1
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Chabronova A, Holmes TL, Hoang DM, Denning C, James V, Smith JGW, Peffers MJ. SnoRNAs in cardiovascular development, function, and disease. Trends Mol Med 2024; 30:562-578. [PMID: 38523014 DOI: 10.1016/j.molmed.2024.03.004] [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: 12/15/2023] [Revised: 03/07/2024] [Accepted: 03/08/2024] [Indexed: 03/26/2024]
Abstract
Small nucleolar RNAs (snoRNAs) are emerging as important regulators of cardiovascular (patho)biology. Several roles of snoRNAs have recently been identified in heart development and congenital heart diseases, as well as their dynamic regulation in hypertrophic and dilated cardiomyopathies, coronary heart disease (CHD), myocardial infarction (MI), cardiac fibrosis, and heart failure. Furthermore, reports of changes in vesicular snoRNA expression and altered levels of circulating snoRNAs in response to cardiac stress suggest that snoRNAs also function in cardiac signaling and intercellular communication. In this review, we summarize and discuss key findings and outline the clinical potential of snoRNAs considering current challenges and gaps in the field of cardiovascular diseases (CVDs).
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Affiliation(s)
- Alzbeta Chabronova
- Department of Musculoskeletal Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, L7 8TX, UK.
| | - Terri L Holmes
- Centre for Metabolic Health, Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, NR4 7UQ, UK
| | - Duc M Hoang
- Department of Stem Cell Biology, Biodiscovery Institute, University of Nottingham, University Park, Nottingham, NG7 2RD, UK
| | - Chris Denning
- Department of Stem Cell Biology, Biodiscovery Institute, University of Nottingham, University Park, Nottingham, NG7 2RD, UK
| | - Victoria James
- School of Veterinary Medicine and Science, Biodiscovery Institute, University of Nottingham, University Park, Nottingham, NG7 2RD, UK
| | - James G W Smith
- Centre for Metabolic Health, Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, NR4 7UQ, UK
| | - Mandy J Peffers
- Department of Musculoskeletal Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, L7 8TX, UK
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2
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Lee BST, Sinha A, Dedon P, Preiser P. Charting new territory: The Plasmodium falciparum tRNA modification landscape. Biomed J 2024:100745. [PMID: 38734409 DOI: 10.1016/j.bj.2024.100745] [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: 03/26/2024] [Revised: 05/02/2024] [Accepted: 05/05/2024] [Indexed: 05/13/2024] Open
Abstract
Ribonucleoside modifications comprising the epitranscriptome are present in all organisms and all forms of RNA, including mRNA, rRNA and tRNA, the three major RNA components of the translational machinery. Of these, tRNA is the most heavily modified and the tRNA epitranscriptome has the greatest diversity of modifications. In addition to their roles in tRNA biogenesis, quality control, structure, cleavage, and codon recognition, tRNA modifications have been shown to regulate gene expression post-transcriptionally in prokaryotes and eukaryotes, including humans. However, studies investigating the impact of tRNA modifications on gene expression in the malaria parasite Plasmodium falciparum are currently scarce. Current evidence shows that the parasite has a limited capacity for transcriptional control, which points to a heavier reliance on strategies for posttranscriptional regulation such as tRNA epitranscriptome reprogramming. This review addresses the known functions of tRNA modifications in the biology of P. falciparum while highlighting the potential therapeutic opportunities and the value of using P. falciparum as a model organism for addressing several open questions related to the tRNA epitranscriptome.
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Affiliation(s)
- Benjamin Sian Teck Lee
- Antimicrobial Resistance IRG, Singapore MIT Alliance for Research and Technology, Singapore
| | - Ameya Sinha
- Antimicrobial Resistance IRG, Singapore MIT Alliance for Research and Technology, Singapore;; School of Biological Sciences, Nanyang Technological University, Singapore
| | - Peter Dedon
- Antimicrobial Resistance IRG, Singapore MIT Alliance for Research and Technology, Singapore;; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA USA.
| | - Peter Preiser
- Antimicrobial Resistance IRG, Singapore MIT Alliance for Research and Technology, Singapore;; School of Biological Sciences, Nanyang Technological University, Singapore;.
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3
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Shen Z, Naveed M, Bao J. Untacking small RNA profiling and RNA fragment footprinting: Approaches and challenges in library construction. WILEY INTERDISCIPLINARY REVIEWS. RNA 2024; 15:e1852. [PMID: 38715192 DOI: 10.1002/wrna.1852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 04/09/2024] [Accepted: 04/10/2024] [Indexed: 06/06/2024]
Abstract
Small RNAs (sRNAs) with sizes ranging from 15 to 50 nucleotides (nt) are critical regulators of gene expression control. Prior studies have shown that sRNAs are involved in a broad range of biological processes, such as organ development, tumorigenesis, and epigenomic regulation; however, emerging evidence unveils a hidden layer of diversity and complexity of endogenously encoded sRNAs profile in eukaryotic organisms, including novel types of sRNAs and the previously unknown post-transcriptional RNA modifications. This underscores the importance for accurate, unbiased detection of sRNAs in various cellular contexts. A multitude of high-throughput methods based on next-generation sequencing (NGS) are developed to decipher the sRNA expression and their modifications. Nonetheless, distinct from mRNA sequencing, the data from sRNA sequencing suffer frequent inconsistencies and high variations emanating from the adapter contaminations and RNA modifications, which overall skew the sRNA libraries. Here, we summarize the sRNA-sequencing approaches, and discuss the considerations and challenges for the strategies and methods of sRNA library construction. The pros and cons of sRNA sequencing have significant implications for implementing RNA fragment footprinting approaches, including CLIP-seq and Ribo-seq. We envision that this review can inspire novel improvements in small RNA sequencing and RNA fragment footprinting in future. This article is categorized under: RNA Evolution and Genomics > Computational Analyses of RNA RNA Processing > Processing of Small RNAs Regulatory RNAs/RNAi/Riboswitches > Biogenesis of Effector Small RNAs.
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Affiliation(s)
- Zhaokang Shen
- Department of Obstetrics and Gynecology, Center for Reproduction and Genetics, The First Affiliated Hospital of USTC, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
- Hefei National Laboratory for Physical Sciences at Microscale, Biomedical Sciences and Health Laboratory of Anhui Province, University of Science and Technology of China (USTC), Hefei, Anhui, China
| | - Muhammad Naveed
- Hefei National Laboratory for Physical Sciences at Microscale, Biomedical Sciences and Health Laboratory of Anhui Province, University of Science and Technology of China (USTC), Hefei, Anhui, China
- Department of Obstetrics and Gynecology, Center for Reproduction and Genetics, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Jianqiang Bao
- Department of Obstetrics and Gynecology, Center for Reproduction and Genetics, The First Affiliated Hospital of USTC, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
- Hefei National Laboratory for Physical Sciences at Microscale, Biomedical Sciences and Health Laboratory of Anhui Province, University of Science and Technology of China (USTC), Hefei, Anhui, China
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4
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Muthukumar S, Li CT, Liu RJ, Bellodi C. Roles and regulation of tRNA-derived small RNAs in animals. Nat Rev Mol Cell Biol 2024; 25:359-378. [PMID: 38182846 DOI: 10.1038/s41580-023-00690-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/13/2023] [Indexed: 01/07/2024]
Abstract
A growing class of small RNAs, known as tRNA-derived RNAs (tdRs), tRNA-derived small RNAs or tRNA-derived fragments, have long been considered mere intermediates of tRNA degradation. These small RNAs have recently been implicated in an evolutionarily conserved repertoire of biological processes. In this Review, we discuss the biogenesis and molecular functions of tdRs in mammals, including tdR-mediated gene regulation in cell metabolism, immune responses, transgenerational inheritance, development and cancer. We also discuss the accumulation of tRNA-derived stress-induced RNAs as a distinct adaptive cellular response to pathophysiological conditions. Furthermore, we highlight new conceptual advances linking RNA modifications with tdR activities and discuss challenges in studying tdR biology in health and disease.
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Affiliation(s)
- Sowndarya Muthukumar
- Division of Molecular Hematology, Department of Laboratory Medicine, Lund Stem Cell Center, Faculty of Medicine, Lund University, Lund, Sweden
| | - Cai-Tao Li
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Ru-Juan Liu
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
| | - Cristian Bellodi
- Division of Molecular Hematology, Department of Laboratory Medicine, Lund Stem Cell Center, Faculty of Medicine, Lund University, Lund, Sweden.
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5
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Tosar JP, Castellano M, Costa B, Cayota A. Small RNA structural biochemistry in a post-sequencing era. Nat Protoc 2024; 19:595-602. [PMID: 38057624 DOI: 10.1038/s41596-023-00936-2] [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: 02/23/2023] [Accepted: 08/25/2023] [Indexed: 12/08/2023]
Abstract
High-throughput sequencing has had an enormous impact on small RNA research during the past decade. However, sequencing only offers a one-dimensional view of the transcriptome and is often highly biased. Additionally, the 'sequence, map and annotate' approach, used widely in small RNA research, can lead to flawed interpretations of the data, lacking biological plausibility, due in part to database issues. Even in the absence of technical biases, the loss of three-dimensional information is a major limitation to understanding RNA stability, turnover and function. For example, noncoding RNA-derived fragments seem to exist mainly as dimers, tetramers or as nicked forms of their parental RNAs, contrary to widespread assumptions. In this perspective, we will discuss main sources of bias during small RNA-sequencing, present several useful bias-reducing strategies and provide guidance on the interpretation of small RNA-sequencing results, with emphasis on RNA fragmentomics. As sequencing offers a one-dimensional projection of a four-dimensional reality, prior structure-level knowledge is often needed to make sense of the data. Consequently, while less-biased sequencing methods are welcomed, integration of orthologous experimental techniques is also strongly recommended.
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Affiliation(s)
- Juan Pablo Tosar
- Functional Genomics Laboratory, Institut Pasteur de Montevideo, Montevideo, Uruguay.
- Analytical Biochemistry Unit, Center for Nuclear Research, School of Science, Universidad de la República, Montevideo, Uruguay.
| | - Mauricio Castellano
- Functional Genomics Laboratory, Institut Pasteur de Montevideo, Montevideo, Uruguay
- Biochemistry Department, School of Science, Universidad de la República, Montevideo, Uruguay
| | - Bruno Costa
- Functional Genomics Laboratory, Institut Pasteur de Montevideo, Montevideo, Uruguay
- Analytical Biochemistry Unit, Center for Nuclear Research, School of Science, Universidad de la República, Montevideo, Uruguay
| | - Alfonso Cayota
- Functional Genomics Laboratory, Institut Pasteur de Montevideo, Montevideo, Uruguay
- Hospital de Clínicas, Universidad de la República, Montevideo, Uruguay
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6
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Giguère S, Wang X, Huber S, Xu L, Warner J, Weldon SR, Hu J, Phan QA, Tumang K, Prum T, Ma D, Kirsch KH, Nair U, Dedon P, Batista FD. Antibody production relies on the tRNA inosine wobble modification to meet biased codon demand. Science 2024; 383:205-211. [PMID: 38207021 PMCID: PMC10954030 DOI: 10.1126/science.adi1763] [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: 04/13/2023] [Accepted: 11/27/2023] [Indexed: 01/13/2024]
Abstract
Antibodies are produced at high rates to provide immunoprotection, which puts pressure on the B cell translational machinery. Here, we identified a pattern of codon usage conserved across antibody genes. One feature thereof is the hyperutilization of codons that lack genome-encoded Watson-Crick transfer RNAs (tRNAs), instead relying on the posttranscriptional tRNA modification inosine (I34), which expands the decoding capacity of specific tRNAs through wobbling. Antibody-secreting cells had increased I34 levels and were more reliant on I34 for protein production than naïve B cells. Furthermore, antibody I34-dependent codon usage may influence B cell passage through regulatory checkpoints. Our work elucidates the interface between the tRNA pool and protein production in the immune system and has implications for the design and selection of antibodies for vaccines and therapeutics.
