251
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Zhang Y, Zhang X, Shi J, Tuorto F, Li X, Liu Y, Liebers R, Zhang L, Qu Y, Qian J, Pahima M, Liu Y, Yan M, Cao Z, Lei X, Cao Y, Peng H, Liu S, Wang Y, Zheng H, Woolsey R, Quilici D, Zhai Q, Li L, Zhou T, Yan W, Lyko F, Zhang Y, Zhou Q, Duan E, Chen Q. Dnmt2 mediates intergenerational transmission of paternally acquired metabolic disorders through sperm small non-coding RNAs. Nat Cell Biol 2018; 20:535-540. [PMID: 29695786 PMCID: PMC5926820 DOI: 10.1038/s41556-018-0087-2] [Citation(s) in RCA: 275] [Impact Index Per Article: 45.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2017] [Accepted: 03/19/2018] [Indexed: 12/29/2022]
Abstract
The discovery of RNAs (for example, messenger RNAs, non-coding RNAs) in sperm has opened the possibility that sperm may function by delivering additional paternal information aside from solely providing the DNA 1 . Increasing evidence now suggests that sperm small non-coding RNAs (sncRNAs) can mediate intergenerational transmission of paternally acquired phenotypes, including mental stress2,3 and metabolic disorders4-6. How sperm sncRNAs encode paternal information remains unclear, but the mechanism may involve RNA modifications. Here we show that deletion of a mouse tRNA methyltransferase, DNMT2, abolished sperm sncRNA-mediated transmission of high-fat-diet-induced metabolic disorders to offspring. Dnmt2 deletion prevented the elevation of RNA modifications (m5C, m2G) in sperm 30-40 nt RNA fractions that are induced by a high-fat diet. Also, Dnmt2 deletion altered the sperm small RNA expression profile, including levels of tRNA-derived small RNAs and rRNA-derived small RNAs, which might be essential in composing a sperm RNA 'coding signature' that is needed for paternal epigenetic memory. Finally, we show that Dnmt2-mediated m5C contributes to the secondary structure and biological properties of sncRNAs, implicating sperm RNA modifications as an additional layer of paternal hereditary information.
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Affiliation(s)
- Yunfang Zhang
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, NV, USA
- University of Chinese Academy of Sciences, Beijing, China
| | - Xudong Zhang
- Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, NV, USA
| | - Junchao Shi
- Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, NV, USA
| | - Francesca Tuorto
- Division of Epigenetics, DKFZ-ZMBH Alliance, German Cancer Research Center, Heidelberg, Germany
| | - Xin Li
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Yusheng Liu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Reinhard Liebers
- Division of Epigenetics, DKFZ-ZMBH Alliance, German Cancer Research Center, Heidelberg, Germany
| | - Liwen Zhang
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yongcun Qu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Jingjing Qian
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Maya Pahima
- Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, NV, USA
| | - Ying Liu
- Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, NV, USA
| | - Menghong Yan
- Key Laboratory of Nutrition and Metabolism, Chinese Academy of Sciences Center for Excellence in Molecular Cell Science, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Zhonghong Cao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences, Shandong University of Technology, Zibo, China
| | - Xiaohua Lei
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Yujing Cao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Hongying Peng
- Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, NV, USA
| | - Shichao Liu
- Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, NV, USA
| | - Yue Wang
- Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, NV, USA
| | - Huili Zheng
- Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, NV, USA
| | - Rebekah Woolsey
- Nevada Proteomics Center, University of Nevada, Reno School of Medicine, Reno, NV, USA
| | - David Quilici
- Nevada Proteomics Center, University of Nevada, Reno School of Medicine, Reno, NV, USA
| | - Qiwei Zhai
- Key Laboratory of Nutrition and Metabolism, Chinese Academy of Sciences Center for Excellence in Molecular Cell Science, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Lei Li
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Tong Zhou
- Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, NV, USA
| | - Wei Yan
- Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, NV, USA
| | - Frank Lyko
- Division of Epigenetics, DKFZ-ZMBH Alliance, German Cancer Research Center, Heidelberg, Germany
| | - Ying Zhang
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
| | - Qi Zhou
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
| | - Enkui Duan
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
| | - Qi Chen
- Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, NV, USA.
