, Spain
- Chr16 SpHPP Consortium, CIMA, University of Navarra, 31008 Pamplona, Spain
| | - J. Ignacio Casal
- Department
of Cellular and Molecular Medicine, Centro de Investigaciones Biológicas (CIB-CSIC), 28040 Madrid, Spain
| | | | - Juan P. Albar
- Centro Nacional de Biotecnologia (CNB-CSIC), Cantoblanco, 28049 Madrid, Spain
| | - Manuel Fuentes
- Cancer
Research Center. Proteomics Unit and General Service of Cytometry,
Department of Medicine, University of Salmanca-CSIC, IBSAL, Campus Miguel de Unamuno
s/n, 37007 Salamanca, Spain
| | - Maria Gonzalez-Gonzalez
- Cancer
Research Center. Proteomics Unit and General Service of Cytometry,
Department of Medicine, University of Salmanca-CSIC, IBSAL, Campus Miguel de Unamuno
s/n, 37007 Salamanca, Spain
| | - Paula Diez
- Cancer
Research Center. Proteomics Unit and General Service of Cytometry,
Department of Medicine, University of Salmanca-CSIC, IBSAL, Campus Miguel de Unamuno
s/n, 37007 Salamanca, Spain
| | - Nieves Ibarrola
- Cancer
Research Center. Proteomics Unit and General Service of Cytometry,
Department of Medicine, University of Salmanca-CSIC, IBSAL, Campus Miguel de Unamuno
s/n, 37007 Salamanca, Spain
| | - Rosa M. Degano
- Cancer
Research Center. Proteomics Unit and General Service of Cytometry,
Department of Medicine, University of Salmanca-CSIC, IBSAL, Campus Miguel de Unamuno
s/n, 37007 Salamanca, Spain
| | - Yassene Mohammed
- University of Victoria-Genome British Columbia Proteomics
Centre, Vancouver Island
Technology Park, #3101−4464 Markham Street, Victoria, British Columbia V8Z 7X8, Canada
- Center
for Proteomics and Metabolomics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Christoph H. Borchers
- University of Victoria-Genome British Columbia Proteomics
Centre, Vancouver Island
Technology Park, #3101−4464 Markham Street, Victoria, British Columbia V8Z 7X8, Canada
| | - Andrea Urbani
- Proteomics
and Metabonomic, Laboratory, Fondazione Santa Lucia, Rome, Italy
- Department
of Experimental Medicine and Surgery, University of Rome “Tor Vergata”, Rome, Italy
| | - Alessio Soggiu
- Department
of Veterinary Science and Public Health (DIVET), University of Milano, via Celoria 10, 20133 Milano, Italy
| | - Tadashi Yamamoto
- Institute
of Nephrology, Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan
| | - Ghasem Hosseini Salekdeh
- Department of Molecular Systems Biology at Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran
- Department of Systems Biology, Agricultural Biotechnology Research Institute of Iran, Karaj, Iran
| | | | | | - Andrey Lisitsa
- Orechovich Institute of Biomedical Chemistry, Moscow, Russia
| | - Cheryl F. Lichti
- Department
of Pharmacology and Toxicology, The University of Texas Medical Branch, Galveston, Texas 77555-0617, United States
| | - Ekaterina Mostovenko
- Department
of Pharmacology and Toxicology, The University of Texas Medical Branch, Galveston, Texas 77555-0617, United States
| | - Roger A. Kroes
- Falk Center for Molecular Therapeutics, Department of Biomedical Engineering, Northwestern University, 1801 Maple Ave., Suite 4300, Evanston, Illinois 60201, United States
| | - Melinda Rezeli
- Clinical Protein Science & Imaging, Department of Biomedical Engineering, Lund University, BMC D13, 221 84 Lund, Sweden
| | - Ákos Végvári
- Clinical Protein Science & Imaging, Department of Biomedical Engineering, Lund University, BMC D13, 221 84 Lund, Sweden
| | - Thomas E. Fehniger
- Clinical Protein Science & Imaging, Department of Biomedical Engineering, Lund University, BMC D13, 221 84 Lund, Sweden
| | - Rainer Bischoff
- Analytical
