1
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He B, Chen Y, Yi C. Quantitative mapping of the mammalian epitranscriptome. Curr Opin Genet Dev 2024; 87:102212. [PMID: 38823337 DOI: 10.1016/j.gde.2024.102212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 05/04/2024] [Accepted: 05/17/2024] [Indexed: 06/03/2024]
Abstract
The epitranscriptome encompasses a diverse array of dynamic and reversible RNA modifications, affecting both coding and noncoding RNAs. Over 170 types of RNA chemical modifications have been identified, underscoring the need for innovative detection methods to deepen our understanding of RNA modification roles and mechanisms. In particular, the base resolution and quantitative information on RNA modifications are critical for understanding the regulation and functions of RNA modifications. Based on detection throughput and principles, existing quantitative RNA modification detection methods can be categorized into two groups, including next-generation sequencing and nanopore direct RNA sequencing. In this review, we focus on methodologies for elucidating the base resolution and stoichiometric information of RNA modifications. In addition, we further discuss the challenges and the potential prospects of the quantitative RNA modification detection methods.
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Affiliation(s)
- Bo He
- Peking University Chengdu Academy for Advanced Interdisciplinary Biotechnologies, Chengdu, China; Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Yuting Chen
- Peking University Chengdu Academy for Advanced Interdisciplinary Biotechnologies, Chengdu, China
| | - Chengqi Yi
- Peking University Chengdu Academy for Advanced Interdisciplinary Biotechnologies, Chengdu, China; Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China; State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, China; Department of Chemical Biology and Synthetic and Functional Biomolecules Center, College of Chemistry and Molecular Engineering, Peking University, Beijing, China.
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2
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McCormick CA, Qiu Y, Fanari O, Liu Y, Bloch D, Klink IN, Meseonznik M, Jain M, Wanunu M, Rouhanifard SH. mRNA psi profiling using nanopore DRS reveals cell type-specific pseudouridylation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.08.593203. [PMID: 38766185 PMCID: PMC11100687 DOI: 10.1101/2024.05.08.593203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Pseudouridine (psi) is one of the most abundant human mRNA modifications generated from the isomerization of uridine via psi synthases, including TRUB1 and PUS7 . Nanopore direct RNA sequencing combined with our recent tool, Mod- p ID, enables psi mapping, transcriptome-wide, without chemical derivatization of the input RNA and/or conversion to cDNA. This method is sensitive for detecting changes in positional psi occupancies across cell types, which can inform our understanding of the impact on gene expression. We sequenced, mapped, and compared the positional psi occupancy across six immortalized human cell lines derived from diverse tissue types. We found that lung-derived cells have the highest proportion of psi, while liver-derived cells have the lowest. Further, among a list of highly conserved sites across cell types, most are TRUB1 substrates and fall within the coding sequence. We find that these conserved psi positions correspond to higher levels of protein expression than expected, suggesting translation regulation. Interestingly, we identify cell type-specific sites of psi modification in ubiquitously expressed genes. We validate these sites by ruling out single-nucleotide variants, analyzing current traces, and performing enzymatic knockdowns of psi synthases. Finally, we characterize sites with multiple psi modifications on the same transcript (hypermodification type II) and found that these can be conserved or cell type specific. Among these, we discovered examples of multiple psi modifications within the same k-mer for the first time and analyzed the effect on current distribution. Our data support the hypothesis that motif sequence and the presence of psi synthase are insufficient to drive modifications, that psi modifications contribute to regulating translation and that cell type-specific trans-acting factors play a major role in driving pseudouridylation.
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3
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Ye H, Li T, Rigden DJ, Wei Z. m6ACali: machine learning-powered calibration for accurate m6A detection in MeRIP-Seq. Nucleic Acids Res 2024; 52:4830-4842. [PMID: 38634812 PMCID: PMC11109940 DOI: 10.1093/nar/gkae280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 03/18/2024] [Accepted: 04/04/2024] [Indexed: 04/19/2024] Open
Abstract
We present m6ACali, a novel machine-learning framework aimed at enhancing the accuracy of N6-methyladenosine (m6A) epitranscriptome profiling by reducing the impact of non-specific antibody enrichment in MeRIP-Seq. The calibration model serves as a genomic feature-based classifier that refines the identification of m6A sites, distinguishing those genuinely present from those that can be detected in in-vitro transcribed (IVT) control experiments. We find that m6ACali effectively identifies non-specific binding peaks reported by exomePeak2 and MACS2 in novel MeRIP-Seq datasets without the need for paired IVT controls. The model interpretation revealed that off-target antibody binding sites commonly occur at short exons and short mRNAs, originating from high read coverage regions that share the motif sequence with true m6A sites. We also reveal that the ML strategy can efficiently adjust differentially methylated peaks and other antibody-dependent, base-resolution m6A detection techniques. As a result, m6ACali offers a promising method for the universal enhancement of m6A profiles generated by MeRIP-Seq experiments, elevating the benchmark for omics-level m6A data integration.
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Affiliation(s)
- Haokai Ye
- Department of Biological Sciences, Xi’an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, L7 8TX Liverpool, UK
| | - Tenglong Li
- Wisdom Lake Academy of Pharmacy, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
| | - Daniel J Rigden
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, L7 8TX Liverpool, UK
| | - Zhen Wei
- Department of Biological Sciences, Xi’an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China
- Institute of Life Course and Medical Sciences, University of Liverpool, L7 8TX Liverpool, UK
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4
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López J, Blanco S. Exploring the role of ribosomal RNA modifications in cancer. Curr Opin Genet Dev 2024; 86:102204. [PMID: 38759459 DOI: 10.1016/j.gde.2024.102204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 04/05/2024] [Accepted: 05/03/2024] [Indexed: 05/19/2024]
Abstract
Recent advances have highlighted the significant roles of post-transcriptional modifications in rRNA in various cancers. Evidence suggests that dysregulation of rRNA modifications acts as a common denominator in cancer development, with alterations in these modifications conferring competitive advantages to cancer cells. Specifically, rRNA modifications modulate protein synthesis and favor the specialized translation of oncogenic programs, thereby contributing to the formation of a protumorigenic proteome in cancer cells. These findings reveal a novel regulatory layer mediated by changes in the deposition of rRNA chemical modifications. Moreover, inhibition of these modifications in vitro and in preclinical studies demonstrates potential therapeutic applications. The recurrence of altered rRNA modification patterns across different types of cancer underscores their importance in cancer progression, proposing them as potential biomarkers and novel therapeutic targets. This review will highlight the latest insights into how post-transcriptional rRNA modifications contribute to cancer progression and summarize the main developments and ongoing challenges in this research area.
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Affiliation(s)
- Judith López
- Centro de Investigación del Cáncer and Instituto de Biología Molecular y Celular del Cáncer, Consejo Superior de Investigaciones Científicas (CSIC) - University of Salamanca, 37007 Salamanca, Spain; Instituto de Investigación Biomédica de Salamanca (IBSAL), Hospital Universitario de Salamanca, 37007 Salamanca, Spain. https://twitter.com/@judithlopezluis
| | - Sandra Blanco
- Centro de Investigación del Cáncer and Instituto de Biología Molecular y Celular del Cáncer, Consejo Superior de Investigaciones Científicas (CSIC) - University of Salamanca, 37007 Salamanca, Spain; Instituto de Investigación Biomédica de Salamanca (IBSAL), Hospital Universitario de Salamanca, 37007 Salamanca, Spain.
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5
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Huang E, Frydman C, Xiao X. Navigating the landscape of epitranscriptomics and host immunity. Genome Res 2024; 34:515-529. [PMID: 38702197 PMCID: PMC11146601 DOI: 10.1101/gr.278412.123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/06/2024]
Abstract
RNA modifications, also termed epitranscriptomic marks, encompass chemical alterations to individual nucleotides, including processes such as methylation and editing. These marks contribute to a wide range of biological processes, many of which are related to host immune system defense. The functions of immune-related RNA modifications can be categorized into three main groups: regulation of immunogenic RNAs, control of genes involved in innate immune response, and facilitation of adaptive immunity. Here, we provide an overview of recent research findings that elucidate the contributions of RNA modifications to each of these processes. We also discuss relevant methods for genome-wide identification of RNA modifications and their immunogenic substrates. Finally, we highlight recent advances in cancer immunotherapies that aim to reduce cancer cell viability by targeting the enzymes responsible for RNA modifications. Our presentation of these dynamic research avenues sets the stage for future investigations in this field.
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Affiliation(s)
- Elaine Huang
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, California 90095, USA
| | - Clara Frydman
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, California 90095, USA
| | - Xinshu Xiao
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, California 90095, USA;
- Department of Integrative Biology and Physiology, University of California, Los Angeles, California 90095, USA
- Molecular Biology Interdepartmental Program, University of California, Los Angeles, California 90095, USA
- Molecular Biology Institute, University of California, Los Angeles, California 90095, USA
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6
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Xuan Y, Wang L, Zhang L, Lv M, Li F, Gong Q. Structural basis of pri-let-7 recognition by human pseudouridine synthase TruB1. Biochem Biophys Res Commun 2024; 721:150122. [PMID: 38776834 DOI: 10.1016/j.bbrc.2024.150122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 04/29/2024] [Accepted: 05/13/2024] [Indexed: 05/25/2024]
Abstract
Let-7 was one of the first microRNAs (miRNAs) to be discovered and its expression promotes differentiation during development and function as tumor suppressors in various cancers. The maturation process of let-7 miRNA is tightly regulated by multiple RNA-binding proteins. For example, LIN28 binds to the terminal loops of the precursors of let-7 family and block their processing into mature miRNAs. Trim25 promotes the uridylation-mediated degradation of pre-let-7 modified by LIN28/TUT4. Recently, human pseudouridine synthase TruB1 has been reported to facilitate let-7 maturation by directly binding to pri-let-7 and recruiting Drosha-DGCR8 microprocessor. Through biochemical assay and structural investigation, we show that human TruB1 binds specifically the terminal loop of pri-let-7a1 at nucleotides 31-41, which folds as a small stem-loop architecture. Although TruB1 recognizes the terminal loop of pri-let-7a1 in a way similar to how E. coli TruB interacts with tRNA, a conserved KRKK motif in human and other higher eukaryotes adds an extra binding interface and strengthens the recognition of TruB1 for pri-let-7a1 through electrostatic interactions. These findings reveal the structural basis of TruB1-pri-let-7 interaction which may assists the elucidation of precise role of TruB1 in biogenesis of let-7.
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Affiliation(s)
- Yumi Xuan
- Department of Clinical Laboratory, The First Affiliated Hospital of USTC, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, Ministry of Education Key Laboratory for Membraneless Organelles & Cellular Dynamics, Biomedical Sciences and Health Laboratory of Anhui Province, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, 230027, Hefei, PR China
| | - Lei Wang
- Department of Clinical Laboratory, The First Affiliated Hospital of USTC, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, Ministry of Education Key Laboratory for Membraneless Organelles & Cellular Dynamics, Biomedical Sciences and Health Laboratory of Anhui Province, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, 230027, Hefei, PR China
| | - Liang Zhang
- Department of Clinical Laboratory, The First Affiliated Hospital of USTC, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, Ministry of Education Key Laboratory for Membraneless Organelles & Cellular Dynamics, Biomedical Sciences and Health Laboratory of Anhui Province, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, 230027, Hefei, PR China
| | - Mengqi Lv
- Department of Clinical Laboratory, The First Affiliated Hospital of USTC, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, Ministry of Education Key Laboratory for Membraneless Organelles & Cellular Dynamics, Biomedical Sciences and Health Laboratory of Anhui Province, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, 230027, Hefei, PR China
| | - Fudong Li
- Department of Clinical Laboratory, The First Affiliated Hospital of USTC, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, Ministry of Education Key Laboratory for Membraneless Organelles & Cellular Dynamics, Biomedical Sciences and Health Laboratory of Anhui Province, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, 230027, Hefei, PR China
| | - Qingguo Gong
- Department of Clinical Laboratory, The First Affiliated Hospital of USTC, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, Ministry of Education Key Laboratory for Membraneless Organelles & Cellular Dynamics, Biomedical Sciences and Health Laboratory of Anhui Province, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, 230027, Hefei, PR China.
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7
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Li Y, Wu S, Ye K. Landscape of RNA pseudouridylation in archaeon Sulfolobus islandicus. Nucleic Acids Res 2024; 52:4644-4658. [PMID: 38375885 PMCID: PMC11077068 DOI: 10.1093/nar/gkae096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 01/27/2024] [Accepted: 01/30/2024] [Indexed: 02/21/2024] Open
Abstract
Pseudouridine, one of the most abundant RNA modifications, is synthesized by stand-alone or RNA-guided pseudouridine synthases. Here, we comprehensively mapped pseudouridines in rRNAs, tRNAs and small RNAs in the archaeon Sulfolobus islandicus and identified Cbf5-associated H/ACA RNAs. Through genetic deletion and in vitro modification assays, we determined the responsible enzymes for these modifications. The pseudouridylation machinery in S. islandicus consists of the stand-alone enzymes aPus7 and aPus10, and six H/ACA RNA-guided enzymes that account for all identified pseudouridines. These H/ACA RNAs guide the modification of all eleven sites in rRNAs, two sites in tRNAs, and two sites in CRISPR RNAs. One H/ACA RNA shows exceptional versatility by targeting eight different sites. aPus7 and aPus10 are responsible for modifying positions 13, 54 and 55 in tRNAs. We identified four atypical H/ACA RNAs that lack the lower stem and the ACA motif and confirmed their function both in vivo and in vitro. Intriguingly, atypical H/ACA RNAs can be modified by Cbf5 in a guide-independent manner. Our data provide the first global view of pseudouridylation in archaea and reveal unexpected structures, substrates, and activities of archaeal H/ACA RNPs.