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252
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Zhang Y, Zhang X, Shi J, Tuorto F, Li X, Liu Y, Liebers R, Zhang L, Qu Y, Qian J, Pahima M, Liu Y, Yan M, Cao Z, Lei X, Cao Y, Peng H, Liu S, Wang Y, Zheng H, Woolsey R, Quilici D, Zhai Q, Li L, Zhou T, Yan W, Lyko F, Zhang Y, Zhou Q, Duan E, Chen Q. Dnmt2 mediates intergenerational transmission of paternally acquired metabolic disorders through sperm small non-coding RNAs. Nat Cell Biol 2018. [DOI: doi.org/10.1038/s41556-018-0087-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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253
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Angelova MT, Dimitrova DG, Dinges N, Lence T, Worpenberg L, Carré C, Roignant JY. The Emerging Field of Epitranscriptomics in Neurodevelopmental and Neuronal Disorders. Front Bioeng Biotechnol 2018; 6:46. [PMID: 29707539 PMCID: PMC5908907 DOI: 10.3389/fbioe.2018.00046] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Accepted: 03/29/2018] [Indexed: 01/19/2023] Open
Abstract
Analogous to DNA methylation and histone modifications, RNA modifications represent a novel layer of regulation of gene expression. The dynamic nature and increasing number of RNA modifications offer new possibilities to rapidly alter gene expression upon specific environmental changes. Recent lines of evidence indicate that modified RNA molecules and associated complexes regulating and “reading” RNA modifications play key roles in the nervous system of several organisms, controlling both, its development and function. Mutations in several human genes that modify transfer RNA (tRNA) have been linked to neurological disorders, in particular to intellectual disability. Loss of RNA modifications alters the stability of tRNA, resulting in reduced translation efficiency and generation of tRNA fragments, which can interfere with neuronal functions. Modifications present on messenger RNAs (mRNAs) also play important roles during brain development. They contribute to neuronal growth and regeneration as well as to the local regulation of synaptic functions. Hence, potential combinatorial effects of RNA modifications on different classes of RNA may represent a novel code to dynamically fine tune gene expression during brain function. Here we discuss the recent findings demonstrating the impact of modified RNAs on neuronal processes and disorders.
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Affiliation(s)
- Margarita T Angelova
- Drosophila Genetics and Epigenetics, Sorbonne Université, Centre National de la Recherche Scientifique, Biologie du Développement-Institut de Biologie Paris Seine, Paris, France
| | - Dilyana G Dimitrova
- Drosophila Genetics and Epigenetics, Sorbonne Université, Centre National de la Recherche Scientifique, Biologie du Développement-Institut de Biologie Paris Seine, Paris, France
| | - Nadja Dinges
- Laboratory of RNA Epigenetics, Institute of Molecular Biology, Mainz, Germany
| | - Tina Lence
- Laboratory of RNA Epigenetics, Institute of Molecular Biology, Mainz, Germany
| | - Lina Worpenberg
- Laboratory of RNA Epigenetics, Institute of Molecular Biology, Mainz, Germany
| | - Clément Carré
- Drosophila Genetics and Epigenetics, Sorbonne Université, Centre National de la Recherche Scientifique, Biologie du Développement-Institut de Biologie Paris Seine, Paris, France
| | - Jean-Yves Roignant
- Laboratory of RNA Epigenetics, Institute of Molecular Biology, Mainz, Germany
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254
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Zhu L, Liu X, Pu W, Peng Y. tRNA-derived small non-coding RNAs in human disease. Cancer Lett 2018; 419:1-7. [DOI: 10.1016/j.canlet.2018.01.015] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Revised: 12/28/2017] [Accepted: 01/08/2018] [Indexed: 01/20/2023]
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255