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Affiliation(s)
- Sophie Giguère
- The Ragon Institute of Mass General, MIT, and Harvard, Cambridge, MA 02139, USA
| | - Xuesong Wang
- The Ragon Institute of Mass General, MIT, and Harvard, Cambridge, MA 02139, USA
| | - Sabrina Huber
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Liling Xu
- The Ragon Institute of Mass General, MIT, and Harvard, Cambridge, MA 02139, USA
| | - John Warner
- The Ragon Institute of Mass General, MIT, and Harvard, Cambridge, MA 02139, USA
| | - Stephanie R. Weldon
- The Ragon Institute of Mass General, MIT, and Harvard, Cambridge, MA 02139, USA
| | - Jennifer Hu
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Quynh Anh Phan
- The Ragon Institute of Mass General, MIT, and Harvard, Cambridge, MA 02139, USA
| | - Katie Tumang
- The Ragon Institute of Mass General, MIT, and Harvard, Cambridge, MA 02139, USA
| | - Thavaleak Prum
- The Ragon Institute of Mass General, MIT, and Harvard, Cambridge, MA 02139, USA
| | - Duanduan Ma
- BioMicro Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Kathrin H. Kirsch
- The Ragon Institute of Mass General, MIT, and Harvard, Cambridge, MA 02139, USA
| | - Usha Nair
- The Ragon Institute of Mass General, MIT, and Harvard, Cambridge, MA 02139, USA
| | - Peter Dedon
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Singapore-MIT Alliance for Research and Technology, Singapore 138602
| | - Facundo D. Batista
- The Ragon Institute of Mass General, MIT, and Harvard, Cambridge, MA 02139, USA
- Department of Immunology, Harvard Medical School, Boston, MA 02115, USA
- Department of Microbiology, Harvard Medical School, Boston, MA 02115, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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7
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Lucas MC, Pryszcz LP, Medina R, Milenkovic I, Camacho N, Marchand V, Motorin Y, Ribas de Pouplana L, Novoa EM. Quantitative analysis of tRNA abundance and modifications by nanopore RNA sequencing. Nat Biotechnol 2024; 42:72-86. [PMID: 37024678 DOI: 10.1038/s41587-023-01743-6] [Citation(s) in RCA: 34] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 03/08/2023] [Indexed: 04/08/2023]
Abstract
Transfer RNAs (tRNAs) play a central role in protein translation. Studying them has been difficult in part because a simple method to simultaneously quantify their abundance and chemical modifications is lacking. Here we introduce Nano-tRNAseq, a nanopore-based approach to sequence native tRNA populations that provides quantitative estimates of both tRNA abundances and modification dynamics in a single experiment. We show that default nanopore sequencing settings discard the vast majority of tRNA reads, leading to poor sequencing yields and biased representations of tRNA abundances based on their transcript length. Re-processing of raw nanopore current intensity signals leads to a 12-fold increase in the number of recovered tRNA reads and enables recapitulation of accurate tRNA abundances. We then apply Nano-tRNAseq to Saccharomyces cerevisiae tRNA populations, revealing crosstalks and interdependencies between different tRNA modification types within the same molecule and changes in tRNA populations in response to oxidative stress.
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Affiliation(s)
- Morghan C Lucas
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Leszek P Pryszcz
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Rebeca Medina
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Ivan Milenkovic
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Noelia Camacho
- Institute for Research in Biomedicine (IRB), Barcelona, Spain
| | - Virginie Marchand
- CNRS-Université de Lorraine, UAR2008 IBSLor/UMR7365 IMoPA, Nancy, France
| | - Yuri Motorin
- CNRS-Université de Lorraine, UAR2008 IBSLor/UMR7365 IMoPA, Nancy, France
| | - Lluís Ribas de Pouplana
- Institute for Research in Biomedicine (IRB), Barcelona, Spain
- Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain
| | - Eva Maria Novoa
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, Barcelona, Spain.
- Universitat Pompeu Fabra (UPF), Barcelona, Spain.
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8
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Mitchener M, Begley TJ, Dedon PC. Molecular Coping Mechanisms: Reprogramming tRNAs To Regulate Codon-Biased Translation of Stress Response Proteins. Acc Chem Res 2023; 56:3504-3514. [PMID: 37992267 PMCID: PMC10702489 DOI: 10.1021/acs.accounts.3c00572] [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: 09/10/2023] [Revised: 11/01/2023] [Accepted: 11/03/2023] [Indexed: 11/24/2023]
Abstract
As part of the classic central dogma of molecular biology, transfer RNAs (tRNAs) are integral to protein translation as the adaptor molecules that link the genetic code in messenger RNA (mRNA) to the amino acids in the growing peptide chain. tRNA function is complicated by the existence of 61 codons to specify 20 amino acids, with most amino acids coded by two or more synonymous codons. Further, there are often fewer tRNAs with unique anticodons than there are synonymous codons for an amino acid, with a single anticodon able to decode several codons by "wobbling" of the base pairs arising between the third base of the codon and the first position on the anticodon. The complications introduced by synonymous codons and wobble base pairing began to resolve in the 1960s with the discovery of dozens of chemical modifications of the ribonucleotides in tRNA, which, by analogy to the epigenome, are now collectively referred to as the epitranscriptome for not changing the genetic code inherent to all RNA sequences. tRNA modifications were found to stabilize codon-anticodon interactions, prevent misinitiation of translation, and promote translational fidelity, among other functions, with modification deficiencies causing pathological phenotypes. This led to hypotheses that modification-dependent tRNA decoding efficiencies might play regulatory roles in cells. However, it was only with the advent of systems biology and convergent "omic" technologies that the higher level function of synonymous codons and tRNA modifications began to emerge.Here, we describe our laboratories' discovery of tRNA reprogramming and codon-biased translation as a mechanism linking tRNA modifications and synonymous codon usage to regulation of gene expression at the level of translation. Taking a historical approach, we recount how we discovered that the 8-10 modifications in each tRNA molecule undergo unique reprogramming in response to cellular stresses to promote translation of mRNA transcripts with unique codon usage patterns. These modification tunable transcripts (MoTTs) are enriched with specific codons that are differentially decoded by modified tRNAs and that fall into functional families of genes encoding proteins necessary to survive the specific stress. By developing and applying systems-level technologies, we showed that cells lacking specific tRNA modifications are sensitized to certain cellular stresses by mistranslation of proteins, disruption of mitochondrial function, and failure to translate critical stress response proteins. In essence, tRNA reprogramming serves as a cellular coping strategy, enabling rapid translation of proteins required for stress-specific cell response programs. Notably, this phenomenon has now been characterized in all organisms from viruses to humans and in response to all types of environmental changes. We also elaborate on recent findings that cancer cells hijack this mechanism to promote their own growth, metastasis, and chemotherapeutic resistance. We close by discussing how understanding of codon-biased translation in various systems can be exploited to develop new therapeutics and biomanufacturing processes.
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Affiliation(s)
- Michelle
M. Mitchener
- Antimicrobial
Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology Centre, Singapore 138602, Singapore
| | - Thomas J. Begley
- Department
of Biological Sciences, University at Albany, Albany, New York 12222, United States
- RNA
Institute, University at Albany, Albany, New York 12222, United States
| | - Peter C. Dedon
- Antimicrobial
Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology Centre, Singapore 138602, Singapore
- Department
of Biological Engineering, Massachusetts
Institute of Technology, Cambridge, Massachusetts 02139, United States
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9
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Kwun MJ, Ion AV, Oggioni MR, Bentley S, Croucher N. Diverse regulatory pathways modulate bet hedging of competence induction in epigenetically-differentiated phase variants of Streptococcus pneumoniae. Nucleic Acids Res 2023; 51:10375-10394. [PMID: 37757859 PMCID: PMC10602874 DOI: 10.1093/nar/gkad760] [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: 05/18/2022] [Revised: 08/29/2023] [Accepted: 09/15/2023] [Indexed: 09/29/2023] Open
Abstract
Despite enabling Streptococcus pneumoniae to acquire antibiotic resistance and evade vaccine-induced immunity, transformation occurs at variable rates across pneumococci. Phase variants of isolate RMV7, distinguished by altered methylation patterns driven by the translocating variable restriction-modification (tvr) locus, differed significantly in their transformation efficiencies and biofilm thicknesses. These differences were replicated when the corresponding tvr alleles were introduced into an RMV7 derivative lacking the locus. RNA-seq identified differential expression of the type 1 pilus, causing the variation in biofilm formation, and inhibition of competence induction in the less transformable variant, RMV7domi. This was partly attributable to RMV7domi's lower expression of ManLMN, which promoted competence induction through importing N-acetylglucosamine. This effect was potentiated by analogues of some proteobacterial competence regulatory machinery. Additionally, one of RMV7domi's phage-related chromosomal island was relatively active, which inhibited transformation by increasing expression of the stress response proteins ClpP and HrcA. However, HrcA increased competence induction in the other variant, with its effects depending on Ca2+ supplementation and heat shock. Hence the heterogeneity in transformation efficiency likely reflects the diverse signalling pathways by which it is affected. This regulatory complexity will modulate population-wide responses to synchronising quorum sensing signals to produce co-ordinated yet stochastic bet hedging behaviour.
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Affiliation(s)
- Min Jung Kwun
- MRC Centre for Global Infectious Disease Analysis, Sir Michael Uren Hub, White City Campus, Imperial College London, London W12 0BZ, UK
| | - Alexandru V Ion
- MRC Centre for Global Infectious Disease Analysis, Sir Michael Uren Hub, White City Campus, Imperial College London, London W12 0BZ, UK
| | - Marco R Oggioni
- Department of Genetics, University of Leicester, University Road, Leicester LE1 7RH, UK
- Dipartimento di Farmacia e Biotecnologie, Università di Bologna, Via Irnerio 42, 40126 Bologna, Italy
| | - Stephen D Bentley
- Parasites & Microbes, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Nicholas J Croucher
- MRC Centre for Global Infectious Disease Analysis, Sir Michael Uren Hub, White City Campus, Imperial College London, London W12 0BZ, UK
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10
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Chen Q, Zhou T. Emerging functional principles of tRNA-derived small RNAs and other regulatory small RNAs. J Biol Chem 2023; 299:105225. [PMID: 37673341 PMCID: PMC10562873 DOI: 10.1016/j.jbc.2023.105225] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2023] [Revised: 08/22/2023] [Accepted: 08/28/2023] [Indexed: 09/08/2023] Open
Abstract
Recent advancements in small RNA sequencing have unveiled a previously hidden world of regulatory small noncoding RNAs (sncRNAs) that extend beyond the well-studied small interfering RNAs, microRNAs, and piwi-interacting RNAs. This exploration, starting with tRNA-derived small RNAs, has led to the discovery of a diverse universe of sncRNAs derived from various longer structured RNAs such as rRNAs, small nucleolar RNAs, small nuclear RNAs, Y RNAs, and vault RNAs, with exciting uncharted functional possibilities. In this perspective, we discuss the emerging functional principles of sncRNAs beyond the well-known RNAi-like mechanisms, focusing on those that operate independent of linear sequence complementarity but rather function in an aptamer-like fashion. Aptamers use 3D structure for specific interactions with ligands and are modulated by RNA modifications and subcellular environments. Given that aptamer-like sncRNA functions are widespread and present in species lacking RNAi, they may represent an ancient functional principle that predates RNAi. We propose a rethinking of the origin of RNAi and its relationship with these aptamer-like functions in sncRNAs and how these complementary mechanisms shape biological processes. Lastly, the aptamer-like function of sncRNAs highlights the need for caution in using small RNA mimics in research and therapeutics, as their specificity is not restricted solely to linear sequence.