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MESH Headings
- Pseudouridine/metabolism
- Sulfolobus/genetics
- Sulfolobus/metabolism
- RNA, Transfer/metabolism
- RNA, Transfer/genetics
- RNA, Archaeal/genetics
- RNA, Archaeal/metabolism
- RNA, Archaeal/chemistry
- RNA, Ribosomal/metabolism
- RNA, Ribosomal/genetics
- Archaeal Proteins/metabolism
- Archaeal Proteins/genetics
- RNA Processing, Post-Transcriptional
- RNA, Guide, CRISPR-Cas Systems/genetics
- RNA, Guide, CRISPR-Cas Systems/metabolism
- Intramolecular Transferases/genetics
- Intramolecular Transferases/metabolism
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Affiliation(s)
- Yuqian Li
- Key Laboratory of RNA Science and Engineering, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Songlin Wu
- Key Laboratory of RNA Science and Engineering, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Keqiong Ye
- Key Laboratory of RNA Science and Engineering, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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8
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Garcia-Campos MA, Schwartz S. txtools: an R package facilitating analysis of RNA modifications, structures, and interactions. Nucleic Acids Res 2024; 52:e42. [PMID: 38512053 PMCID: PMC11077046 DOI: 10.1093/nar/gkae203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 02/08/2024] [Accepted: 03/13/2024] [Indexed: 03/22/2024] Open
Abstract
We present txtools, an R package that enables the processing, analysis, and visualization of RNA-seq data at the nucleotide-level resolution, seamlessly integrating alignments to the genome with transcriptomic representation. txtools' main inputs are BAM files and a transcriptome annotation, and the main output is a table, capturing mismatches, deletions, and the number of reads beginning and ending at each nucleotide in the transcriptomic space. txtools further facilitates downstream visualization and analyses. We showcase, using examples from the epitranscriptomic field, how a few calls to txtools functions can yield insightful and ready-to-publish results. txtools is of broad utility also in the context of structural mapping and RNA:protein interaction mapping. By providing a simple and intuitive framework, we believe that txtools will be a useful and convenient tool and pave the path for future discovery. txtools is available for installation from its GitHub repository at https://github.com/AngelCampos/txtools.
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Affiliation(s)
- Miguel Angel Garcia-Campos
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Central District, 761000, Israel
| | - Schraga Schwartz
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Central District, 761000, Israel
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9
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Fang X, Zhao R, Wang Y, Sun M, Xu J, Long S, Mo J, Liu H, Li X, Wang F, Zhou X, Weng X. A bisulfite-assisted and ligation-based qPCR amplification technology for locus-specific pseudouridine detection at base resolution. Nucleic Acids Res 2024:gkae344. [PMID: 38709875 DOI: 10.1093/nar/gkae344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 03/09/2024] [Accepted: 04/19/2024] [Indexed: 05/08/2024] Open
Abstract
Over 150 types of chemical modifications have been identified in RNA to date, with pseudouridine (Ψ) being one of the most prevalent modifications in RNA. Ψ plays vital roles in various biological processes, and precise, base-resolution detection methods are fundamental for deep analysis of its distribution and function. In this study, we introduced a novel base-resolution Ψ detection method named pseU-TRACE. pseU-TRACE relied on the fact that RNA containing Ψ underwent a base deletion after treatment of bisulfite (BS) during reverse transcription, which enabled efficient ligation of two probes complementary to the cDNA sequence on either side of the Ψ site and successful amplification in subsequent real-time quantitative PCR (qPCR), thereby achieving selective and accurate Ψ detection. Our method accurately and sensitively detected several known Ψ sites in 28S, 18S, 5.8S, and even mRNA. Moreover, pseU-TRACE could be employed to measure the Ψ fraction in RNA and explore the Ψ metabolism of different pseudouridine synthases (PUSs), providing valuable insights into the function of Ψ. Overall, pseU-TRACE represents a reliable, time-efficient and sensitive Ψ detection method.
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Affiliation(s)
- Xin Fang
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers-Ministry of Education, Wuhan University, Wuhan, Hubei 430072, P. R. China
| | - Ruiqi Zhao
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, P. R. China
| | - Yafen Wang
- School of Public Health, Wuhan University, Wuhan, Hubei 430071, P. R. China
| | - Mei Sun
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers-Ministry of Education, Wuhan University, Wuhan, Hubei 430072, P. R. China
| | - Jin Xu
- Medical Research Institute, Wuhan University, Wuhan, Hubei 430071, P. R. China
| | - Shengrong Long
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, P. R. China
| | - Jing Mo
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers-Ministry of Education, Wuhan University, Wuhan, Hubei 430072, P. R. China
| | - Hudan Liu
- Medical Research Institute, Wuhan University, Wuhan, Hubei 430071, P. R. China
| | - Xiang Li
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, P. R. China
| | - Fang Wang
- Wuhan University School of Pharmaceutical Sciences, Wuhan 430071, China
| | - Xiang Zhou
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers-Ministry of Education, Wuhan University, Wuhan, Hubei 430072, P. R. China
- Wuhan TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, Hubei 430071, P. R. China
| | - Xiaocheng Weng
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers-Ministry of Education, Wuhan University, Wuhan, Hubei 430072, P. R. China
- Wuhan TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, Hubei 430071, P. R. China
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10
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Pan Y, Adachi H, He X, Chen JL, Yu YT, Boutz PL. Updated Pseudo-seq Protocol for Transcriptome-Wide Detection of Pseudouridines. Bio Protoc 2024; 14:e4985. [PMID: 38737508 PMCID: PMC11082786 DOI: 10.21769/bioprotoc.4985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 04/07/2024] [Accepted: 04/09/2024] [Indexed: 05/14/2024] Open
Abstract
Pseudouridine (Ψ), the most prevalent modified base in cellular RNAs, has been mapped to numerous sites not only in rRNAs, tRNAs, and snRNAs but also mRNAs. Although there have been multiple techniques to identify Ψs, due to the recent development of sequencing technologies some reagents are not compatible with the current sequencer. Here, we show the updated Pseudo-seq, a technique enabling the genome-wide identification of pseudouridylation sites with single-nucleotide precision. We provide a comprehensive description of Pseudo-seq, covering protocols for RNA isolation from human cells, library preparation, and detailed data analysis procedures. The methodology presented is easily adaptable to any cell or tissue type with high-quality mRNA isolation. It can be used for discovering novel pseudouridylation sites, thus constituting a crucial initial step toward understanding the regulation and function of this modification. Key features • Identification of Ψ sites on mRNAs. • Updated Pseudo-seq provides precise positional and quantitative information of Ψ. • Uses a more efficient library preparation with the latest, currently available materials.
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Affiliation(s)
- Yi Pan
- University of Rochester Medical Center, Department of Biochemistry and Biophysics, Center for RNA Biology, Rochester, NY, USA
| | - Hironori Adachi
- University of Rochester Medical Center, Department of Biochemistry and Biophysics, Center for RNA Biology, Rochester, NY, USA
| | - Xueyang He
- University of Rochester Medical Center, Department of Biochemistry and Biophysics, Center for RNA Biology, Rochester, NY, USA
| | - Jonathan L. Chen
- University of Rochester Medical Center, Department of Biochemistry and Biophysics, Center for RNA Biology, Rochester, NY, USA
| | - Yi-Tao Yu
- University of Rochester Medical Center, Department of Biochemistry and Biophysics, Center for RNA Biology, Rochester, NY, USA
| | - Paul L. Boutz
- University of Rochester Medical Center, Department of Biochemistry and Biophysics, Center for RNA Biology, Rochester, NY, USA
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11
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Higdon AL, Won NH, Brar GA. Truncated protein isoforms generate diversity of protein localization and function in yeast. Cell Syst 2024; 15:388-408.e4. [PMID: 38636458 PMCID: PMC11075746 DOI: 10.1016/j.cels.2024.03.005] [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: 06/23/2023] [Revised: 01/21/2024] [Accepted: 03/20/2024] [Indexed: 04/20/2024]
Abstract
Genome-wide measurement of ribosome occupancy on mRNAs has enabled empirical identification of translated regions, but high-confidence detection of coding regions that overlap annotated coding regions has remained challenging. Here, we report a sensitive and robust algorithm that revealed the translation of 388 N-terminally truncated proteins in budding yeast-more than 30-fold more than previously known. We extensively experimentally validated them and defined two classes. The first class lacks large portions of the annotated protein and tends to be produced from a truncated transcript. We show that two such cases, Yap5truncation and Pus1truncation, have condition-specific regulation and distinct functions from their respective annotated isoforms. The second class of truncated protein isoforms lacks only a small region of the annotated protein and is less likely to be produced from an alternative transcript isoform. Many display different subcellular localizations than their annotated counterpart, representing a common strategy for dual localization of otherwise functionally identical proteins. A record of this paper's transparent peer review process is included in the supplemental information.
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Affiliation(s)
- Andrea L Higdon
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA; Center for Computational Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Nathan H Won
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Gloria A Brar
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA; Center for Computational Biology, University of California, Berkeley, Berkeley, CA 94720, USA.
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12
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Zhang M, Zhang X, Ma Y, Yi C. New directions for Ψ and m 1A decoding in mRNA: deciphering the stoichiometry and function. RNA (NEW YORK, N.Y.) 2024; 30:537-547. [PMID: 38531648 PMCID: PMC11019747 DOI: 10.1261/rna.079950.124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 02/09/2024] [Indexed: 03/28/2024]
Abstract
Over the past decade, advancements in epitranscriptomics have significantly enhanced our understanding of mRNA metabolism and its role in human development and diseases. This period has witnessed breakthroughs in sequencing technologies and the identification of key proteins involved in RNA modification processes. Alongside the well-studied m6A, Ψ and m1A have emerged as key epitranscriptomic markers. Initially identified through transcriptome-wide profiling, these modifications are now recognized for their broad impact on RNA metabolism and gene expression. In this Perspective, we focus on the detections and functions of Ψ and m1A modifications in mRNA and discuss previous discrepancies and future challenges. We summarize recent advances and highlight the latest sequencing technologies for stoichiometric detection and their mechanistic investigations for functional unveiling in mRNA as the new research directions.
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Affiliation(s)
- Meiling Zhang
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing 100871, China
| | - Xiaoting Zhang
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing 100871, China
| | - Yichen Ma
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
| | - Chengqi Yi
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing 100871, China
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
- Department of Chemical Biology and Synthetic and Functional Biomolecules Center, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
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13
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Gilbert WV. Recent developments, opportunities, and challenges in the study of mRNA pseudouridylation. RNA (NEW YORK, N.Y.) 2024; 30:530-536. [PMID: 38531650 PMCID: PMC11019745 DOI: 10.1261/rna.079975.124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 02/09/2024] [Indexed: 03/28/2024]
Abstract
Pseudouridine is an abundant mRNA modification found in diverse organisms ranging from bacteria and viruses to multicellular plants and humans. New developments in pseudouridine profiling provide quantitative tools to map mRNA pseudouridylation sites. Sparse biochemical studies establish the potential for mRNA pseudouridylation to affect most stages of the mRNA life cycle from birth to death. This recent progress sets the stage for deeper investigations into the molecular and cellular functions of specific mRNA pseudouridines, including in disease.
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Affiliation(s)
- Wendy V Gilbert
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut 06520, USA
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14
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Fanari O, Tavakoli S, Akeson S, Makhamreh A, Nian K, McCormick CA, Qiu Y, Bloch D, Jain M, Wanunu M, Rouhanifard SH. Probing enzyme-dependent pseudouridylation using direct RNA sequencing to assess neuronal epitranscriptome plasticity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.26.586895. [PMID: 38585714 PMCID: PMC10996719 DOI: 10.1101/2024.03.26.586895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Chemical modifications in mRNAs such as pseudouridine (psi) can regulate gene expression, although our understanding of the functional impact of individual psi modifications, especially in neuronal cells, is limited. We apply nanopore direct RNA sequencing to investigate psi dynamics under cellular perturbations in SH-SY5Y cells. We assign sites to psi synthases using siRNA-based knockdown. A steady-state enzyme-substrate model reveals a strong correlation between psi synthase and mRNA substrate levels and psi modification frequencies. Next, we performed either differentiation or lead-exposure to SH-SY5Y cells and found that, upon lead exposure, not differentiation, the modification frequency is less dependent on enzyme levels suggesting translational control. Finally, we compared the plasticity of psi sites across cellular states and found that plastic sites can be condition-dependent or condition-independent; several of these sites fall within transcripts encoding proteins involved in neuronal processes. Our psi analysis and validation enable investigations into the dynamics and plasticity of RNA modifications.
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Affiliation(s)
- Oleksandra Fanari
- Dept. of Bioengineering, Northeastern University, Boston, MA
- These authors contributed equally
| | - Sepideh Tavakoli
- Dept. of Bioengineering, Northeastern University, Boston, MA
- These authors contributed equally
| | - Stuart Akeson
- Dept. of Bioengineering, Northeastern University, Boston, MA
| | - Amr Makhamreh
- Dept. of Bioengineering, Northeastern University, Boston, MA
| | - Keqing Nian
- Dept. of Bioengineering, Northeastern University, Boston, MA
| | | | - Yuchen Qiu
- Dept. of Bioengineering, Northeastern University, Boston, MA
| | - Dylan Bloch
- Dept. of Bioengineering, Northeastern University, Boston, MA
| | - Miten Jain
- Dept. of Bioengineering, Northeastern University, Boston, MA
- Dept. of Physics, Northeastern University, Boston, MA
| | - Meni Wanunu
- Dept. of Bioengineering, Northeastern University, Boston, MA
- Dept. of Physics, Northeastern University, Boston, MA
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15
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Sun M, Fang X, Lin B, Mo J, Wang F, Zhou X, Weng X. Locus-specific detection of pseudouridine with CRISPR-Cas13a. Chem Commun (Camb) 2024; 60:4088-4091. [PMID: 38511312 DOI: 10.1039/d4cc00179f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/22/2024]
Abstract
We combined the CRISPR-Cas13a system with CMC chemical labeling, developing an approach that enables precise identification of pseudouridine (Ψ) sites at specific loci within ribosomal RNA (rRNA), messenger RNA (mRNA) and small nuclear RNAs (snRNA). This method, with good efficiency and simplicity, detects Ψ sites through fluorescence measurement, providing a straightforward and fast validation for targeted Ψ sites of interest.
