1
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Li B, Li T, Wang D, Yang Y, Tan P, Wang Y, Yang YG, Jia S, Au KF. Zygotic activation of transposable elements during zebrafish early embryogenesis. Nat Commun 2025; 16:3692. [PMID: 40246845 PMCID: PMC12006353 DOI: 10.1038/s41467-025-58863-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 03/31/2025] [Indexed: 04/19/2025] Open
Abstract
Although previous studies have shown that transposable elements (TEs) are conservatively activated to play key roles during early embryonic development, the details of zygotic TE activation (ZTA) remain poorly understood. Here, we employ long-read sequencing to precisely identify that only a small subset of TE loci are activated among numerous copies, allowing us to map their hierarchical transcriptional cascades at the single-locus and single-transcript level. Despite the heterogeneity of ZTA across family, subfamily, locus, and transcript levels, our findings reveal that ZTA follows a markedly different pattern from conventional zygotic gene activation (ZGA): ZTA occurs significantly later than ZGA and shows a pronounced bias for nuclear localization of TE transcripts. This study advances our understanding of TE activation by providing a high-resolution view of TE copies and creating a comprehensive catalog of thousands of previously unannotated transcripts and genes that are activated during early zebrafish embryogenesis. Among these genes, we highlight two that are essential for zebrafish development.
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Affiliation(s)
- Bo Li
- Gilbert S. Omenn Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
| | - Ting Li
- School of Life Sciences, Fudan University, Shanghai, China
| | - Dingjie Wang
- Gilbert S. Omenn Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
| | - Ying Yang
- China National Center for Bioinformation, Beijing, China
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Puwen Tan
- Gilbert S. Omenn Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Yunhao Wang
- Gilbert S. Omenn Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
| | - Yun-Gui Yang
- China National Center for Bioinformation, Beijing, China.
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
| | - Shunji Jia
- Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.
| | - Kin Fai Au
- Gilbert S. Omenn Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA.
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2
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Biayna J, Dumbović G. Decoding subcellular RNA localization one molecule at a time. Genome Biol 2025; 26:45. [PMID: 40033325 PMCID: PMC11874642 DOI: 10.1186/s13059-025-03507-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2024] [Accepted: 02/13/2025] [Indexed: 03/05/2025] Open
Abstract
Eukaryotic cells are highly structured and composed of multiple membrane-bound and membraneless organelles. Subcellular RNA localization is a critical regulator of RNA function, influencing various biological processes. At any given moment, RNAs must accurately navigate the three-dimensional subcellular environment to ensure proper localization and function, governed by numerous factors, including splicing, RNA stability, modifications, and localizing sequences. Aberrant RNA localization can contribute to the development of numerous diseases. Here, we explore diverse RNA localization mechanisms and summarize advancements in methods for determining subcellular RNA localization, highlighting imaging techniques transforming our ability to study RNA dynamics at the single-molecule level.
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Affiliation(s)
- Josep Biayna
- Goethe University Frankfurt, Center for Molecular Medicine, Institute for Cardiovascular Regeneration, Frankfurt, Germany
| | - Gabrijela Dumbović
- Goethe University Frankfurt, Center for Molecular Medicine, Institute for Cardiovascular Regeneration, Frankfurt, Germany.
- Cardio-Pulmonary Institute (CPI), Goethe University, Frankfurt, Frankfurt, Germany.
- German Center of Cardiovascular Research (DZHK), Partner Site Rhein/Main, Frankfurt, Germany.
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3
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Ranjan G, Scaria V, Sivasubbu S. Syntenic lncRNA locus exhibits DNA regulatory functions with sequence evolution. Gene 2025; 933:148988. [PMID: 39378975 DOI: 10.1016/j.gene.2024.148988] [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: 04/17/2024] [Revised: 07/12/2024] [Accepted: 10/04/2024] [Indexed: 10/10/2024]
Abstract
Syntenic long non-coding RNAs (lncRNAs) often show limited sequence conservation across species, prompting concern in the field. This study delves into functional signatures of syntenic lncRNAs between humans and zebrafish. Syntenic lncRNAs are highly expressed in zebrafish, with ∼90 % located near protein-coding genes, either in sense or antisense orientation. During early zebrafish development and in human embryonic stem cells (H1-hESC), syntenic lncRNA loci are enriched with cis-regulatory repressor signatures, influencing the expression of development-associated genes. In later zebrafish developmental stages and specific human cell lines, these syntenic lncRNA loci function as enhancers or transcription start sites (TSS) for protein-coding genes. Analysis of transposable elements (TEs) in syntenic lncRNA sequences revealed intriguing patterns: human lncRNAs are enriched in simple repeat elements, while their zebrafish counterparts show enrichment in LTR elements. This sequence evolution likely arises from post-rearrangement mutations that enhance DNA elements or cis-regulatory functions. It may also contribute to vertebrate innovation by creating novel transcription factor binding sites within the locus. This study highlights the conserved functionality of syntenic lncRNA loci through DNA elements, emphasizing their conserved roles across species despite sequence divergence.
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Affiliation(s)
- Gyan Ranjan
- CSIR Institute of Genomics and Integrative Biology, Mathura Road, Delhi 110024, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Vinod Scaria
- CSIR Institute of Genomics and Integrative Biology, Mathura Road, Delhi 110024, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India; Vishwanath Cancer Care Foundation, Mumbai, India.; Dr. D. Y Patil Medical College, Hospital and Research Centre, Pune, India.
| | - Sridhar Sivasubbu
- CSIR Institute of Genomics and Integrative Biology, Mathura Road, Delhi 110024, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India; Vishwanath Cancer Care Foundation, Mumbai, India.; Dr. D. Y Patil Medical College, Hospital and Research Centre, Pune, India.
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4
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Coan M, Haefliger S, Ounzain S, Johnson R. Targeting and engineering long non-coding RNAs for cancer therapy. Nat Rev Genet 2024; 25:578-595. [PMID: 38424237 DOI: 10.1038/s41576-024-00693-2] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/17/2024] [Indexed: 03/02/2024]
Abstract
RNA therapeutics (RNATx) aim to treat diseases, including cancer, by targeting or employing RNA molecules for therapeutic purposes. Amongst the most promising targets are long non-coding RNAs (lncRNAs), which regulate oncogenic molecular networks in a cell type-restricted manner. lncRNAs are distinct from protein-coding genes in important ways that increase their therapeutic potential yet also present hurdles to conventional clinical development. Advances in genome editing, oligonucleotide chemistry, multi-omics and RNA engineering are paving the way for efficient and cost-effective lncRNA-focused drug discovery pipelines. In this Review, we present the emerging field of lncRNA therapeutics for oncology, with emphasis on the unique strengths and challenges of lncRNAs within the broader RNATx framework. We outline the necessary steps for lncRNA therapeutics to deliver effective, durable, tolerable and personalized treatments for cancer.
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Affiliation(s)
- Michela Coan
- School of Biology and Environmental Science, University College Dublin, Dublin, Ireland
- Conway Institute of Biomedical and Biomolecular Research, University College Dublin, Dublin, Ireland
- School of Medicine, University College Dublin, Dublin, Ireland
| | - Simon Haefliger
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Department for BioMedical Research, University of Bern, Bern, Switzerland
| | | | - Rory Johnson
- School of Biology and Environmental Science, University College Dublin, Dublin, Ireland.
- Conway Institute of Biomedical and Biomolecular Research, University College Dublin, Dublin, Ireland.
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
- Department for BioMedical Research, University of Bern, Bern, Switzerland.
- FutureNeuro, SFI Research Centre for Chronic and Rare Neurological Diseases, Dublin, Ireland.
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5
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Morales-Vicente DA, Tahira AC, Woellner-Santos D, Amaral MS, Berzoti-Coelho MG, Verjovski-Almeida S. The Human Developing Cerebral Cortex Is Characterized by an Elevated De Novo Expression of Long Noncoding RNAs in Excitatory Neurons. Mol Biol Evol 2024; 41:msae123. [PMID: 38913688 PMCID: PMC11221658 DOI: 10.1093/molbev/msae123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 06/12/2024] [Accepted: 06/14/2024] [Indexed: 06/26/2024] Open
Abstract
The outstanding human cognitive capacities are computed in the cerebral cortex, a mammalian-specific brain region and the place of massive biological innovation. Long noncoding RNAs have emerged as gene regulatory elements with higher evolutionary turnover than mRNAs. The many long noncoding RNAs identified in neural tissues make them candidates for molecular sources of cerebral cortex evolution and disease. Here, we characterized the genomic and cellular shifts that occurred during the evolution of the long noncoding RNA repertoire expressed in the developing cerebral cortex and explored putative roles for these long noncoding RNAs in the evolution of the human brain. Using transcriptomics and comparative genomics, we comprehensively annotated the cortical transcriptomes of humans, rhesus macaques, mice, and chickens and classified human cortical long noncoding RNAs into evolutionary groups as a function of their predicted minimal ages. Long noncoding RNA evolutionary groups showed differences in expression levels, splicing efficiencies, transposable element contents, genomic distributions, and transcription factor binding to their promoters. Furthermore, older long noncoding RNAs showed preferential expression in germinative zones, outer radial glial cells, and cortical inhibitory (GABAergic) neurons. In comparison, younger long noncoding RNAs showed preferential expression in cortical excitatory (glutamatergic) neurons, were enriched in primate and human-specific gene co-expression modules, and were dysregulated in neurodevelopmental disorders. These results suggest different evolutionary routes for older and younger cortical long noncoding RNAs, highlighting old long noncoding RNAs as a possible source of molecular evolution of conserved developmental programs; conversely, we propose that the de novo expression of primate- and human-specific young long noncoding RNAs is a putative source of molecular evolution and dysfunction of cortical excitatory neurons, warranting further investigation.
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Affiliation(s)
- David A Morales-Vicente
- Laboratório de Ciclo Celular, Instituto Butantan, São Paulo, Brazil
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil
| | - Ana C Tahira
- Laboratório de Ciclo Celular, Instituto Butantan, São Paulo, Brazil
| | - Daisy Woellner-Santos
- Laboratório de Ciclo Celular, Instituto Butantan, São Paulo, Brazil
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil
| | - Murilo S Amaral
- Laboratório de Ciclo Celular, Instituto Butantan, São Paulo, Brazil
| | - Maria G Berzoti-Coelho
- Laboratório de Ciclo Celular, Instituto Butantan, São Paulo, Brazil
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil
| | - Sergio Verjovski-Almeida
- Laboratório de Ciclo Celular, Instituto Butantan, São Paulo, Brazil
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil
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6
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Radrizzani S, Kudla G, Izsvák Z, Hurst LD. Selection on synonymous sites: the unwanted transcript hypothesis. Nat Rev Genet 2024; 25:431-448. [PMID: 38297070 DOI: 10.1038/s41576-023-00686-7] [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: 12/04/2023] [Indexed: 02/02/2024]
Abstract
Although translational selection to favour codons that match the most abundant tRNAs is not readily observed in humans, there is nonetheless selection in humans on synonymous mutations. We hypothesize that much of this synonymous site selection can be explained in terms of protection against unwanted RNAs - spurious transcripts, mis-spliced forms or RNAs derived from transposable elements or viruses. We propose not only that selection on synonymous sites functions to reduce the rate of creation of unwanted transcripts (for example, through selection on exonic splice enhancers and cryptic splice sites) but also that high-GC content (but low-CpG content), together with intron presence and position, is both particular to functional native mRNAs and used to recognize transcripts as native. In support of this hypothesis, transcription, nuclear export, liquid phase condensation and RNA degradation have all recently been shown to promote GC-rich transcripts and suppress AU/CpG-rich ones. With such 'traps' being set against AU/CpG-rich transcripts, the codon usage of native genes has, in turn, evolved to avoid such suppression. That parallel filters against AU/CpG-rich transcripts also affect the endosomal import of RNAs further supports the unwanted transcript hypothesis of synonymous site selection and explains the similar design rules that have enabled the successful use of transgenes and RNA vaccines.
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Affiliation(s)
- Sofia Radrizzani
- Milner Centre for Evolution, Department of Life Sciences, University of Bath, Bath, UK
- Milner Therapeutics Institute, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK
| | - Grzegorz Kudla
- MRC Human Genetics Unit, Institute for Genetics and Cancer, The University of Edinburgh, Edinburgh, UK
| | - Zsuzsanna Izsvák
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Society, Berlin, Germany
| | - Laurence D Hurst
- Milner Centre for Evolution, Department of Life Sciences, University of Bath, Bath, UK.
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7
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Terrazzan A, Vanini R, Ancona P, Bianchi N, Taccioli C, Aguiari G. State-of-the-art in transposable element modulation affected by drugs in malignant prostatic cancer cells. J Cell Biochem 2024; 125:e30557. [PMID: 38501160 DOI: 10.1002/jcb.30557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 02/14/2024] [Accepted: 03/07/2024] [Indexed: 03/20/2024]
Abstract
Over recent years, the investigation of transposable elements (TEs) has granted researchers a deeper comprehension of their characteristics and functions, particularly regarding their significance in the mechanisms contributing to cancer development. This manuscript focuses on prostate carcinoma cell lines and offers a comprehensive review intended to scrutinize the associations and interactions between TEs and genes, as well as their response to treatment using various chemical drugs, emphasizing their involvement in cancer progression. We assembled a compendium of articles retrieved from the PubMed database to construct networks demonstrating correlations with genes and pharmaceuticals. In doing so, we linked the transposition of certain TE types to the expression of specific transcripts directly implicated in carcinogenesis. Additionally, we underline that treatment employing different drugs revealed unique patterns of TE reactivation. Our hypothesis gathers the current understanding and guides research toward evidence-based investigations, emphasizing the association between antiviral drugs, chemotherapy, and the reduced expression of TEs in patients affected by prostate cancer.