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Affiliation(s)
- Qi Chen
- Molecular Medicine Program, University of Utah School of Medicine, Salt Lake City, Utah, USA; Division of Urology, Department of Surgery, University of Utah School of Medicine, Salt Lake City, Utah, USA; Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, Utah, USA.
| | - Tong Zhou
- Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, Nevada, USA.
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11
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Yu P, Zhou S, Gao Y, Liang Y, Guo W, Wang DO, Ding S, Lin S, Wang J, Cun Y. Dynamic Landscapes of tRNA Transcriptomes and Translatomes in Diverse Mouse Tissues. GENOMICS, PROTEOMICS & BIOINFORMATICS 2023; 21:834-849. [PMID: 35952936 PMCID: PMC10787195 DOI: 10.1016/j.gpb.2022.07.006] [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: 02/04/2022] [Revised: 07/02/2022] [Accepted: 07/26/2022] [Indexed: 06/15/2023]
Abstract
Although the function of tRNAs in the translational process is well established, it remains controversial whether tRNA abundance is tightly associated with translational efficiency (TE) in mammals. Moreover, how critically the expression of tRNAs contributes to the establishment of tissue-specific proteomes in mammals has not been well addressed. Here, we measured both tRNA expression using demethylase-tRNA sequencing (DM-tRNA-seq) and TE of mRNAs using ribosome-tagging sequencing (RiboTag-seq) in the brain, heart, and testis of mice. Remarkable variation in the expression of tRNA isodecoders was observed among different tissues. When the statistical effect of isodecoder-grouping on reducing variations is considered through permutating the anticodons, we observed an expected reduction in the variation of anticodon expression across all samples, an unexpected smaller variation of anticodon usage bias, and an unexpected larger variation of tRNA isotype expression at amino acid level. Regardless of whether or not they share the same anticodons, the isodecoders encoding the same amino acids are co-expressed across different tissues. Based on the expression of tRNAs and the TE of mRNAs, we find that the tRNA adaptation index (tAI) and TE are significantly correlated in the same tissues but not between tissues; and tRNA expression and the amino acid composition of translating peptides are positively correlated in the same tissues but not between tissues. We therefore hypothesize that the tissue-specific expression of tRNAs might be due to post-transcriptional mechanisms. This study provides a resource for tRNA and translation studies, as well as novel insights into the dynamics of tRNAs and their roles in translational regulation.
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Affiliation(s)
- Peng Yu
- Center for Translational Medicine, Precision Medicine Institute, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China; Department of Radiation Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou 510080, China
| | - Siting Zhou
- Department of Medical Informatics, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China; Center for Stem Cell Biology and Tissue Engineering, MOE Key Laboratory for Stem Cells and Tissue Engineering, Sun Yat-sen University, Guangzhou 510080, China
| | - Yan Gao
- Department of Medical Informatics, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China; Center for Stem Cell Biology and Tissue Engineering, MOE Key Laboratory for Stem Cells and Tissue Engineering, Sun Yat-sen University, Guangzhou 510080, China
| | - Yu Liang
- Center for Translational Medicine, Precision Medicine Institute, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Wenbing Guo
- Department of Medical Informatics, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China; Center for Stem Cell Biology and Tissue Engineering, MOE Key Laboratory for Stem Cells and Tissue Engineering, Sun Yat-sen University, Guangzhou 510080, China
| | - Dan Ohtan Wang
- RIKEN Center for Biosystems Dynamics Research, Kobe 650-0047, Japan; Graduate School of Biostudies, Kyoto University, Kyoto 606-8501, Japan; Wuya College of Innovation, Shenyang Pharmaceutical University, Shenyang 110016, China
| | - Shuaiwen Ding
- Department of Medical Informatics, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China
| | - Shuibin Lin
- Center for Translational Medicine, Precision Medicine Institute, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China.
| | - Jinkai Wang
- Department of Medical Informatics, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China; Center for Stem Cell Biology and Tissue Engineering, MOE Key Laboratory for Stem Cells and Tissue Engineering, Sun Yat-sen University, Guangzhou 510080, China; RNA Biomedical Institute, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510080, China.
| | - Yixian Cun
- Department of Medical Informatics, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China; Center for Stem Cell Biology and Tissue Engineering, MOE Key Laboratory for Stem Cells and Tissue Engineering, Sun Yat-sen University, Guangzhou 510080, China.
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12
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Xiong Q, Zhang Y. Small RNA modifications: regulatory molecules and potential applications. J Hematol Oncol 2023; 16:64. [PMID: 37349851 PMCID: PMC10286502 DOI: 10.1186/s13045-023-01466-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 06/14/2023] [Indexed: 06/24/2023] Open
Abstract
Small RNAs (also referred to as small noncoding RNAs, sncRNA) are defined as polymeric ribonucleic acid molecules that are less than 200 nucleotides in length and serve a variety of essential functions within cells. Small RNA species include microRNA (miRNA), PIWI-interacting RNA (piRNA), small interfering RNA (siRNA), tRNA-derived small RNA (tsRNA), etc. Current evidence suggest that small RNAs can also have diverse modifications to their nucleotide composition that affect their stability as well as their capacity for nuclear export, and these modifications are relevant to their capacity to drive molecular signaling processes relevant to biogenesis, cell proliferation and differentiation. In this review, we highlight the molecular characteristics and cellular functions of small RNA and their modifications, as well as current techniques for their reliable detection. We also discuss how small RNA modifications may be relevant to the clinical applications for the diagnosis and treatment of human health conditions such as cancer.
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Affiliation(s)
- Qunli Xiong
- State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics and Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
- Abdominal Oncology Ward, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yaguang Zhang
- State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics and Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
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13
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Liu D, Xu C, Liu Y, Ouyang W, Lin S, Xu A, Zhang Y, Xie Y, Huang Q, Zhao W, Chen Z, Wang L, Chen S, Huang J, Wu ZB, Sun X. A systematic survey of LU domain-containing proteins reveals a novel human gene, LY6A, which encodes the candidate ortholog of mouse Ly-6A/Sca-1 and is aberrantly expressed in pituitary tumors. Front Med 2023; 17:458-475. [PMID: 36928550 DOI: 10.1007/s11684-022-0968-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 10/12/2022] [Indexed: 03/18/2023]
Abstract
The Ly-6 and uPAR (LU) domain-containing proteins represent a large family of cell-surface markers. In particular, mouse Ly-6A/Sca-1 is a widely used marker for various stem cells; however, its human ortholog is missing. In this study, based on a systematic survey and comparative genomic study of mouse and human LU domain-containing proteins, we identified a previously unannotated human gene encoding the candidate ortholog of mouse Ly-6A/Sca-1. This gene, hereby named LY6A, reversely overlaps with a lncRNA gene in the majority of exonic sequences. We found that LY6A is aberrantly expressed in pituitary tumors, but not in normal pituitary tissues, and may contribute to tumorigenesis. Similar to mouse Ly-6A/Sca-1, human LY6A is also upregulated by interferon, suggesting a conserved transcriptional regulatory mechanism between humans and mice. We cloned the full-length LY6A cDNA, whose encoded protein sequence, domain architecture, and exon-intron structures are all well conserved with mouse Ly-6A/Sca-1. Ectopic expression of the LY6A protein in cells demonstrates that it acts the same as mouse Ly-6A/Sca-1 in their processing and glycosylphosphatidylinositol anchoring to the cell membrane. Collectively, these studies unveil a novel human gene encoding a candidate biomarker and provide an interesting model gene for studying gene regulatory and evolutionary mechanisms.
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Affiliation(s)
- Dan Liu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Key Laboratory of Systems Biomedicine, Ministry of Education, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Chunhui Xu
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yanting Liu
- Department of Neurosurgery, Center of Pituitary Tumor, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Wen Ouyang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Shaojian Lin
- Department of Neurosurgery, Center of Pituitary Tumor, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Aining Xu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yuanliang Zhang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yinyin Xie
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Qiuhua Huang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Weili Zhao
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Zhu Chen
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Lan Wang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Saijuan Chen
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Jinyan Huang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- Biomedical Big Data Center, First Affiliated Hospital, Zhejiang University School of Medicine, and Cancer Center, Zhejiang University, Hangzhou, 310000, China.
| | - Zhe Bao Wu
- Department of Neurosurgery, Center of Pituitary Tumor, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- Department of Neurosurgery, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
| | - Xiaojian Sun
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
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14
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Gómez-Martín C, Aparicio-Puerta E, van Eijndhoven MA, Medina JM, Hackenberg M, Pegtel DM. Reassessment of miRNA variant (isomiRs) composition by small RNA sequencing. CELL REPORTS METHODS 2023; 3:100480. [PMID: 37323569 PMCID: PMC10261927 DOI: 10.1016/j.crmeth.2023.100480] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 03/07/2023] [Accepted: 04/21/2023] [Indexed: 06/17/2023]
Abstract
IsomiRs, sequence variants of mature microRNAs, are usually detected and quantified using high-throughput sequencing. Many examples of their biological relevance have been reported, but sequencing artifacts identified as artificial variants might bias biological inference and therefore need to be ideally avoided. We conducted a comprehensive evaluation of 10 different small RNA sequencing protocols, exploring both a theoretically isomiR-free pool of synthetic miRNAs and HEK293T cells. We calculated that, with the exception of two protocols, less than 5% of miRNA reads can be attributed to library preparation artifacts. Randomized-end adapter protocols showed superior accuracy, with 40% of true biological isomiRs. Nevertheless, we demonstrate concordance across protocols for selected miRNAs in non-templated uridyl additions. Notably, NTA-U calling and isomiR target prediction can be inaccurate when using protocols with poor single-nucleotide resolution. Our results highlight the relevance of protocol choice for biological isomiRs detection and annotation, which has key potential implications for biomedical applications.
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Affiliation(s)
- Cristina Gómez-Martín
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Pathology, De Boelelaan, 1117 Amsterdam, the Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, the Netherlands
| | | | - Monique A.J. van Eijndhoven
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Pathology, De Boelelaan, 1117 Amsterdam, the Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, the Netherlands
| | - José M. Medina
- Department of Genetics, Faculty of Science, University of Granada, 18071 Granada, Spain
- Bioinformatics Laboratory, Biotechnology Institute, Centro de Investigación Biomédica, PTS, Avda. del Conocimiento s/n, 18100 Granada, Spain
| | - Michael Hackenberg
- Department of Genetics, Faculty of Science, University of Granada, 18071 Granada, Spain
- Bioinformatics Laboratory, Biotechnology Institute, Centro de Investigación Biomédica, PTS, Avda. del Conocimiento s/n, 18100 Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, University of Granada, 18071 Granada, Spain
- Excellence Research Unit “Modelling Nature” (MNat), University of Granada, 18071 Granada, Spain
| | - D. Michiel Pegtel
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Pathology, De Boelelaan, 1117 Amsterdam, the Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, the Netherlands
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15
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Ren D, Mo Y, Yang M, Wang D, Wang Y, Yan Q, Guo C, Xiong W, Wang F, Zeng Z. Emerging roles of tRNA in cancer. Cancer Lett 2023; 563:216170. [PMID: 37054943 DOI: 10.1016/j.canlet.2023.216170] [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: 02/15/2023] [Revised: 04/01/2023] [Accepted: 04/05/2023] [Indexed: 04/15/2023]
Abstract
Transfer RNAs (tRNAs) play pivotal roles in the transmission of genetic information, and abnormality of tRNAs directly leads to translation disorders and causes diseases, including cancer. The complex modifications enable tRNA to execute its delicate biological function. Alteration of appropriate modifications may affect the stability of tRNA, impair its ability to carry amino acids, and disrupt the pairing between anticodons and codons. Studies confirmed that dysregulation of tRNA modifications plays an important role in carcinogenesis. Furthermore, when the stability of tRNA is impaired, tRNAs are cleaved into small tRNA fragments (tRFs) by specific RNases. Though tRFs have been found to play vital regulatory roles in tumorigenesis, its formation process is far from clear. Understanding improper tRNA modifications and abnormal formation of tRFs in cancer is conducive to uncovering the role of metabolic process of tRNA under pathological conditions, which may open up new avenues for cancer prevention and treatment.