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Affiliation(s)
- Mei Sun
- College of Chemistry and Molecular Sciences, Department of Clinical Laboratory of Zhongnan Hospital, Key Laboratory of Biomedical Polymers-Ministry of Education, Wuhan University, Wuhan, Hubei, 430072, P. R. China.
| | - Xin Fang
- College of Chemistry and Molecular Sciences, Department of Clinical Laboratory of Zhongnan Hospital, Key Laboratory of Biomedical Polymers-Ministry of Education, Wuhan University, Wuhan, Hubei, 430072, P. R. China.
| | - Bingqian Lin
- College of Chemistry and Molecular Sciences, Department of Clinical Laboratory of Zhongnan Hospital, Key Laboratory of Biomedical Polymers-Ministry of Education, Wuhan University, Wuhan, Hubei, 430072, P. R. China.
| | - Jing Mo
- College of Chemistry and Molecular Sciences, Department of Clinical Laboratory of Zhongnan Hospital, Key Laboratory of Biomedical Polymers-Ministry of Education, Wuhan University, Wuhan, Hubei, 430072, P. R. China.
| | - Fang Wang
- Wuhan University School of Pharmaceutical Sciences, Wuhan, 430071, China
| | - Xiang Zhou
- College of Chemistry and Molecular Sciences, Department of Clinical Laboratory of Zhongnan Hospital, Key Laboratory of Biomedical Polymers-Ministry of Education, Wuhan University, Wuhan, Hubei, 430072, P. R. China.
- Wuhan TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, Hubei 430071, P. R. China
| | - Xiaocheng Weng
- College of Chemistry and Molecular Sciences, Department of Clinical Laboratory of Zhongnan Hospital, Key Laboratory of Biomedical Polymers-Ministry of Education, Wuhan University, Wuhan, Hubei, 430072, P. R. China.
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16
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Wang X, Li P, Wang R, Gao X. PseUpred-ELPSO Is an Ensemble Learning Predictor with Particle Swarm Optimizer for Improving the Prediction of RNA Pseudouridine Sites. BIOLOGY 2024; 13:248. [PMID: 38666860 PMCID: PMC11048358 DOI: 10.3390/biology13040248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Revised: 03/27/2024] [Accepted: 04/01/2024] [Indexed: 04/28/2024]
Abstract
RNA pseudouridine modification exists in different RNA types of many species, and it has a significant role in regulating the expression of biological processes. To understand the functional mechanisms for RNA pseudouridine sites, the accurate identification of pseudouridine sites in RNA sequences is essential. Although several fast and inexpensive computational methods have been proposed, the challenge of improving recognition accuracy and generalization still exists. This study proposed a novel ensemble predictor called PseUpred-ELPSO for improved RNA pseudouridine site prediction. After analyzing the nucleotide composition preferences between RNA pseudouridine site sequences, two feature representations were determined and fed into the stacking ensemble framework. Then, using five tree-based machine learning classifiers as base classifiers, 30-dimensional RNA profiles are constructed to represent RNA sequences, and using the PSO algorithm, the weights of the RNA profiles were searched to further enhance the representation. A logistic regression classifier was used as a meta-classifier to complete the final predictions. Compared to the most advanced predictors, the performance of PseUpred-ELPSO is superior in both cross-validation and the independent test. Based on the PseUpred-ELPSO predictor, a free and easy-to-operate web server has been established, which will be a powerful tool for pseudouridine site identification.
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Affiliation(s)
- Xiao Wang
- School of Computer Science and Technology, Zhengzhou University of Light Industry, No. 136, Science Avenue, Zhengzhou 450002, China; (X.W.); (P.L.)
- Henan Provincial Key Laboratory of Data Intelligence for Food Safety, Zhengzhou University of Light Industry, No. 136, Science Avenue, Zhengzhou 450002, China
| | - Pengfei Li
- School of Computer Science and Technology, Zhengzhou University of Light Industry, No. 136, Science Avenue, Zhengzhou 450002, China; (X.W.); (P.L.)
| | - Rong Wang
- School of Electronic Information, Zhengzhou University of Light Industry, No. 136, Science Avenue, Zhengzhou 450002, China;
| | - Xu Gao
- National Supercomputing Center in Zhengzhou, School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou 450001, China
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17
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Gionco JT, Bernstein AI. Emerging Role of Environmental Epitranscriptomics and RNA Modifications in Parkinson's Disease. JOURNAL OF PARKINSON'S DISEASE 2024:JPD230457. [PMID: 38578904 DOI: 10.3233/jpd-230457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/07/2024]
Abstract
Environmental risk factors and gene-environment interactions play a critical role in Parkinson's disease (PD). However, the relatively large contribution of environmental risk factors in the overwhelming majority of PD cases has been widely neglected in the field. A "PD prevention agenda" proposed in this journal laid out a set of research priorities focused on preventing PD through modification of environmental risk factors. This agenda includes a call for preclinical studies to employ new high-throughput methods for analyzing transcriptomics and epigenomics to provide a deeper understanding of the effects of exposures linked to PD. Here, we focus on epitranscriptomics as a novel area of research with the potential to add to our understanding of the interplay between genes and environmental exposures in PD. Both epigenetics and epitranscriptomics have been recognized as potential mediators of the complex relationship between genes, environment, and disease. Multiple studies have identified epigenetic alterations, such as DNA methylation, associated with PD and PD-related exposures in human studies and preclinical models. In addition, recent technological advancements have made it possible to study epitranscriptomic RNA modifications, such as RNA N6-methyladenosine (m6A), and a handful of recent studies have begun to explore epitranscriptomics in PD-relevant exposure models. Continued exploration of epitranscriptomic mechanisms in environmentally relevant PD models offers the opportunity to identify biomarkers, pre-degenerative changes that precede symptom onset, and potential mitigation strategies for disease prevention and treatment.
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Affiliation(s)
- John T Gionco
- Graduate Program in Cell and Developmental Biology, Rutgers University, Piscataway, NJ, USA
| | - Alison I Bernstein
- Department of Pharmacology and Toxicology, Rutgers University, Piscataway, NJ, USA
- Environmental and Occupational Health Sciences Institute, Rutgers University, Piscataway, NJ, USA
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18
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Witzenberger M, Schwartz S. Directing RNA-modifying machineries towards endogenous RNAs: opportunities and challenges. Trends Genet 2024; 40:313-325. [PMID: 38350740 DOI: 10.1016/j.tig.2024.01.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 01/02/2024] [Accepted: 01/02/2024] [Indexed: 02/15/2024]
Abstract
Over 170 chemical modifications can be naturally installed on RNA, all of which are catalyzed by dedicated machineries. These modifications can alter RNA sequence structure, stability, and translation as well as serving as quality control marks that record aspects of RNA processing. The diverse roles played by RNAs within cells has motivated endeavors to exogenously introduce RNA modifications at target sites for diverse purposes ranging from recording RNA:protein interactions to therapeutic applications. Here, we discuss these applications and the approaches that have been employed to engineer RNA-modifying machineries, and highlight persisting challenges and perspectives.
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Affiliation(s)
- Monika Witzenberger
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot 7630031, Israel.
| | - Schraga Schwartz
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot 7630031, Israel.
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19
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Lin S, Kuang M. RNA modification-mediated mRNA translation regulation in liver cancer: mechanisms and clinical perspectives. Nat Rev Gastroenterol Hepatol 2024; 21:267-281. [PMID: 38243019 DOI: 10.1038/s41575-023-00884-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/27/2023] [Indexed: 01/21/2024]
Abstract
Malignant liver cancer is characterized by rapid tumour progression and a high mortality rate, whereas the molecular mechanisms underlying liver cancer initiation and progression are still poorly understood. The dynamic and reversible RNA modifications have crucial functions in gene expression regulation by modulating RNA processing and mRNA translation. Emerging evidence has revealed that alterations in RNA modifications facilitate the selective translation of oncogenic transcripts and promote the diverse tumorigenic processes of liver cancer. In this Review, we first highlight the current progress on the functions and mechanisms underlying RNA modifications in the regulation of mRNA translation and then summarize the exciting discoveries on aberrant RNA modification-mediated mRNA translation in the regulation of tumour initiation, metastasis, metabolism, tumour microenvironment, and drug and radiotherapy resistance in liver cancer. Finally, we discuss the diagnostic and therapeutic potentials of targeting RNA modifications and mRNA translation for the clinical management of liver cancer.
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Affiliation(s)
- Shuibin Lin
- Center for Translational Medicine, Institute of Precision Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China.
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China.
| | - Ming Kuang
- Department of Liver Surgery, Center of Hepato-Pancreato-Biliary Surgery, Institute of Precision Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China.
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong Province, China.
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20
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Chen H, Liu H, Zhang C, Xiao N, Li Y, Zhao X, Zhang R, Gu H, Kang Q, Wan J. RNA methylation-related inhibitors: Biological basis and therapeutic potential for cancer therapy. Clin Transl Med 2024; 14:e1644. [PMID: 38572667 PMCID: PMC10993167 DOI: 10.1002/ctm2.1644] [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: 12/30/2023] [Revised: 03/12/2024] [Accepted: 03/16/2024] [Indexed: 04/05/2024] Open
Abstract
RNA methylation is widespread in nature. Abnormal expression of proteins associated with RNA methylation is strongly associated with a number of human diseases including cancer. Increasing evidence suggests that targeting RNA methylation holds promise for cancer treatment. This review specifically describes several common RNA modifications, such as the relatively well-studied N6-methyladenosine, as well as 5-methylcytosine and pseudouridine (Ψ). The regulatory factors involved in these modifications and their roles in RNA are also comprehensively discussed. We summarise the diverse regulatory functions of these modifications across different types of RNAs. Furthermore, we elucidate the structural characteristics of these modifications along with the development of specific inhibitors targeting them. Additionally, recent advancements in small molecule inhibitors targeting RNA modifications are presented to underscore their immense potential and clinical significance in enhancing therapeutic efficacy against cancer. KEY POINTS: In this paper, several important types of RNA modifications and their related regulatory factors are systematically summarised. Several regulatory factors related to RNA modification types were associated with cancer progression, and their relationships with cancer cell migration, invasion, drug resistance and immune environment were summarised. In this paper, the inhibitors targeting different regulators that have been proposed in recent studies are summarised in detail, which is of great significance for the development of RNA modification regulators and cancer treatment in the future.
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Affiliation(s)
- Huanxiang Chen
- Department of Clinical LaboratoryThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
- School of Life ScienceZhengzhou UniversityZhengzhouChina
| | - Hongyang Liu
- Department of Obstetrics and GynecologyThe Third Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Chenxing Zhang
- Department of Clinical LaboratoryThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Nan Xiao
- Department of Clinical LaboratoryThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Yang Li
- Department of Clinical LaboratoryThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | | | - Ruike Zhang
- Academy of Medical SciencesZhengzhou UniversityZhengzhouChina
| | - Huihui Gu
- Academy of Medical SciencesZhengzhou UniversityZhengzhouChina
| | - Qiaozhen Kang
- School of Life ScienceZhengzhou UniversityZhengzhouChina
| | - Junhu Wan
- Department of Clinical LaboratoryThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
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21
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Chen M, Sun M, Su X, Tiwari P, Ding Y. Fuzzy kernel evidence Random Forest for identifying pseudouridine sites. Brief Bioinform 2024; 25:bbae169. [PMID: 38622357 PMCID: PMC11018548 DOI: 10.1093/bib/bbae169] [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: 01/18/2024] [Revised: 03/27/2024] [Accepted: 03/31/2024] [Indexed: 04/17/2024] Open
Abstract
Pseudouridine is an RNA modification that is widely distributed in both prokaryotes and eukaryotes, and plays a critical role in numerous biological activities. Despite its importance, the precise identification of pseudouridine sites through experimental approaches poses significant challenges, requiring substantial time and resources.Therefore, there is a growing need for computational techniques that can reliably and quickly identify pseudouridine sites from vast amounts of RNA sequencing data. In this study, we propose fuzzy kernel evidence Random Forest (FKeERF) to identify pseudouridine sites. This method is called PseU-FKeERF, which demonstrates high accuracy in identifying pseudouridine sites from RNA sequencing data. The PseU-FKeERF model selected four RNA feature coding schemes with relatively good performance for feature combination, and then input them into the newly proposed FKeERF method for category prediction. FKeERF not only uses fuzzy logic to expand the original feature space, but also combines kernel methods that are easy to interpret in general for category prediction. Both cross-validation tests and independent tests on benchmark datasets have shown that PseU-FKeERF has better predictive performance than several state-of-the-art methods. This new method not only improves the accuracy of pseudouridine site identification, but also provides a certain reference for disease control and related drug development in the future.
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Affiliation(s)
- Mingshuai Chen
- Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China
- Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou 324003, China
| | - Mingai Sun
- Beidahuang Industry Group General Hospital, Harbin 150001, China
| | - Xi Su
- Foshan Women and Children Hospital, Foshan 528000, China
| | - Prayag Tiwari
- School of Information Technology, Halmstad University, Sweden
| | - Yijie Ding
- Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou 324003, China
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22
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Liu WW, Zheng SQ, Li T, Fei YF, Wang C, Zhang S, Wang F, Jiang GM, Wang H. RNA modifications in cellular metabolism: implications for metabolism-targeted therapy and immunotherapy. Signal Transduct Target Ther 2024; 9:70. [PMID: 38531882 DOI: 10.1038/s41392-024-01777-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Revised: 02/08/2024] [Accepted: 02/19/2024] [Indexed: 03/28/2024] Open
Abstract
Cellular metabolism is an intricate network satisfying bioenergetic and biosynthesis requirements of cells. Relevant studies have been constantly making inroads in our understanding of pathophysiology, and inspiring development of therapeutics. As a crucial component of epigenetics at post-transcription level, RNA modification significantly determines RNA fates, further affecting various biological processes and cellular phenotypes. To be noted, immunometabolism defines the metabolic alterations occur on immune cells in different stages and immunological contexts. In this review, we characterize the distribution features, modifying mechanisms and biological functions of 8 RNA modifications, including N6-methyladenosine (m6A), N6,2'-O-dimethyladenosine (m6Am), N1-methyladenosine (m1A), 5-methylcytosine (m5C), N4-acetylcytosine (ac4C), N7-methylguanosine (m7G), Pseudouridine (Ψ), adenosine-to-inosine (A-to-I) editing, which are relatively the most studied types. Then regulatory roles of these RNA modification on metabolism in diverse health and disease contexts are comprehensively described, categorized as glucose, lipid, amino acid, and mitochondrial metabolism. And we highlight the regulation of RNA modifications on immunometabolism, further influencing immune responses. Above all, we provide a thorough discussion about clinical implications of RNA modification in metabolism-targeted therapy and immunotherapy, progression of RNA modification-targeted agents, and its potential in RNA-targeted therapeutics. Eventually, we give legitimate perspectives for future researches in this field from methodological requirements, mechanistic insights, to therapeutic applications.