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Affiliation(s)
- Anna Terrazzan
- Department of Translational Medicine, University of Ferrara, Ferrara, Italy
- Laboratory for Advanced Therapy Technologies (LTTA), University of Ferrara, Ferrara, Italy
| | - Riccardo Vanini
- Department of Translational Medicine, University of Ferrara, Ferrara, Italy
| | - Pietro Ancona
- Department of Translational Medicine, University of Ferrara, Ferrara, Italy
| | - Nicoletta Bianchi
- Department of Translational Medicine, University of Ferrara, Ferrara, Italy
| | - Cristian Taccioli
- Department of Animal Medicine, Production and Health (MAPS), University of Padua, Padua, Italy
| | - Gianluca Aguiari
- Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy
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8
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Dhaka B, Zimmerli M, Hanhart D, Moser M, Guillen-Ramirez H, Mishra S, Esposito R, Polidori T, Widmer M, García-Pérez R, Julio MKD, Pervouchine D, Melé M, Chouvardas P, Johnson R. Functional identification of cis-regulatory long noncoding RNAs at controlled false discovery rates. Nucleic Acids Res 2024; 52:2821-2835. [PMID: 38348970 PMCID: PMC11014264 DOI: 10.1093/nar/gkae075] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 01/15/2024] [Accepted: 01/26/2024] [Indexed: 03/09/2024] Open
Abstract
A key attribute of some long noncoding RNAs (lncRNAs) is their ability to regulate expression of neighbouring genes in cis. However, such 'cis-lncRNAs' are presently defined using ad hoc criteria that, we show, are prone to false-positive predictions. The resulting lack of cis-lncRNA catalogues hinders our understanding of their extent, characteristics and mechanisms. Here, we introduce TransCistor, a framework for defining and identifying cis-lncRNAs based on enrichment of targets amongst proximal genes. TransCistor's simple and conservative statistical models are compatible with functionally defined target gene maps generated by existing and future technologies. Using transcriptome-wide perturbation experiments for 268 human and 134 mouse lncRNAs, we provide the first large-scale survey of cis-lncRNAs. Known cis-lncRNAs are correctly identified, including XIST, LINC00240 and UMLILO, and predictions are consistent across analysis methods, perturbation types and independent experiments. We detect cis-activity in a minority of lncRNAs, primarily involving activators over repressors. Cis-lncRNAs are detected by both RNA interference and antisense oligonucleotide perturbations. Mechanistically, cis-lncRNA transcripts are observed to physically associate with their target genes and are weakly enriched with enhancer elements. In summary, TransCistor establishes a quantitative foundation for cis-lncRNAs, opening a path to elucidating their molecular mechanisms and biological significance.
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Affiliation(s)
- Bhavya Dhaka
- School of Biology and Environmental Science, University College Dublin, Dublin D04 V1W8, Ireland
- Conway Institute for Biomolecular and Biomedical Research, University College Dublin, Dublin D04 V1W8, Ireland
| | - Marc Zimmerli
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010, Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
| | - Daniel Hanhart
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010, Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
| | - Mario B Moser
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010, Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
| | - Hugo Guillen-Ramirez
- School of Biology and Environmental Science, University College Dublin, Dublin D04 V1W8, Ireland
- Conway Institute for Biomolecular and Biomedical Research, University College Dublin, Dublin D04 V1W8, Ireland
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010, Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Sanat Mishra
- Indian Institute of Science Education and Research, Mohali, India
| | - Roberta Esposito
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010, Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
| | - Taisia Polidori
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010, Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
| | - Maro Widmer
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010, Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
| | - Raquel García-Pérez
- Department of Life Sciences, Barcelona Supercomputing Centre, Barcelona 08034, Spain
| | - Marianna Kruithof-de Julio
- Department of Urology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Urology Research Laboratory, Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland
| | - Dmitri Pervouchine
- Center for Cellular and Molecular Biology, Skolkovo Institute of Science and Technology, Moscow, Russia
| | - Marta Melé
- Department of Life Sciences, Barcelona Supercomputing Centre, Barcelona 08034, Spain
| | - Panagiotis Chouvardas
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010, Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
- Department of Urology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Urology Research Laboratory, Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland
| | - Rory Johnson
- School of Biology and Environmental Science, University College Dublin, Dublin D04 V1W8, Ireland
- Conway Institute for Biomolecular and Biomedical Research, University College Dublin, Dublin D04 V1W8, Ireland
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010, Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
- FutureNeuro SFI Research Centre, University College Dublin, Dublin D04 V1W8, Ireland
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9
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Patrick MT, Sreeskandarajan S, Shefler A, Wasikowski R, Sarkar MK, Chen J, Qin T, Billi AC, Kahlenberg JM, Prens E, Hovnanian A, Weidinger S, Elder JT, Kuo CC, Gudjonsson JE, Tsoi LC. Large-scale functional inference for skin-expressing lncRNAs using expression and sequence information. JCI Insight 2023; 8:e172956. [PMID: 38131377 PMCID: PMC10807743 DOI: 10.1172/jci.insight.172956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 11/08/2023] [Indexed: 12/23/2023] Open
Abstract
Long noncoding RNAs (lncRNAs) regulate the expression of protein-coding genes and have been shown to play important roles in inflammatory skin diseases. However, we still have limited understanding of the functional impact of lncRNAs in skin, partly due to their tissue specificity and lower expression levels compared with protein-coding genes. We compiled a comprehensive list of 18,517 lncRNAs from different sources and studied their expression profiles in 834 RNA-Seq samples from multiple inflammatory skin conditions and cytokine-stimulated keratinocytes. Applying a balanced random forest to predict involvement in biological functions, we achieved a median AUROC of 0.79 in 10-fold cross-validation, identifying significant DNA binding domains (DBDs) for 39 lncRNAs. G18244, a skin-expressing lncRNA predicted for IL-4/IL-13 signaling in keratinocytes, was highly correlated in expression with F13A1, a protein-coding gene involved in macrophage regulation, and we further identified a significant DBD in F13A1 for G18244. Reflecting clinical implications, AC090198.1 (predicted for IL-17 pathway) and AC005332.6 (predicted for IFN-γ pathway) had significant negative correlation with the SCORAD metric for atopic dermatitis. We also utilized single-cell RNA and spatial sequencing data to validate cell type specificity. Our research demonstrates lncRNAs have important immunological roles and can help prioritize their impact on inflammatory skin diseases.
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Affiliation(s)
- Matthew T. Patrick
- Department of Dermatology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Sutharzan Sreeskandarajan
- Department of Dermatology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Center for Autoimmune Genomics and Etiology (CAGE), Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA
| | - Alanna Shefler
- Department of Dermatology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Rachael Wasikowski
- Department of Dermatology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Mrinal K. Sarkar
- Department of Dermatology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Jiahan Chen
- Department of Dermatology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
- College of Sciences, North Carolina State University, Raleigh, North Carolina, USA
| | - Tingting Qin
- Department of Computational Medicine & Bioinformatics and
| | - Allison C. Billi
- Department of Dermatology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - J. Michelle Kahlenberg
- Department of Dermatology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Division of Rheumatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Errol Prens
- Department of Dermatology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Alain Hovnanian
- Laboratory of Genetic Skin Diseases, Imagine Institute, Paris, France
| | - Stephan Weidinger
- Department of Dermatology and Allergy, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - James T. Elder
- Department of Dermatology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Ann Arbor Veterans Affairs Hospital, Ann Arbor, Michigan, USA
| | - Chao-Chung Kuo
- Institute for Computational Genomics, Joint Research Center for Computational Biomedicine, RWTH Aachen University, Aachen, Germany
| | - Johann E. Gudjonsson
- Department of Dermatology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Lam C. Tsoi
- Department of Dermatology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Department of Computational Medicine & Bioinformatics and
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA
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10
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Gultyaev AP, Koster C, van Batenburg DC, Sistermans T, van Belle N, Vijfvinkel D, Roussis A. Conserved structured domains in plant non-coding RNA enod40, their evolution and recruitment of sequences from transposable elements. NAR Genom Bioinform 2023; 5:lqad091. [PMID: 37850034 PMCID: PMC10578108 DOI: 10.1093/nargab/lqad091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 07/22/2023] [Accepted: 09/22/2023] [Indexed: 10/19/2023] Open
Abstract
Plant long noncoding RNA enod40 is involved in the regulation of symbiotic associations with bacteria, in particular, in nitrogen-fixing root nodules of legumes, and with fungi in phosphate-acquiring arbuscular mycorrhizae formed by various plants. The presence of enod40 genes in plants that do not form such symbioses indicates its other roles in cell physiology. The molecular mechanisms of enod40 RNA function are poorly understood. Enod40 RNAs form several structured domains, conserved to different extents. Due to relatively low sequence similarity, identification of enod40 sequences in plant genomes is not straightforward, and many enod40 genes remain unannotated even in complete genomes. Here, we used comparative structure analysis and sequence similarity searches in order to locate enod40 genes and determine enod40 RNA structures in nitrogen-fixing clade plants and in grasses. The structures combine conserved features with considerable diversity of structural elements, including insertions of structured domain modules originating from transposable elements. Remarkably, these insertions contain sequences similar to tandem repeats and several stem-loops are homologous to microRNA precursors.
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Affiliation(s)
- Alexander P Gultyaev
- Leiden Institute of Advanced Computer Science, Leiden University, PO Box 9512, 2300 RA Leiden, The Netherlands
- Department of Viroscience, Erasmus Medical Center, PO Box 2040, 3000 CA Rotterdam, The Netherlands
| | - Celine Koster
- Life Science & Technology Honours College, Leiden University, PO Box 9502, 2300 RA Leiden, The Netherlands
- Amsterdam University Medical Center, Department of Human Genetics, section Ophthalmogenetics, Location AMC, Meibergdreef 9, Amsterdam, The Netherlands
| | - Diederik Cames van Batenburg
- Leiden Institute of Advanced Computer Science, Leiden University, PO Box 9512, 2300 RA Leiden, The Netherlands
- CareRate, Unit E1.165, Stationsplein 45, 3013 AK Rotterdam, The Netherlands
| | - Tom Sistermans
- Leiden Institute of Advanced Computer Science, Leiden University, PO Box 9512, 2300 RA Leiden, The Netherlands
- Institute of Organismic and Molecular Evolution, Johannes Gutenberg University Mainz, 55128 Mainz, Germany
| | - Niels van Belle
- Leiden Institute of Advanced Computer Science, Leiden University, PO Box 9512, 2300 RA Leiden, The Netherlands
| | - Daan Vijfvinkel
- Leiden Institute of Advanced Computer Science, Leiden University, PO Box 9512, 2300 RA Leiden, The Netherlands
| | - Andreas Roussis
- National & Kapodistrian University of Athens, Faculty of Biology, Section of Botany, Group Molecular Plant Physiology, Panepistimiopolis - Zografou - Athens, 15784, Greece
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11
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González‐Moro I, Garcia‐Etxebarria K, Mendoza LM, Fernández‐Jiménez N, Mentxaka J, Olazagoitia‐Garmendia A, Arroyo MN, Sawatani T, Moreno‐Castro C, Vinci C, Op de Beek A, Cnop M, Igoillo‐Esteve M, Santin I. LncRNA ARGI Contributes to Virus-Induced Pancreatic β Cell Inflammation Through Transcriptional Activation of IFN-Stimulated Genes. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2300063. [PMID: 37382191 PMCID: PMC10477904 DOI: 10.1002/advs.202300063] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 05/30/2023] [Indexed: 06/30/2023]
Abstract
Type 1 diabetes (T1D) is a complex autoimmune disease that develops in genetically susceptible individuals. Most T1D-associated single nucleotide polymorphisms (SNPs) are located in non-coding regions of the human genome. Interestingly, SNPs in long non-coding RNAs (lncRNAs) may result in the disruption of their secondary structure, affecting their function, and in turn, the expression of potentially pathogenic pathways. In the present work, the function of a virus-induced T1D-associated lncRNA named ARGI (Antiviral Response Gene Inducer) is characterized. Upon a viral insult, ARGI is upregulated in the nuclei of pancreatic β cells and binds to CTCF to interact with the promoter and enhancer regions of IFNβ and interferon-stimulated genes, promoting their transcriptional activation in an allele-specific manner. The presence of the T1D risk allele in ARGI induces a change in its secondary structure. Interestingly, the T1D risk genotype induces hyperactivation of type I IFN response in pancreatic β cells, an expression signature that is present in the pancreas of T1D patients. These data shed light on the molecular mechanisms by which T1D-related SNPs in lncRNAs influence pathogenesis at the pancreatic β cell level and opens the door for the development of therapeutic strategies based on lncRNA modulation to delay or avoid pancreatic β cell inflammation in T1D.
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Affiliation(s)
- Itziar González‐Moro
- Department of Biochemistry and Molecular BiologyUniversity of the Basque CountryLeioa48940Spain
- Biocruces Bizkaia Health Research InstituteBarakaldo48903Spain
| | - Koldo Garcia‐Etxebarria
- Biodonostia Health Research InstituteGastrointestinal Genetics GroupSan Sebastián20014Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd)Barcelona08036Spain
| | - Luis Manuel Mendoza
- Department of Biochemistry and Molecular BiologyUniversity of the Basque CountryLeioa48940Spain
| | - Nora Fernández‐Jiménez
- Biocruces Bizkaia Health Research InstituteBarakaldo48903Spain
- Department of GeneticsPhysical Anthropology and Animal PhysiologyUniversity of the Basque CountryLeioa48940Spain
| | - Jon Mentxaka
- Department of Biochemistry and Molecular BiologyUniversity of the Basque CountryLeioa48940Spain
- Biocruces Bizkaia Health Research InstituteBarakaldo48903Spain
| | - Ane Olazagoitia‐Garmendia
- Department of Biochemistry and Molecular BiologyUniversity of the Basque CountryLeioa48940Spain
- Biocruces Bizkaia Health Research InstituteBarakaldo48903Spain
| | - María Nicol Arroyo
- ULB Center for Diabetes ResearchUniversité Libre de BruxellesBrussels1070Belgium
| | - Toshiaki Sawatani
- ULB Center for Diabetes ResearchUniversité Libre de BruxellesBrussels1070Belgium
| | | | - Chiara Vinci
- ULB Center for Diabetes ResearchUniversité Libre de BruxellesBrussels1070Belgium
| | - Anne Op de Beek
- ULB Center for Diabetes ResearchUniversité Libre de BruxellesBrussels1070Belgium
| | - Miriam Cnop
- ULB Center for Diabetes ResearchUniversité Libre de BruxellesBrussels1070Belgium
- Division of EndocrinologyErasmus HospitalUniversité Libre de BruxellesBrussels1070Belgium
| | | | - Izortze Santin
- Department of Biochemistry and Molecular BiologyUniversity of the Basque CountryLeioa48940Spain
- Biocruces Bizkaia Health Research InstituteBarakaldo48903Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM)Instituto de Salud Carlos IIIMadrid28029Spain
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12
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Segal D, Dostie J. The Talented LncRNAs: Meshing into Transcriptional Regulatory Networks in Cancer. Cancers (Basel) 2023; 15:3433. [PMID: 37444543 DOI: 10.3390/cancers15133433] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 06/22/2023] [Accepted: 06/23/2023] [Indexed: 07/15/2023] Open
Abstract
As a group of diseases characterized by uncontrollable cell growth, cancer is highly multifaceted in how it overrides checkpoints controlling proliferation. Amongst the regulators of these checkpoints, long non-coding RNAs (lncRNAs) can have key roles in why natural biological processes go haywire. LncRNAs represent a large class of regulatory transcripts that can localize anywhere in cells. They were found to affect gene expression on many levels from transcription to mRNA translation and even protein stability. LncRNA participation in such control mechanisms can depend on cell context, with given transcripts sometimes acting as oncogenes or tumor suppressors. Importantly, the tissue-specificity and low expression levels of lncRNAs make them attractive therapeutic targets or biomarkers. Here, we review the various cellular processes affected by lncRNAs and outline molecular strategies they use to control gene expression, particularly in cancer and in relation to transcription factors.