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Affiliation(s)
- Daixi Ren
- NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China; Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, China.
| | - Yongzhen Mo
- NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China; Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, China
| | - Mei Yang
- NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China; Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, China
| | - Dan Wang
- NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China; Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, China
| | - Yumin Wang
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, China; Department of Otolaryngology Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha, China
| | - Qijia Yan
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, China; Department of Otolaryngology Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha, China
| | - Can Guo
- NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China; Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, China
| | - Wei Xiong
- NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China; Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, China
| | - Fuyan Wang
- NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China; Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, China.
| | - Zhaoyang Zeng
- NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China; Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, China.
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16
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Gong M, Deng Y, Xiang Y, Ye D. The role and mechanism of action of tRNA-derived fragments in the diagnosis and treatment of malignant tumors. Cell Commun Signal 2023; 21:62. [PMID: 36964534 PMCID: PMC10036988 DOI: 10.1186/s12964-023-01079-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Accepted: 02/13/2023] [Indexed: 03/26/2023] Open
Abstract
Cancer is a leading cause of morbidity and death worldwide. While various factors are established as causing malignant tumors, the mechanisms underlying cancer development remain poorly understood. Early diagnosis and the development of effective treatments for cancer are important research topics. Transfer RNA (tRNA), the most abundant class of RNA molecules in the human transcriptome, participates in both protein synthesis and cellular metabolic processes. tRNA-derived fragments (tRFs) are produced by specific cleavage of pre-tRNA and mature tRNA molecules, which are highly conserved and occur widely in various organisms. tRFs were initially thought to be random products with no physiological function, but have been redefined as novel functional small non-coding RNA molecules that help to regulate RNA stability, modulate translation, and influence target gene expression, as well as other biological processes. There is increasing evidence supporting roles for tRFs in tumorigenesis and cancer development, including the regulation of tumor cell proliferation, invasion, migration, and drug resistance. Understanding the regulatory mechanisms by which tRFs impact these processes has potential to inform malignant tumor diagnosis and treatment. Further, tRFs are expected to become new biological markers for early diagnosis and prognosis prediction in patients with tumors, as well as a targets for precision cancer therapies. Video abstract.
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Affiliation(s)
- Mengdan Gong
- Department of Otorhinolaryngology-Head and Neck Surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, 315040, Zhejiang, China
| | - Yongqin Deng
- Department of Otorhinolaryngology-Head and Neck Surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, 315040, Zhejiang, China
| | - Yizhen Xiang
- Department of Otorhinolaryngology-Head and Neck Surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, 315040, Zhejiang, China
| | - Dong Ye
- Department of Otorhinolaryngology-Head and Neck Surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, 315040, Zhejiang, China.
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17
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Scheepbouwer C, Aparicio-Puerta E, Gomez-Martin C, Verschueren H, van Eijndhoven M, Wedekind LE, Giannoukakos S, Hijmering N, Gasparotto L, van der Galien HT, van Rijn RS, Aronica E, Kibbelaar R, Heine VM, Wesseling P, Noske DP, Vandertop WP, de Jong D, Pegtel DM, Hackenberg M, Wurdinger T, Gerber A, Koppers-Lalic D. ALL-tRNAseq enables robust tRNA profiling in tissue samples. Genes Dev 2023; 37:243-257. [PMID: 36810209 PMCID: PMC10111867 DOI: 10.1101/gad.350233.122] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 01/26/2023] [Indexed: 02/23/2023]
Abstract
Transfer RNAs (tRNAs) are small adaptor RNAs essential for mRNA translation. Alterations in the cellular tRNA population can directly affect mRNA decoding rates and translational efficiency during cancer development and progression. To evaluate changes in the composition of the tRNA pool, multiple sequencing approaches have been developed to overcome reverse transcription blocks caused by the stable structures of these molecules and their numerous base modifications. However, it remains unclear whether current sequencing protocols faithfully capture tRNAs existing in cells or tissues. This is specifically challenging for clinical tissue samples that often present variable RNA qualities. For this reason, we developed ALL-tRNAseq, which combines the highly processive MarathonRT and RNA demethylation for the robust assessment of tRNA expression, together with a randomized adapter ligation strategy prior to reverse transcription to assess tRNA fragmentation levels in both cell lines and tissues. Incorporation of tRNA fragments not only informed on sample integrity but also significantly improved tRNA profiling of tissue samples. Our data showed that our profiling strategy effectively improves classification of oncogenic signatures in glioblastoma and diffuse large B-cell lymphoma tissues, particularly for samples presenting higher levels of RNA fragmentation, further highlighting the utility of ALL-tRNAseq for translational research.
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Affiliation(s)
- Chantal Scheepbouwer
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam University Medical Center (UMC) location Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands;
- Brain Tumor Center Amsterdam, Amsterdam UMC location Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
- Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC location Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
| | | | - Cristina Gomez-Martin
- Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC location Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
| | - Heleen Verschueren
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam University Medical Center (UMC) location Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
- Brain Tumor Center Amsterdam, Amsterdam UMC location Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
| | - Monique van Eijndhoven
- Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC location Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
| | - Laurine E Wedekind
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam University Medical Center (UMC) location Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
- Brain Tumor Center Amsterdam, Amsterdam UMC location Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
| | - Stavros Giannoukakos
- Genetics Department, Faculty of Science, University of Granada, 18071 Granada, Spain
| | - Nathalie Hijmering
- Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC location Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
| | - Lisa Gasparotto
- Department of Child and Adolescent Psychiatry, Emma Children's Hospital, Amsterdam UMC, Neuroscience, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
| | - Hilde T van der Galien
- Department of Hematology, Medical Center Leeuwarden, 8934 AD Leeuwarden, the Netherlands
- HemoBase Population Registry Consortium, 8934 AD Leeuwarden, the Netherlands
| | - Roos S van Rijn
- Department of Hematology, Medical Center Leeuwarden, 8934 AD Leeuwarden, the Netherlands
- HemoBase Population Registry Consortium, 8934 AD Leeuwarden, the Netherlands
| | - Eleonora Aronica
- Department of (Neuro)Pathology Amsterdam Neuroscience, Amsterdam UMC location University of Amsterdam, 1105 AZ Amsterdam, the Netherlands
| | - Robby Kibbelaar
- HemoBase Population Registry Consortium, 8934 AD Leeuwarden, the Netherlands
- Department of Pathology, Pathology Friesland, 8917 EN Leeuwarden, the Netherlands
| | - Vivi M Heine
- Department of Child and Adolescent Psychiatry, Emma Children's Hospital, Amsterdam UMC, Neuroscience, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
| | - Pieter Wesseling
- Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC location Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
- Laboratory for Childhood Cancer Pathology, Princess Máxima Center for Pediatric Oncology, University Medical Center Utrecht, 3584 CS Utrecht, the Netherlands
| | - David P Noske
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam University Medical Center (UMC) location Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
- Brain Tumor Center Amsterdam, Amsterdam UMC location Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
| | - W Peter Vandertop
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam University Medical Center (UMC) location Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
- Brain Tumor Center Amsterdam, Amsterdam UMC location Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
| | - Daphne de Jong
- Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC location Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
| | - D Michiel Pegtel
- Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC location Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
| | - Michael Hackenberg
- Genetics Department, Faculty of Science, University of Granada, 18071 Granada, Spain
| | - Tom Wurdinger
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam University Medical Center (UMC) location Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
- Brain Tumor Center Amsterdam, Amsterdam UMC location Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
| | - Alan Gerber
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam University Medical Center (UMC) location Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
- Brain Tumor Center Amsterdam, Amsterdam UMC location Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
| | - Danijela Koppers-Lalic
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam University Medical Center (UMC) location Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands;
- Brain Tumor Center Amsterdam, Amsterdam UMC location Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
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18
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Zhang HX, Qin JF, Sun JF, Pan Y, Yan TM, Wang CY, Bai LP, Zhu GY, Jiang ZH, Zhang W. Selective Chemical Labeling Strategy for Oligonucleotides Determination: A First Application to Full-Range Profiling of Transfer RNA Modifications. Anal Chem 2023; 95:686-694. [PMID: 36601728 DOI: 10.1021/acs.analchem.2c02302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
To date, the extremely high polarity and poor signal intensity of macromolecular nucleic acids are greatly impeding the progress of mass spectrometry technology in the quality control of nucleic acid drugs and the characterization of DNA oxidation and RNA modifications. We recently described a general N-(tert-butyldimethylsilyl)-N-methyl-trifluoroacetamide (MTBSTFA) labeling method for oligonucleotide determination and applied it to the full-range profiling of tRNA in vitro and in vivo studies for the first time. The primary advantages of this method include strong retention, no observable byproducts, predictable and easily interpreted MS2 data, and the circumvention of instrument harmful reagents that were necessary in previous methods. Selective labeling of N-(tert-butyldimethylsilyl)-N-methyl-trifluoroacetamide to the terminal phosphate groups of oligonucleotides endows it broadly applicable for DNA/RNA profiling. Moreover, the improvement of sequence coverage was achieved in yeast tRNAphe(GAA) analysis owing to this method's good detection capability of 1-12 nucleotides in length. We also extended this strategy to determine the abundance of modified bases and discover new modifications via digesting RNA into single-nucleotide products, promoting the comprehensive mapping of RNA. The easy availability of derivatization reagent and the simple, rapid one-step reaction render it easy to operate for researchers. When applied in characterizing tRNAs in HepG2 cells and rats with nonalcoholic fatty liver disease, a fragment of U[m1G][m2G], specific for tRNAAsn(QUU) in cells, was significantly upregulated, indicating a possible clue to nonalcoholic fatty liver disease pathogenesis.
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Affiliation(s)
- Hui-Xia Zhang
- State Key Laboratory of Quality Research in Chinese Medicines, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau 999078, People's Republic of China
| | - Jian-Feng Qin
- State Key Laboratory of Quality Research in Chinese Medicines, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau 999078, People's Republic of China
| | - Jian-Feng Sun
- State Key Laboratory of Quality Research in Chinese Medicines, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau 999078, People's Republic of China
| | - Yu Pan
- State Key Laboratory of Quality Research in Chinese Medicines, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau 999078, People's Republic of China
| | - Tong-Meng Yan
- State Key Laboratory of Quality Research in Chinese Medicines, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau 999078, People's Republic of China
| | - Cai-Yun Wang
- State Key Laboratory of Quality Research in Chinese Medicines, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau 999078, People's Republic of China
| | - Li-Ping Bai
- State Key Laboratory of Quality Research in Chinese Medicines, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau 999078, People's Republic of China
| | - Guo-Yuan Zhu
- State Key Laboratory of Quality Research in Chinese Medicines, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau 999078, People's Republic of China
| | - Zhi-Hong Jiang
- State Key Laboratory of Quality Research in Chinese Medicines, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau 999078, People's Republic of China
| | - Wei Zhang
- State Key Laboratory of Quality Research in Chinese Medicines, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau 999078, People's Republic of China
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19
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Xia L, Guo H, Wu X, Xu Y, Zhao P, Yan B, Zeng Y, He Y, Chen D, Gale RP, Zhang Y, Zhang X. Human circulating small non-coding RNA signature as a non-invasive biomarker in clinical diagnosis of acute myeloid leukaemia. Theranostics 2023; 13:1289-1301. [PMID: 36923527 PMCID: PMC10008735 DOI: 10.7150/thno.80054] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 02/02/2023] [Indexed: 02/17/2023] Open
Abstract
Background: Acute myeloid leukaemia (AML) is the most common acute leukaemia in adults; AML is highly heterogeneous and involves abnormalities at multiple omics levels. Small non-coding RNAs (sncRNAs) present in body fluids are important regulatory molecules and considered promising non-invasive clinical diagnostic biomarkers for disease. However, the signature of sncRNA profile alteration in AML patient serum and bone marrow supernatant is still under exploration. Methods: We examined data for blood and bone marrow samples from 80 consecutive, newly-diagnosed patients with AML and 12 healthy controls for high throughput small RNA-sequencing. Differentially expressed sncRNAs were analysed to reveal distinct patterns between AML patients and controls. Machine learning methods were used to evaluate the efficiency of specific sncRNAs in discriminating individuals with AML from controls. The altered expression level of individual sncRNAs was evaluated by RT-PCR, Q-PCR, and northern blot. Correlation analysis was employed to assess sncRNA patterns between serum and bone marrow supernatant. Results: We identified over 20 types of sncRNA categories beyond miRNAs in both serum and bone marrow supernatant, with highly coordinated expression patterns between them. Non-classical sncRNAs, including rsRNA (62.86%), ysRNA (14.97%), and tsRNA (4.22%), dominated among serum sncRNAs and showed sensitive alteration patterns in AML patients. According to machine learning-based algorithms, the tsRNA-based signature robustly discriminated subjects with AML from controls and was more reliable than that comprising miRNAs. Our data also showed that serum tsRNAs to be closely associated with AML prognosis, suggesting the potential application of serum tsRNAs as biomarkers to assist in AML diagnosis. Conclusions: We comprehensively characterized the expression pattern of circulating sncRNAs in blood and bone marrow and their alteration signature between healthy controls and AML patients. This study enriches research of sncRNAs in the regulation of AML, and provides insights into the role of sncRNAs in AML.