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Affiliation(s)
- Wei-Wei Liu
- Department of Laboratory Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- School of Clinical Medicine, Shandong University, Jinan, China
| | - Si-Qing Zheng
- Department of Laboratory Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Core Unit of National Clinical Research Center for Laboratory Medicine, Hefei, China
| | - Tian Li
- Department of Laboratory Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Core Unit of National Clinical Research Center for Laboratory Medicine, Hefei, China
| | - Yun-Fei Fei
- Department of Laboratory Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Core Unit of National Clinical Research Center for Laboratory Medicine, Hefei, China
| | - Chen Wang
- Department of Laboratory Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Core Unit of National Clinical Research Center for Laboratory Medicine, Hefei, China
| | - Shuang Zhang
- Department of Laboratory Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Core Unit of National Clinical Research Center for Laboratory Medicine, Hefei, China
| | - Fei Wang
- Neurosurgical Department, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
| | - Guan-Min Jiang
- Department of Clinical Laboratory, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China.
| | - Hao Wang
- Department of Laboratory Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
- Core Unit of National Clinical Research Center for Laboratory Medicine, Hefei, China.
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23
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Shi D, Wang B, Li H, Lian Y, Ma Q, Liu T, Cao M, Ma Y, Shi L, Yuan W, Shi J, Chu Y. Pseudouridine synthase 1 regulates erythropoiesis via transfer RNAs pseudouridylation and cytoplasmic translation. iScience 2024; 27:109265. [PMID: 38450158 PMCID: PMC10915626 DOI: 10.1016/j.isci.2024.109265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 12/21/2023] [Accepted: 02/14/2024] [Indexed: 03/08/2024] Open
Abstract
Pseudouridylation plays a regulatory role in various physiological and pathological processes. A prime example is the mitochondrial myopathy, lactic acidosis, and sideroblastic anemia syndrome (MLASA), characterized by defective pseudouridylation resulting from genetic mutations in pseudouridine synthase 1 (PUS1). However, the roles and mechanisms of pseudouridylation in normal erythropoiesis and MLASA-related anemia remain elusive. We established a mouse model carrying a point mutation (R110W) in the enzymatic domain of PUS1, mimicking the common mutation in human MLASA. Pus1-mutant mice exhibited anemia at 4 weeks old. Impaired mitochondrial oxidative phosphorylation was also observed in mutant erythroblasts. Mechanistically, mutant erythroblasts showed defective pseudouridylation of targeted tRNAs, altered tRNA profiles, decreased translation efficiency of ribosomal protein genes, and reduced globin synthesis, culminating in ineffective erythropoiesis. Our study thus provided direct evidence that pseudouridylation participates in erythropoiesis in vivo. We demonstrated the critical role of pseudouridylation in regulating tRNA homeostasis, cytoplasmic translation, and erythropoiesis.
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Affiliation(s)
- Deyang Shi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
- Tianjin Institutes of Health Science, Tianjin 301600, China
- Department of Hematology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, Henan 450003, China
| | - Bichen Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
- Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Haoyuan Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
- Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Yu Lian
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
| | - Qiuyi Ma
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
- Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Tong Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
- Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Mutian Cao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
- Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Yuanwu Ma
- Key Laboratory of Human Disease Comparative Medicine, National Health Commission of China (NHC), Institute of Laboratory Animal Science, Peking Union Medicine College, Chinese Academy of Medical Sciences, Beijing 100021, China
| | - Lei Shi
- Key Laboratory of Breast Cancer Prevention and Therapy (Ministry of Education), Haihe Laboratory of Cell Ecosystem, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Weiping Yuan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
- Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Jun Shi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
- Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Yajing Chu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
- Tianjin Institutes of Health Science, Tianjin 301600, China
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24
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Sun J, Li Y, Tian H, Chen H, Li J, Li Z. Comprehensive analysis identifies long non-coding RNA RNASEH1-AS1 as a potential prognostic biomarker and oncogenic target in hepatocellular carcinoma. Am J Cancer Res 2024; 14:996-1014. [PMID: 38590422 PMCID: PMC10998738 DOI: 10.62347/jphf4071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 02/22/2024] [Indexed: 04/10/2024] Open
Abstract
RNASEH1-AS1, a long non-coding RNA (lncRNA) divergently transcribed from the antisense strand of its neighboring protein-coding gene ribonuclease H1 (RNASEH1), has recently been demonstrated to be involved in tumor progression. However, the association between RNASEH1-AS1 and hepatocellular carcinoma (HCC) remains unclear. In the present study, first, the expression of RNASEH1-AS1 in HCC and its correlation with clinicopathological features, prognosis, diagnosis, immune cell infiltration of HCC patients was inspected using relevant R packages based on The Cancer Genome Atlas (TCGA) data. RNASEH1-AS1 was found to be up-regulated in most cancer types, including HCC, and its overexpression was significantly associated with histologic grade and AFP level as well as poor prognosis, and was an independent risk factor affecting overall survival with good diagnostic and prognostic values for HCC. RNASEH1-AS1 was inversely associated with the infiltration of most immune cell types, including plasmacytoid dendritic cells (pDC), B cells and neutrophils. Second, a total of 1109 positively co-expressed genes (PCEGs) of RNASEH1-AS1 were screened out in HCC by correlation analysis in batches (|Spearman's r| >0.4 and adjusted P value <0.01). GO and KEGG enrichment analysis indicated that PCEGs of RNASEH1-AS1 were mainly related to RNA processing, ribosome biogenesis, transcription and histone acetylation. The top 10 hub genes (EIF4A3, WDR43, WDR12, DKC1, NAT10, UTP18, DDX18, BYSL, DDX10, PDCD11) were identified by constructing the protein-protein interaction (PPI) network, and they were all highly expressed in HCC and positively correlated with histological grade. Third, a risk model was constructed based on four RNASEH1-AS1-related hub genes (EIF4A3, WDR12, DKC1, and NAT10) with good prognostic predictive potential via univariate Cox and the least absolute selection operator (LASSO) regression analysis. Fourth, experimental validation revealed that RNASEH1-AS1 was significantly elevated in HCC tissues and several cell lines, and its knockdown could suppress the proliferation, migration, and invasion of HCC cells. Finally, mechanistic studies demonstrated that the stability of RNASEH1-AS1 could be regulated by DKC1 via their direct interaction. Taken together, RNASEH1-AS1 may serve as a potential prognostic and diagnostic biomarker and oncogenic lncRNA for HCC.
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Affiliation(s)
- Jin Sun
- National and Local Joint Engineering Research Center of Biodiagnostics and Biotherapy, Xi’an Jiaotong UniversityXi’an, Shaanxi, China
- Shaanxi Provincial Clinical Research Center for Hepatic and Splenic Diseases, The Second Affiliated Hospital of Xi’an Jiaotong UniversityXi’an, Shaanxi, China
- Center for Tumor and Immunology, The Precision Medical Institute, Xi’an Jiaotong UniversityXi’an, Shaanxi, China
| | - Yingnan Li
- Center for Tumor and Immunology, The Precision Medical Institute, Xi’an Jiaotong UniversityXi’an, Shaanxi, China
| | - Hongwei Tian
- National and Local Joint Engineering Research Center of Biodiagnostics and Biotherapy, Xi’an Jiaotong UniversityXi’an, Shaanxi, China
- Shaanxi Provincial Clinical Research Center for Hepatic and Splenic Diseases, The Second Affiliated Hospital of Xi’an Jiaotong UniversityXi’an, Shaanxi, China
- Center for Tumor and Immunology, The Precision Medical Institute, Xi’an Jiaotong UniversityXi’an, Shaanxi, China
| | - Haiyan Chen
- National and Local Joint Engineering Research Center of Biodiagnostics and Biotherapy, Xi’an Jiaotong UniversityXi’an, Shaanxi, China
- Core Research Laboratory, The Second Affiliated Hospital of Xi’an Jiaotong UniversityXi’an, Shaanxi, China
| | - Jun Li
- National and Local Joint Engineering Research Center of Biodiagnostics and Biotherapy, Xi’an Jiaotong UniversityXi’an, Shaanxi, China
- Shaanxi Provincial Clinical Research Center for Hepatic and Splenic Diseases, The Second Affiliated Hospital of Xi’an Jiaotong UniversityXi’an, Shaanxi, China
- Center for Tumor and Immunology, The Precision Medical Institute, Xi’an Jiaotong UniversityXi’an, Shaanxi, China
| | - Zongfang Li
- Department of General Surgery, The Second Affiliated Hospital of Xi’an Jiaotong UniversityXi’an, Shaanxi, China
- National and Local Joint Engineering Research Center of Biodiagnostics and Biotherapy, Xi’an Jiaotong UniversityXi’an, Shaanxi, China
- Shaanxi Provincial Clinical Research Center for Hepatic and Splenic Diseases, The Second Affiliated Hospital of Xi’an Jiaotong UniversityXi’an, Shaanxi, China
- Center for Tumor and Immunology, The Precision Medical Institute, Xi’an Jiaotong UniversityXi’an, Shaanxi, China
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25
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Kang J, Rhee J, Wang C, Yang Y, Li G, Li H. Unlocking the dark matter: noncoding RNAs and RNA modifications in cardiac aging. Am J Physiol Heart Circ Physiol 2024; 326:H832-H844. [PMID: 38305752 DOI: 10.1152/ajpheart.00532.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 01/29/2024] [Accepted: 01/29/2024] [Indexed: 02/03/2024]
Abstract
Cardiac aging is a multifaceted process that encompasses structural and functional alterations culminating in heart failure. As the elderly population continues to expand, there is a growing urgent need for interventions to combat age-related cardiac functional decline. Noncoding RNAs have emerged as critical regulators of cellular and biochemical processes underlying cardiac disease. This review summarizes our current understanding of how noncoding RNAs function in the heart during aging, with particular emphasis on mechanisms of RNA modification that control their activity. Targeting noncoding RNAs as potential novel therapeutics in cardiac aging is also discussed.
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Affiliation(s)
- Jiayi Kang
- Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States
| | - James Rhee
- Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States
- Department of Anaesthesia, Harvard Medical School, Boston, Massachusetts, United States
| | - Chunyan Wang
- Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States
| | - Yolander Yang
- Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States
| | - Guoping Li
- Department of Anaesthesia, Harvard Medical School, Boston, Massachusetts, United States
- Cardiovascular Research Center, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States
| | - Haobo Li
- Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States
- Department of Anaesthesia, Harvard Medical School, Boston, Massachusetts, United States
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26
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Guo G, Lin Y, Zhu X, Ding F, Xue X, Zhang Q. Emerging roles of the epitranscriptome in parasitic protozoan biology and pathogenesis. Trends Parasitol 2024; 40:214-229. [PMID: 38355313 DOI: 10.1016/j.pt.2024.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Revised: 01/16/2024] [Accepted: 01/17/2024] [Indexed: 02/16/2024]
Abstract
RNA modifications (epitranscriptome) - such as N6-methyladenosine (m6A), 5-methylcytosine (m5C), and pseudouridine (Ψ) - modulate RNA processing, stability, interaction, and translation, thereby playing critical roles in the development, replication, virulence, metabolism, and life cycle adaptations of parasitic protozoa. Here, we summarize potential homologs of the major human RNA modification regulatory factors in parasites, outline current knowledge on how RNA modifications affect parasitic protozoa, highlight the regulation of RNA modifications and their crosstalk, and discuss current progress in exploring RNA modifications as potential drug targets. This review contributes to our understanding of epitranscriptomic regulation of parasitic protozoa biology and pathogenesis and provides new perspectives for the treatment of parasitic diseases.
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Affiliation(s)
- Gangqiang Guo
- Wenzhou Collaborative Innovation Center of Gastrointestinal Cancer in Basic Research and Precision Medicine, Wenzhou Key Laboratory of Cancer-related Pathogens and Immunity, Department of Microbiology and Immunology, Institute of Molecular Virology and Immunology, Institute of Tropical Medicine, School of Basic Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Yutong Lin
- First Clinical College, Wenzhou Medical University, Wenzhou, China
| | - Xinqi Zhu
- First Clinical College, Wenzhou Medical University, Wenzhou, China
| | - Feng Ding
- Department of Microbiology and Immunology, School of Basic Medical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Xiangyang Xue
- Wenzhou Collaborative Innovation Center of Gastrointestinal Cancer in Basic Research and Precision Medicine, Wenzhou Key Laboratory of Cancer-related Pathogens and Immunity, Department of Microbiology and Immunology, Institute of Molecular Virology and Immunology, Institute of Tropical Medicine, School of Basic Medical Sciences, Wenzhou Medical University, Wenzhou, China.
| | - Qingfeng Zhang
- Laboratory of Molecular Parasitology, State Key Laboratory of Cardiology and Research Center for Translational Medicine, Shanghai East Hospital; Clinical Center for Brain and Spinal Cord Research, School of Medicine, Tongji University, Shanghai 200120, China.