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Shi J, Ko EA, Sanders KM, Chen Q, Zhou T. SPORTS1.0: A Tool for Annotating and Profiling Non-coding RNAs Optimized for rRNA- and tRNA-derived Small RNAs. GENOMICS, PROTEOMICS & BIOINFORMATICS 2018; 16:144-151. [PMID: 29730207 PMCID: PMC6112344 DOI: 10.1016/j.gpb.2018.04.004] [Citation(s) in RCA: 87] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/14/2018] [Revised: 03/25/2018] [Accepted: 04/07/2018] [Indexed: 01/07/2023]
Abstract
High-throughput RNA-seq has revolutionized the process of small RNA (sRNA) discovery, leading to a rapid expansion of sRNA categories. In addition to the previously well-characterized sRNAs such as microRNAs (miRNAs), piwi-interacting RNAs (piRNAs), and small nucleolar RNA (snoRNAs), recent emerging studies have spotlighted on tRNA-derived sRNAs (tsRNAs) and rRNA-derived sRNAs (rsRNAs) as new categories of sRNAs that bear versatile functions. Since existing software and pipelines for sRNA annotation are mostly focused on analyzing miRNAs or piRNAs, here we developed the sRNA annotation pipelineoptimized for rRNA- and tRNA-derived sRNAs (SPORTS1.0). SPORTS1.0 is optimized for analyzing tsRNAs and rsRNAs from sRNA-seq data, in addition to its capacity to annotate canonical sRNAs such as miRNAs and piRNAs. Moreover, SPORTS1.0 can predict potential RNA modification sites based on nucleotide mismatches within sRNAs. SPORTS1.0 is precompiled to annotate sRNAs for a wide range of 68 species across bacteria, yeast, plant, and animal kingdoms, while additional species for analyses could be readily expanded upon end users' input. For demonstration, by analyzing sRNA datasets using SPORTS1.0, we reveal that distinct signatures are present in tsRNAs and rsRNAs from different mouse cell types. We also find that compared to other sRNA species, tsRNAs bear the highest mismatch rate, which is consistent with their highly modified nature. SPORTS1.0 is an open-source software and can be publically accessed at https://github.com/junchaoshi/sports1.0.
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Affiliation(s)
- Junchao Shi
- Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, NV 89557, USA.
| | - Eun-A Ko
- Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, NV 89557, USA
| | - Kenton M Sanders
- Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, NV 89557, USA
| | - Qi Chen
- Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, NV 89557, USA.
| | - Tong Zhou
- Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, NV 89557, USA.
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256
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Fine-Tuning of Gene Expression by tRNA-Derived Fragments during Abiotic Stress Signal Transduction. Int J Mol Sci 2018; 19:ijms19020518. [PMID: 29419808 PMCID: PMC5855740 DOI: 10.3390/ijms19020518] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Revised: 01/30/2018] [Accepted: 02/06/2018] [Indexed: 11/17/2022] Open
Abstract
When plants are subjected to unfavorable environmental conditions, overall gene expression in stressed cells is altered from a programmed pattern for normal development to an adaptive pattern for survival. Rapid changes in plant gene expression include production of stress responsive proteins for protection as well as reduction of irrelevant proteins to minimize energy consumption during growth. In addition to the many established mechanisms known to modulate gene expression in eukaryotes, a novel strategy involving tRNA-derived fragments (tRFs) was recently reported to control gene expression. In animals, tRFs are shown to play a certain role in infected or cancer cells. However, tRFs are expected to function in the regulation of gene expression against abiotic stress conditions in plants. Moreover, the underlying mechanism linking up-regulation of tRFs under stress conditions with the stress tolerant response remains unknown. In this review, the biogenesis and putative function of diverse tRFs in abiotic stress signaling are discussed with a focus on tRFs as a transcriptional/post-transcriptional/translational regulator.