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Affiliation(s)
- Lin Xia
- Medical Center of Hematology, Xinqiao Hospital, State Key Laboratory of Trauma, Burns and Combined Injury, Army Medical University, Chongqing, China
| | - Huanping Guo
- Medical Center of Hematology, Xinqiao Hospital, State Key Laboratory of Trauma, Burns and Combined Injury, Army Medical University, Chongqing, China
| | - Xiao Wu
- Medical Center of Hematology, Xinqiao Hospital, State Key Laboratory of Trauma, Burns and Combined Injury, Army Medical University, Chongqing, China
| | - Yinying Xu
- Medical Center of Hematology, Xinqiao Hospital, State Key Laboratory of Trauma, Burns and Combined Injury, Army Medical University, Chongqing, China
| | - Pan Zhao
- Medical Center of Hematology, Xinqiao Hospital, State Key Laboratory of Trauma, Burns and Combined Injury, Army Medical University, Chongqing, China
| | - Bingbing Yan
- Medical Center of Hematology, Xinqiao Hospital, State Key Laboratory of Trauma, Burns and Combined Injury, Army Medical University, Chongqing, China
| | - Yunjing Zeng
- Medical Center of Hematology, Xinqiao Hospital, State Key Laboratory of Trauma, Burns and Combined Injury, Army Medical University, Chongqing, China
| | - Yundi He
- Medical Center of Hematology, Xinqiao Hospital, State Key Laboratory of Trauma, Burns and Combined Injury, Army Medical University, Chongqing, China
| | - Dan Chen
- Medical Center of Hematology, Xinqiao Hospital, State Key Laboratory of Trauma, Burns and Combined Injury, Army Medical University, Chongqing, China
| | - Robert Peter Gale
- Haematology Centre, Department of Immunology and Inflammation, Imperial College London, London, UK
| | - Yunfang Zhang
- Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Xi Zhang
- Medical Center of Hematology, Xinqiao Hospital, State Key Laboratory of Trauma, Burns and Combined Injury, Army Medical University, Chongqing, China.,Jinfeng Laboratory, Chongqing, China
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20
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Cui W, Zhao D, Jiang J, Tang F, Zhang C, Duan C. tRNA Modifications and Modifying Enzymes in Disease, the Potential Therapeutic Targets. Int J Biol Sci 2023; 19:1146-1162. [PMID: 36923941 PMCID: PMC10008702 DOI: 10.7150/ijbs.80233] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 01/26/2023] [Indexed: 03/14/2023] Open
Abstract
tRNA is one of the most conserved and abundant RNA species, which plays a key role during protein translation. tRNA molecules are post-transcriptionally modified by tRNA modifying enzymes. Since high-throughput sequencing technology has developed rapidly, tRNA modification types have been discovered in many research fields. In tRNA, numerous types of tRNA modifications and modifying enzymes have been implicated in biological functions and human diseases. In our review, we talk about the relevant biological functions of tRNA modifications, including tRNA stability, protein translation, cell cycle, oxidative stress, and immunity. We also explore how tRNA modifications contribute to the progression of human diseases. Based on previous studies, we discuss some emerging techniques for assessing tRNA modifications to aid in discovering different types of tRNA modifications.
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Affiliation(s)
- Weifang Cui
- Department of Thoracic Surgery, Xiangya Hospital, Central South University, Xiangya Road 87th, Changsha, 410008, Hunan, PR China.,Hunan Engineering Research Center for Pulmonary Nodules Precise Diagnosis & Treatment, Changsha, 410008, Hunan, PR China
| | - Deze Zhao
- Department of Thoracic Surgery, Xiangya Hospital, Central South University, Xiangya Road 87th, Changsha, 410008, Hunan, PR China.,Hunan Engineering Research Center for Pulmonary Nodules Precise Diagnosis & Treatment, Changsha, 410008, Hunan, PR China
| | - Junjie Jiang
- Department of Thoracic Surgery, Xiangya Hospital, Central South University, Xiangya Road 87th, Changsha, 410008, Hunan, PR China.,Hunan Engineering Research Center for Pulmonary Nodules Precise Diagnosis & Treatment, Changsha, 410008, Hunan, PR China
| | - Faqing Tang
- Hunan Key Laboratory of Oncotarget Gene, Hunan Cancer Hospital & The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha 410008, Hunan, PR China
| | - Chunfang Zhang
- Department of Thoracic Surgery, Xiangya Hospital, Central South University, Xiangya Road 87th, Changsha, 410008, Hunan, PR China.,Hunan Engineering Research Center for Pulmonary Nodules Precise Diagnosis & Treatment, Changsha, 410008, Hunan, PR China
| | - Chaojun Duan
- Department of Thoracic Surgery, Xiangya Hospital, Central South University, Xiangya Road 87th, Changsha, 410008, Hunan, PR China.,Hunan Engineering Research Center for Pulmonary Nodules Precise Diagnosis & Treatment, Changsha, 410008, Hunan, PR China.,National Clinical Research Center for Geriatric Disorders, Changsha, 410008, Hunan, PR China.,Institute of Medical Sciences, Xiangya Lung Cancer Center, Xiangya Hospital, Central South University, Changsha 410008, Hunan, PR China
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21
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Zhang LS, Ju CW, Liu C, Wei J, Dai Q, Chen L, Ye C, He C. m 7G-quant-seq: Quantitative Detection of RNA Internal N7-Methylguanosine. ACS Chem Biol 2022; 17:3306-3312. [PMID: 36398936 PMCID: PMC9764283 DOI: 10.1021/acschembio.2c00792] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Methods for the precise detection and quantification of RNA modifications are critical to uncover functional roles of diverse RNA modifications. The internal m7G modification in mammalian cytoplasmic tRNAs is known to affect tRNA function and impact embryonic stem cell self-renewal, tumorigenesis, cancer progression, and other cellular processes. Here, we introduce m7G-quant-seq, a quantitative method that accurately detects internal m7G sites in human cytoplasmic tRNAs at single-base resolution. The efficient chemical reduction and mild depurination can almost completely convert internal m7G sites into RNA abasic sites (AP sites). We demonstrate that RNA abasic sites induce a mixed variation pattern during reverse transcription, including G → A or C or T mutations as well as deletions. We calculated the total variation ratio to quantify the m7G modification fraction at each methylated site. The calibration curves of all relevant motif contexts allow us to more quantitatively determine the m7G methylation level. We detected internal m7G sites in 22 human cytoplasmic tRNAs from HeLa and HEK293T cells and successfully estimated the corresponding m7G methylation stoichiometry. m7G-quant-seq could be applied to monitor the tRNA m7G methylation level change in diverse biological processes.
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Affiliation(s)
- Li-Sheng Zhang
- Department
of Chemistry, The University of Chicago, Chicago, Illinois 60637, United States,Division
of Life Science, Department of Chemistry, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR 999077, China,
| | - Cheng-Wei Ju
- Pritzker
School of Molecular Engineering, The University
of Chicago, Chicago, Illinois 60637, United
States
| | - Chang Liu
- Department
of Chemistry, The University of Chicago, Chicago, Illinois 60637, United States
| | - Jiangbo Wei
- Department
of Chemistry, The University of Chicago, Chicago, Illinois 60637, United States
| | - Qing Dai
- Department
of Chemistry, The University of Chicago, Chicago, Illinois 60637, United States
| | - Li Chen
- Department
of Chemistry, The University of Chicago, Chicago, Illinois 60637, United States
| | - Chang Ye
- Department
of Chemistry, 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, 4000 Jones Bridge Road, Chevy Chase, Maryland 20815, United States,
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22
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Athanasopoulou K, Daneva GN, Boti MA, Dimitroulis G, Adamopoulos PG, Scorilas A. The Transition from Cancer "omics" to "epi-omics" through Next- and Third-Generation Sequencing. LIFE (BASEL, SWITZERLAND) 2022; 12:life12122010. [PMID: 36556377 PMCID: PMC9785810 DOI: 10.3390/life12122010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 11/25/2022] [Accepted: 11/30/2022] [Indexed: 12/05/2022]
Abstract
Deciphering cancer etiopathogenesis has proven to be an especially challenging task since the mechanisms that drive tumor development and progression are far from simple. An astonishing amount of research has revealed a wide spectrum of defects, including genomic abnormalities, epigenomic alterations, disturbance of gene transcription, as well as post-translational protein modifications, which cooperatively promote carcinogenesis. These findings suggest that the adoption of a multidimensional approach can provide a much more precise and comprehensive picture of the tumor landscape, hence serving as a powerful tool in cancer research and precision oncology. The introduction of next- and third-generation sequencing technologies paved the way for the decoding of genetic information and the elucidation of cancer-related cellular compounds and mechanisms. In the present review, we discuss the current and emerging applications of both generations of sequencing technologies, also referred to as massive parallel sequencing (MPS), in the fields of cancer genomics, transcriptomics and proteomics, as well as in the progressing realms of epi-omics. Finally, we provide a brief insight into the expanding scope of sequencing applications in personalized cancer medicine and pharmacogenomics.
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23
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Lei HT, Wang ZH, Li B, Sun Y, Mei SQ, Yang JH, Qu LH, Zheng LL. tModBase: deciphering the landscape of tRNA modifications and their dynamic changes from epitranscriptome data. Nucleic Acids Res 2022; 51:D315-D327. [PMID: 36408909 PMCID: PMC9825477 DOI: 10.1093/nar/gkac1087] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 10/21/2022] [Accepted: 10/27/2022] [Indexed: 11/22/2022] Open
Abstract
tRNA molecules contain dense, abundant modifications that affect tRNA structure, stability, mRNA decoding and tsRNA formation. tRNA modifications and related enzymes are responsive to environmental cues and are associated with a range of physiological and pathological processes. However, there is a lack of resources that can be used to mine and analyse these dynamically changing tRNA modifications. In this study, we established tModBase (https://www.tmodbase.com/) for deciphering the landscape of tRNA modification profiles from epitranscriptome data. We analysed 103 datasets generated with second- and third-generation sequencing technologies and illustrated the misincorporation and termination signals of tRNA modification sites in ten species. We thus systematically demonstrate the modification profiles across different tissues/cell lines and summarize the characteristics of tRNA-associated human diseases. By integrating transcriptome data from 32 cancers, we developed novel tools for analysing the relationships between tRNA modifications and RNA modification enzymes, the expression of 1442 tRNA-derived small RNAs (tsRNAs), and 654 DNA variations. Our database will provide new insights into the features of tRNA modifications and the biological pathways in which they participate.