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Affiliation(s)
- Dana Segal
- Department of Biochemistry, McGill University, Montréal, QC H3G 1Y6, Canada
- Rosalind and Morris Goodman Cancer Institute, McGill University, Montréal, QC H3A 1A3, Canada
| | - Josée Dostie
- Department of Biochemistry, McGill University, Montréal, QC H3G 1Y6, Canada
- Rosalind and Morris Goodman Cancer Institute, McGill University, Montréal, QC H3A 1A3, Canada
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13
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Plaisance I, Chouvardas P, Sun Y, Nemir M, Aghagolzadeh P, Aminfar F, Shen S, Shim WJ, Rochais F, Johnson R, Palpant N, Pedrazzini T. A transposable element into the human long noncoding RNA CARMEN is a switch for cardiac precursor cell specification. Cardiovasc Res 2023; 119:1361-1376. [PMID: 36537036 PMCID: PMC10262180 DOI: 10.1093/cvr/cvac191] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 10/20/2022] [Accepted: 11/04/2022] [Indexed: 03/25/2024] Open
Abstract
AIMS The major cardiac cell types composing the adult heart arise from common multipotent precursor cells. Cardiac lineage decisions are guided by extrinsic and cell-autonomous factors, including recently discovered long noncoding RNAs (lncRNAs). The human lncRNA CARMEN, which is known to dictate specification toward the cardiomyocyte (CM) and the smooth muscle cell (SMC) fates, generates a diversity of alternatively spliced isoforms. METHODS AND RESULTS The CARMEN locus can be manipulated to direct human primary cardiac precursor cells (CPCs) into specific cardiovascular fates. Investigating CARMEN isoform usage in differentiating CPCs represents therefore a unique opportunity to uncover isoform-specific functions in lncRNAs. Here, we identify one CARMEN isoform, CARMEN-201, to be crucial for SMC commitment. CARMEN-201 activity is encoded within an alternatively spliced exon containing a MIRc short interspersed nuclear element. This element binds the transcriptional repressor REST (RE1 Silencing Transcription Factor), targets it to cardiogenic loci, including ISL1, IRX1, IRX5, and SFRP1, and thereby blocks the CM gene program. In turn, genes regulating SMC differentiation are induced. CONCLUSIONS These data show how a critical physiological switch is wired by alternative splicing and functional transposable elements in a long noncoding RNA. They further demonstrated the crucial importance of the lncRNA isoform CARMEN-201 in SMC specification during heart development.
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Affiliation(s)
- Isabelle Plaisance
- Experimental Cardiology Unit, Division of Cardiology, University of Lausanne Medical School, Lausanne, Switzerland
| | | | - Yuliangzi Sun
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia
| | - Mohamed Nemir
- Experimental Cardiology Unit, Division of Cardiology, University of Lausanne Medical School, Lausanne, Switzerland
| | - Parisa Aghagolzadeh
- Experimental Cardiology Unit, Division of Cardiology, University of Lausanne Medical School, Lausanne, Switzerland
| | - Farhang Aminfar
- Experimental Cardiology Unit, Division of Cardiology, University of Lausanne Medical School, Lausanne, Switzerland
| | - Sophie Shen
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia
| | - Woo Jun Shim
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia
| | - Francesca Rochais
- Aix Marseille University, Marseille Medical Genetics, INSERM, U1251, Marseille, France
| | - Rory Johnson
- Department of Medical Oncology, Inselspital, University of Bern, Bern, Switzerland
- School of Biology and Environmental Science, University College Dublin, Dublin, Ireland
| | - Nathan Palpant
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia
| | - Thierry Pedrazzini
- Experimental Cardiology Unit, Division of Cardiology, University of Lausanne Medical School, Lausanne, Switzerland
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14
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Esposito R, Lanzós A, Uroda T, Ramnarayanan S, Büchi I, Polidori T, Guillen-Ramirez H, Mihaljevic A, Merlin BM, Mela L, Zoni E, Hovhannisyan L, McCluggage F, Medo M, Basile G, Meise DF, Zwyssig S, Wenger C, Schwarz K, Vancura A, Bosch-Guiteras N, Andrades Á, Tham AM, Roemmele M, Medina PP, Ochsenbein AF, Riether C, Kruithof-de Julio M, Zimmer Y, Medová M, Stroka D, Fox A, Johnson R. Tumour mutations in long noncoding RNAs enhance cell fitness. Nat Commun 2023; 14:3342. [PMID: 37291246 PMCID: PMC10250536 DOI: 10.1038/s41467-023-39160-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 06/01/2023] [Indexed: 06/10/2023] Open
Abstract
Long noncoding RNAs (lncRNAs) are linked to cancer via pathogenic changes in their expression levels. Yet, it remains unclear whether lncRNAs can also impact tumour cell fitness via function-altering somatic "driver" mutations. To search for such driver-lncRNAs, we here perform a genome-wide analysis of fitness-altering single nucleotide variants (SNVs) across a cohort of 2583 primary and 3527 metastatic tumours. The resulting 54 mutated and positively-selected lncRNAs are significantly enriched for previously-reported cancer genes and a range of clinical and genomic features. A number of these lncRNAs promote tumour cell proliferation when overexpressed in in vitro models. Our results also highlight a dense SNV hotspot in the widely-studied NEAT1 oncogene. To directly evaluate the functional significance of NEAT1 SNVs, we use in cellulo mutagenesis to introduce tumour-like mutations in the gene and observe a significant and reproducible increase in cell fitness, both in vitro and in a mouse model. Mechanistic studies reveal that SNVs remodel the NEAT1 ribonucleoprotein and boost subnuclear paraspeckles. In summary, this work demonstrates the utility of driver analysis for mapping cancer-promoting lncRNAs, and provides experimental evidence that somatic mutations can act through lncRNAs to enhance pathological cancer cell fitness.
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Affiliation(s)
- Roberta Esposito
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, 3010, Bern, Switzerland.
- Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland.
- Institute of Genetics and Biophysics "Adriano Buzzati-Traverso", CNR, 80131, Naples, Italy.
| | - Andrés Lanzós
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, 3010, Bern, Switzerland
- Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland
- Graduate School of Cellular and Biomedical Sciences, University of Bern, 3012, Bern, Switzerland
| | - Tina Uroda
- School of Biology and Environmental Science, University College Dublin, Dublin, D04 V1W8, Ireland
- Conway Institute for Biomolecular and Biomedical Research, University College Dublin, Dublin, D04 V1W8, Ireland
| | - Sunandini Ramnarayanan
- School of Biology and Environmental Science, University College Dublin, Dublin, D04 V1W8, Ireland
- Conway Institute for Biomolecular and Biomedical Research, University College Dublin, Dublin, D04 V1W8, Ireland
- The SFI Centre for Research Training in Genomics Data Science, Dublin, Ireland
| | - Isabel Büchi
- Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Taisia Polidori
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, 3010, Bern, Switzerland
- Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland
| | - Hugo Guillen-Ramirez
- School of Biology and Environmental Science, University College Dublin, Dublin, D04 V1W8, Ireland
- Conway Institute for Biomolecular and Biomedical Research, University College Dublin, Dublin, D04 V1W8, Ireland
| | - Ante Mihaljevic
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, 3010, Bern, Switzerland
- Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland
| | - Bernard Mefi Merlin
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, 3010, Bern, Switzerland
- Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland
| | - Lia Mela
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, 3010, Bern, Switzerland
- Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland
| | - Eugenio Zoni
- Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland
- Department of Urology, Inselspital, Bern University Hospital, Bern, Switzerland
| | - Lusine Hovhannisyan
- Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland
- Department of Radiation Oncology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Finn McCluggage
- School of Molecular Sciences, University of Western Australia, Crawley, WA, Australia
- School of Human Sciences, University of Western Australia, Crawley, WA, Australia
| | - Matúš Medo
- Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland
- Department of Radiation Oncology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Giulia Basile
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, 3010, Bern, Switzerland
- Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland
| | - Dominik F Meise
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, 3010, Bern, Switzerland
- Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland
| | - Sandra Zwyssig
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, 3010, Bern, Switzerland
- Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland
| | - Corina Wenger
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, 3010, Bern, Switzerland
- Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland
| | - Kyriakos Schwarz
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, 3010, Bern, Switzerland
- Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland
| | - Adrienne Vancura
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, 3010, Bern, Switzerland
- Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland
| | - Núria Bosch-Guiteras
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, 3010, Bern, Switzerland
- Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland
- Graduate School of Cellular and Biomedical Sciences, University of Bern, 3012, Bern, Switzerland
| | - Álvaro Andrades
- GENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, Granada, 18016, Spain
- Instituto de Investigación Biosanitaria, Granada, 18014, Spain
- Department of Biochemistry and Molecular Biology I, University of Granada, Granada, 18071, Spain
| | - Ai Ming Tham
- School of Biology and Environmental Science, University College Dublin, Dublin, D04 V1W8, Ireland
- Conway Institute for Biomolecular and Biomedical Research, University College Dublin, Dublin, D04 V1W8, Ireland
| | - Michaela Roemmele
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, 3010, Bern, Switzerland
- Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland
| | - Pedro P Medina
- GENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, Granada, 18016, Spain
- Instituto de Investigación Biosanitaria, Granada, 18014, Spain
- Department of Biochemistry and Molecular Biology I, University of Granada, Granada, 18071, Spain
| | - Adrian F Ochsenbein
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, 3010, Bern, Switzerland
- Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland
| | - Carsten Riether
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, 3010, Bern, Switzerland
- Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland
| | - Marianna Kruithof-de Julio
- Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland
- Department of Urology, Inselspital, Bern University Hospital, Bern, Switzerland
| | - Yitzhak Zimmer
- Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland
- Department of Radiation Oncology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Michaela Medová
- Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland
- Department of Radiation Oncology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Deborah Stroka
- Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Archa Fox
- School of Molecular Sciences, University of Western Australia, Crawley, WA, Australia
- School of Human Sciences, University of Western Australia, Crawley, WA, Australia
| | - Rory Johnson
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, 3010, Bern, Switzerland.
- Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland.
- School of Biology and Environmental Science, University College Dublin, Dublin, D04 V1W8, Ireland.
- Conway Institute for Biomolecular and Biomedical Research, University College Dublin, Dublin, D04 V1W8, Ireland.
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15
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Das S, Jones AE, Abrams JM. Generalized nuclear localization of retroelement transcripts. Mob DNA 2022; 13:30. [PMID: 36461093 PMCID: PMC9717504 DOI: 10.1186/s13100-022-00287-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 11/19/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND LINE-1s, Alus and SVAs are the only retrotransposition competent elements in humans. Their mobilization followed by insertional mutagenesis is often linked to disease. Apart from these rare integration events, accumulation of retrotransposition intermediates in the cytoplasm is potentially pathogenic due to induction of inflammatory response pathways. Although the retrotransposition of LINE-1 and Alu retroelements has been studied in considerable detail, there are mixed observations about the localization of their RNAs. RESULTS We undertook a comprehensive and unbiased approach to analyze retroelement RNA localization using common cell lines and publicly available datasets containing RNA-sequencing data from subcellular fractions. Using our customized analytic pipeline, we compared localization patterns of RNAs transcribed from retroelements and single-copy protein coding genes. Our results demonstrate a generalized characteristic pattern of retroelement RNA nuclear localization that is conserved across retroelement classes as well as evolutionarily young and ancient elements. Preferential nuclear enrichment of retroelement transcripts was consistently observed in cell lines, in vivo and across species. Moreover, retroelement RNA localization patterns were dynamic and subject to change during development, as seen in zebrafish embryos. CONCLUSION The pronounced nuclear localization of transcripts arising from ancient as well as de novo transcribed retroelements suggests that these transcripts are retained in the nucleus as opposed to being re-imported to the nucleus or degraded in the cytoplasm. This raises the possibility that there is adaptive value associated with this localization pattern to the host, the retroelements or possibly both.