Biochemistry, Department of Pharmacy, University of Groningen, A. Deusinglaan
1, 9713 AV Groningen, The Netherlands
| | - Juan Antonio Vizcaíno
- European Molecular
Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, CB10 1SD, Hinxton, Cambridge, United Kingdom
| | - Eric W. Deutsch
- Institute for Systems Biology, 401 Terry Avenue North, Seattle, Washington 98109, United States
| | - Lydie Lane
- SIB Swiss Institute of Bioinformatics, Geneva, Switzerland
- Department
of Human Protein Science, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Carol L. Nilsson
- Department
of Pharmacology and Toxicology, The University of Texas Medical Branch, Galveston, Texas 77555-0617, United States
| | - György Marko-Varga
- Clinical Protein Science & Imaging, Department of Biomedical Engineering, Lund University, BMC D13, 221 84 Lund, Sweden
| | - Gilbert S. Omenn
- Departments of Computational Medicine & Bioinformatics, Internal Medicine, Human Genetics and School of Public Health, University of Michigan, 100 Washtenaw Avenue, Ann Arbor, Michigan 48109-2218, United States
| | - Seul-Ki Jeong
- Departments of Integrated Omics for Biomedical Science & Biochemistry, College of Life Science and Technology, Yonsei Proteome Research Center, Yonsei University, Seoul, 120-749, Korea
| | - Jong-Sun Lim
- Departments of Integrated Omics for Biomedical Science & Biochemistry, College of Life Science and Technology, Yonsei Proteome Research Center, Yonsei University, Seoul, 120-749, Korea
| | - Young-Ki Paik
- Departments of Integrated Omics for Biomedical Science & Biochemistry, College of Life Science and Technology, Yonsei Proteome Research Center, Yonsei University, Seoul, 120-749, Korea
| | - William S. Hancock
- The
Barnett Institute of Chemical and Biological Analysis, Northeastern University, 140 The Fenway, Boston, Massachusetts 02115, United States
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19
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Sharma S, Patnaik SK, Taggart RT, Kannisto ED, Enriquez SM, Gollnick P, Baysal BE. APOBEC3A cytidine deaminase induces RNA editing in monocytes and macrophages. Nat Commun 2015; 6:6881. [PMID: 25898173 PMCID: PMC4411297 DOI: 10.1038/ncomms7881] [Citation(s) in RCA: 163] [Impact Index Per Article: 18.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2014] [Accepted: 03/10/2015] [Indexed: 01/01/2023] Open
Abstract
The extent, regulation and enzymatic basis of RNA editing by cytidine deamination are incompletely understood. Here we show that transcripts of hundreds of genes undergo site-specific C>U RNA editing in macrophages during M1 polarization and in monocytes in response to hypoxia and interferons. This editing alters the amino acid sequences for scores of proteins, including many that are involved in pathogenesis of viral diseases. APOBEC3A, which is known to deaminate cytidines of single-stranded DNA and to inhibit viruses and retrotransposons, mediates this RNA editing. Amino acid residues of APOBEC3A that are known to be required for its DNA deamination and anti-retrotransposition activities were also found to affect its RNA deamination activity. Our study demonstrates the cellular RNA editing activity of a member of the APOBEC3 family of innate restriction factors and expands the understanding of C>U RNA editing in mammals. Aberrant RNA editing is linked to a range of neuropsychiatric and chronic diseases. Here Sharma et al. show that APOBEC3A can function as an RNA editing protein in response to physiological stimuli, significantly expanding our understanding of RNA editing and the role this may play in diseases.