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27
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Zacchini F, Barozzi C, Venturi G, Montanaro L. How snoRNAs can contribute to cancer at multiple levels. NAR Cancer 2024; 6:zcae005. [PMID: 38406265 PMCID: PMC10894041 DOI: 10.1093/narcan/zcae005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 02/05/2024] [Accepted: 02/12/2024] [Indexed: 02/27/2024] Open
Abstract
snoRNAs are a class of non-coding RNAs known to guide site specifically RNA modifications such as 2'-O-methylation and pseudouridylation. Recent results regarding snoRNA alterations in cancer has been made available and suggest their potential evaluation as diagnostic and prognostic biomarkers. A large part of these data, however, was not consistently confirmed and failed to provide mechanistic insights on the contribution of altered snoRNA expression to the neoplastic process. Here, we aim to critically review the available literature on snoRNA in cancer focusing on the studies elucidating the functional consequences of their deregulation. Beyond the canonical guide function in RNA processing and modification we also considered additional roles in which snoRNA, in various forms and through different modalities, are involved and that have been recently reported.
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Affiliation(s)
- Federico Zacchini
- Departmental Program in Laboratory Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, I-40138 Bologna, Italy
| | - Chiara Barozzi
- Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum - University of Bologna, Bologna I-40138, Italy
| | - Giulia Venturi
- Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum - University of Bologna, Bologna I-40138, Italy
- Centre for Applied Biomedical Research – CRBA, University of Bologna, Sant’Orsola Hospital, Bologna I-40138, Italy
| | - Lorenzo Montanaro
- Departmental Program in Laboratory Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, I-40138 Bologna, Italy
- Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum - University of Bologna, Bologna I-40138, Italy
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28
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Sharma H, Valentine MNZ, Toki N, Sueki HN, Gustincich S, Takahashi H, Carninci P. Decryption of sequence, structure, and functional features of SINE repeat elements in SINEUP non-coding RNA-mediated post-transcriptional gene regulation. Nat Commun 2024; 15:1400. [PMID: 38383605 PMCID: PMC10881587 DOI: 10.1038/s41467-024-45517-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 01/26/2024] [Indexed: 02/23/2024] Open
Abstract
RNA structure folding largely influences RNA regulation by providing flexibility and functional diversity. In silico and in vitro analyses are limited in their ability to capture the intricate relationships between dynamic RNA structure and RNA functional diversity present in the cell. Here, we investigate sequence, structure and functional features of mouse and human SINE-transcribed retrotransposons embedded in SINEUPs long non-coding RNAs, which positively regulate target gene expression post-transcriptionally. In-cell secondary structure probing reveals that functional SINEs-derived RNAs contain conserved short structure motifs essential for SINEUP-induced translation enhancement. We show that SINE RNA structure dynamically changes between the nucleus and cytoplasm and is associated with compartment-specific binding to RBP and related functions. Moreover, RNA-RNA interaction analysis shows that the SINE-derived RNAs interact directly with ribosomal RNAs, suggesting a mechanism of translation regulation. We further predict the architecture of 18 SINE RNAs in three dimensions guided by experimental secondary structure data. Overall, we demonstrate that the conservation of short key features involved in interactions with RBPs and ribosomal RNA drives the convergent function of evolutionarily distant SINE-transcribed RNAs.
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Affiliation(s)
- Harshita Sharma
- Laboratory for Transcriptome Technology, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan
| | - Matthew N Z Valentine
- Laboratory for Transcriptome Technology, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan
| | - Naoko Toki
- Laboratory for Transcriptome Technology, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan
| | - Hiromi Nishiyori Sueki
- Laboratory for Transcriptome Technology, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan
| | | | - Hazuki Takahashi
- Laboratory for Transcriptome Technology, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan.
| | - Piero Carninci
- Laboratory for Transcriptome Technology, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan.
- Human Technopole, Milan, 20157, Italy.
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29
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Zhang X, Wu L, Jia L, Hu X, Yao Y, Liu H, Ma J, Wang W, Li L, Chen K, Liu B. The implication of integrative multiple RNA modification-based subtypes in gastric cancer immunotherapy and prognosis. iScience 2024; 27:108897. [PMID: 38318382 PMCID: PMC10839690 DOI: 10.1016/j.isci.2024.108897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 10/28/2023] [Accepted: 01/09/2024] [Indexed: 02/07/2024] Open
Abstract
Previous studies have focused on the impact of individual RNA modifications on tumor development. This study comprehensively investigated the effects of multiple RNA modifications, including m6A, alternative polyadenylation, pseudouridine, adenosine-to-inosine editing, and uridylation, on gastric cancer (GC). By analyzing 1,946 GC samples from eleven independent cohorts, we identified distinct clusters of RNA modification genes with varying survival rates and immunological characteristics. We assessed the chromatin activity of these RNA modification clusters through regulon enrichment analysis. A prognostic model was developed using Stepwise Regression and Random Survival Forest algorithms and validated in ten independent datasets. Notably, the low-risk group showed a more favorable prognosis and positive response to immune checkpoint blockade therapy. Single-cell RNA sequencing confirmed the abundant expression of signature genes in B cells and plasma cells. Overall, our findings shed light on the potential significance of multiple RNA modifications in GC prognosis, stemness development, and chemotherapy resistance.
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Affiliation(s)
- Xiangnan Zhang
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Human Major Diseases, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300060, China
| | - Liuxing Wu
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Human Major Diseases, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300060, China
- Department of Bioinformatics, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China
| | - Liqing Jia
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Human Major Diseases, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300060, China
| | - Xin Hu
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Human Major Diseases, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300060, China
| | - Yanxin Yao
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Human Major Diseases, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300060, China
| | - Huahuan Liu
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Human Major Diseases, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300060, China
| | - Junfu Ma
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Human Major Diseases, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300060, China
| | - Wei Wang
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Human Major Diseases, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300060, China
| | - Lian Li
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Human Major Diseases, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300060, China
| | - Kexin Chen
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Human Major Diseases, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300060, China
| | - Ben Liu
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Human Major Diseases, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300060, China
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30
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Motorin Y, Helm M. General Principles and Limitations for Detection of RNA Modifications by Sequencing. Acc Chem Res 2024; 57:275-288. [PMID: 38065564 PMCID: PMC10851944 DOI: 10.1021/acs.accounts.3c00529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 10/31/2023] [Accepted: 11/07/2023] [Indexed: 02/07/2024]
Abstract
ConspectusAmong the many analytical methods applied to RNA modifications, a particularly pronounced surge has occurred in the past decade in the field of modification mapping. The occurrence of modifications such as m6A in mRNA, albeit known since the 1980s, became amenable to transcriptome-wide analyses through the advent of next-generation sequencing techniques in a rather sudden manner. The term "mapping" here refers to detection of RNA modifications in a sequence context, which has a dramatic impact on the interpretation of biological functions. As a consequence, an impressive number of mapping techniques were published, most in the perspective of what now has become known as "epitranscriptomics". While more and more different modifications were reported to occur in mRNA, conflicting reports and controversial results pointed to a number of technical and theoretical problems rooted in analytics, statistics, and reagents. Rather than finding the proverbial needle in a haystack, the tasks were to determine how many needles of what color in what size of a haystack one was looking at.As the authors of this Account, we think it important to outline the limitations of different mapping methods since many life scientists freshly entering the field confuse the accuracy and precision of modification mapping with that of normal sequencing, which already features numerous caveats by itself. Indeed, we propose here to qualify a specific mapping method by the size of the transcriptome that can be meaningfully analyzed with it.We here focus on high throughput sequencing by Illumina technology, referred to as RNA-Seq. We noted with interest the development of methods for modification detection by other high throughput sequencing platforms that act directly on RNA, e.g., PacBio SMRT and nanopore sequencing, but those are not considered here.In contrast to approaches relying on direct RNA sequencing, current Illumina RNA-Seq protocols require prior conversion of RNA into DNA. This conversion relies on reverse transcription (RT) to create cDNA; thereafter, the cDNA undergoes a sequencing-by-synthesis type of analysis. Thus, a particular behavior of RNA modified nucleotides during the RT-step is a prerequisite for their detection (and quantification) by deep sequencing, and RT properties have great influence on the detection efficiency and reliability. Moreover, the RT-step requires annealing of a synthetic primer, a prerequisite with a crucial impact on library preparation. Thus, all RNA-Seq protocols must feature steps for the introduction of primers, primer landing sites, or adapters on both the RNA 3'- and 5'-ends.
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Affiliation(s)
- Yuri Motorin
- Université
de Lorraine, UMR7365 IMoPA CNRS-UL
and UAR2008/US40 IBSLor CNRS-Inserm, Biopole UL, Nancy F54000, France
| | - Mark Helm
- Institute
of Pharmaceutical and Biomedical Sciences, Johannes Gutenberg-University Mainz, Staudingerweg 5, 55128 Mainz, Germany
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31
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Bansal M, Kundu A, Gibson A, Gupta A, Ding J, RudraRaju SV, Sudarshan S, Ding HF. Transcriptome-wide quantitative profiling of PUS7-dependent pseudouridylation by nanopore direct long read RNA sequencing. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.31.578250. [PMID: 38352483 PMCID: PMC10862782 DOI: 10.1101/2024.01.31.578250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/01/2024]
Abstract
Pseudouridylation is a prevalent post-transcriptional RNA modification that impacts many aspects of RNA biology and function. The conversion of uridine to pseudouridine (Ψ) is catalyzed by the family of pseudouridine synthases (PUSs). Development of robust methods to determine PUS-dependent regulation of Ψ location and stoichiometry in low abundant mRNA is essential for biological and functional understanding of pseudouridylation. Here, we present a framework, NanoPsiPy, for identifying Ψ sites and quantify their levels in poly-A RNA at single-nucleotide resolution using direct RNA long-read Nanopore sequencing, based on the observation that Ψ can cause characteristic U-to-C basecalling errors in Nanopore direct RNA sequencing data. Our method was able to detect low and high stoichiometric Ψ sites in human mRNA. We validated our method by transcriptome-wide quantitative profiling of PUS7-dependent Ψ sites in poly-A RNA from a MYCN -amplified neuroblastoma cell line. We identified 8,625 PUS7-dependent Ψ sites in 1,246 mRNAs that encode proteins involved primarily in ribosome biogenesis, translation, and mitochondrial energy metabolism. Our work provides the first example of using direct RNA long-read Nanopore sequencing for transcriptome-wide quantitative profiling of mRNA pseudouridylation regulated by a PUS. We envision that our method will facilitate functional interrogation of PUSs in biological and pathological processes.
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32
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Zhang LS, Ye C, Ju CW, Gao B, Feng X, Sun HL, Wei J, Yang F, Dai Q, He C. BID-seq for transcriptome-wide quantitative sequencing of mRNA pseudouridine at base resolution. Nat Protoc 2024; 19:517-538. [PMID: 37968414 PMCID: PMC11007761 DOI: 10.1038/s41596-023-00917-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 09/25/2023] [Indexed: 11/17/2023]
Abstract
Pseudouridine (Ψ) is an abundant RNA modification that is present in and affects the functions of diverse non-coding RNA species, including rRNA, tRNA and small nuclear RNA. Ψ also exists in mammalian mRNA and probably exhibits functional roles; however, functional investigations of mRNA Ψ modifications in mammals have been hampered by the lack of a quantitative method that detects Ψ at base precision. We have recently developed bisulfite-induced deletion sequencing (BID-seq), which provides the community with a quantitative method to map RNA Ψ distribution transcriptome-wide at single-base resolution. Here, we describe an optimized BID-seq protocol for mapping Ψ distribution across cellular mRNAs, which includes fast steps in both library preparation and data analysis. This protocol generates highly reproducible results by inducing high deletion ratios at Ψ modification within diverse sequence contexts, and meanwhile displayed almost zero background deletions at unmodified uridines. When used for transcriptome-wide Ψ profiling in mouse embryonic stem cells, the current protocol uncovered 8,407 Ψ sites from as little as 10 ng of polyA+ RNA input. This optimized BID-seq workflow takes 5 days to complete and includes four main sections: RNA preparation, library construction, next-generation sequencing (NGS) and data analysis. Library construction can be completed by researchers who have basic knowledge and skills in molecular biology and genetics. In addition to the experimental protocol, we provide BID-pipe ( https://github.com/y9c/pseudoU-BIDseq ), a user-friendly data analysis pipeline for Ψ site detection and modification stoichiometry quantification, requiring only basic bioinformatic and computational skills to uncover Ψ signatures from BID-seq data.
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Affiliation(s)
- Li-Sheng Zhang
- Department of Chemistry, The University of Chicago, Chicago, IL, USA
- Howard Hughes Medical Institute, The University of Chicago, Chicago, IL, USA
- Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong SAR, China
- Department of Chemistry, The Hong Kong University of Science and Technology, Hong Kong SAR, China
| | - Chang Ye
- Department of Chemistry, The University of Chicago, Chicago, IL, USA
- Howard Hughes Medical Institute, The University of Chicago, Chicago, IL, USA
| | - Cheng-Wei Ju
- Howard Hughes Medical Institute, The University of Chicago, Chicago, IL, USA
- Pritzker School of Molecular Engineering, The University of Chicago, Chicago, IL, USA
| | - Boyang Gao
- Department of Chemistry, The University of Chicago, Chicago, IL, USA
- Howard Hughes Medical Institute, The University of Chicago, Chicago, IL, USA
| | - Xinran Feng
- Howard Hughes Medical Institute, The University of Chicago, Chicago, IL, USA
- Department of Human Genetics, The University of Chicago, Chicago, IL, USA
| | - Hui-Lung Sun
- Department of Chemistry, The University of Chicago, Chicago, IL, USA
- Howard Hughes Medical Institute, The University of Chicago, Chicago, IL, USA
| | - Jiangbo Wei
- Department of Chemistry, The University of Chicago, Chicago, IL, USA
- Howard Hughes Medical Institute, The University of Chicago, Chicago, IL, USA
| | - Fan Yang
- Department of Chemistry, The University of Chicago, Chicago, IL, USA
- Howard Hughes Medical Institute, The University of Chicago, Chicago, IL, USA
| | - Qing Dai
- Department of Chemistry, The University of Chicago, Chicago, IL, USA.
- Howard Hughes Medical Institute, The University of Chicago, Chicago, IL, USA.
| | - Chuan He
- Department of Chemistry, The University of Chicago, Chicago, IL, USA.
- Howard Hughes Medical Institute, The University of Chicago, Chicago, IL, USA.
- Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL, USA.
- Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, USA.