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Affiliation(s)
- Simanti Das
- Department of Cell Biology, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Amanda E Jones
- Department of Cell Biology, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - John M Abrams
- Department of Cell Biology, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
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16
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Miao L, Batty KR, Jackson AN, Pieno HA, Rhoades MW, Kojima S. Genetic and environmental perturbations alter the rhythmic expression pattern of a circadian long non-coding RNA, Per2AS, in mouse liver. F1000Res 2022; 11:1073. [PMID: 36250003 PMCID: PMC9551389 DOI: 10.12688/f1000research.125628.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/26/2022] [Indexed: 11/23/2022] Open
Abstract
Background: Long non-coding RNAs (lncRNAs) play a wide variety of biological roles without encoding a protein. Although the functions of many lncRNAs have been uncovered in recent years, the regulatory mechanism of lncRNA expression is still poorly understood despite that the expression patterns of lncRNAs are much more specific compared to mRNAs. Here, we investigated the rhythmic expression of Per2AS, a novel lncRNA that regulates circadian rhythms. Given that Per2AS expression is antiphasic to Period2 ( Per2), a core circadian clock gene, and transcribed from the antisense strand of Per2, we hypothesized that the rhythmic Per2AS expression is driven either by its own promoter or by the rhythmic Per2 transcription via transcriptional interference. Methods: We leveraged existing circadian RNA-seq datasets and analyzed the expression patterns of Per2AS and Per2 in response to the genetic or environmental disruption of the circadian rhythm in mouse liver. We tested our hypotheses by comparing the changes in the expression patterns of Per2AS and Per2. Conclusions: We found that, in some cases, Per2AS expression is independently controlled by other circadian transcription factors. In other cases, the pattern of expression change is consistent with both transcriptional interference and independent regulation hypotheses. Although additional experiments will be necessary to distinguish these possibilities, findings from this work contribute to a deeper understanding of the mechanism of how the expression of lncRNA is regulated.
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Affiliation(s)
- Lin Miao
- Department of Biological Sciences, Virginia Tech, Blacksburg, VA, 24061, USA,Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Kyle R. Batty
- Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA, 24061, USA,Division of Systems Biology, Academy of Integrated Science, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Ayana N. Jackson
- Department of Biological Sciences, Virginia Tech, Blacksburg, VA, 24061, USA,Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Heather A. Pieno
- Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Maisy W. Rhoades
- Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Shihoko Kojima
- Department of Biological Sciences, Virginia Tech, Blacksburg, VA, 24061, USA,Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA, 24061, USA,Division of Systems Biology, Academy of Integrated Science, Virginia Tech, Blacksburg, VA, 24061, USA,
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17
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Duffy EE, Finander B, Choi G, Carter AC, Pritisanac I, Alam A, Luria V, Karger A, Phu W, Sherman MA, Assad EG, Pajarillo N, Khitun A, Crouch EE, Ganesh S, Chen J, Berger B, Sestan N, O'Donnell-Luria A, Huang EJ, Griffith EC, Forman-Kay JD, Moses AM, Kalish BT, Greenberg ME. Developmental dynamics of RNA translation in the human brain. Nat Neurosci 2022; 25:1353-1365. [PMID: 36171426 PMCID: PMC10198132 DOI: 10.1038/s41593-022-01164-9] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 08/12/2022] [Indexed: 01/27/2023]
Abstract
The precise regulation of gene expression is fundamental to neurodevelopment, plasticity and cognitive function. Although several studies have profiled transcription in the developing human brain, there is a gap in understanding of accompanying translational regulation. In this study, we performed ribosome profiling on 73 human prenatal and adult cortex samples. We characterized the translational regulation of annotated open reading frames (ORFs) and identified thousands of previously unknown translation events, including small ORFs that give rise to human-specific and/or brain-specific microproteins, many of which we independently verified using proteomics. Ribosome profiling in stem-cell-derived human neuronal cultures corroborated these findings and revealed that several neuronal activity-induced non-coding RNAs encode previously undescribed microproteins. Physicochemical analysis of brain microproteins identified a class of proteins that contain arginine-glycine-glycine (RGG) repeats and, thus, may be regulators of RNA metabolism. This resource expands the known translational landscape of the human brain and illuminates previously unknown brain-specific protein products.
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Affiliation(s)
- Erin E Duffy
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA.
| | | | - GiHun Choi
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Ava C Carter
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Iva Pritisanac
- Department of Cell and Systems Biology, University of Toronto, Toronto, ON, Canada
- Program in Molecular Medicine, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Biochemistry, University of Toronto, Toronto, ON, Canada
- Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Molecular Biology and Biochemistry, Medical University of Graz, Graz, Austria
| | - Aqsa Alam
- Department of Cell and Systems Biology, University of Toronto, Toronto, ON, Canada
| | - Victor Luria
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA
- Department of Pediatrics, Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA
| | - Amir Karger
- IT-Research Computing, Harvard Medical School, Boston, MA, USA
| | - William Phu
- Department of Pediatrics, Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Maxwell A Sherman
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Elena G Assad
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Naomi Pajarillo
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Alexandra Khitun
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, USA
| | - Elizabeth E Crouch
- Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA
- The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California, San Francisco, San Francisco, CA, USA
| | - Sanika Ganesh
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Jin Chen
- Cecil H. and Ida Green Center for Reproductive Biology Sciences, UT Southwestern Medical Center, Dallas, TX, USA
| | - Bonnie Berger
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Nenad Sestan
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
| | - Anne O'Donnell-Luria
- Department of Pediatrics, Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Eric J Huang
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Pathology Service 113B, San Francisco Veterans Affairs Healthcare System, San Francisco, CA, USA
| | - Eric C Griffith
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Julie D Forman-Kay
- Program in Molecular Medicine, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Biochemistry, University of Toronto, Toronto, ON, Canada
| | - Alan M Moses
- Department of Cell and Systems Biology, University of Toronto, Toronto, ON, Canada
| | - Brian T Kalish
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA.
- Department of Paediatrics, Division of Neonatology, Hospital for Sick Children, Toronto, ON, Canada.
- Program in Neuroscience and Mental Health, SickKids Research Institute, Toronto, ON, Canada.
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18
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Esposito R, Polidori T, Meise DF, Pulido-Quetglas C, Chouvardas P, Forster S, Schaerer P, Kobel A, Schlatter J, Kerkhof E, Roemmele M, Rice ES, Zhu L, Lanzós A, Guillen-Ramirez HA, Basile G, Carrozzo I, Vancura A, Ullrich S, Andrades A, Harvey D, Medina PP, Ma PC, Haefliger S, Wang X, Martinez I, Ochsenbein AF, Riether C, Johnson R. Multi-hallmark long noncoding RNA maps reveal non-small cell lung cancer vulnerabilities. CELL GENOMICS 2022; 2:100171. [PMID: 36778670 PMCID: PMC9903773 DOI: 10.1016/j.xgen.2022.100171] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 06/15/2022] [Accepted: 08/01/2022] [Indexed: 12/24/2022]
Abstract
Long noncoding RNAs (lncRNAs) are widely dysregulated in cancer, yet their functional roles in cancer hallmarks remain unclear. We employ pooled CRISPR deletion to perturb 831 lncRNAs detected in KRAS-mutant non-small cell lung cancer (NSCLC) and measure their contribution to proliferation, chemoresistance, and migration across two cell backgrounds. Integrative analysis of these data outperforms conventional "dropout" screens in identifying cancer genes while prioritizing disease-relevant lncRNAs with pleiotropic and background-independent roles. Altogether, 80 high-confidence oncogenic lncRNAs are active in NSCLC, which tend to be amplified and overexpressed in tumors. A follow-up antisense oligonucleotide (ASO) screen shortlisted two candidates, Cancer Hallmarks in Lung LncRNA 1 (CHiLL1) and GCAWKR, whose knockdown consistently suppressed cancer hallmarks in two- and three-dimension tumor models. Molecular phenotyping reveals that CHiLL1 and GCAWKR control cellular-level phenotypes via distinct transcriptional networks. This work reveals a multi-dimensional functional lncRNA landscape underlying NSCLC that contains potential therapeutic vulnerabilities.
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Affiliation(s)
- Roberta Esposito
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010 Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
- Institute of Genetics and Biophysics “Adriano Buzzati-Traverso” CNR, Naples 80131, Italy
| | - Taisia Polidori
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010 Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
- Graduate School of Cellular and Biomedical Sciences, University of Bern, Bern 3012, Switzerland
| | - Dominik F. Meise
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010 Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
| | - Carlos Pulido-Quetglas
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010 Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
- Graduate School of Cellular and Biomedical Sciences, University of Bern, Bern 3012, Switzerland
| | - Panagiotis Chouvardas
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010 Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
| | - Stefan Forster
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010 Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
| | - Paulina Schaerer
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010 Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
| | - Andrea Kobel
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010 Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
| | - Juliette Schlatter
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010 Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
| | - Erik Kerkhof
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010 Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
| | - Michaela Roemmele
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010 Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
| | - Emily S. Rice
- Department of Microbiology, Immunology, and Cell Biology, Morgantown, WV, USA
| | - Lina Zhu
- Department of Surgery, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong
- Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong
- Key Laboratory of Biochip Technology, Biotech and Health Centre, Shenzhen Research Institute, City University of Hong Kong, Shenzhen 518057, China
| | - Andrés Lanzós
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010 Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
- Graduate School of Cellular and Biomedical Sciences, University of Bern, Bern 3012, Switzerland
| | - Hugo A. Guillen-Ramirez
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010 Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
- School of Biology and Environmental Science, University College Dublin, Dublin D04 V1W8, Ireland
- Conway Institute for Biomolecular and Biomedical Research, University College Dublin, Dublin D04 V1W8, Ireland
| | - Giulia Basile
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010 Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
| | - Irene Carrozzo
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010 Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
| | - Adrienne Vancura
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010 Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
| | - Sebastian Ullrich
- Centre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology (BIST), Barcelona, Catalonia 08003, Spain
| | - Alvaro Andrades
- GENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, Granada 18016, Spain
- Instituto de Investigación Biosanitaria, Granada 18014, Spain
- Department of Biochemistry and Molecular Biology I, University of Granada, Granada 18071, Spain
| | - Dylan Harvey
- School of Biology and Environmental Science, University College Dublin, Dublin D04 V1W8, Ireland
| | - Pedro P. Medina
- GENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, Granada 18016, Spain
- Instituto de Investigación Biosanitaria, Granada 18014, Spain
- Department of Biochemistry and Molecular Biology I, University of Granada, Granada 18071, Spain
| | | | - Simon Haefliger
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010 Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
| | - Xin Wang
- Department of Surgery, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong
| | - Ivan Martinez
- Department of Microbiology, Immunology, and Cell Biology, Morgantown, WV, USA
| | - Adrian F. Ochsenbein
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010 Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
| | - Carsten Riether
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010 Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
| | - Rory Johnson
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern 3010 Switzerland
- Department for BioMedical Research, University of Bern, Bern 3008, Switzerland
- School of Biology and Environmental Science, University College Dublin, Dublin D04 V1W8, Ireland
- Conway Institute for Biomolecular and Biomedical Research, University College Dublin, Dublin D04 V1W8, Ireland
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19
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Ponting CP, Haerty W. Genome-Wide Analysis of Human Long Noncoding RNAs: A Provocative Review. Annu Rev Genomics Hum Genet 2022; 23:153-172. [PMID: 35395170 DOI: 10.1146/annurev-genom-112921-123710] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Do long noncoding RNAs (lncRNAs) contribute little or substantively to human biology? To address how lncRNA loci and their transcripts, structures, interactions, and functions contribute to human traits and disease, we adopt a genome-wide perspective. We intend to provoke alternative interpretation of questionable evidence and thorough inquiry into unsubstantiated claims. We discuss pitfalls of lncRNA experimental and computational methods as well as opposing interpretations of their results. The majority of evidence, we argue, indicates that most lncRNA transcript models reflect transcriptional noise or provide minor regulatory roles, leaving relatively few human lncRNAs that contribute centrally to human development, physiology, or behavior. These important few tend to be spliced and better conserved but lack a simple syntax relating sequence to structure and mechanism, and so resist simple categorization. This genome-wide view should help investigators prioritize individual lncRNAs based on their likely contribution to human biology.
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Affiliation(s)
- Chris P Ponting
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom;
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20
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Park EG, Ha H, Lee DH, Kim WR, Lee YJ, Bae WH, Kim HS. Genomic Analyses of Non-Coding RNAs Overlapping Transposable Elements and Its Implication to Human Diseases. Int J Mol Sci 2022; 23:ijms23168950. [PMID: 36012216 PMCID: PMC9409130 DOI: 10.3390/ijms23168950] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 08/05/2022] [Accepted: 08/09/2022] [Indexed: 11/16/2022] Open
Abstract
It is estimated that up to 80% of the human genome is transcribed into RNA molecules but less than 2% of the genome encodes the proteins, and the rest of the RNA transcripts that are not translated into protein are called non-coding RNAs (ncRNAs). Many studies have revealed that ncRNAs have biochemical activities as epigenetic regulators at the post-transcriptional level. Growing evidence has demonstrated that transposable elements (TEs) contribute to a large percentage of ncRNAs’ transcription. The TEs inserted into certain parts of the genome can act as alternative promoters, enhancers, and insulators, and the accumulation of TEs increases genetic diversity in the human genome. The TEs can also generate microRNAs, so-called miRNA-derived from transposable elements (MDTEs), and are also implicated in disease progression, such as infectious diseases and cancer. Here, we analyzed the origin of ncRNAs and reviewed the published literature on MDTEs related to disease progression.
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Affiliation(s)
- Eun Gyung Park
- Department of Integrated Biological Sciences, Pusan National University, Busan 46241, Korea
- Institute of Systems Biology, Pusan National University, Busan 46241, Korea
| | - Hongseok Ha
- Division of Life Sciences, Korea University, Seoul 02841, Korea
| | - Du Hyeong Lee
- Department of Integrated Biological Sciences, Pusan National University, Busan 46241, Korea
- Institute of Systems Biology, Pusan National University, Busan 46241, Korea
| | - Woo Ryung Kim
- Department of Integrated Biological Sciences, Pusan National University, Busan 46241, Korea
- Institute of Systems Biology, Pusan National University, Busan 46241, Korea
| | - Yun Ju Lee
- Department of Integrated Biological Sciences, Pusan National University, Busan 46241, Korea
- Institute of Systems Biology, Pusan National University, Busan 46241, Korea
| | - Woo Hyeon Bae
- Department of Integrated Biological Sciences, Pusan National University, Busan 46241, Korea
- Institute of Systems Biology, Pusan National University, Busan 46241, Korea
| | - Heui-Soo Kim
- Institute of Systems Biology, Pusan National University, Busan 46241, Korea
- Department of Biological Sciences, College of Natural Sciences, Pusan National University, Busan 46241, Korea
- Correspondence:
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21
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The retroelement Lx9 puts a brake on the immune response to virus infection. Nature 2022; 608:757-765. [PMID: 35948641 DOI: 10.1038/s41586-022-05054-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 06/30/2022] [Indexed: 11/08/2022]
Abstract
The notion that mobile units of nucleic acid known as transposable elements can operate as genomic controlling elements was put forward over six decades ago1,2. However, it was not until the advancement of genomic sequencing technologies that the abundance and repertoire of transposable elements were revealed, and they are now known to constitute up to two-thirds of mammalian genomes3,4. The presence of DNA regulatory regions including promoters, enhancers and transcription-factor-binding sites within transposable elements5-8 has led to the hypothesis that transposable elements have been co-opted to regulate mammalian gene expression and cell phenotype8-14. Mammalian transposable elements include recent acquisitions and ancient transposable elements that have been maintained in the genome over evolutionary time. The presence of ancient conserved transposable elements correlates positively with the likelihood of a regulatory function, but functional validation remains an essential step to identify transposable element insertions that have a positive effect on fitness. Here we show that CRISPR-Cas9-mediated deletion of a transposable element-namely the LINE-1 retrotransposon Lx9c11-in mice results in an exaggerated and lethal immune response to virus infection. Lx9c11 is critical for the neogenesis of a non-coding RNA (Lx9c11-RegoS) that regulates genes of the Schlafen family, reduces the hyperinflammatory phenotype and rescues lethality in virus-infected Lx9c11-/- mice. These findings provide evidence that a transposable element can control the immune system to favour host survival during virus infection.