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Affiliation(s)
- Shraddha Sharma
- Department of Pathology, Roswell Park Cancer Institute, Elm and Carlton Streets, Buffalo, New York 14203, USA
| | - Santosh K Patnaik
- Department of Thoracic Surgery, Roswell Park Cancer Institute, Elm and Carlton Streets, Buffalo, New York 14203, USA
| | - R Thomas Taggart
- Department of Pathology, Roswell Park Cancer Institute, Elm and Carlton Streets, Buffalo, New York 14203, USA
| | - Eric D Kannisto
- Department of Thoracic Surgery, Roswell Park Cancer Institute, Elm and Carlton Streets, Buffalo, New York 14203, USA
| | - Sally M Enriquez
- Department of Biological Sciences, University at Buffalo, State University of New York, Buffalo, New York 14260, USA
| | - Paul Gollnick
- Department of Biological Sciences, University at Buffalo, State University of New York, Buffalo, New York 14260, USA
| | - Bora E Baysal
- Department of Pathology, Roswell Park Cancer Institute, Elm and Carlton Streets, Buffalo, New York 14203, USA
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20
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LI ZHAOHUI, TIAN YU, TIAN NAN, ZHAO XINGLI, DU CHAO, HAN LIANG, ZHANG HAISHAN. Aberrant alternative splicing pattern of ADAR2 downregulates adenosine-to-inosine editing in glioma. Oncol Rep 2015; 33:2845-52. [DOI: 10.3892/or.2015.3907] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2015] [Accepted: 03/20/2015] [Indexed: 11/05/2022] Open
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21
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Wang Y, Liu J, Huang BO, Xu YM, Li J, Huang LF, Lin J, Zhang J, Min QH, Yang WM, Wang XZ. Mechanism of alternative splicing and its regulation. Biomed Rep 2014; 3:152-158. [PMID: 25798239 DOI: 10.3892/br.2014.407] [Citation(s) in RCA: 216] [Impact Index Per Article: 21.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2014] [Accepted: 12/10/2014] [Indexed: 12/11/2022] Open
Abstract
Alternative splicing of precursor mRNA is an essential mechanism to increase the complexity of gene expression, and it plays an important role in cellular differentiation and organism development. Regulation of alternative splicing is a complicated process in which numerous interacting components are at work, including cis-acting elements and trans-acting factors, and is further guided by the functional coupling between transcription and splicing. Additional molecular features, such as chromatin structure, RNA structure and alternative transcription initiation or alternative transcription termination, collaborate with these basic components to generate the protein diversity due to alternative splicing. All these factors contributing to this one fundamental biological process add up to a mechanism that is critical to the proper functioning of cells. Any corruption of the process may lead to disruption of normal cellular function and the eventuality of disease. Cancer is one of those diseases, where alternative splicing may be the basis for the identification of novel diagnostic and prognostic biomarkers, as well as new strategies for therapy. Thus, an in-depth understanding of alternative splicing regulation has the potential not only to elucidate fundamental biological principles, but to provide solutions for various diseases.
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Affiliation(s)
- Yan Wang
- Department of Clinical Laboratory Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, P.R. China
| | - Jing Liu
- Department of Clinical Laboratory Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, P.R. China
| | - B O Huang
- Department of Clinical Laboratory Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, P.R. China
| | - Yan-Mei Xu
- Department of Clinical Laboratory Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, P.R. China
| | - Jing Li
- Department of Clinical Laboratory Medicine, The First Affiliated Hospital of Nanchang University, Nanchang 330006, P.R. China
| | - Lin-Feng Huang
- Department of Clinical Laboratory Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, P.R. China
| | - Jin Lin
- Department of Clinical Laboratory Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, P.R. China
| | - Jing Zhang
- Department of Clinical Laboratory Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, P.R. China
| | - Qing-Hua Min
- Department of Clinical Laboratory Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, P.R. China
| | - Wei-Ming Yang
- Department of Clinical Laboratory Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, P.R. China
| | - Xiao-Zhong Wang
- Department of Clinical Laboratory Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, P.R. China
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22
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Predicting A-to-I RNA editing by feature selection and random forest. PLoS One 2014; 9:e110607. [PMID: 25338210 PMCID: PMC4206426 DOI: 10.1371/journal.pone.0110607] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2014] [Accepted: 09/16/2014] [Indexed: 11/19/2022] Open
Abstract
RNA editing is a post-transcriptional RNA process that provides RNA and protein complexity for regulating gene expression in eukaryotes. It is challenging to predict RNA editing by computational methods. In this study, we developed a novel method to predict RNA editing based on a random forest method. A careful feature selection procedure was performed based on the Maximum Relevance Minimum Redundancy (mRMR) and Incremental Feature Selection (IFS) algorithms. Eighteen optimal features were selected from the 77 features in our dataset and used to construct a final predictor. The accuracy and MCC (Matthews correlation coefficient) values for the training dataset were 0.866 and 0.742, respectively; for the testing dataset, the accuracy and MCC were 0.876 and 0.576, respectively. The performance was higher using 18 features than all 77, suggesting that a small feature set was sufficient to achieve accurate prediction. Analysis of the 18 features was performed and may shed light on the mechanism and dominant factors of RNA editing, providing a basis for future experimental validation.