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33
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Delaunay S, Helm M, Frye M. RNA modifications in physiology and disease: towards clinical applications. Nat Rev Genet 2024; 25:104-122. [PMID: 37714958 DOI: 10.1038/s41576-023-00645-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/25/2023] [Indexed: 09/17/2023]
Abstract
The ability of chemical modifications of single nucleotides to alter the electrostatic charge, hydrophobic surface and base pairing of RNA molecules is exploited for the clinical use of stable artificial RNAs such as mRNA vaccines and synthetic small RNA molecules - to increase or decrease the expression of therapeutic proteins. Furthermore, naturally occurring biochemical modifications of nucleotides regulate RNA metabolism and function to modulate crucial cellular processes. Studies showing the mechanisms by which RNA modifications regulate basic cell functions in higher organisms have led to greater understanding of how aberrant RNA modification profiles can cause disease in humans. Together, these basic science discoveries have unravelled the molecular and cellular functions of RNA modifications, have provided new prospects for therapeutic manipulation and have led to a range of innovative clinical approaches.
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Affiliation(s)
- Sylvain Delaunay
- Deutsches Krebsforschungszentrum (DKFZ), Division of Mechanisms Regulating Gene Expression, Heidelberg, Germany
| | - Mark Helm
- Institute of Pharmaceutical and Biomedical Sciences, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Michaela Frye
- Deutsches Krebsforschungszentrum (DKFZ), Division of Mechanisms Regulating Gene Expression, Heidelberg, Germany.
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Yang C, Wu D, Lin H, Ma D, Fu W, Yao Y, Pan X, Wang S, Zhuang Z. Role of RNA Modifications, Especially m6A, in Aflatoxin Biosynthesis of Aspergillus flavus. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:726-741. [PMID: 38112282 DOI: 10.1021/acs.jafc.3c05926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Abstract
RNA modifications play key roles in eukaryotes, but the functions in Aspergillus flavus are still unknown. Temperature has been reported previously to be a critical environmental factor that regulates the aflatoxin production of A. flavus, but much remains to be learned about the molecular networks. Here, we demonstrated that 12 kinds of RNA modifications in A. flavus were significantly changed under 29 °C compared to 37 °C incubation; among them, m6A was further verified by a colorimetric method. Then, the transcriptome-wide m6A methylome and m6A-altered genes were comprehensively illuminated through methylated RNA immunoprecipitation sequencing and RNA sequencing, from which 22 differentially methylated and expressed transcripts under 29 °C were screened out. It is especially notable that AFCA_009549, an aflatoxin biosynthetic pathway gene (aflQ), and the m6A methylation of its 332nd adenine in the mRNA significantly affect aflatoxin biosynthesis in A. flavus both on media and crop kernels. The content of sterigmatocystin in both ΔaflQ and aflQA332C strains was significantly higher than that in the WT strain. Together, these findings reveal that RNA modifications are associated with secondary metabolite biosynthesis of A. flavus.
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Affiliation(s)
- Chi Yang
- Key Laboratory of Pathogenic Fungi and Mycotoxins of Fujian Province, Key Laboratory of Biopesticide and Chemical Biology of Education Ministry, Proteomic Research Center, and School of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Institute of Edible Mushroom, Fujian Academy of Agricultural Sciences, Fuzhou 350012, China
| | - Dandan Wu
- Key Laboratory of Pathogenic Fungi and Mycotoxins of Fujian Province, Key Laboratory of Biopesticide and Chemical Biology of Education Ministry, Proteomic Research Center, and School of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Hong Lin
- Key Laboratory of Pathogenic Fungi and Mycotoxins of Fujian Province, Key Laboratory of Biopesticide and Chemical Biology of Education Ministry, Proteomic Research Center, and School of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Dongmei Ma
- Key Laboratory of Pathogenic Fungi and Mycotoxins of Fujian Province, Key Laboratory of Biopesticide and Chemical Biology of Education Ministry, Proteomic Research Center, and School of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- College of Animal Sciences (College of Bee Science), Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Wangzhuo Fu
- Key Laboratory of Pathogenic Fungi and Mycotoxins of Fujian Province, Key Laboratory of Biopesticide and Chemical Biology of Education Ministry, Proteomic Research Center, and School of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Yanfang Yao
- Key Laboratory of Pathogenic Fungi and Mycotoxins of Fujian Province, Key Laboratory of Biopesticide and Chemical Biology of Education Ministry, Proteomic Research Center, and School of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Xiaohua Pan
- Key Laboratory of Pathogenic Fungi and Mycotoxins of Fujian Province, Key Laboratory of Biopesticide and Chemical Biology of Education Ministry, Proteomic Research Center, and School of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Shihua Wang
- Key Laboratory of Pathogenic Fungi and Mycotoxins of Fujian Province, Key Laboratory of Biopesticide and Chemical Biology of Education Ministry, Proteomic Research Center, and School of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Zhenhong Zhuang
- Key Laboratory of Pathogenic Fungi and Mycotoxins of Fujian Province, Key Laboratory of Biopesticide and Chemical Biology of Education Ministry, Proteomic Research Center, and School of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
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Chen JL, Leeder WM, Morais P, Adachi H, Yu YT. Pseudouridylation-mediated gene expression modulation. Biochem J 2024; 481:1-16. [PMID: 38174858 DOI: 10.1042/bcj20230096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 12/13/2023] [Accepted: 12/19/2023] [Indexed: 01/05/2024]
Abstract
RNA-guided pseudouridylation, a widespread post-transcriptional RNA modification, has recently gained recognition for its role in cellular processes such as pre-mRNA splicing and the modulation of premature termination codon (PTC) readthrough. This review provides insights into its mechanisms, functions, and potential therapeutic applications. It examines the mechanisms governing RNA-guided pseudouridylation, emphasizing the roles of guide RNAs and pseudouridine synthases in catalyzing uridine-to-pseudouridine conversion. A key focus is the impact of RNA-guided pseudouridylation of U2 small nuclear RNA on pre-mRNA splicing, encompassing its influence on branch site recognition and spliceosome assembly. Additionally, the review discusses the emerging role of RNA-guided pseudouridylation in regulating PTC readthrough, impacting translation termination and genetic disorders. Finally, it explores the therapeutic potential of pseudouridine modifications, offering insights into potential treatments for genetic diseases and cancer and the development of mRNA vaccine.
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Affiliation(s)
- Jonathan L Chen
- Department of Biochemistry and Biophysics, Center for RNA Biology, University of Rochester Medical Center, Rochester, NY, U.S.A
| | | | | | - Hironori Adachi
- Department of Biochemistry and Biophysics, Center for RNA Biology, University of Rochester Medical Center, Rochester, NY, U.S.A
| | - Yi-Tao Yu
- Department of Biochemistry and Biophysics, Center for RNA Biology, University of Rochester Medical Center, Rochester, NY, U.S.A
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Xuan J, Chen L, Chen Z, Pang J, Huang J, Lin J, Zheng L, Li B, Qu L, Yang J. RMBase v3.0: decode the landscape, mechanisms and functions of RNA modifications. Nucleic Acids Res 2024; 52:D273-D284. [PMID: 37956310 PMCID: PMC10767931 DOI: 10.1093/nar/gkad1070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 11/15/2023] Open
Abstract
Although over 170 chemical modifications have been identified, their prevalence, mechanism and function remain largely unknown. To enable integrated analysis of diverse RNA modification profiles, we have developed RMBase v3.0 (http://bioinformaticsscience.cn/rmbase/), a comprehensive platform consisting of eight modules. These modules facilitate the exploration of transcriptome-wide landscape, biogenesis, interactome and functions of RNA modifications. By mining thousands of epitranscriptome datasets with novel pipelines, the 'RNA Modifications' module reveals the map of 73 RNA modifications of 62 species. the 'Genes' module allows to retrieve RNA modification profiles and clusters by gene and transcript. The 'Mechanisms' module explores 23 382 enzyme-catalyzed or snoRNA-guided modified sites to elucidate their biogenesis mechanisms. The 'Co-localization' module systematically formulates potential correlations between 14 histone modifications and 6 RNA modifications in various cell-lines. The 'RMP' module investigates the differential expression profiles of 146 RNA-modifying proteins (RMPs) in 18 types of cancers. The 'Interactome' integrates the interactional relationships between 73 RNA modifications with RBP binding events, miRNA targets and SNPs. The 'Motif' illuminates the enriched motifs for 11 types of RNA modifications identified from epitranscriptome datasets. The 'Tools' introduces a novel web-based 'modGeneTool' for annotating modifications. Overall, RMBase v3.0 provides various resources and tools for studying RNA modifications.
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Affiliation(s)
- Jiajia Xuan
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
- MOE Key Laboratory of Tumor Molecular Biology and Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| | - Lifan Chen
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Zhirong Chen
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Junjie Pang
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Junhong Huang
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Jinran Lin
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
- Human Phenome Institute, Fudan University, 825 Zhangheng Road, Shanghai 201203, China
| | - Lingling Zheng
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Bin Li
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Lianghu Qu
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Jianhua Yang
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
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Zhang LS, Dai Q, He C. Base-Resolution Sequencing Methods for Whole-Transcriptome Quantification of mRNA Modifications. Acc Chem Res 2024; 57:47-58. [PMID: 38079380 PMCID: PMC10765377 DOI: 10.1021/acs.accounts.3c00532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 10/20/2023] [Accepted: 10/20/2023] [Indexed: 01/03/2024]
Abstract
ConspectusRNA molecules are not merely a combination of four bases of A, C, G, and U. Chemical modifications occur in almost all RNA species and play diverse roles in gene expression regulation. The abundant cellular RNAs, such as ribosomal RNA (rRNA) and transfer RNA (tRNA), are known to have the highest density of RNA modifications, which exert critical functions in rRNA and tRNA biogenesis, stability, and subsequent translation. In recent years, modifications on low-abundance RNA species in mammalian cells, such as messenger RNA (mRNA), regulatory noncoding RNA (ncRNA), and chromatin-associated RNA (caRNA), have been shown to contain multiple different chemical modifications with functional significance.As the most abundant mRNA modification in mammals, N6-methyladenosine (m6A) affects nearly every stage of mRNA processing and metabolism, with the antibody-based m6A-MeRIP-seq (methylated RNA immunoprecipitation sequencing) followed by high-throughput sequencing widely employed in mapping m6A distribution transcriptome-wide in diverse biological systems. In addition to m6A, other chemical modifications such as pseudouridine (Ψ), 2'-O-methylation (Nm), 5-methylcytidine (m5C), internal N7-methylguanosine (m7G), N1-methyladenosine (m1A), N4-acetylcytidine (ac4C), etc. also exist in polyA-tailed RNA in mammalian cells, requiring effective mapping approaches for whole-transcriptome profiling of these non-m6A mRNA modifications. Like m6A, the antibody-based enrichment followed by sequencing has been the primary method to study distributions of these modifications. Methods to more quantitatively map these modifications would dramatically improve our understanding of distributions and modification density of these chemical marks on RNA, thereby bettering informing functional implications. In this Account, aimed at both single-base resolution and modification fraction quantification, we summarize our recent advances in developing a series of chemistry- or biochemistry-based methods to quantitatively map RNA modifications, including m6A, Ψ, m5C, m1A, 2'-O-methylation (Nm), and internal m7G, in mammalian mRNA at base resolution. These new methods, including m6A-SAC-seq, eTAM-seq, BID-seq, UBS-seq, DAMM-seq, m1A-quant-seq, Nm-Mut-seq, and m7G-quant-seq, promise to conduct base-resolution mapping of most major mRNA modifications with low RNA input and uncover dynamic changes in modification stoichiometry during biological and physiological processes, facilitating future investigations on these RNA modifications in regulating cellular gene expression and as potential biomarkers for clinical diagnosis and prognosis. These quantitative sequencing methods allow the mapping of most mRNA modifications with limited input sample requirements. The same modifications on diverse RNA species, such as caRNA, ncRNA, nuclear nascent RNA, mitochondrial RNA, cell-free RNA (cfRNA), etc., could be sequenced using the same methods.
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Affiliation(s)
- Li-Sheng Zhang
- Department
of Chemistry, The University of Chicago, Chicago, Illinois 60637, United States
- Howard
Hughes Medical Institute, The University
of Chicago, Chicago, Illinois 60637, United States
- Department
of Chemistry, The Hong Kong University of
Science and Technology (HKUST), Kowloon 999077, Hong
Kong SAR, China
- Division
of Life Science, The Hong Kong University
of Science and Technology (HKUST), Kowloon 999077, Hong
Kong SAR, China
| | - Qing Dai
- Department
of Chemistry, The University of Chicago, Chicago, Illinois 60637, United States
- Howard
Hughes Medical Institute, The University
of Chicago, Chicago, Illinois 60637, United States
| | - Chuan He
- Department
of Chemistry, The University of Chicago, Chicago, Illinois 60637, United States
- Howard
Hughes Medical Institute, The University
of Chicago, Chicago, Illinois 60637, United States
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Rodell R, Robalin N, Martinez NM. Why U matters: detection and functions of pseudouridine modifications in mRNAs. Trends Biochem Sci 2024; 49:12-27. [PMID: 38097411 DOI: 10.1016/j.tibs.2023.10.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 01/07/2024]
Abstract
The uridine modifications pseudouridine (Ψ), dihydrouridine, and 5-methyluridine are present in eukaryotic mRNAs. Many uridine-modifying enzymes are associated with human disease, underscoring the importance of uncovering the functions of uridine modifications in mRNAs. These modified uridines have chemical properties distinct from those of canonical uridines, which impact RNA structure and RNA-protein interactions. Ψ, the most abundant of these uridine modifications, is present across (pre-)mRNAs. Recent work has shown that many Ψs are present at intermediate to high stoichiometries that are likely conducive to function and at locations that are poised to influence pre-/mRNA processing. Technological innovations and mechanistic investigations are unveiling the functions of uridine modifications in pre-mRNA splicing, translation, and mRNA stability, which are discussed in this review.