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22
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Integrated lncRNA function upon genomic and epigenomic regulation. Mol Cell 2022; 82:2252-2266. [PMID: 35714586 DOI: 10.1016/j.molcel.2022.05.027] [Citation(s) in RCA: 334] [Impact Index Per Article: 111.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 05/09/2022] [Accepted: 05/23/2022] [Indexed: 12/20/2022]
Abstract
Although some long noncoding (lnc)RNAs are known since the 1950s, the past 25 years have uncovered myriad lncRNAs with diverse sequences, structures, and functions. The advent of high-throughput and sensitive technologies has further uncovered the vast heterogeneity of lncRNA-interacting molecules and patterns of expressed lncRNAs. We propose a unifying functional theme for the expansive family of lncRNAs. At an elementary level, the genomic program of gene expression is elicited via canonical transcription and post-transcriptional mRNA assembly, turnover, and translation. Building upon this regulation, an epigenomic program refines the basic genomic control by modifying chromatin architecture as well as DNA and RNA chemistry. Superimposed over the genomic and epigenomic programs, lncRNAs create an additional regulatory dimension: by interacting with the proteins and nucleic acids that regulate gene expression in the nucleus and cytoplasm, lncRNAs help establish robust, nimble, and specific transcriptional and post-transcriptional control. We describe our present understanding of lncRNA-coordinated control of protein programs and cell fate and discuss challenges and opportunities as we embark on the next 25 years of lncRNA discovery.
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23
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Ma G, Babarinde IA, Zhou X, Hutchins AP. Transposable Elements in Pluripotent Stem Cells and Human Disease. Front Genet 2022; 13:902541. [PMID: 35719395 PMCID: PMC9201960 DOI: 10.3389/fgene.2022.902541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 05/20/2022] [Indexed: 11/18/2022] Open
Abstract
Transposable elements (TEs) are mobile genetic elements that can randomly integrate into other genomic sites. They have successfully replicated and now occupy around 40% of the total DNA sequence in humans. TEs in the genome have a complex relationship with the host cell, being both potentially deleterious and advantageous at the same time. Only a tiny minority of TEs are still capable of transposition, yet their fossilized sequence fragments are thought to be involved in various molecular processes, such as gene transcriptional activity, RNA stability and subcellular localization, and chromosomal architecture. TEs have also been implicated in biological processes, although it is often hard to reveal cause from correlation due to formidable technical issues in analyzing TEs. In this review, we compare and contrast two views of TE activity: one in the pluripotent state, where TEs are broadly beneficial, or at least mechanistically useful, and a second state in human disease, where TEs are uniformly considered harmful.
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24
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Pulido-Quetglas C, Johnson R. Designing libraries for pooled CRISPR functional screens of long noncoding RNAs. Mamm Genome 2022; 33:312-327. [PMID: 34533605 PMCID: PMC9114037 DOI: 10.1007/s00335-021-09918-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 09/09/2021] [Indexed: 02/01/2023]
Abstract
Human and other genomes encode tens of thousands of long noncoding RNAs (lncRNAs), the vast majority of which remain uncharacterised. High-throughput functional screening methods, notably those based on pooled CRISPR-Cas perturbations, promise to unlock the biological significance and biomedical potential of lncRNAs. Such screens are based on libraries of single guide RNAs (sgRNAs) whose design is critical for success. Few off-the-shelf libraries are presently available, and lncRNAs tend to have cell-type-specific expression profiles, meaning that library design remains in the hands of researchers. Here we introduce the topic of pooled CRISPR screens for lncRNAs and guide readers through the three key steps of library design: accurate annotation of transcript structures, curation of optimal candidate sets, and design of sgRNAs. This review is a starting point and reference for researchers seeking to design custom CRISPR screening libraries for lncRNAs.
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Affiliation(s)
- Carlos Pulido-Quetglas
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, 3010, Bern, Switzerland
- Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland
- Graduate School of Cellular and Biomedical Sciences, University of Bern, 3012, Bern, Switzerland
| | - Rory Johnson
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, 3010, Bern, Switzerland.
- Department for BioMedical Research, University of Bern, 3008, Bern, Switzerland.
- School of Biology and Environmental Science, University College Dublin, Dublin, D04 V1W8, Ireland.
- Conway Institute for Biomolecular and Biomedical Research, University College Dublin, Dublin, D04 V1W8, Ireland.
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25
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Ron M, Ulitsky I. Context-specific effects of sequence elements on subcellular localization of linear and circular RNAs. Nat Commun 2022; 13:2481. [PMID: 35513423 PMCID: PMC9072321 DOI: 10.1038/s41467-022-30183-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 04/05/2022] [Indexed: 12/24/2022] Open
Abstract
Long RNAs vary extensively in their post-transcriptional fates, and this variation is attributed in part to short sequence elements. We used massively parallel RNA assays to study how sequences derived from noncoding RNAs influence the subcellular localization and stability of circular and linear RNAs, including spliced and unspliced forms. We find that the effects of sequence elements strongly depend on the host RNA context, with limited overlap between sequences that drive nuclear enrichment of linear and circular RNAs. Binding of specific RNA binding proteins underpins some of these differences-SRSF1 binding leads to nuclear enrichment of circular RNAs; SAFB binding is associated with nuclear enrichment of predominantly unspliced linear RNAs; and IGF2BP1 promotes export of linear spliced RNA molecules. The post-transcriptional fate of long RNAs is thus dictated by combinatorial contributions of specific sequence elements, of splicing, and of the presence of the terminal features unique to linear RNAs.
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Affiliation(s)
- Maya Ron
- Departments of Biological Regulation and Molecular Neuroscience, Weizmann Institute of Science, Rehovot, 76100, Israel
| | - Igor Ulitsky
- Departments of Biological Regulation and Molecular Neuroscience, Weizmann Institute of Science, Rehovot, 76100, Israel.
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26
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Hoyt SJ, Storer JM, Hartley GA, Grady PGS, Gershman A, de Lima LG, Limouse C, Halabian R, Wojenski L, Rodriguez M, Altemose N, Rhie A, Core LJ, Gerton JL, Makalowski W, Olson D, Rosen J, Smit AFA, Straight AF, Vollger MR, Wheeler TJ, Schatz MC, Eichler EE, Phillippy AM, Timp W, Miga KH, O’Neill RJ. From telomere to telomere: The transcriptional and epigenetic state of human repeat elements. Science 2022; 376:eabk3112. [PMID: 35357925 PMCID: PMC9301658 DOI: 10.1126/science.abk3112] [Citation(s) in RCA: 194] [Impact Index Per Article: 64.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Mobile elements and repetitive genomic regions are sources of lineage-specific genomic innovation and uniquely fingerprint individual genomes. Comprehensive analyses of such repeat elements, including those found in more complex regions of the genome, require a complete, linear genome assembly. We present a de novo repeat discovery and annotation of the T2T-CHM13 human reference genome. We identified previously unknown satellite arrays, expanded the catalog of variants and families for repeats and mobile elements, characterized classes of complex composite repeats, and located retroelement transduction events. We detected nascent transcription and delineated CpG methylation profiles to define the structure of transcriptionally active retroelements in humans, including those in centromeres. These data expand our insight into the diversity, distribution, and evolution of repetitive regions that have shaped the human genome.
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Affiliation(s)
- Savannah J. Hoyt
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | | | - Gabrielle A. Hartley
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - Patrick G. S. Grady
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - Ariel Gershman
- Department of Molecular Biology and Genetics, Johns Hopkins University, Baltimore, MD, USA
| | | | - Charles Limouse
- Department of Biochemistry, Stanford University, Stanford, CA, USA
| | - Reza Halabian
- Institute of Bioinformatics, Faculty of Medicine, University of Münster, Münster, Germany
| | - Luke Wojenski
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - Matias Rodriguez
- Institute of Bioinformatics, Faculty of Medicine, University of Münster, Münster, Germany
| | - Nicolas Altemose
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Leighton J. Core
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA
| | | | - Wojciech Makalowski
- Institute of Bioinformatics, Faculty of Medicine, University of Münster, Münster, Germany
| | - Daniel Olson
- Department of Computer Science, University of Montana, Missoula, MT, USA
| | - Jeb Rosen
- Institute for Systems Biology, Seattle, WA, USA
| | | | | | - Mitchell R. Vollger
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Travis J. Wheeler
- Department of Computer Science, University of Montana, Missoula, MT, USA
| | - Michael C. Schatz
- Department of Computer Science and Department of Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Evan E. Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Adam M. Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Winston Timp
- Department of Molecular Biology and Genetics, Johns Hopkins University, Baltimore, MD, USA
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Karen H. Miga
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Rachel J. O’Neill
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA
- Department of Genetics and Genome Sciences, UConn Health, Farmington, CT, USA
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27
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Zhang X, Zhu YN, Chen B, Kang L. A Gypsy element contributes to the nuclear retention and transcriptional regulation of the resident lncRNA in locusts. RNA Biol 2022; 19:206-220. [PMID: 35067197 PMCID: PMC8786324 DOI: 10.1080/15476286.2021.2024032] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
The majority of long noncoding RNAs (lncRNAs) contain transposable elements (TEs). PAHAL, a nuclear-retained lncRNA that is inserted by a Gypsy retrotransposon, has been shown to be a vital regulator of phenylalanine hydroxylase (PAH) gene expression that controls dopamine biosynthesis and behavioural aggregation in the migratory locust. However, the role of the Gypsy retrotransposon in the transcriptional regulation of PAHAL remains unknown. Here, we identified a Gypsy retrotransposon (named Gypsy element) as an inverted long terminal repeat located in the 3′ end of PAHAL, representing a feature shared by many other lncRNAs in the locust genome. The embedded Gypsy element contains a RNA nuclear localization signal motif, which promotes the stable accumulation of PAHAL in the nucleus. The Gypsy element also provides high-affinity SRSF2 binding sites for PAHAL that induce the recruitment of SRSF2, resulting in the PAHAL-mediated transcriptional activation of PAH. Thus, our data demonstrate that TEs provide discrete functional domains for lncRNA organization and highlight the contribution of TEs to the regulatory significance of lncRNAs.
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Affiliation(s)
- Xia Zhang
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.,CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, China
| | - Ya Nan Zhu
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.,CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, China
| | - Bing Chen
- School of Life Sciences, Hebei University, Baoding, China
| | - Le Kang
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.,CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, China.,School of Life Sciences, Hebei University, Baoding, China.,Beijing Institute of Life Sciences, Chinese Academy of Sciences, Beijing, China
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28
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Zeng C, Takeda A, Sekine K, Osato N, Fukunaga T, Hamada M. Bioinformatics Approaches for Determining the Functional Impact of Repetitive Elements on Non-coding RNAs. Methods Mol Biol 2022; 2509:315-340. [PMID: 35796972 DOI: 10.1007/978-1-0716-2380-0_19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
With a large number of annotated non-coding RNAs (ncRNAs), repetitive sequences are found to constitute functional components (termed as repetitive elements) in ncRNAs that perform specific biological functions. Bioinformatics analysis is a powerful tool for improving our understanding of the role of repetitive elements in ncRNAs. This chapter summarizes recent findings that reveal the role of repetitive elements in ncRNAs. Furthermore, relevant bioinformatics approaches are systematically reviewed, which promises to provide valuable resources for studying the functional impact of repetitive elements on ncRNAs.
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Affiliation(s)
- Chao Zeng
- Faculty of Science and Engineering, Waseda University, Tokyo, Japan.
- AIST-Waseda University Computational Bio Big-Data Open Innovation Laboratory (CBBD-OIL), Tokyo, Japan.
| | - Atsushi Takeda
- Faculty of Science and Engineering, Waseda University, Tokyo, Japan
| | - Kotaro Sekine
- Faculty of Science and Engineering, Waseda University, Tokyo, Japan
| | - Naoki Osato
- Faculty of Science and Engineering, Waseda University, Tokyo, Japan
| | - Tsukasa Fukunaga
- Waseda Institute for Advanced Study, Waseda University, Tokyo, Japan
| | - Michiaki Hamada
- Faculty of Science and Engineering, Waseda University, Tokyo, Japan.
- AIST-Waseda University Computational Bio Big-Data Open Innovation Laboratory (CBBD-OIL), Tokyo, Japan.