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257
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Borges F, Parent JS, van Ex F, Wolff P, Martínez G, Köhler C, Martienssen RA. Transposon-derived small RNAs triggered by miR845 mediate genome dosage response in Arabidopsis. Nat Genet 2018; 50:186-192. [PMID: 29335544 PMCID: PMC5805582 DOI: 10.1038/s41588-017-0032-5] [Citation(s) in RCA: 87] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Accepted: 12/15/2017] [Indexed: 01/08/2023]
Abstract
Chromosome dosage has substantial effects on reproductive isolation and speciation in both plants and animals, but the underlying mechanisms are largely obscure 1 . Transposable elements in animals can regulate hybridity through maternal small RNA 2 , whereas small RNAs in plants have been postulated to regulate dosage response via neighboring imprinted genes3,4. Here we show that a highly conserved microRNA in plants, miR845, targets the tRNAMet primer-binding site (PBS) of long terminal repeat (LTR) retrotransposons in Arabidopsis pollen, and triggers the accumulation of 21-22-nucleotide (nt) small RNAs in a dose-dependent fashion via RNA polymerase IV. We show that these epigenetically activated small interfering RNAs (easiRNAs) mediate hybridization barriers between diploid seed parents and tetraploid pollen parents (the 'triploid block'), and that natural variation for miR845 may account for 'endosperm balance' allowing the formation of triploid seeds. Targeting of the PBS with small RNA is a common mechanism for transposon control in mammals and plants, and provides a uniquely sensitive means to monitor chromosome dosage and imprinting in the developing seed.
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Affiliation(s)
- Filipe Borges
- Howard Hughes Medical Institute, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Jean-Sébastien Parent
- Howard Hughes Medical Institute, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Frédéric van Ex
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
- Bayer CropScience NV, Ghent, Belgium
| | - Philip Wolff
- Department of Plant Biology, Swedish University of Agricultural Sciences and Linnean Center of Plant Biology, Uppsala, Sweden
- John Innes Centre, Norwich, UK
| | - German Martínez
- Department of Plant Biology, Swedish University of Agricultural Sciences and Linnean Center of Plant Biology, Uppsala, Sweden
| | - Claudia Köhler
- Department of Plant Biology, Swedish University of Agricultural Sciences and Linnean Center of Plant Biology, Uppsala, Sweden
| | - Robert A Martienssen
- Howard Hughes Medical Institute, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.
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258
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Platt RN, Vandewege MW, Ray DA. Mammalian transposable elements and their impacts on genome evolution. Chromosome Res 2018; 26:25-43. [PMID: 29392473 PMCID: PMC5857283 DOI: 10.1007/s10577-017-9570-z] [Citation(s) in RCA: 141] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2017] [Revised: 12/12/2017] [Accepted: 12/28/2017] [Indexed: 12/22/2022]
Abstract
Transposable elements (TEs) are genetic elements with the ability to mobilize and replicate themselves in a genome. Mammalian genomes are dominated by TEs, which can reach copy numbers in the hundreds of thousands. As a result, TEs have had significant impacts on mammalian evolution. Here we summarize the current understanding of TE content in mammal genomes and find that, with a few exceptions, most fall within a predictable range of observations. First, one third to one half of the genome is derived from TEs. Second, most mammalian genomes are dominated by LINE and SINE retrotransposons, more limited LTR retrotransposons, and minimal DNA transposon accumulation. Third, most mammal genome contains at least one family of actively accumulating retrotransposon. Finally, horizontal transfer of TEs among lineages is rare. TE exaptation events are being recognized with increasing frequency. Despite these beneficial aspects of TE content and activity, the majority of TE insertions are neutral or deleterious. To limit the deleterious effects of TE proliferation, the genome has evolved several defense mechanisms that act at the epigenetic, transcriptional, and post-transcriptional levels. The interaction between TEs and these defense mechanisms has led to an evolutionary arms race where TEs are suppressed, evolve to escape suppression, then are suppressed again as the defense mechanisms undergo compensatory change. The result is complex and constantly evolving interactions between TEs and host genomes.
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Affiliation(s)
- Roy N Platt
- Department of Biological Sciences, Texas Tech University, Lubbock, TX, USA.