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Affiliation(s)
- Hao-Tian Lei
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P.R. China
| | - Zhang-Hao Wang
- Division of Biosciences, University College London, London WC1E 6BT, UK
| | - 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, P.R. China
| | - Yang Sun
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P.R. China
| | - Shi-Qiang Mei
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P.R. China
| | - Jian-Hua Yang
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P.R. China
| | - Liang-Hu Qu
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P.R. China
| | - Ling-Ling Zheng
- To whom correspondence should be addressed. Tel: +86 20 84112399; Fax: +86 20 84036551;
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24
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Dysfunctional tRNA reprogramming and codon-biased translation in cancer. Trends Mol Med 2022; 28:964-978. [PMID: 36241532 PMCID: PMC10071289 DOI: 10.1016/j.molmed.2022.09.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Revised: 08/20/2022] [Accepted: 09/12/2022] [Indexed: 12/17/2022]
Abstract
Many cancers hijack translation to increase the synthesis of tumor-driving proteins, the messenger mRNAs of which have specific codon usage patterns. Termed 'codon-biased translation' and originally identified in stress response regulation, this mechanism is supported by diverse studies demonstrating how the 50 RNA modifications of the epitranscriptome, specific tRNAs, and codon-biased mRNAs are used by oncogenic programs to promote proliferation and chemoresistance. The epitranscriptome writers METTL1-WDR4, Elongator complex protein (ELP)1-6, CTU1-2, and ALKBH8-TRM112 illustrate the principal mechanism of codon-biased translation, with gene amplifications, increased RNA modifications, and enhanced tRNA stability promoting cancer proliferation. Furthermore, systems-level analyses of 34 tRNA writers and 493 tRNA genes highlight the theme of tRNA epitranscriptome dysregulation in many cancers and identify candidate tRNA writers, tRNA modifications, and tRNA molecules as drivers of pathological codon-biased translation.
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25
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Zheng M, Lin Y, Wang W, Zhao Y, Bao X. Application of nucleoside or nucleotide analogues in RNA dynamics and RNA-binding protein analysis. WILEY INTERDISCIPLINARY REVIEWS. RNA 2022; 13:e1722. [PMID: 35218164 DOI: 10.1002/wrna.1722] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 01/07/2022] [Accepted: 01/26/2022] [Indexed: 06/14/2023]
Abstract
Cellular RNAs undergo dynamic changes during RNA biological processes, which are tightly orchestrated by RNA-binding proteins (RBPs). Yet, the investigation of RNA dynamics is hurdled by highly abundant steady-state RNAs, which make the signals of dynamic RNAs less detectable. Notably, the exert of nucleoside or nucleotide analogue-based RNA technologies has provided a remarkable platform for RNA dynamics research, revealing diverse unnoticed features in RNA metabolism. In this review, we focus on the application of two types of analogue-based RNA sequencing, antigen-/antibody- and click chemistry-based methodologies, and summarize the RNA dynamics features revealed. Moreover, we discuss emerging single-cell newly transcribed RNA sequencing methodologies based on nucleoside analogue labeling, which provides novel insights into RNA dynamics regulation at single-cell resolution. On the other hand, we also emphasize the identification of RBPs that interact with polyA, non-polyA RNAs, or newly transcribed RNAs and also their associated RNA-binding domains at genomewide level through ultraviolet crosslinking and mass spectrometry in different contexts. We anticipated that further modification and development of these analogue-based RNA and RBP capture technologies will aid in obtaining an unprecedented understanding of RNA biology. This article is categorized under: RNA Interactions with Proteins and Other Molecules > Protein-RNA Recognition RNA Structure and Dynamics > RNA Structure, Dynamics and Chemistry RNA Methods > RNA Analyses in Cells.
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Affiliation(s)
- Meifeng Zheng
- Center for Cell Lineage and Development, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, GIBH-HKU Guangdong-Hong Kong Stem Cell and Regenerative Medicine Research Centre, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yingying Lin
- Center for Cell Lineage and Development, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, GIBH-HKU Guangdong-Hong Kong Stem Cell and Regenerative Medicine Research Centre, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- The Center for Infection and Immunity Study, School of Medicine, Sun Yat-sen University, Guangming Science City, Shenzhen, China
| | - Wei Wang
- Center for Biosafety, Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, China
| | - Yu Zhao
- Molecular Cancer Research Center, School of Medicine, Sun Yat-sen University, Shenzhen, China
| | - Xichen Bao
- Center for Cell Lineage and Development, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, GIBH-HKU Guangdong-Hong Kong Stem Cell and Regenerative Medicine Research Centre, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
- Center for Cell Lineage and Atlas, Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, China
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26
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Xu D, Qiao D, Lei Y, Zhang C, Bu Y, Zhang Y. Transfer RNA-derived small RNAs (tsRNAs): Versatile regulators in cancer. Cancer Lett 2022; 546:215842. [PMID: 35964819 DOI: 10.1016/j.canlet.2022.215842] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 07/20/2022] [Accepted: 07/22/2022] [Indexed: 11/02/2022]
Abstract
tRNA-derived small RNAs (tsRNAs) represent a novel class of regulatory small non-coding RNAs (sncRNAs), produced by the specific cleavage of transfer RNAs (tRNAs). In recent years, pilot studies one after the other have uncovered the critical roles of tsRNAs in various fundamental biological processes as well as in the development of human diseases including cancer. Based on the newly updated hallmarks of cancer, we provide a comprehensive review regarding the dysregulation, functional implications and complicated molecular mechanisms of tsRNAs in cancer. In addition, the potential technical challenges and future prospects in the fields of tsRNA research are discussed in this review.
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Affiliation(s)
- Dandan Xu
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Chongqing Medical University, Chongqing, 400016, China; Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing, 400016, China
| | - Deqian Qiao
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Chongqing Medical University, Chongqing, 400016, China; Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing, 400016, China
| | - Yunlong Lei
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Chongqing Medical University, Chongqing, 400016, China; Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing, 400016, China
| | - Chundong Zhang
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Chongqing Medical University, Chongqing, 400016, China; Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing, 400016, China
| | - Youquan Bu
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Chongqing Medical University, Chongqing, 400016, China; Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing, 400016, China.
| | - Ying Zhang
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Chongqing Medical University, Chongqing, 400016, China; Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing, 400016, China.
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27
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Chu X, He C, Sang B, Yang C, Yin C, Ji M, Qian A, Tian Y. Transfer RNAs-derived small RNAs and their application potential in multiple diseases. Front Cell Dev Biol 2022; 10:954431. [PMID: 36072340 PMCID: PMC9441921 DOI: 10.3389/fcell.2022.954431] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 07/11/2022] [Indexed: 11/17/2022] Open
Abstract
The role of tRNAs is best known as adapter components of translational machinery. According to the central dogma of molecular biology, DNA is transcribed to RNA and in turn is translated into proteins, in which tRNA outstands by its role of the cellular courier. Recent studies have led to the revision of the canonical function of transfer RNAs (tRNAs), which indicates that tRNAs also serve as a source for short non-coding RNAs called tRNA-derived small RNAs (tsRNAs). tsRNAs play key roles in cellular processes by modulating complicated regulatory networks beyond translation and are widely involved in multiple diseases. Herein, the biogenesis and classification of tsRNAs were firstly clarified. tsRNAs are generated from pre-tRNAs or mature tRNAs and are classified into tRNA-derived fragments (tRFs) and tRNA halves (tiRNA). The tRFs include five types according to the incision loci: tRF-1, tRF-2, tRF-3, tRF-5 and i-tRF which contain 3′ tiRNA and 5′ tiRNA. The functions of tsRNAs and their regulation mechanisms involved in disease processes are systematically summarized as well. The mechanisms can elaborate on the specific regulation of tsRNAs. In conclusion, the current research suggests that tsRNAs are promising targets for modulating pathological processes, such as breast cancer, ischemic stroke, respiratory syncytial virus, osteoporosis and so on, and maintain vital clinical implications in diagnosis and therapeutics of various diseases.
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Affiliation(s)
- Xiaohua Chu
- Lab for Bone Metabolism, Xi’an Key Laboratory of Special Medicine and Health Engineering, Key Lab for Space Biosciences and Biotechnology, Research Center for Special Medicine and Health Systems Engineering, NPU-UAB Joint Laboratory for Bone Metabolism, School of Life Sciences, Northwestern Polytechnical University, Xi’an, SN, China
| | - Chenyang He
- Department of Oncology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Bo Sang
- Lab for Bone Metabolism, Xi’an Key Laboratory of Special Medicine and Health Engineering, Key Lab for Space Biosciences and Biotechnology, Research Center for Special Medicine and Health Systems Engineering, NPU-UAB Joint Laboratory for Bone Metabolism, School of Life Sciences, Northwestern Polytechnical University, Xi’an, SN, China
| | - Chaofei Yang
- Lab for Bone Metabolism, Xi’an Key Laboratory of Special Medicine and Health Engineering, Key Lab for Space Biosciences and Biotechnology, Research Center for Special Medicine and Health Systems Engineering, NPU-UAB Joint Laboratory for Bone Metabolism, School of Life Sciences, Northwestern Polytechnical University, Xi’an, SN, China
| | - Chong Yin
- Department of Clinical Laboratory, Academician (expert) Workstation, Lab of Epigenetics and RNA Therapy, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Mili Ji
- Lab for Bone Metabolism, Xi’an Key Laboratory of Special Medicine and Health Engineering, Key Lab for Space Biosciences and Biotechnology, Research Center for Special Medicine and Health Systems Engineering, NPU-UAB Joint Laboratory for Bone Metabolism, School of Life Sciences, Northwestern Polytechnical University, Xi’an, SN, China
| | - Airong Qian
- Lab for Bone Metabolism, Xi’an Key Laboratory of Special Medicine and Health Engineering, Key Lab for Space Biosciences and Biotechnology, Research Center for Special Medicine and Health Systems Engineering, NPU-UAB Joint Laboratory for Bone Metabolism, School of Life Sciences, Northwestern Polytechnical University, Xi’an, SN, China
- *Correspondence: Airong Qian, ; Ye Tian,
| | - Ye Tian
- Lab for Bone Metabolism, Xi’an Key Laboratory of Special Medicine and Health Engineering, Key Lab for Space Biosciences and Biotechnology, Research Center for Special Medicine and Health Systems Engineering, NPU-UAB Joint Laboratory for Bone Metabolism, School of Life Sciences, Northwestern Polytechnical University, Xi’an, SN, China
- *Correspondence: Airong Qian, ; Ye Tian,
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28
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Dong J, Wang H, Zhang Z, Yang L, Qian X, Qian W, Han Y, Huang H, Qian P. Small but strong: Pivotal roles and potential applications of snoRNAs in hematopoietic malignancies. Front Oncol 2022; 12:939465. [PMID: 36033520 PMCID: PMC9413531 DOI: 10.3389/fonc.2022.939465] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 07/18/2022] [Indexed: 11/13/2022] Open
Abstract
Small nucleolar RNAs (snoRNAs) belong to a family of noncoding RNAs that are 60-300 nucleotides in length, and they are classified into two classes according to their structure and function: C/D box snoRNAs, playing an essential role in 2’-O-methylation modification on ribosomal RNA; H/ACA box snoRNAs, involved in the pseudouridylation of rRNA. SnoRNAs with unclear functions, no predictable targets, and unusual subcellular locations are called orphan snoRNAs. Recent studies have revealed abnormal expression and demonstrated the pivotal roles of snoRNAs and their host genes in various types of hematological malignancies. This review discusses recent discoveries concerning snoRNAs in a variety of hematological malignancies, including multiple myeloma, lymphoma and leukemia, and sheds light on the application of snoRNAs as diagnostic and prognostic markers as well as therapeutic targets of hematological malignancies in the future.