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Panyushev N, Okorokova L, Danilov L, Adonin L. Pattern of Repetitive Element Transcription Segregate Cell Lineages during the Embryogenesis of Sea Urchin Strongylocentrotus purpuratus. Biomedicines 2021; 9:1736. [PMID: 34829966 PMCID: PMC8615465 DOI: 10.3390/biomedicines9111736] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 11/12/2021] [Accepted: 11/17/2021] [Indexed: 11/17/2022] Open
Abstract
Repetitive elements (REs) occupy a significant part of eukaryotic genomes and are shown to play diverse roles in genome regulation. During embryogenesis of the sea urchin, a large number of REs are expressed, but the role of these elements in the regulation of biological processes remains unknown. The aim of this study was to identify the RE expression at different stages of embryogenesis. REs occupied 44% of genomic DNA of Strongylocentrotus purpuratus. The most prevalent among these elements were the unknown elements-in total, they contributed 78.5% of REs (35% in total genome occupancy). It was revealed that the transcription pattern of genes and REs changes significantly during gastrulation. Using the de novo transcriptome assembly, we showed that the expression of RE is independent of its copy number in the genome. We also identified copies that are expressed. Only active RE copies were used for mapping and quantification of RE expression in the single-cell RNA sequencing data. REs expression was observed in all cell lineages and they were detected as population markers. Moreover, the primary mesenchyme cell (PMC) line had the greatest diversity of REs among the markers. Our data suggest a role for RE in the organization of developmental domains during the sea urchin embryogenesis at the single-cell resolution level.
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Affiliation(s)
- Nick Panyushev
- Bioinformatics Institute, 197342 St. Petersburg, Russia; (N.P.); (L.O.)
| | - Larisa Okorokova
- Bioinformatics Institute, 197342 St. Petersburg, Russia; (N.P.); (L.O.)
| | - Lavrentii Danilov
- St. Petersburg State University, Department of Genetics and Biotechnology, 199034 St. Petersburg, Russia;
| | - Leonid Adonin
- Moscow Institute of Physics and Technology, 141700 Dolgoprudny, Russia
- Institute of Biomedical Chemistry, Group of Mechanisms for Nanosystems Targeted Delivery, 119121 Moscow, Russia
- Institute of Environmental and Agricultural Biology (X-BIO), Tyumen State University, 625003 Tyumen, Russia
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30
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Lagarrigue S, Lorthiois M, Degalez F, Gilot D, Derrien T. LncRNAs in domesticated animals: from dog to livestock species. Mamm Genome 2021; 33:248-270. [PMID: 34773482 PMCID: PMC9114084 DOI: 10.1007/s00335-021-09928-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 10/19/2021] [Indexed: 11/29/2022]
Abstract
Animal genomes are pervasively transcribed into multiple RNA molecules, of which many will not be translated into proteins. One major component of this transcribed non-coding genome is the long non-coding RNAs (lncRNAs), which are defined as transcripts longer than 200 nucleotides with low coding-potential capabilities. Domestic animals constitute a unique resource for studying the genetic and epigenetic basis of phenotypic variations involving protein-coding and non-coding RNAs, such as lncRNAs. This review presents the current knowledge regarding transcriptome-based catalogues of lncRNAs in major domesticated animals (pets and livestock species), covering a broad phylogenetic scale (from dogs to chicken), and in comparison with human and mouse lncRNA catalogues. Furthermore, we describe different methods to extract known or discover novel lncRNAs and explore comparative genomics approaches to strengthen the annotation of lncRNAs. We then detail different strategies contributing to a better understanding of lncRNA functions, from genetic studies such as GWAS to molecular biology experiments and give some case examples in domestic animals. Finally, we discuss the limitations of current lncRNA annotations and suggest research directions to improve them and their functional characterisation.
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Affiliation(s)
| | - Matthias Lorthiois
- Univ Rennes, CNRS, IGDR (Institut de Génétique et Développement de Rennes) - UMR 6290, 2 av Prof Leon Bernard, F-35000, Rennes, France
| | - Fabien Degalez
- INRAE, INSTITUT AGRO, PEGASE UMR 1348, 35590, Saint-Gilles, France
| | - David Gilot
- CLCC Eugène Marquis, INSERM, Université Rennes, UMR_S 1242, 35000, Rennes, France
| | - Thomas Derrien
- Univ Rennes, CNRS, IGDR (Institut de Génétique et Développement de Rennes) - UMR 6290, 2 av Prof Leon Bernard, F-35000, Rennes, France.
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31
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Vlachogiannis NI, Sachse M, Georgiopoulos G, Zormpas E, Bampatsias D, Delialis D, Bonini F, Galyfos G, Sigala F, Stamatelopoulos K, Gatsiou A, Stellos K. Adenosine-to-inosine Alu RNA editing controls the stability of the pro-inflammatory long noncoding RNA NEAT1 in atherosclerotic cardiovascular disease. J Mol Cell Cardiol 2021; 160:111-120. [PMID: 34302813 PMCID: PMC8585018 DOI: 10.1016/j.yjmcc.2021.07.005] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 06/21/2021] [Accepted: 07/16/2021] [Indexed: 12/24/2022]
Abstract
Long non-coding RNAs (lncRNAs) have emerged as critical regulators in human disease including atherosclerosis. However, the mechanisms involved in the post-transcriptional regulation of the expression of disease-associated lncRNAs are not fully understood. Gene expression studies revealed that Nuclear Paraspeckle Assembly Transcript 1 (NEAT1) lncRNA expression was increased by >2-fold in peripheral blood mononuclear cells (PBMCs) derived from patients with coronary artery disease (CAD) or in carotid artery atherosclerotic plaques. We observed a linear association between NEAT1 lncRNA expression and prevalence of CAD which was independent of age, sex, cardiovascular traditional risk factors and renal function. NEAT1 expression was induced by TNF-α, while silencing of NEAT1 profoundly attenuated the TNF-α-induced vascular endothelial cell pro-inflammatory response as defined by the expression of CXCL8, CCL2, VCAM1 and ICAM1. Overexpression of the RNA editing enzyme adenosine deaminase acting on RNA-1 (ADAR1), but not of its editing-deficient mutant, upregulated NEAT1 levels. Conversely, silencing of ADAR1 suppressed the basal levels and the TNF-α-induced increase of NEAT1. NEAT1 lncRNA expression was strongly associated with ADAR1 in CAD and peripheral arterial vascular disease. RNA editing mapping studies revealed the presence of several inosines in close proximity to AU-rich elements within the AluSx3+/AluJo- double-stranded RNA complex. Silencing of the stabilizing RNA-binding protein AUF1 reduced NEAT1 levels while silencing of ADAR1 profoundly affected the binding capacity of AUF1 to NEAT1. Together, our findings propose a mechanism by which ADAR1-catalyzed A-to-I RNA editing controls NEAT1 lncRNA stability in ASCVD.
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Affiliation(s)
- Nikolaos I Vlachogiannis
- Biosciences Institute, Vascular Biology and Medicine Theme, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK; Department of Cardiology, Freeman Hospital, Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Marco Sachse
- Biosciences Institute, Vascular Biology and Medicine Theme, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK; Vascular Inflammation and RNA Metabolism Laboratory, Institute for Vascular Signalling, JW Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Georgios Georgiopoulos
- Department of Clinical Therapeutics, Alexandra Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Eleftherios Zormpas
- Biosciences Institute, Vascular Biology and Medicine Theme, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK
| | - Dimitrios Bampatsias
- Department of Clinical Therapeutics, Alexandra Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Dimitrios Delialis
- Department of Clinical Therapeutics, Alexandra Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Francesca Bonini
- Biosciences Institute, Vascular Biology and Medicine Theme, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK; Vascular Inflammation and RNA Metabolism Laboratory, Institute for Vascular Signalling, JW Goethe University Frankfurt, Frankfurt am Main, Germany
| | - George Galyfos
- First Propaedeutic Department of Surgery, National and Kapodistrian University of Athens, Hippocration Hospital, Athens, Greece
| | - Fragiska Sigala
- First Propaedeutic Department of Surgery, National and Kapodistrian University of Athens, Hippocration Hospital, Athens, Greece
| | - Kimon Stamatelopoulos
- Department of Clinical Therapeutics, Alexandra Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Aikaterini Gatsiou
- Biosciences Institute, Vascular Biology and Medicine Theme, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK.
| | - Konstantinos Stellos
- Biosciences Institute, Vascular Biology and Medicine Theme, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK; Department of Cardiology, Freeman Hospital, Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK; Vascular Inflammation and RNA Metabolism Laboratory, Institute for Vascular Signalling, JW Goethe University Frankfurt, Frankfurt am Main, Germany.
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Huang H, Li L, Wen K. Interactions between long non‑coding RNAs and RNA‑binding proteins in cancer (Review). Oncol Rep 2021; 46:256. [PMID: 34676873 PMCID: PMC8548813 DOI: 10.3892/or.2021.8207] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 10/12/2021] [Indexed: 12/30/2022] Open
Abstract
Long non-coding RNAs (lncRNAs) fulfill important roles in the majority of cellular processes. Previous studies have demonstrated that lncRNAs are involved in the pathogenesis of various diseases, including cancer. However, to date, the functions of only a small number of the known lncRNAs have been well-documented. lncRNAs comprise a class of multifunctional non-coding transcripts that are able to interact with different types of biomolecules. Interactions between lncRNAs and RNA-binding proteins (RBPs) provide an important mechanism through which lncRNAs exert their regulatory functions, mainly through findings on ‘generalized RBPs’. Regulatory effects on lncRNAs mediated by RBPs have also been explored. Taking account of the research that has been completed to date, the continued and in-depth study of the bidirectional interactions between lncRNAs and RBPs will prove to be of major importance for understanding the pathogenesis of cancer and for developing effective therapies. The present review aims to explore the interactions between lncRNAs and RBPs that have been investigated in cancer, taking into consideration several different aspects, including the regulation of expression, subcellular localization and the mediation of diverse functions.
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Affiliation(s)
- Handong Huang
- Department of Gastrointestinal Surgery, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou 563000, P.R. China
| | - Lu Li
- Department of Ophthalmology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou 563000, P.R. China
| | - Kunming Wen
- Department of Gastrointestinal Surgery, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou 563000, P.R. China
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Alfeghaly C, Sanchez A, Rouget R, Thuillier Q, Igel-Bourguignon V, Marchand V, Branlant C, Motorin Y, Behm-Ansmant I, Maenner S. Implication of repeat insertion domains in the trans-activity of the long non-coding RNA ANRIL. Nucleic Acids Res 2021; 49:4954-4970. [PMID: 33872355 PMCID: PMC8136789 DOI: 10.1093/nar/gkab245] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 03/20/2021] [Accepted: 03/26/2021] [Indexed: 11/14/2022] Open
Abstract
Long non-coding RNAs have emerged as critical regulators of cell homeostasis by modulating gene expression at chromatin level for instance. Here, we report that the lncRNA ANRIL, associated with several pathologies, binds to thousands of loci dispersed throughout the mammalian genome sharing a 21-bp motif enriched in G/A residues. By combining ANRIL genomic occupancy with transcriptomic analysis, we established a list of 65 and 123 genes potentially directly activated and silenced by ANRIL in trans, respectively. We also found that Exon8 of ANRIL, mainly made of transposable elements, contributes to ANRIL genomic association and consequently to its trans-activity. Furthermore, we showed that Exon8 favors ANRIL's association with the FIRRE, TPD52L1 and IGFBP3 loci to modulate their expression through H3K27me3 deposition. We also investigated the mechanisms engaged by Exon8 to favor ANRIL's association with the genome. Our data refine ANRIL's trans-activity and highlight the functional importance of TEs on ANRIL's activity.
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Affiliation(s)
| | | | - Raphael Rouget
- Université de Lorraine, CNRS, IMoPA, F-54000 Nancy, France
| | | | - Valérie Igel-Bourguignon
- Université de Lorraine, CNRS, IMoPA, F-54000 Nancy, France
- Université de Lorraine, CNRS, INSERM, UMS2008 IBSLor, Epitranscriptomics and RNA Sequencing (EpiRNA-Seq) Core Facility, F-54000 Nancy, France
| | - Virginie Marchand
- Université de Lorraine, CNRS, INSERM, UMS2008 IBSLor, Epitranscriptomics and RNA Sequencing (EpiRNA-Seq) Core Facility, F-54000 Nancy, France
| | | | - Yuri Motorin
- Université de Lorraine, CNRS, IMoPA, F-54000 Nancy, France
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34
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Tassinari M, Richter SN, Gandellini P. Biological relevance and therapeutic potential of G-quadruplex structures in the human noncoding transcriptome. Nucleic Acids Res 2021; 49:3617-3633. [PMID: 33721024 PMCID: PMC8053107 DOI: 10.1093/nar/gkab127] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 02/10/2021] [Accepted: 02/15/2021] [Indexed: 12/11/2022] Open
Abstract
Noncoding RNAs are functional transcripts that are not translated into proteins. They represent the largest portion of the human transcriptome and have been shown to regulate gene expression networks in both physiological and pathological cell conditions. Research in this field has made remarkable progress in the comprehension of how aberrations in noncoding RNA drive relevant disease-associated phenotypes; however, the biological role and mechanism of action of several noncoding RNAs still need full understanding. Besides fulfilling its function through sequence-based mechanisms, RNA can form complex secondary and tertiary structures which allow non-canonical interactions with proteins and/or other nucleic acids. In this context, the presence of G-quadruplexes in microRNAs and long noncoding RNAs is increasingly being reported. This evidence suggests a role for RNA G-quadruplexes in controlling microRNA biogenesis and mediating noncoding RNA interaction with biological partners, thus ultimately regulating gene expression. Here, we review the state of the art of G-quadruplexes in the noncoding transcriptome, with their structural and functional characterization. In light of the existence and further possible development of G-quadruplex binders that modulate G-quadruplex conformation and protein interactions, we also discuss the therapeutic potential of G-quadruplexes as targets to interfere with disease-associated noncoding RNAs.
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Affiliation(s)
- Martina Tassinari
- Department of Biosciences, University of Milan, via G. Celoria 26, 20133 Milano, Italy
| | - Sara N Richter
- Department of Molecular Medicine, University of Padua, via A. Gabelli 63, 35121 Padova, Italy
| | - Paolo Gandellini
- Department of Biosciences, University of Milan, via G. Celoria 26, 20133 Milano, Italy
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35
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Abstract
The subcellular localization of RNAs correlates with their function and how they are regulated. Most protein-coding mRNAs are exported into the cytoplasm for protein synthesis, while some mRNA species, long noncoding RNAs, and some regulatory element-associated unstable transcripts tend to be retained in the nucleus, where they function as a regulatory unit and/or are regulated by nuclear surveillance pathways. While the mechanisms regulating mRNA export and localization have been well summarized, the mechanisms governing nuclear retention of RNAs, especially of noncoding RNAs, are seldomly reviewed. In this review, we summarize recent advances in the mechanistic study of RNA nuclear retention, especially for noncoding RNAs, from the angle of cis-acting elements embedded in RNA transcripts and their interaction with trans-acting factors. We also try to illustrate the general principles of RNA nuclear retention and we discuss potential areas for future investigation.