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Lisitsa A, Moshkovskii S, Chernobrovkin A, Ponomarenko E, Archakov A. Profiling proteoforms: promising follow-up of proteomics for biomarker discovery. Expert Rev Proteomics 2014; 11:121-9. [PMID: 24437377 DOI: 10.1586/14789450.2014.878652] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Today, proteomics usually compares clinical samples by use of bottom-up profiling with high resolution mass spectrometry, where all protein products of a single gene are considered as an integral whole. At the same time, proteomics of proteoforms, which considers the variety of protein species, offers the potential to discover valuable biomarkers. Proteoforms are protein species that arise as a consequence of genetic polymorphisms, alternative splicing, post-translational modifications and other less-explored molecular events. The comprehensive observation of proteoforms has been an exclusive privilege of top-down proteomics. Here, we review the possibilities of a bottom-up approach to address the microheterogeneity of the human proteome. Special focus is given to shotgun proteomics and structure-based bioinformatics as a source of hypothetical proteoforms, which can potentially be verified by targeted mass spectrometry to determine the relevance of proteoforms to diseases.
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Affiliation(s)
- Andrey Lisitsa
- Orekhovich Institute of Biomedical Chemistry of the Russian Academy of Medical Sciences, 119121, Pogodinskaya Street 10, Moscow, Russia
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24
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Tetrapyrrole biosynthetic enzyme protoporphyrinogen IX oxidase 1 is required for plastid RNA editing. Proc Natl Acad Sci U S A 2014; 111:2023-8. [PMID: 24497494 DOI: 10.1073/pnas.1316183111] [Citation(s) in RCA: 95] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
RNA editing is a posttranscriptional process that covalently alters the sequence of RNA molecules and plays important biological roles in both animals and land plants. In flowering plants, RNA editing converts specific cytidine residues to uridine in both plastid and mitochondrial transcripts. Previous studies identified pentatricopeptide repeat (PPR) motif-containing proteins as site-specific recognition factors for cytidine targets in RNA sequences. However, the regulatory mechanism underlying RNA editing was largely unknown. Here, we report that protoporphyrinogen IX oxidase 1 (PPO1), an enzyme that catalyzes protoporphyrinogen IX into protoporphyrin IX in the tetrapyrrole biosynthetic pathway, plays an unexpected role in editing multiple sites of plastid RNA transcripts, most of which encode subunits of the NADH dehydrogenase-like complex (NDH), in the reference plant Arabidopsis thaliana. We identified multiple organellar RNA editing factors (MORFs), including MORF2, MORF8, and MORF9, that interact with PPO1. We found that two conserved motifs within the 22-aa region at the N terminus of PPO1 are essential for its interaction with MORFs, its RNA editing function, and subsequently, its effect on NDH activity. However, transgenic plants lacking key domains for the tetrapyrrole biosynthetic activity of PPO1 exhibit normal RNA editing. Furthermore, MORF2 and MORF9 interact with three PPRs or related proteins required for editing of ndhB and ndhD sites. These results reveal that the tetrapyrrole biosynthetic enzyme PPO1 is required for plastid RNA editing, acting as a regulator that promotes the stability of MORF proteins through physical interaction.