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Affiliation(s)
- Jian Dong
- Center of Stem Cell and Regenerative Medicine, and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Institute of Hematology, Zhejiang University & Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Hui Wang
- Center of Stem Cell and Regenerative Medicine, and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Institute of Hematology, Zhejiang University & Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Zhaoru Zhang
- Center of Stem Cell and Regenerative Medicine, and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Institute of Hematology, Zhejiang University & Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Lin Yang
- Center of Stem Cell and Regenerative Medicine, and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Institute of Hematology, Zhejiang University & Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Xinyue Qian
- Center of Stem Cell and Regenerative Medicine, and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Institute of Hematology, Zhejiang University & Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Wenchang Qian
- Center of Stem Cell and Regenerative Medicine, and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Institute of Hematology, Zhejiang University & Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - Yingli Han
- Center of Stem Cell and Regenerative Medicine, and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Institute of Hematology, Zhejiang University & Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
| | - He Huang
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Institute of Hematology, Zhejiang University & Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
- Bone Marrow Transplantation Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- *Correspondence: Pengxu Qian, ; He Huang,
| | - Pengxu Qian
- Center of Stem Cell and Regenerative Medicine, and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Institute of Hematology, Zhejiang University & Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Hangzhou, China
- *Correspondence: Pengxu Qian, ; He Huang,
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29
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The Aminoacyl-tRNA Synthetase and tRNA Expression Levels Are Deregulated in Cancer and Correlate Independently with Patient Survival. Curr Issues Mol Biol 2022; 44:3001-3017. [PMID: 35877431 PMCID: PMC9324904 DOI: 10.3390/cimb44070207] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 06/20/2022] [Accepted: 06/24/2022] [Indexed: 11/25/2022] Open
Abstract
Aminoacyl-tRNA synthetases (ARSs) are essential enzymes that load amino acids to their cognate tRNA molecules. The expression of certain ARSs and tRNAs has been shown to be deregulated in cancer, presumably to accommodate elevated protein synthesis requirements. In this work, the expression of cytoplasmic ARSs and tRNAs in ten TCGA cancers has been systematically examined. ARSs were found to be mostly upregulated in tumours and their upregulation often correlated with worse patient survival. tRNAs were found to be either upregulated or downregulated in tumours and their expression sometimes correlated to worse survival outcomes. However, although the expression of most ARSs and tRNAs was deregulated in tumours when compared to healthy adjacent tissues, only in a few cases, and independently, did it correlate to patient survival. These data point to the general uncoupling of concomitant ARS and tRNA expression deregulation and patient survival, highlighting the different ARS and tRNA requirements in cancers.
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30
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Small noncoding RNAs play superior roles in maintaining hematopoietic stem cell homeostasis. BLOOD SCIENCE 2022; 4:125-132. [DOI: 10.1097/bs9.0000000000000123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 05/31/2022] [Indexed: 11/25/2022] Open
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31
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Murillo-Recio M, Martínez de Lejarza Samper IM, Tuñí I Domínguez C, Ribas de Pouplana L, Torres AG. tRNAstudio: facilitating the study of human mature tRNAs from deep sequencing datasets. Bioinformatics 2022; 38:2934-2936. [PMID: 35561195 DOI: 10.1093/bioinformatics/btac198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 03/17/2022] [Accepted: 04/06/2022] [Indexed: 11/14/2022] Open
Abstract
SUMMARY High-throughput sequencing of transfer RNAs (tRNA-Seq) is a powerful approach to characterize the cellular tRNA pool. Currently, however, analyzing tRNA-Seq datasets requires strong bioinformatics and programming skills. tRNAstudio facilitates the analysis of tRNA-Seq datasets and extracts information on tRNA gene expression, post-transcriptional tRNA modification levels, and tRNA processing steps. Users need only running a few simple bash commands to activate a graphical user interface that allows the easy processing of tRNA-Seq datasets in local mode. Output files include extensive graphical representations and associated numerical tables, and an interactive html summary report to help interpret the data. We have validated tRNAstudio using datasets generated by different experimental methods and derived from human cell lines and tissues that present distinct patterns of tRNA expression, modification and processing. AVAILABILITY AND IMPLEMENTATION Freely available at https://github.com/GeneTranslationLab-IRB/tRNAstudio under an open-source GNU GPL v3.0 license. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Marina Murillo-Recio
- Institute for Research in Biomedicine, The Barcelona Institute of Science and Technology, Barcelona, Catalonia 08028, Spain
| | | | - Cristina Tuñí I Domínguez
- Institute for Research in Biomedicine, The Barcelona Institute of Science and Technology, Barcelona, Catalonia 08028, Spain
| | - Lluís Ribas de Pouplana
- Institute for Research in Biomedicine, The Barcelona Institute of Science and Technology, Barcelona, Catalonia 08028, Spain
- Catalan Institution for Research and Advanced Studies, Barcelona, Catalonia 08010, Spain
| | - Adrian Gabriel Torres
- Institute for Research in Biomedicine, The Barcelona Institute of Science and Technology, Barcelona, Catalonia 08028, Spain
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32
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Richter F, Plehn JE, Bessler L, Hertler J, Jörg M, Cirzi C, Tuorto F, Friedland K, Helm M. RNA marker modifications reveal the necessity for rigorous preparation protocols to avoid artifacts in epitranscriptomic analysis. Nucleic Acids Res 2022; 50:4201-4215. [PMID: 34850949 PMCID: PMC9071408 DOI: 10.1093/nar/gkab1150] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 10/31/2021] [Accepted: 11/03/2021] [Indexed: 12/16/2022] Open
Abstract
The accurate definition of an epitranscriptome is endangered by artefacts resulting from RNA degradation after cell death, a ubiquitous yet little investigated process. By tracing RNA marker modifications through tissue preparation protocols, we identified a major blind spot from daily lab routine, that has massive impact on modification analysis in small RNAs. In particular, m6,6A and Am as co-varying rRNA marker modifications, appeared in small RNA fractions following rRNA degradation in vitro and in cellulo. Analysing mouse tissue at different time points post mortem, we tracked the progress of intracellular RNA degradation after cell death, and found it reflected in RNA modification patterns. Differences were dramatic between liver, where RNA degradation commenced immediately after death, and brain, yielding essentially undamaged RNA. RNA integrity correlated with low amounts of co-varying rRNA markers. Thus validated RNA preparations featured differentially modified tRNA populations whose information content allowed a distinction even among the related brain tissues cortex, cerebellum and hippocampus. Inversely, advanced cell death correlated with high rRNA marker content, and correspondingly little with the naïve state of living tissue. Therefore, unless RNA and tissue preparations are executed with utmost care, interpretation of modification patterns in tRNA and small RNA are prone to artefacts.
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Affiliation(s)
- Florian Richter
- Institute of Pharmaceutical and Biomedical Sciences, Johannes Gutenberg-University Mainz, Staudingerweg 5 55128 Mainz, Germany
| | - Johanna E Plehn
- Institute of Pharmaceutical and Biomedical Sciences, Johannes Gutenberg-University Mainz, Staudingerweg 5 55128 Mainz, Germany
| | - Larissa Bessler
- Institute of Pharmaceutical and Biomedical Sciences, Johannes Gutenberg-University Mainz, Staudingerweg 5 55128 Mainz, Germany
| | - Jasmin Hertler
- Institute of Pharmaceutical and Biomedical Sciences, Johannes Gutenberg-University Mainz, Staudingerweg 5 55128 Mainz, Germany
| | - Marko Jörg
- Institute of Pharmaceutical and Biomedical Sciences, Johannes Gutenberg-University Mainz, Staudingerweg 5 55128 Mainz, Germany
| | - Cansu Cirzi
- Division of Epigenetics, DKFZ-ZMBH Alliance, German Cancer Research Center (DKFZ) 69120 Heidelberg, Germany
- Faculty of Biosciences, University of Heidelberg 69120 Heidelberg, Germany
| | - Francesca Tuorto
- Division of Biochemistry, Mannheim Institute for Innate Immunoscience (MI3), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Center for Molecular Biology of Heidelberg University (ZMBH), DKFZ-ZMBH Alliance69120 Heidelberg, Germany
| | - Kristina Friedland
- Institute of Pharmaceutical and Biomedical Sciences, Johannes Gutenberg-University Mainz, Staudingerweg 5 55128 Mainz, Germany
| | - Mark Helm
- Institute of Pharmaceutical and Biomedical Sciences, Johannes Gutenberg-University Mainz, Staudingerweg 5 55128 Mainz, Germany
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33
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Watkins CP, Zhang W, Wylder AC, Katanski CD, Pan T. A multiplex platform for small RNA sequencing elucidates multifaceted tRNA stress response and translational regulation. Nat Commun 2022; 13:2491. [PMID: 35513407 PMCID: PMC9072684 DOI: 10.1038/s41467-022-30261-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 04/11/2022] [Indexed: 12/31/2022] Open
Abstract
Small RNAs include tRNA, snRNA, micro-RNA, tRNA fragments and others that constitute > 90% of RNA copy numbers in a human cell and perform many essential functions. Popular small RNA-seq strategies limit the insights into coordinated small RNA response to cellular stress. Small RNA-seq also lacks multiplexing capabilities. Here, we report a multiplex small RNA-seq library preparation method (MSR-seq) to investigate cellular small RNA and mRNA response to heat shock, hydrogen peroxide, and arsenite stress. Comparing stress-induced changes of total cellular RNA and polysome-associated RNA, we identify a coordinated tRNA response that involves polysome-specific tRNA abundance and synergistic N3-methylcytosine (m3C) tRNA modification. Combining tRNA and mRNA response to stress we reveal a mechanism of stress-induced down-regulation in translational elongation. We also find that native tRNA molecules lacking several modifications are biased reservoirs for the biogenesis of tRNA fragments. Our results demonstrate the importance of simultaneous investigation of small RNAs and their modifications in response to varying biological conditions.
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Affiliation(s)
- Christopher P. Watkins
- grid.170205.10000 0004 1936 7822Department of Biochemistry and Molecular Biology, Chicago, IL 60637 USA
| | - Wen Zhang
- grid.170205.10000 0004 1936 7822Department of Chemistry, University of Chicago, Chicago, IL 60637 USA
| | - Adam C. Wylder
- grid.170205.10000 0004 1936 7822Department of Molecular Genetics and Cell Biology, University of Chicago, Chicago, IL 60637 USA
| | - Christopher D. Katanski
- grid.170205.10000 0004 1936 7822Department of Biochemistry and Molecular Biology, Chicago, IL 60637 USA
| | - Tao Pan
- grid.170205.10000 0004 1936 7822Department of Biochemistry and Molecular Biology, Chicago, IL 60637 USA
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34
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Lee AK, Aifantis I, Thandapani P. Emerging roles for tRNAs in hematopoiesis and hematological malignancies. Trends Immunol 2022; 43:466-477. [PMID: 35490133 DOI: 10.1016/j.it.2022.03.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 03/30/2022] [Accepted: 03/31/2022] [Indexed: 11/26/2022]
Abstract
tRNAs are central players in decoding the genetic code linking codons in mRNAs with cognate amino acids during protein synthesis. Recent discoveries have placed tRNAs as key regulators of gene expression during hematopoiesis, especially in hematopoietic stem cell (HSC) maintenance and immune development. These functions have been shown to be influenced by dynamic changes in tRNA expression, post-transcriptional base modifications, tRNA-interacting proteins, and tRNA fragmentation; these events underlie the complexity of tRNA-mediated regulatory events in hematopoiesis. In this review, we discuss these recent findings and highlight how deregulation of tRNA biogenesis can contribute to hematological malignancies.