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Affiliation(s)
- Chong Tong
- Department of Cell Biology and Department of Cardiology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yafei Yin
- Department of Cell Biology and Department of Cardiology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
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36
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Lin Y, Pan X, Shen HB. lncLocator 2.0: a cell-line-specific subcellular localization predictor for long non-coding RNAs with interpretable deep learning. Bioinformatics 2021; 37:2308-2316. [PMID: 33630066 DOI: 10.1093/bioinformatics/btab127] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 01/26/2021] [Accepted: 02/23/2021] [Indexed: 12/14/2022] Open
Abstract
MOTIVATION Long non-coding RNAs (lncRNAs) are generally expressed in a tissue-specific way, and subcellular localizations of lncRNAs depend on the tissues or cell lines that they are expressed. Previous computational methods for predicting subcellular localizations of lncRNAs do not take this characteristic into account, they train a unified machine learning model for pooled lncRNAs from all available cell lines. It is of importance to develop a cell-line-specific computational method to predict lncRNA locations in different cell lines. RESULTS In this study, we present an updated cell-line-specific predictor lncLocator 2.0, which trains an end-to-end deep model per cell line, for predicting lncRNA subcellular localization from sequences.We first construct benchmark datasets of lncRNA subcellular localizations for 15 cell lines. Then we learn word embeddings using natural language models, and these learned embeddings are fed into convolutional neural network, long short-term memory and multilayer perceptron to classify subcellular localizations. lncLocator 2.0 achieves varying effectiveness for different cell lines and demonstrates the necessity of training cell-line-specific models. Furthermore, we adopt Integrated Gradients to explain the proposed model in lncLocator 2.0, and find some potential patterns that determine the subcellular localizations of lncRNAs, suggesting that the subcellular localization of lncRNAs is linked to some specific nucleotides. AVAILABILITY The lncLocator 2.0 is available at www.csbio.sjtu.edu.cn/bioinf/lncLocator2 and the source code can be found at https://github.com/Yang-J-LIN/lncLocator2. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Yang Lin
- Department of Automation, Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Xiaoyong Pan
- Department of Automation, Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Hong-Bin Shen
- Department of Automation, Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, 200240, China
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37
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Bridges MC, Daulagala AC, Kourtidis A. LNCcation: lncRNA localization and function. J Cell Biol 2021; 220:e202009045. [PMID: 33464299 PMCID: PMC7816648 DOI: 10.1083/jcb.202009045] [Citation(s) in RCA: 911] [Impact Index Per Article: 227.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 12/20/2020] [Accepted: 12/23/2020] [Indexed: 12/13/2022] Open
Abstract
Subcellular localization of RNAs has gained attention in recent years as a prevalent phenomenon that influences numerous cellular processes. This is also evident for the large and relatively novel class of long noncoding RNAs (lncRNAs). Because lncRNAs are defined as RNA transcripts >200 nucleotides that do not encode protein, they are themselves the functional units, making their subcellular localization critical to their function. The discovery of tens of thousands of lncRNAs and the cumulative evidence involving them in almost every cellular activity render assessment of their subcellular localization essential to fully understanding their biology. In this review, we summarize current knowledge of lncRNA subcellular localization, factors controlling their localization, emerging themes, including the role of lncRNA isoforms and the involvement of lncRNAs in phase separation bodies, and the implications of lncRNA localization on their function and on cellular behavior. We also discuss gaps in the current knowledge as well as opportunities that these provide for novel avenues of investigation.
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Affiliation(s)
| | | | - Antonis Kourtidis
- Department of Regenerative Medicine and Cell Biology, Medical University of South Carolina, Charleston, SC
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Constanty F, Shkumatava A. lncRNAs in development and differentiation: from sequence motifs to functional characterization. Development 2021; 148:148/1/dev182741. [PMID: 33441380 DOI: 10.1242/dev.182741] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The number of long noncoding RNAs (lncRNAs) with characterized developmental and cellular functions continues to increase, but our understanding of the molecular mechanisms underlying lncRNA functions, and how they are dictated by RNA sequences, remains limited. Relatively short, conserved sequence motifs embedded in lncRNA transcripts are often important determinants of lncRNA localization, stability and interactions. Identifying such RNA motifs remains challenging due to the substantial length of lncRNA transcripts and the rapid evolutionary turnover of lncRNA sequences. Nevertheless, the recent discovery of specific RNA elements, together with their experimental interrogation, has enabled the first step in classifying heterogeneous lncRNAs into sub-groups with similar molecular mechanisms and functions. In this Review, we focus on lncRNAs with roles in development, cell differentiation and normal physiology in vertebrates, and we discuss the sequence elements defining their functions. We also summarize progress on the discovery of regulatory RNA sequence elements, as well as their molecular functions and interaction partners.
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Affiliation(s)
- Florian Constanty
- Institut Curie, PSL Research University, CNRS UMR3215, INSERM U934, Paris 75005, France
| | - Alena Shkumatava
- Institut Curie, PSL Research University, CNRS UMR3215, INSERM U934, Paris 75005, France
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Etchegaray E, Naville M, Volff JN, Haftek-Terreau Z. Transposable element-derived sequences in vertebrate development. Mob DNA 2021; 12:1. [PMID: 33407840 PMCID: PMC7786948 DOI: 10.1186/s13100-020-00229-5] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 12/15/2020] [Indexed: 12/14/2022] Open
Abstract
Transposable elements (TEs) are major components of all vertebrate genomes that can cause deleterious insertions and genomic instability. However, depending on the specific genomic context of their insertion site, TE sequences can sometimes get positively selected, leading to what are called "exaptation" events. TE sequence exaptation constitutes an important source of novelties for gene, genome and organism evolution, giving rise to new regulatory sequences, protein-coding exons/genes and non-coding RNAs, which can play various roles beneficial to the host. In this review, we focus on the development of vertebrates, which present many derived traits such as bones, adaptive immunity and a complex brain. We illustrate how TE-derived sequences have given rise to developmental innovations in vertebrates and how they thereby contributed to the evolutionary success of this lineage.
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Affiliation(s)
- Ema Etchegaray
- Institut de Genomique Fonctionnelle de Lyon, Univ Lyon, CNRS UMR 5242, Ecole Normale Superieure de Lyon, Universite Claude Bernard Lyon 1, 46 allee d'Italie, F-69364, Lyon, France.
| | - Magali Naville
- Institut de Genomique Fonctionnelle de Lyon, Univ Lyon, CNRS UMR 5242, Ecole Normale Superieure de Lyon, Universite Claude Bernard Lyon 1, 46 allee d'Italie, F-69364, Lyon, France
| | - Jean-Nicolas Volff
- Institut de Genomique Fonctionnelle de Lyon, Univ Lyon, CNRS UMR 5242, Ecole Normale Superieure de Lyon, Universite Claude Bernard Lyon 1, 46 allee d'Italie, F-69364, Lyon, France
| | - Zofia Haftek-Terreau
- Institut de Genomique Fonctionnelle de Lyon, Univ Lyon, CNRS UMR 5242, Ecole Normale Superieure de Lyon, Universite Claude Bernard Lyon 1, 46 allee d'Italie, F-69364, Lyon, France
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40
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Xue L, Wu H, Chen Y, Li X, Hou J, Lu J, Wei S, Dai X, Olson MS, Liu J, Wang M, Charlesworth D, Yin T. Evidences for a role of two Y-specific genes in sex determination in Populus deltoides. Nat Commun 2020; 11:5893. [PMID: 33208755 PMCID: PMC7674411 DOI: 10.1038/s41467-020-19559-2] [Citation(s) in RCA: 63] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 10/16/2020] [Indexed: 01/04/2023] Open
Abstract
Almost all plants in the genus Populus are dioecious (i.e. trees are either male or female), but it is unknown whether dioecy evolved in a common ancestor or independently in different subgenera. Here, we sequence the small peritelomeric X- and Y-linked regions of P. deltoides chromosome XIX. Two genes are present only in the Y-linked region. One is a duplication of a non-Y-linked, female-specifically expressed response regulator, which produces siRNAs that block this gene's expression, repressing femaleness. The other is an LTR/Gypsy transposable element family member, which generates long non-coding RNAs. Overexpression of this gene in A. thaliana promotes androecium development. We also find both genes in the sex-determining region of P. simonii, a different poplar subgenus, which suggests that they are both stable components of poplar sex-determining systems. By contrast, only the duplicated response regulator gene is present in the sex-linked regions of P. davidiana and P. tremula. Therefore, findings in our study suggest dioecy may have evolved independently in different poplar subgenera.
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Affiliation(s)
- Liangjiao Xue
- The Key Laboratory of Tree Genetic Improvement and Biotechnology of Jiangsu Province and Education Department of China, Nanjing Forestry University, 200137, Nanjing, China
| | - Huaitong Wu
- The Key Laboratory of Tree Genetic Improvement and Biotechnology of Jiangsu Province and Education Department of China, Nanjing Forestry University, 200137, Nanjing, China
| | - Yingnan Chen
- The Key Laboratory of Tree Genetic Improvement and Biotechnology of Jiangsu Province and Education Department of China, Nanjing Forestry University, 200137, Nanjing, China
| | - Xiaoping Li
- The Key Laboratory of Tree Genetic Improvement and Biotechnology of Jiangsu Province and Education Department of China, Nanjing Forestry University, 200137, Nanjing, China
| | - Jing Hou
- The Key Laboratory of Tree Genetic Improvement and Biotechnology of Jiangsu Province and Education Department of China, Nanjing Forestry University, 200137, Nanjing, China
| | - Jing Lu
- The Key Laboratory of Tree Genetic Improvement and Biotechnology of Jiangsu Province and Education Department of China, Nanjing Forestry University, 200137, Nanjing, China
| | - Suyun Wei
- The Key Laboratory of Tree Genetic Improvement and Biotechnology of Jiangsu Province and Education Department of China, Nanjing Forestry University, 200137, Nanjing, China
| | - Xiaogang Dai
- The Key Laboratory of Tree Genetic Improvement and Biotechnology of Jiangsu Province and Education Department of China, Nanjing Forestry University, 200137, Nanjing, China
| | - Matthew S Olson
- Department of Biological Sciences, Texas Tech University, Lubbock, TX, 79409, USA
| | - Jianquan Liu
- Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, 610065, Chengdu, China
| | - Mingxiu Wang
- The Key Laboratory of Tree Genetic Improvement and Biotechnology of Jiangsu Province and Education Department of China, Nanjing Forestry University, 200137, Nanjing, China
| | - Deborah Charlesworth
- Institute of Evolutionary Biology, University of Edinburgh, Charlotte Auerbach Road, Edinburgh, EH9 3FL, UK.
| | - Tongming Yin
- The Key Laboratory of Tree Genetic Improvement and Biotechnology of Jiangsu Province and Education Department of China, Nanjing Forestry University, 200137, Nanjing, China.
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Mechanisms of Long Noncoding RNA Nuclear Retention. Trends Biochem Sci 2020; 45:947-960. [DOI: 10.1016/j.tibs.2020.07.001] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 06/27/2020] [Accepted: 07/15/2020] [Indexed: 12/11/2022]
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Alvarez MEV, Chivers M, Borovska I, Monger S, Giannoulatou E, Kralovicova J, Vorechovsky I. Transposon clusters as substrates for aberrant splice-site activation. RNA Biol 2020; 18:354-367. [PMID: 32965162 PMCID: PMC7951965 DOI: 10.1080/15476286.2020.1805909] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Transposed elements (TEs) have dramatically shaped evolution of the exon-intron structure and significantly contributed to morbidity, but how recent TE invasions into older TEs cooperate in generating new coding sequences is poorly understood. Employing an updated repository of new exon-intron boundaries induced by pathogenic mutations, termed DBASS, here we identify novel TE clusters that facilitated exon selection. To explore the extent to which such TE exons maintain RNA secondary structure of their progenitors, we carried out structural studies with a composite exon that was derived from a long terminal repeat (LTR78) and AluJ and was activated by a C > T mutation optimizing the 5ʹ splice site. Using a combination of SHAPE, DMS and enzymatic probing, we show that the disease-causing mutation disrupted a conserved AluJ stem that evolved from helix 3.3 (or 5b) of 7SL RNA, liberating a primordial GC 5ʹ splice site from the paired conformation for interactions with the spliceosome. The mutation also reduced flexibility of conserved residues in adjacent exon-derived loops of the central Alu hairpin, revealing a cross-talk between traditional and auxilliary splicing motifs that evolved from opposite termini of 7SL RNA and were approximated by Watson-Crick base-pairing already in organisms without spliceosomal introns. We also identify existing Alu exons activated by the same RNA rearrangement. Collectively, these results provide valuable TE exon models for studying formation and kinetics of pre-mRNA building blocks required for splice-site selection and will be useful for fine-tuning auxilliary splicing motifs and exon and intron size constraints that govern aberrant splice-site activation.