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27
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Wang Q, Hui H, Guo Z, Zhang W, Hu Y, He T, Tai Y, Peng P, Wang L. ADAR1 regulates ARHGAP26 gene expression through RNA editing by disrupting miR-30b-3p and miR-573 binding. RNA (NEW YORK, N.Y.) 2013; 19:1525-1536. [PMID: 24067935 PMCID: PMC3851720 DOI: 10.1261/rna.041533.113] [Citation(s) in RCA: 70] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2013] [Accepted: 08/07/2013] [Indexed: 05/30/2023]
Abstract
Rho GTPase activating protein 26 (ARHGAP26) is a negative regulator of the Rho family that converts the small G proteins RhoA and Cdc42 to their inactive GDP-bound forms. It is essential for the CLIC/GEEC endocytic pathway, cell spreading, and muscle development. The present study shows that ARHGAP26 mRNA undergoes extensive A-to-I RNA editing in the 3' UTR that is specifically catalyzed by ADAR1. Furthermore, the mRNA and protein levels of ARHGAP26 were decreased in cells in which ADAR1 was knocked down. Conversely, ADAR1 overexpression increased the abundance of ARHGAP26 mRNA and protein. In addition, we found that both miR-30b-3p and miR-573 target the ARHGAP26 gene and that RNA editing of ARHGAP26 mediated by ADAR1 abolished the repression of its expression by miR-30b-3p or miR-573. When ADAR1 was overexpressed, the reduced abundance of ARHGAP26 protein mediated by miR-30b-3p or miR-573 was rescued. Importantly, we also found that knocking down ADAR1 elevated RhoA activity, which was consistent with the reduced level of ARHGAP26. Conversely, when ADAR1 was overexpressed, the amount of RhoA-GTP decreased. The similar expression patterns of ARHGAP26 and ADAR1 in human tissue samples further confirmed our findings. Taken together, our results suggest that ADAR1 regulates the expression of ARHGAP26 through A-to-I RNA editing by disrupting the binding of miR-30b-3p and miR-573 within the 3' UTR of ARHGAP26. This study provides a novel insight into the mechanism by which ADAR1 and its RNA editing function regulate microRNA-mediated modulation of target genes.
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Affiliation(s)
- Qiong Wang
- Beijing Institute of Biotechnology, Beijing 100071, China
- Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Haipeng Hui
- General Hospital of PLA, Beijing 100853, China
| | - Zhendong Guo
- Beijing Institute of Biotechnology, Beijing 100071, China
| | - Weina Zhang
- Beijing Institute of Biotechnology, Beijing 100071, China
| | - Yaou Hu
- Beijing Institute of Biotechnology, Beijing 100071, China
| | - Tao He
- Beijing Institute of Biotechnology, Beijing 100071, China
| | - Yanhong Tai
- General Hospital of PLA, Beijing 100853, China
| | - Peng Peng
- Beijing Institute of Biotechnology, Beijing 100071, China
- Peking Union Medical College Hospital, Beijing 100730, China
| | - Li Wang
- Beijing Institute of Biotechnology, Beijing 100071, China
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28
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RNA editing and drug discovery for cancer therapy. ScientificWorldJournal 2013; 2013:804505. [PMID: 23737728 PMCID: PMC3655661 DOI: 10.1155/2013/804505] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2013] [Accepted: 04/08/2013] [Indexed: 12/26/2022] Open
Abstract
RNA editing is vital to provide the RNA and protein complexity to regulate the gene expression. Correct RNA editing maintains the cell function and organism development. Imbalance of the RNA editing machinery may lead to diseases and cancers. Recently, RNA editing has been recognized as a target for drug discovery although few studies targeting RNA editing for disease and cancer therapy were reported in the field of natural products. Therefore, RNA editing may be a potential target for therapeutic natural products. In this review, we provide a literature overview of the biological functions of RNA editing on gene expression, diseases, cancers, and drugs. The bioinformatics resources of RNA editing were also summarized.
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29
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Abstract
Adenosine deaminase acting on RNA (ADAR) catalyzes the hydrolytic deamination of adenosine to inosine in double-stranded RNA (dsRNA) substrates. Inosine pairs preferentially with cytidine, as opposed to uridine; therefore, ADAR editing alters the sequence and base pairing properties of both protein-coding and non-coding RNA. Editing can directly alter the sequence of protein-coding transcripts and modify splicing, or affect a variety of non-coding targets, including microRNA, small interfering RNA, viral transcripts, and repeat elements such as Alu and LINE. Such editing has a wide range of physiological effects, including modification of targets in the brain and in disease states.
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Affiliation(s)
- Arka Mallela
- The Wistar Institute, 3601 Spruce Street, Philadelphia, PA 19104, USA.
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