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Affiliation(s)
- Anna K Lee
- Department of Pathology and Laura and Isaac Perlmutter Cancer Center, NYU School of Medicine, New York, NY 10016, USA
| | - Iannis Aifantis
- Department of Pathology and Laura and Isaac Perlmutter Cancer Center, NYU School of Medicine, New York, NY 10016, USA.
| | - Palaniraja Thandapani
- Department of Pathology and Laura and Isaac Perlmutter Cancer Center, NYU School of Medicine, New York, NY 10016, USA.
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35
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Shi J, Zhou T, Chen Q. Exploring the expanding universe of small RNAs. Nat Cell Biol 2022; 24:415-423. [PMID: 35414016 DOI: 10.1038/s41556-022-00880-5] [Citation(s) in RCA: 60] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 03/02/2022] [Indexed: 12/11/2022]
Abstract
The world of small noncoding RNAs (sncRNAs) is ever-expanding, from small interfering RNA, microRNA and Piwi-interacting RNA to the recently emerging non-canonical sncRNAs derived from longer structured RNAs (for example, transfer, ribosomal, Y, small nucleolar, small nuclear and vault RNAs), showing distinct biogenesis and functional principles. Here we discuss recent tools for sncRNA identification, caveats in sncRNA expression analysis and emerging methods for direct sequencing of sncRNAs and systematic mapping of RNA modifications that are integral to their function.
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Affiliation(s)
- Junchao Shi
- Division of Biomedical Sciences, School of Medicine, University of California, Riverside, CA, USA
| | - Tong Zhou
- Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, NV, USA.
| | - Qi Chen
- Division of Biomedical Sciences, School of Medicine, University of California, Riverside, CA, USA.
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36
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Zhang W, Foo M, Eren AM, Pan T. tRNA modification dynamics from individual organisms to metaepitranscriptomics of microbiomes. Mol Cell 2022; 82:891-906. [PMID: 35032425 PMCID: PMC8897278 DOI: 10.1016/j.molcel.2021.12.007] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 12/08/2021] [Accepted: 12/09/2021] [Indexed: 12/17/2022]
Abstract
tRNA is the most extensively modified RNA in cells. On average, a bacterial tRNA contains 8 modifications per molecule and a eukaryotic tRNA contains 13 modifications per molecule. Recent studies reveal that tRNA modifications are highly dynamic and respond extensively to environmental conditions. Functions of tRNA modification dynamics include enhanced, on-demand decoding of specific codons in response genes and regulation of tRNA fragment biogenesis. This review summarizes recent advances in the studies of tRNA modification dynamics in biological processes, tRNA modification erasers, and human-associated bacteria. Furthermore, we use the term "metaepitranscriptomics" to describe the potential and approach of tRNA modification studies in natural biological communities such as microbiomes. tRNA is highly modified in cells, and tRNA modifications respond extensively to environmental conditions to enhance translation of specific genes and produce tRNA fragments on demand. We review recent advances in tRNA sequencing methods, tRNA modification dynamics in biological processes, and tRNA modification studies in natural communities such as the microbiomes.
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Affiliation(s)
- Wen Zhang
- Department of Biochemistry & Molecular Biology, University of Chicago, Chicago, IL 60637, USA
| | - Marcus Foo
- Committee on Microbiology, University of Chicago, Chicago, IL 60637, USA
| | - A. Murat Eren
- Committee on Microbiology, University of Chicago, Chicago, IL 60637, USA;,Department of Medicine, University of Chicago, Chicago, IL 60637, USA;,Josephine Bay Paul Center for Comparative Molecular Biology and Evolution, Marine Biological Laboratory, Woods Hole, MA, 02543, USA
| | - Tao Pan
- Department of Biochemistry & Molecular Biology, University of Chicago, Chicago, IL 60637, USA; Committee on Microbiology, University of Chicago, Chicago, IL 60637, USA.
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37
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Li X, Peng J, Yi C. The epitranscriptome of small non-coding RNAs. Noncoding RNA Res 2021; 6:167-173. [PMID: 34820590 PMCID: PMC8581453 DOI: 10.1016/j.ncrna.2021.10.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 10/14/2021] [Accepted: 10/20/2021] [Indexed: 02/06/2023] Open
Abstract
Small non-coding RNAs are short RNA molecules and involved in many biological processes, including cell proliferation and differentiation, immune response, cell death, epigenetic regulation, metabolic control. A diversity of RNA modifications have been identified in these small non-coding RNAs, including transfer RNAs (tRNAs), microRNAs (miRNAs), PIWI-interacting RNAs (piRNAs), small nuclear RNA (snRNA), small nucleolar RNAs (snoRNAs), and tRNA-derived small RNAs (tsRNAs). These post-transcriptional modifications are involved in the biogenesis and function of these small non-coding RNAs. In this review, we will summarize the existence of RNA modifications in the small non-coding RNAs and the emerging roles of these epitranscriptomic marks.
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Affiliation(s)
- Xiaoyu Li
- Department of Biochemistry and Department of Gastroenterology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China.,State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, 100871, China
| | - Jinying Peng
- State Key Laboratory of Protein and Plant Gene Research, School of 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.,Academy for Advanced Interdisciplinary Studies, 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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38
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Chen L, Xu W, Liu K, Jiang Z, Han Y, Jin H, Zhang L, Shen W, Jia S, Sun Q, Meng A. 5' Half of specific tRNAs feeds back to promote corresponding tRNA gene transcription in vertebrate embryos. SCIENCE ADVANCES 2021; 7:eabh0494. [PMID: 34797706 PMCID: PMC8604414 DOI: 10.1126/sciadv.abh0494] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
5′tRFls are small transfer RNA (tRNA) fragments derived from 5′ half of mature tRNAs. However, it is unknown whether 5′tRFls could feed back to regulate tRNA biogenesis. Here, we show that 5′tRFlGly/GCC and 5′tRFlGlu/CTC function to promote transcription of corresponding tRNA genes and are essential for vertebrate early embryogenesis. During zebrafish embryogenesis, dynamics of 5′tRFlGly/GCC and 5′tRFlGlu/CTC levels correlates with that of tRNAGly/GCC and tRNAGlu/CTC levels. Morpholino-mediated knockdown of 5′tRFlGly/GCC or 5′tRFlGlu/CTC down-regulates tRNAGly/GCC or tRNAGlu/CTC levels, respectively, and causes embryonic lethality that is efficiently rescued by coinjection of properly refolded corresponding tRNA. In zebrafish embryos, tRNA:DNA and 5′tRFl:DNA hybrids commonly exist on the template strand of tRNA genes. Mechanistically, unstable 5′tRFl:DNA hybrid may prevent the formation of transcriptionally inhibitory stable tRNA:DNA hybrids on the same tRNA loci so as to facilitate tRNA gene transcription. The uncovered mechanism may be implicated in other physiological and pathological processes.
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Affiliation(s)
- Luxi Chen
- Laboratory of Molecular Developmental Biology, State Key Laboratory of Membrane Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China
- Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing 100084, China
| | - Wei Xu
- Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing 100084, China
- The Center for Plant Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Kunpeng Liu
- Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing 100084, China
- The Center for Plant Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Zheng Jiang
- Laboratory of Molecular Developmental Biology, State Key Laboratory of Membrane Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China
- Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing 100084, China
| | - Yang Han
- Laboratory of Molecular Developmental Biology, State Key Laboratory of Membrane Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China
- Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing 100084, China
| | - Hongbin Jin
- Laboratory of Molecular Developmental Biology, State Key Laboratory of Membrane Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China
- Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing 100084, China
| | - Lin Zhang
- Laboratory of Molecular Developmental Biology, State Key Laboratory of Membrane Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China
- Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing 100084, China
| | - Weimin Shen
- Laboratory of Molecular Developmental Biology, State Key Laboratory of Membrane Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China
- Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing 100084, China
| | - Shunji Jia
- Laboratory of Molecular Developmental Biology, State Key Laboratory of Membrane Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China
- Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing 100084, China
| | - Qianwen Sun
- Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing 100084, China
- The Center for Plant Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Anming Meng
- Laboratory of Molecular Developmental Biology, State Key Laboratory of Membrane Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China
- Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing 100084, China
- Guangzhou Laboratory, Guangzhou 510320, Guangdong Province, China
- Corresponding author.
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39
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Ma X, Liu C, Cao X. Plant transfer RNA-derived fragments: Biogenesis and functions. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2021; 63:1399-1409. [PMID: 34114725 DOI: 10.1111/jipb.13143] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 06/10/2021] [Indexed: 06/12/2023]
Abstract
Processing of mature transfer RNAs (tRNAs) produces complex populations of tRNA-derived fragments (tRFs). Emerging evidence shows that tRFs have important functions in bacteria, animals, and plants. Here, we review recent advances in understanding plant tRFs, focusing on their biological and cellular functions, such as regulating stress responses, mediating plant-pathogen interactions, and modulating post-transcriptional gene silencing and translation. We also review sequencing strategies and bioinformatics resources for studying tRFs in plants. Finally, we discuss future directions for plant tRF research, which will expand our knowledge of plant non-coding RNAs.
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Affiliation(s)
- Xuan Ma
- Tianjin Key Laboratory of Animal and Plant Resistance, College of Life Sciences, Tianjin Normal University, Tianjin, 300387, China
| | - Chunyan Liu
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, the Chinese Academy of Sciences, Beijing, 100101, China
| | - Xiaofeng Cao
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, the Chinese Academy of Sciences, Beijing, 100101, China
- CAS Center for Excellence in Molecular Plant Sciences, the Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
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40
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Zhang X, Ping P, Hutvagner G, Blumenstein M, Li J. Aberration-corrected ultrafine analysis of miRNA reads at single-base resolution: a k-mer lattice approach. Nucleic Acids Res 2021; 49:e106. [PMID: 34291293 PMCID: PMC8631080 DOI: 10.1093/nar/gkab610] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 07/01/2021] [Accepted: 07/06/2021] [Indexed: 12/21/2022] Open
Abstract
Raw sequencing reads of miRNAs contain machine-made substitution errors, or even insertions and deletions (indels). Although the error rate can be low at 0.1%, precise rectification of these errors is critically important because isoform variation analysis at single-base resolution such as novel isomiR discovery, editing events understanding, differential expression analysis, or tissue-specific isoform identification is very sensitive to base positions and copy counts of the reads. Existing error correction methods do not work for miRNA sequencing data attributed to miRNAs’ length and per-read-coverage properties distinct from DNA or mRNA sequencing reads. We present a novel lattice structure combining kmers, (k – 1)mers and (k + 1)mers to address this problem. The method is particularly effective for the correction of indel errors. Extensive tests on datasets having known ground truth of errors demonstrate that the method is able to remove almost all of the errors, without introducing any new error, to improve the data quality from every-50-reads containing one error to every-1300-reads containing one error. Studies on experimental miRNA sequencing datasets show that the errors are often rectified at the 5′ ends and the seed regions of the reads, and that there are remarkable changes after the correction in miRNA isoform abundance, volume of singleton reads, overall entropy, isomiR families, tissue-specific miRNAs, and rare-miRNA quantities.
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Affiliation(s)
- Xuan Zhang
- Data Science Institute, University of Technology Sydney, PO Box 123, Broadway, NSW 2007, Australia
| | - Pengyao Ping
- Data Science Institute, University of Technology Sydney, PO Box 123, Broadway, NSW 2007, Australia
| | - Gyorgy Hutvagner
- School of Biomedical Engineering, Faculty of Engineering and IT, University of Technology Sydney, PO Box 123, Broadway, NSW 2007, Australia
| | - Michael Blumenstein
- Faculty of Engineering and IT, University of Technology Sydney, PO Box 123, Broadway, NSW 2007, Australia
| | - Jinyan Li
- To whom correspondence should be addressed. Tel: +61 295149264; Fax: +61 295149264;
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