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Affiliation(s)
| | - Martin Chivers
- School of Medicine, University of Southampton, Southampton, UK
| | - Ivana Borovska
- Slovak Academy of Sciences, Institute of Molecular Physiology and Genetics, Bratislava, Slovak Republic
| | - Steven Monger
- Computational Genomics Laboratory, Victor Chang Cardiac Research Institute, Darlinghurst, Australia
| | - Eleni Giannoulatou
- Computational Genomics Laboratory, Victor Chang Cardiac Research Institute, Darlinghurst, Australia.,St. Vincent's Clinical School, University of New South Wales, Sydney, Australia
| | - Jana Kralovicova
- School of Medicine, University of Southampton, Southampton, UK.,Slovak Academy of Sciences, Institute of Molecular Physiology and Genetics, Bratislava, Slovak Republic
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43
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Fort V, Khelifi G, Hussein SMI. Long non-coding RNAs and transposable elements: A functional relationship. BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR CELL RESEARCH 2020; 1868:118837. [PMID: 32882261 DOI: 10.1016/j.bbamcr.2020.118837] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 07/29/2020] [Accepted: 08/27/2020] [Indexed: 12/30/2022]
Abstract
Long non-coding RNAs (lncRNAs) have become increasingly important in the past decade. They are known to regulate gene expression and to interact with chromatin, proteins and other coding and non-coding RNAs. The study of lncRNAs has been challenging due to their low expression and the lack of tools developed to adapt to their particular features. Studies on lncRNAs performed to date have largely focused on cellular functions, whereas details on the mechanism of action has only been thoroughly investigated for a small number of lncRNAs. Nevertheless, some studies have highlighted the potential of these transcripts to contain functional domains, following the same accepted trend as proteins. Interestingly, many of these identified "domains" are attributed to functional units derived from transposable elements. Here, we review several types of functions of lncRNAs and relate these functions to lncRNA-embedded transposable elements.
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Affiliation(s)
- Victoire Fort
- Laval University Cancer Research Centre, Canada; Research Center of the CHU of Québec, Laval University, Québec G1R 3S3, Canada
| | - Gabriel Khelifi
- Laval University Cancer Research Centre, Canada; Research Center of the CHU of Québec, Laval University, Québec G1R 3S3, Canada
| | - Samer M I Hussein
- Laval University Cancer Research Centre, Canada; Research Center of the CHU of Québec, Laval University, Québec G1R 3S3, Canada.
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44
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Ke L, Yang DC, Wang Y, Ding Y, Gao G. AnnoLnc2: the one-stop portal to systematically annotate novel lncRNAs for human and mouse. Nucleic Acids Res 2020; 48:W230-W238. [PMID: 32406920 PMCID: PMC7319567 DOI: 10.1093/nar/gkaa368] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 04/21/2020] [Accepted: 04/29/2020] [Indexed: 12/15/2022] Open
Abstract
With the abundant mammalian lncRNAs identified recently, a comprehensive annotation resource for these novel lncRNAs is an urgent need. Since its first release in November 2016, AnnoLnc has been the only online server for comprehensively annotating novel human lncRNAs on-the-fly. Here, with significant updates to multiple annotation modules, backend datasets and the code base, AnnoLnc2 continues the effort to provide the scientific community with a one-stop online portal for systematically annotating novel human and mouse lncRNAs with a comprehensive functional spectrum covering sequences, structure, expression, regulation, genetic association and evolution. In response to numerous requests from multiple users, a standalone package is also provided for large-scale offline analysis. We believe that updated AnnoLnc2 (http://annolnc.gao-lab.org/) will help both computational and bench biologists identify lncRNA functions and investigate underlying mechanisms.
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Affiliation(s)
- Lan Ke
- School of Life Sciences, Biomedical Pioneering Innovation Center (BIOPIC) & Beijing Advanced Innovation Center for Genomics (ICG), Center for Bioinformatics (CBI) and State Key Laboratory of Protein and Plant Gene Research, Peking University, Beijing 100871, China
| | - De-Chang Yang
- School of Life Sciences, Biomedical Pioneering Innovation Center (BIOPIC) & Beijing Advanced Innovation Center for Genomics (ICG), Center for Bioinformatics (CBI) and State Key Laboratory of Protein and Plant Gene Research, Peking University, Beijing 100871, China
| | - Yu Wang
- School of Life Sciences, Biomedical Pioneering Innovation Center (BIOPIC) & Beijing Advanced Innovation Center for Genomics (ICG), Center for Bioinformatics (CBI) and State Key Laboratory of Protein and Plant Gene Research, Peking University, Beijing 100871, China
| | - Yang Ding
- Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Ge Gao
- School of Life Sciences, Biomedical Pioneering Innovation Center (BIOPIC) & Beijing Advanced Innovation Center for Genomics (ICG), Center for Bioinformatics (CBI) and State Key Laboratory of Protein and Plant Gene Research, Peking University, Beijing 100871, China
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45
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Gene Architecture and Sequence Composition Underpin Selective Dependency of Nuclear Export of Long RNAs on NXF1 and the TREX Complex. Mol Cell 2020; 79:251-267.e6. [PMID: 32504555 DOI: 10.1016/j.molcel.2020.05.013] [Citation(s) in RCA: 90] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Revised: 03/23/2020] [Accepted: 05/11/2020] [Indexed: 12/14/2022]
Abstract
The core components of the nuclear RNA export pathway are thought to be required for export of virtually all polyadenylated RNAs. Here, we depleted different proteins that act in nuclear export in human cells and quantified the transcriptome-wide consequences on RNA localization. Different genes exhibited substantially variable sensitivities, with depletion of NXF1 and TREX components causing some transcripts to become strongly retained in the nucleus while others were not affected. Specifically, NXF1 is preferentially required for export of single- or few-exon transcripts with long exons or high A/U content, whereas depletion of TREX complex components preferentially affects spliced and G/C-rich transcripts. Using massively parallel reporter assays, we identified short sequence elements that render transcripts dependent on NXF1 for their export and identified synergistic effects of splicing and NXF1. These results revise the current model of how nuclear export shapes the distribution of RNA within human cells.
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46
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Zhao Y, Teng H, Yao F, Yap S, Sun Y, Ma L. Challenges and Strategies in Ascribing Functions to Long Noncoding RNAs. Cancers (Basel) 2020; 12:cancers12061458. [PMID: 32503290 PMCID: PMC7352683 DOI: 10.3390/cancers12061458] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2020] [Revised: 05/31/2020] [Accepted: 06/01/2020] [Indexed: 12/16/2022] Open
Abstract
Long noncoding RNAs (lncRNAs) are involved in many physiological and pathological processes, such as development, aging, immunity, and cancer. Mechanistically, lncRNAs exert their functions through interaction with proteins, genomic DNA, and other RNA, leading to transcriptional and post-transcriptional regulation of gene expression, either in cis or in trans; it is often difficult to distinguish between these two regulatory mechanisms. A variety of approaches, including RNA interference, antisense oligonucleotides, CRISPR-based methods, and genetically engineered mouse models, have yielded abundant information about lncRNA functions and underlying mechanisms, albeit with many discrepancies. In this review, we elaborate on the challenges in ascribing functions to lncRNAs based on the features of lncRNAs, including the genomic location, copy number, domain structure, subcellular localization, stability, evolution, and expression pattern. We also describe a framework for the investigation of lncRNA functions and mechanisms of action. Rigorous characterization of cancer-implicated lncRNAs is critical for the identification of bona fide anticancer targets.
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Affiliation(s)
- Yang Zhao
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (Y.Z.); (H.T.); (F.Y.); (S.Y.)
| | - Hongqi Teng
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (Y.Z.); (H.T.); (F.Y.); (S.Y.)
| | - Fan Yao
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (Y.Z.); (H.T.); (F.Y.); (S.Y.)
| | - Shannon Yap
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (Y.Z.); (H.T.); (F.Y.); (S.Y.)
| | - Yutong Sun
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA;
| | - Li Ma
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (Y.Z.); (H.T.); (F.Y.); (S.Y.)
- UTHealth Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Correspondence: ; Tel.: +1-713-792-6590
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Fazal FM, Chang HY. Subcellular Spatial Transcriptomes: Emerging Frontier for Understanding Gene Regulation. COLD SPRING HARBOR SYMPOSIA ON QUANTITATIVE BIOLOGY 2020; 84:31-45. [PMID: 32482897 PMCID: PMC7426137 DOI: 10.1101/sqb.2019.84.040352] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
RNAs are trafficked and localized with exquisite precision inside the cell. Studies of candidate messenger RNAs have shown the vital importance of RNA subcellular location in development and cellular function. New sequencing- and imaging-based methods are providing complementary insights into subcellular localization of RNAs transcriptome-wide. APEX-seq and ribosome profiling as well as proximity-labeling approaches have revealed thousands of transcript isoforms are localized to distinct cytotopic locations, including locations that defy biochemical fractionation and hence were missed by prior studies. Sequences in the 3' and 5' untranslated regions (UTRs) serve as "zip codes" to direct transcripts to particular locales, and it is clear that intronic and retrotransposable sequences within transcripts have been co-opted by cells to control localization. Molecular motors, nuclear-to-cytosol RNA export, liquid-liquid phase separation, RNA modifications, and RNA structure dynamically shape the subcellular transcriptome. Location-based RNA regulation continues to pose new mysteries for the field, yet promises to reveal insights into fundamental cell biology and disease mechanisms.
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Affiliation(s)
- Furqan M Fazal
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, California 94305, USA
| | - Howard Y Chang
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, California 94305, USA
- Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, California 94305, USA
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48
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Garland W, Jensen TH. Nuclear sorting of RNA. WILEY INTERDISCIPLINARY REVIEWS-RNA 2019; 11:e1572. [PMID: 31713323 DOI: 10.1002/wrna.1572] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 09/30/2019] [Accepted: 10/08/2019] [Indexed: 12/27/2022]
Abstract
The majority of the mammalian genome is transcribed by RNA polymerase II, yielding a vast amount of noncoding RNA (ncRNA) in addition to the standard production of mRNA. The typical nuclear biogenesis of mRNA relies on the tightly controlled coupling of co- and post-transcriptional processing events, which ultimately results in the export of transcripts into the cytoplasm. These processes are subject to surveillance by nuclear RNA decay pathways to prevent the export of aberrant, or otherwise "non-optimal," transcripts. However, unlike mRNA, many long ncRNAs are nuclear retained and those that maintain enduring functions must employ precautions to evade decay. Proper sorting and localization of RNA is therefore an essential activity in eukaryotic cells and the formation of ribonucleoprotein complexes during early stages of RNA synthesis is central to deciding such transcript fate. This review details our current understanding of the pathways and factors that direct RNAs towards a particular destiny and how transcripts combat the adverse conditions of the nucleus. This article is categorized under: RNA Export and Localization > Nuclear Export/Import RNA Turnover and Surveillance > Turnover/Surveillance Mechanisms RNA Interactions with Proteins and Other Molecules > Protein-RNA Interactions: Functional Implications.
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Affiliation(s)
- William Garland
- Department of Molecular Biology and Genetics, Aarhus University, Aarhus C., Denmark
| | - Torben Heick Jensen
- Department of Molecular Biology and Genetics, Aarhus University, Aarhus C., Denmark
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Monteiro JP, Bennett M, Rodor J, Caudrillier A, Ulitsky I, Baker AH. Endothelial function and dysfunction in the cardiovascular system: the long non-coding road. Cardiovasc Res 2019; 115:1692-1704. [PMID: 31214683 PMCID: PMC6755355 DOI: 10.1093/cvr/cvz154] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 04/23/2019] [Accepted: 06/05/2019] [Indexed: 12/18/2022] Open
Abstract
Present throughout the vasculature, endothelial cells (ECs) are essential for blood vessel function and play a central role in the pathogenesis of diverse cardiovascular diseases. Understanding the intricate molecular determinants governing endothelial function and dysfunction is essential to develop novel clinical breakthroughs and improve knowledge. An increasing body of evidence demonstrates that long non-coding RNAs (lncRNAs) are active regulators of the endothelial transcriptome and function, providing emerging insights into core questions surrounding EC contributions to pathology, and perhaps the emergence of novel therapeutic opportunities. In this review, we discuss this class of non-coding transcripts and their role in endothelial biology during cardiovascular development, homeostasis, and disease, highlighting challenges during discovery and characterization and how these have been overcome to date. We further discuss the translational therapeutic implications and the challenges within the field, highlighting lncRNA that support endothelial phenotypes prevalent in cardiovascular disease.
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Affiliation(s)
- João P Monteiro
- Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, 47 Little France Crescent, Edinburgh, UK
| | - Matthew Bennett
- Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, 47 Little France Crescent, Edinburgh, UK
| | - Julie Rodor
- Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, 47 Little France Crescent, Edinburgh, UK
| | - Axelle Caudrillier
- Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, 47 Little France Crescent, Edinburgh, UK
| | - Igor Ulitsky
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel
| | - Andrew H Baker
- Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, 47 Little France Crescent, Edinburgh, UK
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50
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Avgan N, Wang JI, Fernandez-Chamorro J, Weatheritt RJ. Multilayered control of exon acquisition permits the emergence of novel forms of regulatory control. Genome Biol 2019; 20:141. [PMID: 31315652 PMCID: PMC6637531 DOI: 10.1186/s13059-019-1757-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Accepted: 07/09/2019] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND The long introns of mammals are pools of evolutionary potential due to the multiplicity of sequences that permit the acquisition of novel exons. However, the permissibility of genes to this type of acquisition and its influence on the evolution of cell regulation is poorly understood. RESULTS Here, we observe that human genes are highly permissive to the inclusion of novel exonic regions permitting the emergence of novel regulatory features. Our analysis reveals the potential for novel exon acquisition to occur in over 30% of evaluated human genes. Regulatory processes including the rate of splicing efficiency and RNA polymerase II (RNAPII) elongation control this process by modulating the "window of opportunity" for spliceosomal recognition. DNA damage alters this window promoting the inclusion of repeat-derived novel exons that reduce the ribosomal engagement of cell cycle genes. Finally, we demonstrate that the inclusion of novel exons is suppressed in hematological cancer samples and can be reversed by drugs modulating the rate of RNAPII elongation. CONCLUSION Our work demonstrates that the inclusion of repeat-associated novel intronic regions is a tightly controlled process capable of expanding the regulatory capacity of cells.
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Affiliation(s)
- Nesli Avgan
- EMBL Australia, Garvan Institute of Medical Research, Sydney, NSW, 2010, Australia
| | - Juli I Wang
- EMBL Australia, Garvan Institute of Medical Research, Sydney, NSW, 2010, Australia
- St. Vincent's Clinical School, University of New South Wales, Sydney, NSW, 2010, Australia
| | | | - Robert J Weatheritt
- EMBL Australia, Garvan Institute of Medical Research, Sydney, NSW, 2010, Australia.
- St. Vincent's Clinical School, University of New South Wales, Sydney, NSW, 2010, Australia.
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