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Affiliation(s)
- Rebecca Rodell
- Department of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, USA
| | - Nicolas Robalin
- Department of Chemistry, Stanford University, Stanford, CA 94305, USA
| | - Nicole M Martinez
- Department of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, USA; Department of Developmental Biology, Stanford University, Stanford, CA 94305, USA; Sarafan ChEM-H Institute, Stanford University, Stanford, CA 94305, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA.
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39
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Crespo-García E, Bueno-Costa A, Esteller M. Single-cell analysis of the epitranscriptome: RNA modifications under the microscope. RNA Biol 2024; 21:1-8. [PMID: 38368619 PMCID: PMC10877985 DOI: 10.1080/15476286.2024.2315385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/02/2024] [Indexed: 02/20/2024] Open
Abstract
The identification of mechanisms capable of modifying genetic information by the addition of covalent RNA modifications distinguishes a level of complexity in gene expression which challenges key long-standing concepts of RNA biology. One of the current challenges of molecular biology is to properly understand the molecular functions of these RNA modifications, with more than 170 different ones having been identified so far. However, it has not been possible to map specific RNA modifications at a single-cell resolution until very recently. This review will highlight the technological advances in single-cell methodologies aimed at assessing and testing the biological function of certain RNA modifications, focusing on m6A. These advances have allowed for the development of novel strategies that enable the study of the 'epitranscriptome'. Nevertheless, despite all these improvements, many challenges and difficulties still need fixing for these techniques to work efficiently.
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Affiliation(s)
- Eva Crespo-García
- Cancer Epigenetics Group, Josep Carreras Leukaemia Research Institute (IJC), Badalona, Spain
| | - Alberto Bueno-Costa
- Cancer Epigenetics Group, Josep Carreras Leukaemia Research Institute (IJC), Badalona, Spain
| | - Manel Esteller
- Cancer Epigenetics Group, Josep Carreras Leukaemia Research Institute (IJC), Badalona, Spain
- Centro de Investigación Biomédica en Red Cancer (CIBERONC), Madrid, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
- Physiological Sciences Department, School of Medicine and Health Sciences, University of Barcelona (UB), Barcelona, Spain
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40
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Coutts HL, Courtney DG. Identifying Individual Pseudouridine (Ψ) Sites Across Transcripts from HIV-1 Infected Cells. Methods Mol Biol 2024; 2807:229-242. [PMID: 38743232 DOI: 10.1007/978-1-0716-3862-0_16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
The identification of RNA modifications at single nucleotide resolution has become an emerging area of interest within biology and specifically among virologists seeking to ascertain how this untapped area of RNA regulation may be altered or hijacked upon viral infection. Herein, we describe a straightforward biochemical approach modified from two original published Ψ mapping protocols, BID-seq and PRAISE, to specifically identify pseudouridine modifications on mRNA transcripts from an HIV-1 infected T cell line. This protocol could readily be adapted for other viral infected cell types and additionally for populations of purified virions from infected cells.
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Affiliation(s)
- Hannah L Coutts
- Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, UK
| | - David G Courtney
- Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, UK.
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41
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Deng L, Kumar J, Rose R, McIntyre W, Fabris D. Analyzing RNA posttranscriptional modifications to decipher the epitranscriptomic code. MASS SPECTROMETRY REVIEWS 2024; 43:5-38. [PMID: 36052666 DOI: 10.1002/mas.21798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 05/23/2022] [Accepted: 05/27/2022] [Indexed: 06/15/2023]
Abstract
The discovery of RNA silencing has revealed that non-protein-coding sequences (ncRNAs) can cover essential roles in regulatory networks and their malfunction may result in severe consequences on human health. These findings have prompted a general reassessment of the significance of RNA as a key player in cellular processes. This reassessment, however, will not be complete without a greater understanding of the distribution and function of the over 170 variants of the canonical ribonucleotides, which contribute to the breathtaking structural diversity of natural RNA. This review surveys the analytical approaches employed for the identification, characterization, and detection of RNA posttranscriptional modifications (rPTMs). The merits of analyzing individual units after exhaustive hydrolysis of the initial biopolymer are outlined together with those of identifying their position in the sequence of parent strands. Approaches based on next generation sequencing and mass spectrometry technologies are covered in depth to provide a comprehensive view of their respective merits. Deciphering the epitranscriptomic code will require not only mapping the location of rPTMs in the various classes of RNAs, but also assessing the variations of expression levels under different experimental conditions. The fact that no individual platform is currently capable of meeting all such demands implies that it will be essential to capitalize on complementary approaches to obtain the desired information. For this reason, the review strived to cover the broadest possible range of techniques to provide readers with the fundamental elements necessary to make informed choices and design the most effective possible strategy to accomplish the task at hand.
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Affiliation(s)
- L Deng
- Department of Chemistry, University of Connecticut, Storrs, Connecticut, USA
| | - J Kumar
- Department of Chemistry, University of Connecticut, Storrs, Connecticut, USA
| | - R Rose
- Department of Advanced Research Technologies, New York University Langone Health Center, New York, USA
| | - W McIntyre
- Department of Chemistry, University of Connecticut, Storrs, Connecticut, USA
| | - Daniele Fabris
- Department of Chemistry, University of Connecticut, Storrs, Connecticut, USA
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Zhou X, Zhu H, Luo C, Yan Z, Zheng G, Zou X, Zou J, Zhang G. The role of RNA modification in urological cancers: mechanisms and clinical potential. Discov Oncol 2023; 14:235. [PMID: 38117350 PMCID: PMC10733275 DOI: 10.1007/s12672-023-00843-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 12/04/2023] [Indexed: 12/21/2023] Open
Abstract
RNA modification is a post-transcriptional level of regulation that is widely distributed in all types of RNAs, including mRNA, tRNA, rRNA, miRNA, and lncRNA, where N6-methyladenine (m6A) is the most abundant mRNA methylation modification. Significant evidence has depicted that m6A modifications are closely related to human diseases, especially cancer, and play pivotal roles in RNA transcription, splicing, stabilization, and translation processes. The most common urological cancers include prostate, bladder, kidney, and testicular cancers, accounting for a certain proportion of human cancers, with an ever-increasing incidence and mortality. The recurrence, systemic metastasis, poor prognosis, and drug resistance of urologic tumors have prompted the identification of new therapeutic targets and mechanisms. Research on m6A modifications may provide new solutions to the current puzzles. In this review, we provide a comprehensive overview of the key roles played by RNA modifications, especially m6A modifications, in urologic cancers, as well as recent research advances in diagnostics and molecularly targeted therapies.
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Affiliation(s)
- Xuming Zhou
- First Clinical College, Gannan Medical University, Ganzhou, 341000, China
- Department of Urology, First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, China
| | - Hezhen Zhu
- First Clinical College, Gannan Medical University, Ganzhou, 341000, China
- Department of Urology, First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, China
| | - Cong Luo
- First Clinical College, Gannan Medical University, Ganzhou, 341000, China
- Department of Urology, First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, China
| | - Zhaojie Yan
- First Clinical College, Gannan Medical University, Ganzhou, 341000, China
- Department of Urology, First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, China
| | - Guansong Zheng
- First Clinical College, Gannan Medical University, Ganzhou, 341000, China
- Department of Urology, First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, China
| | - Xiaofeng Zou
- Department of Urology, First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, China
- Institute of Urology, First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, China
- Jiangxi Engineering Technology Research Center of Calculi Prevention, Ganzhou, 341000, China
| | - Junrong Zou
- Department of Urology, First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, China
- Institute of Urology, First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, China
- Jiangxi Engineering Technology Research Center of Calculi Prevention, Ganzhou, 341000, China
| | - Guoxi Zhang
- Department of Urology, First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, China.
- Institute of Urology, First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, China.
- Jiangxi Engineering Technology Research Center of Calculi Prevention, Ganzhou, 341000, China.
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Xu C, Bian Z, Wang X, Niu N, Liu L, Xiao Y, Zhu J, Huang N, Zhang Y, Chen Y, Wu Q, Sun F, Zhu X, Pan Q. SNORA56-mediated pseudouridylation of 28 S rRNA inhibits ferroptosis and promotes colorectal cancer proliferation by enhancing GCLC translation. J Exp Clin Cancer Res 2023; 42:331. [PMID: 38049865 PMCID: PMC10696674 DOI: 10.1186/s13046-023-02906-8] [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: 09/09/2023] [Accepted: 11/16/2023] [Indexed: 12/06/2023] Open
Abstract
BACKGROUND Colorectal cancer (CRC) is one of the most common malignancies and is characterized by reprogrammed metabolism. Ferroptosis, a programmed cell death dependent on iron, has emerged as a promising strategy for CRC treatment. Although small nucleolar RNAs are extensively involved in carcinogenesis, it is unclear if they regulate ferroptosis during CRC pathogenesis. METHODS The dysregulated snoRNAs were identified using published sequencing data of CRC tissues. The expression of the candidate snoRNAs, host gene and target gene were assessed by real-time quantitative PCR (RT-qPCR), fluorescence in situ hybridization (FISH), immunohistochemistry (IHC) and western blots. The biological function of critical molecules was investigated using in vitro and in vivo strategies including Cell Counting Kit-8 (CCK8), colony formation assay, flow cytometry, Fe2+/Fe3+, GSH/GSSG and the xenograft mice models. The ribosomal activities were determined by polysome profiling and O-propargyl-puromycin (OP-Puro) assay. The proteomics was conducted to clarify the downstream targets and the underlying mechanisms were validated by IHC, Pearson correlation analysis, protein stability and rescue assays. The clinical significance of the snoRNA was explored using the Cox proportional hazard model, receiver operating characteristic (ROC) and survival analysis. RESULTS Here, we investigated the SNORA56, which was elevated in CRC tissues and plasma, and correlated with CRC prognosis. SNORA56 deficiency in CRC impaired proliferation and triggered ferroptosis, resulting in reduced tumorigenesis. Mechanistically, SNORA56 mediated the pseudouridylation of 28 S rRNA at the U1664 site and promoted the translation of the catalytic subunit of glutamate cysteine ligase (GCLC), an indispensable rate-limiting enzyme in the biosynthesis of glutathione, which can inhibit ferroptosis by suppressing lipid peroxidation. CONCLUSIONS Therefore, the SNORA56/28S rRNA/GCLC axis stimulates CRC progression by inhibiting the accumulation of cellular peroxides, and it may provide biomarker and therapeutic applications in CRC.
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Affiliation(s)
- Chang Xu
- Department of Laboratory Medicine, Shanghai Tenth People's Hospital of Tongji University, Shanghai, 200072, China
| | - Zhixuan Bian
- Department of Laboratory Medicine, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
- College of Health Science and Technology, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200025, China
- Shanghai Key Laboratory of Clinical Molecular Diagnostics for Paediatrics, Shanghai, 200127, China
- Sanya Women and Children's Hospital Managed by Shanghai Children's Medical Center, Sanya, 572000, China
| | - Xinyue Wang
- Department of Laboratory Medicine, Shanghai Tenth People's Hospital of Tongji University, Shanghai, 200072, China
| | - Na Niu
- Department of Laboratory Medicine, Shanghai Tenth People's Hospital of Tongji University, Shanghai, 200072, China
| | - Li Liu
- Department of Laboratory Medicine, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
- College of Health Science and Technology, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200025, China
- Shanghai Key Laboratory of Clinical Molecular Diagnostics for Paediatrics, Shanghai, 200127, China
| | - Yixuan Xiao
- Department of Laboratory Medicine, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
- College of Health Science and Technology, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200025, China
- Shanghai Key Laboratory of Clinical Molecular Diagnostics for Paediatrics, Shanghai, 200127, China
| | - Jiabei Zhu
- Department of Laboratory Medicine, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
- College of Health Science and Technology, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200025, China
- Shanghai Key Laboratory of Clinical Molecular Diagnostics for Paediatrics, Shanghai, 200127, China
| | - Nan Huang
- Department of Laboratory Medicine, Shanghai Tenth People's Hospital of Tongji University, Shanghai, 200072, China
| | - Yue Zhang
- Department of Central Laboratory, Shanghai Tenth People's Hospital of Tongji University, Shanghai, 200072, China
| | - Yan Chen
- Department of Laboratory Medicine, Shanghai Tenth People's Hospital of Tongji University, Shanghai, 200072, China
| | - Qi Wu
- Department of Laboratory Medicine, Shanghai Tenth People's Hospital of Tongji University, Shanghai, 200072, China
| | - Fenyong Sun
- Department of Laboratory Medicine, Shanghai Tenth People's Hospital of Tongji University, Shanghai, 200072, China
| | - Xiaoli Zhu
- Department of Laboratory Medicine, Shanghai Tenth People's Hospital of Tongji University, Shanghai, 200072, China.
| | - Qiuhui Pan
- Department of Laboratory Medicine, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
- College of Health Science and Technology, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200025, China.
- Shanghai Key Laboratory of Clinical Molecular Diagnostics for Paediatrics, Shanghai, 200127, China.
- Sanya Women and Children's Hospital Managed by Shanghai Children's Medical Center, Sanya, 572000, China.
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Dhingra Y, Lahiri M, Bhandari N, Kaur I, Gupta S, Agarwal M, Katiyar-Agarwal S. Genome-wide identification, characterization, and expression analysis unveil the roles of pseudouridine synthase (PUS) family proteins in rice development and stress response. PHYSIOLOGY AND MOLECULAR BIOLOGY OF PLANTS : AN INTERNATIONAL JOURNAL OF FUNCTIONAL PLANT BIOLOGY 2023; 29:1981-2004. [PMID: 38222285 PMCID: PMC10784261 DOI: 10.1007/s12298-023-01396-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 10/26/2023] [Accepted: 11/20/2023] [Indexed: 01/16/2024]
Abstract
Pseudouridylation, the conversion of uridine (U) to pseudouridine (Ѱ), is one of the most prevalent and evolutionary conserved RNA modifications, which is catalyzed by pseudouridine synthase (PUS) enzymes. Ѱs play a crucial epitranscriptomic role by regulating attributes of cellular RNAs across diverse organisms. However, the precise biological functions of PUSs in plants remain largely elusive. In this study, we identified and characterized 21 members in the rice PUS family which were categorized into six distinct subfamilies, with RluA and TruA emerging as the most extensive. A comprehensive analysis of domain structures, motifs, and homology modeling revealed that OsPUSs possess all canonical features of true PUS proteins, essential for substrate recognition and catalysis. The exploration of OsPUS promoters revealed presence of cis-acting regulatory elements associated with hormone and abiotic stress responses. Expression analysis of OsPUS genes showed differential expression at developmental stages and under stress conditions. Notably, OsTruB3 displayed high expression in salt, heat, and drought stresses. Several OsRluA members showed induction in heat stress, while a significant decline in expression was observed for various OsTruA members in drought and salinity. Furthermore, miRNAs predicted to target OsPUSs were themselves responsive to variable stresses, adding an additional layer of regulatory complexity of OsPUSs. Study of protein-protein interaction networks provided substantial support for the potential regulatory role of OsPUSs in numerous cellular and stress response pathways. Conclusively, our study provides functional insights into the OsPUS family, contributing to a better understanding of their crucial roles in shaping the development and stress adaptation in rice. Supplementary Information The online version contains supplementary material available at 10.1007/s12298-023-01396-4.
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Affiliation(s)
- Yashika Dhingra
- Department of Plant Molecular Biology, University of Delhi, South Campus, Benito Juarez Marg, Dhaula Kuan, New Delhi, 110021 India
| | - Milinda Lahiri
- Department of Plant Molecular Biology, University of Delhi, South Campus, Benito Juarez Marg, Dhaula Kuan, New Delhi, 110021 India
| | - Nikunj Bhandari
- Department of Plant Molecular Biology, University of Delhi, South Campus, Benito Juarez Marg, Dhaula Kuan, New Delhi, 110021 India
| | - Inderjit Kaur
- Department of Plant Molecular Biology, University of Delhi, South Campus, Benito Juarez Marg, Dhaula Kuan, New Delhi, 110021 India
| | - Shitij Gupta
- Department of Plant Molecular Biology, University of Delhi, South Campus, Benito Juarez Marg, Dhaula Kuan, New Delhi, 110021 India
- Present Address: Institute of Plant Sciences, Universität Bern, Altenbergrain 21, 3013 Bern, Switzerland
| | - Manu Agarwal
- Department of Botany, University of Delhi, North Campus, Delhi, 110007 India
| | - Surekha Katiyar-Agarwal
- Department of Plant Molecular Biology, University of Delhi, South Campus, Benito Juarez Marg, Dhaula Kuan, New Delhi, 110021 India
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45
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Wang Y, Tao EW, Tan J, Gao QY, Chen YX, Fang JY. tRNA modifications: insights into their role in human cancers. Trends Cell Biol 2023; 33:1035-1048. [PMID: 37179136 DOI: 10.1016/j.tcb.2023.04.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 04/03/2023] [Accepted: 04/12/2023] [Indexed: 05/15/2023]
Abstract
Transfer RNA (tRNA) plays a central role in translation by functioning as a biological link between messenger RNA (mRNA) and proteins. One prominent feature of the tRNA molecule is its heavily modified status, which greatly affects its biogenesis and function. Modifications within the anticodon loop are crucial for translation efficiency and accuracy, whereas other modifications in the body region affect tRNA structure and stability. Recent research has revealed that these diverse modifications are critical regulators of gene expression. They are involved in many important physiological and pathological processes, including cancers. In this review we focus on six different tRNA modifications to delineate their functions and mechanisms in tumorigenesis and tumor progression, providing insights into their clinical potential as biomarkers and therapeutic targets.
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Affiliation(s)
- Ye Wang
- Division of Gastroenterology and Hepatology, Shanghai Jiao Tong University, Shanghai, China; Shanghai Institute of Digestive Disease, Shanghai Jiao Tong University, Shanghai, China; NHC Key Laboratory of Digestive Diseases, Shanghai Jiao Tong University, Shanghai, China; State Key Laboratory for Oncogenes and Related Genes, Shanghai Jiao Tong University, Shanghai, China; Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - En-Wei Tao
- Division of Gastroenterology and Hepatology, Shanghai Jiao Tong University, Shanghai, China; Shanghai Institute of Digestive Disease, Shanghai Jiao Tong University, Shanghai, China; NHC Key Laboratory of Digestive Diseases, Shanghai Jiao Tong University, Shanghai, China; State Key Laboratory for Oncogenes and Related Genes, Shanghai Jiao Tong University, Shanghai, China; Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Juan Tan
- Division of Gastroenterology and Hepatology, Shanghai Jiao Tong University, Shanghai, China; Shanghai Institute of Digestive Disease, Shanghai Jiao Tong University, Shanghai, China; NHC Key Laboratory of Digestive Diseases, Shanghai Jiao Tong University, Shanghai, China; State Key Laboratory for Oncogenes and Related Genes, Shanghai Jiao Tong University, Shanghai, China; Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Qin-Yan Gao
- Division of Gastroenterology and Hepatology, Shanghai Jiao Tong University, Shanghai, China; Shanghai Institute of Digestive Disease, Shanghai Jiao Tong University, Shanghai, China; NHC Key Laboratory of Digestive Diseases, Shanghai Jiao Tong University, Shanghai, China; State Key Laboratory for Oncogenes and Related Genes, Shanghai Jiao Tong University, Shanghai, China; Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Ying-Xuan Chen
- Division of Gastroenterology and Hepatology, Shanghai Jiao Tong University, Shanghai, China; Shanghai Institute of Digestive Disease, Shanghai Jiao Tong University, Shanghai, China; NHC Key Laboratory of Digestive Diseases, Shanghai Jiao Tong University, Shanghai, China; State Key Laboratory for Oncogenes and Related Genes, Shanghai Jiao Tong University, Shanghai, China; Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | - Jing-Yuan Fang
- Division of Gastroenterology and Hepatology, Shanghai Jiao Tong University, Shanghai, China; Shanghai Institute of Digestive Disease, Shanghai Jiao Tong University, Shanghai, China; NHC Key Laboratory of Digestive Diseases, Shanghai Jiao Tong University, Shanghai, China; State Key Laboratory for Oncogenes and Related Genes, Shanghai Jiao Tong University, Shanghai, China; Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
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46
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Monziani A, Ulitsky I. Noncoding snoRNA host genes are a distinct subclass of long noncoding RNAs. Trends Genet 2023; 39:908-923. [PMID: 37783604 DOI: 10.1016/j.tig.2023.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 09/04/2023] [Accepted: 09/07/2023] [Indexed: 10/04/2023]
Abstract
Mammalian genomes are pervasively transcribed into different noncoding (nc)RNA classes, each one with its own hallmarks and exceptions. Some of them are nested into each other, such as host genes for small nucleolar RNAs (snoRNAs), which were long believed to simply act as molecular containers strictly facilitating snoRNA biogenesis. However, recent findings show that noncoding snoRNA host genes (ncSNHGs) display features different from those of 'regular' long ncRNAs (lncRNAs) and, more importantly, they can exert independent and unrelated functions to those of the encoded snoRNAs. Here, we review and summarize past and recent evidence that ncSNHGs form a defined subclass among the plethora of lncRNAs, and discuss future research that can further elucidate their biological relevance.
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Affiliation(s)
- Alan Monziani
- Department of Immunology and Regenerative Biology, Weizmann Institute of Science, 7610001 Rehovot, Israel; Department of Molecular Neuroscience, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Igor Ulitsky
- Department of Immunology and Regenerative Biology, Weizmann Institute of Science, 7610001 Rehovot, Israel; Department of Molecular Neuroscience, Weizmann Institute of Science, 7610001 Rehovot, Israel.
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Pham CT, Rangan L, Schlenner S. RNA modifications-a regulatory dimension yet to be deciphered in immunity. Genes Immun 2023; 24:281-282. [PMID: 37985689 DOI: 10.1038/s41435-023-00228-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Affiliation(s)
- Cuong Thi Pham
- Department of Microbiology, Immunology and Transplantation, KU Leuven-University of Leuven, Leuven, Belgium
| | - Laurie Rangan
- Department of Microbiology, Immunology and Transplantation, KU Leuven-University of Leuven, Leuven, Belgium
| | - Susan Schlenner
- Department of Microbiology, Immunology and Transplantation, KU Leuven-University of Leuven, Leuven, Belgium.
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48
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Xie Y, Chan LY, Cheung MY, Li MW, Lam HM. Current technical advancements in plant epitranscriptomic studies. THE PLANT GENOME 2023; 16:e20316. [PMID: 36890704 DOI: 10.1002/tpg2.20316] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 02/05/2023] [Indexed: 06/18/2023]
Abstract
The growth and development of plants are the result of the interplay between the internal developmental programming and plant-environment interactions. Gene expression regulations in plants are made up of multi-level networks. In the past few years, many studies were carried out on co- and post-transcriptional RNA modifications, which, together with the RNA community, are collectively known as the "epitranscriptome." The epitranscriptomic machineries were identified and their functional impacts characterized in a broad range of physiological processes in diverse plant species. There is mounting evidence to suggest that the epitranscriptome provides an additional layer in the gene regulatory network for plant development and stress responses. In the present review, we summarized the epitranscriptomic modifications found so far in plants, including chemical modifications, RNA editing, and transcript isoforms. The various approaches to RNA modification detection were described, with special emphasis on the recent development and application potential of third-generation sequencing. The roles of epitranscriptomic changes in gene regulation during plant-environment interactions were discussed in case studies. This review aims to highlight the importance of epitranscriptomics in the study of gene regulatory networks in plants and to encourage multi-omics investigations using the recent technical advancements.
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Affiliation(s)
- Yichun Xie
- School of Life Sciences and Centre for Soybean Research of the State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Long-Yiu Chan
- School of Life Sciences and Centre for Soybean Research of the State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Ming-Yan Cheung
- School of Life Sciences and Centre for Soybean Research of the State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Man-Wah Li
- School of Life Sciences and Centre for Soybean Research of the State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Hon-Ming Lam
- School of Life Sciences and Centre for Soybean Research of the State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
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49
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Yang Y, Liu Z, Lu J, Sun Y, Fu Y, Pan M, Xie X, Ge Q. Analysis approaches for the identification and prediction of N6-methyladenosine sites. Epigenetics 2023; 18:2158284. [PMID: 36562485 PMCID: PMC9980620 DOI: 10.1080/15592294.2022.2158284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
The global dynamics in a variety of biological processes can be revealed by mapping transcriptional m6A sites, in particular full-transcriptome m6A. And individual m6A sites have contributed to biological function, which can be evaluated by stoichiometric information obtained from the single nucleotide resolution. Currently, the identification of m6A sites is mainly carried out by experiment and prediction methods, based on high-throughput sequencing and machine learning model respectively. This review summarizes the recent topics and progress made in bioinformatics methods of deciphering the m6A methylation, including the experimental detection of m6A methylation sites, techniques of data analysis, the way of predicting m6A methylation sites, m6A methylation databases, and detection of m6A modification in circRNA. At the end, the essay makes a brief discussion for the development perspective in this area.
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Affiliation(s)
- Yuwei Yang
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, People's Republic of China
| | - Zhiyu Liu
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, People's Republic of China
| | - Junru Lu
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, People's Republic of China
| | - Yuqing Sun
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, People's Republic of China
| | - Yue Fu
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, People's Republic of China
| | - Min Pan
- Department of Pathology and Pathophysiology School of Medicine, Southeast University, Nanjing, China
| | - Xueying Xie
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, People's Republic of China
| | - Qinyu Ge
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, People's Republic of China
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50
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Hu YX, Diao LT, Hou YR, Lv G, Tao S, Xu WY, Xie SJ, Ren YH, Xiao ZD. Pseudouridine synthase 1 promotes hepatocellular carcinoma through mRNA pseudouridylation to enhance the translation of oncogenic mRNAs. Hepatology 2023:01515467-990000000-00664. [PMID: 38015993 DOI: 10.1097/hep.0000000000000702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 11/10/2023] [Indexed: 11/30/2023]
Abstract
BACKGROUND AND AIMS Pseudouridine is a prevalent RNA modification and is highly present in the serum and urine of patients with HCC. However, the role of pseudouridylation and its modifiers in HCC remains unknown. We investigated the function and underlying mechanism of pseudouridine synthase 1 (PUS1) in HCC. APPROACH AND RESULTS By analyzing the TCGA data set, PUS1 was found to be significantly upregulated in human HCC specimens and positively correlated with tumor grade and poor prognosis of HCC. Knockdown of PUS1 inhibited cell proliferation and the growth of tumors in a subcutaneous xenograft mouse model. Accordingly, increased cell proliferation and tumor growth were observed in PUS1-overexpressing cells. Furthermore, overexpression of PUS1 significantly accelerates tumor formation in a mouse HCC model established by hydrodynamic tail vein injection, while knockout of PUS1 decreases it. Additionally, PUS1 catalytic activity is required for HCC tumorigenesis. Mechanistically, we profiled the mRNA targets of PUS1 by utilizing surveying targets by apolipoprotein B mRNA-editing enzyme 1 (APOBEC1)-mediated profiling and found that PUS1 incorporated pseudouridine into mRNAs of a set of oncogenes, thereby endowing them with greater translation capacity. CONCLUSIONS Our study highlights the critical role of PUS1 and pseudouridylation in HCC development, and provides new insight that PUS1 enhances the protein levels of a set of oncogenes, including insulin receptor substrate 1 (IRS1) and c-MYC, by means of pseudouridylation-mediated mRNA translation.
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Affiliation(s)
- Yan-Xia Hu
- Biotherapy Center, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, PR China
| | - Li-Ting Diao
- Biotherapy Center, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, PR China
| | - Ya-Rui Hou
- Biotherapy Center, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, PR China
| | - Guo Lv
- Guangdong Key Laboratory of Liver Disease Research, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, PR China
| | - Shuang Tao
- Biotherapy Center, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, PR China
| | - Wan-Yi Xu
- Biotherapy Center, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, PR China
| | - Shu-Juan Xie
- Institute of Vaccine, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, PR China
| | - Ya-Han Ren
- Biotherapy Center, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, PR China
| | - Zhen-Dong Xiao
- Biotherapy Center, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, PR China
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