| | | | - David A Ray
- Department of Biological Sciences, Texas Tech University, Lubbock, TX, USA
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259
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Pliatsika V, Loher P, Magee R, Telonis AG, Londin E, Shigematsu M, Kirino Y, Rigoutsos I. MINTbase v2.0: a comprehensive database for tRNA-derived fragments that includes nuclear and mitochondrial fragments from all The Cancer Genome Atlas projects. Nucleic Acids Res 2018; 46:D152-D159. [PMID: 29186503 PMCID: PMC5753276 DOI: 10.1093/nar/gkx1075] [Citation(s) in RCA: 142] [Impact Index Per Article: 23.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2017] [Revised: 10/18/2017] [Accepted: 10/27/2017] [Indexed: 12/16/2022] Open
Abstract
MINTbase is a repository that comprises nuclear and mitochondrial tRNA-derived fragments ('tRFs') found in multiple human tissues. The original version of MINTbase comprised tRFs obtained from 768 transcriptomic datasets. We used our deterministic and exhaustive tRF mining pipeline to process all of The Cancer Genome Atlas datasets (TCGA). We identified 23 413 tRFs with abundance of ≥ 1.0 reads-per-million (RPM). To facilitate further studies of tRFs by the community, we just released version 2.0 of MINTbase that contains information about 26 531 distinct human tRFs from 11 719 human datasets as of October 2017. Key new elements include: the ability to filter tRFs on-the-fly by minimum abundance thresholding; the ability to filter tRFs by tissue keywords; easy access to information about a tRF's maximum abundance and the datasets that contain it; the ability to generate relative abundance plots for tRFs across cancer types and convert them into embeddable figures; MODOMICS information about modifications of the parental tRNA, etc. Version 2.0 of MINTbase contains 15x more datasets and nearly 4x more distinct tRFs than the original version, yet continues to offer fast, interactive access to its contents. Version 2.0 is available freely at http://cm.jefferson.edu/MINTbase/.
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Affiliation(s)
- Venetia Pliatsika
- Computational Medicine Center, Sidney Kimmel Medical College at Thomas Jefferson University, Jefferson Alumni Hall #M81, Thomas Jefferson University, 1020 Locust Street, Philadelphia, PA 19107, USA
| | - Phillipe Loher
- Computational Medicine Center, Sidney Kimmel Medical College at Thomas Jefferson University, Jefferson Alumni Hall #M81, Thomas Jefferson University, 1020 Locust Street, Philadelphia, PA 19107, USA
| | - Rogan Magee
- Computational Medicine Center, Sidney Kimmel Medical College at Thomas Jefferson University, Jefferson Alumni Hall #M81, Thomas Jefferson University, 1020 Locust Street, Philadelphia, PA 19107, USA
| | - Aristeidis G Telonis
- Computational Medicine Center, Sidney Kimmel Medical College at Thomas Jefferson University, Jefferson Alumni Hall #M81, Thomas Jefferson University, 1020 Locust Street, Philadelphia, PA 19107, USA
| | - Eric Londin
- Computational Medicine Center, Sidney Kimmel Medical College at Thomas Jefferson University, Jefferson Alumni Hall #M81, Thomas Jefferson University, 1020 Locust Street, Philadelphia, PA 19107, USA
| | - Megumi Shigematsu
- Computational Medicine Center, Sidney Kimmel Medical College at Thomas Jefferson University, Jefferson Alumni Hall #M81, Thomas Jefferson University, 1020 Locust Street, Philadelphia, PA 19107, USA
| | - Yohei Kirino
- Computational Medicine Center, Sidney Kimmel Medical College at Thomas Jefferson University, Jefferson Alumni Hall #M81, Thomas Jefferson University, 1020 Locust Street, Philadelphia, PA 19107, USA
| | - Isidore Rigoutsos
- Computational Medicine Center, Sidney Kimmel Medical College at Thomas Jefferson University, Jefferson Alumni Hall #M81, Thomas Jefferson University, 1020 Locust Street, Philadelphia, PA 19107, USA
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260
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Kalendar R, Amenov A, Daniyarov A. Use of retrotransposon-derived genetic markers to analyse genomic variability in plants. FUNCTIONAL PLANT BIOLOGY : FPB 2018; 46:15-29. [PMID: 30939255 DOI: 10.1071/fp18098] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Accepted: 08/23/2018] [Indexed: 06/09/2023]
Abstract
Transposable elements (TEs) are common mobile genetic elements comprising several classes and making up the majority of eukaryotic genomes. The movement and accumulation of TEs has been a major force shaping the genes and genomes of most organisms. Most eukaryotic genomes are dominated by retrotransposons and minimal DNA transposon accumulation. The 'copy and paste' lifecycle of replicative transposition produces new genome insertions without excising the original element. Horizontal TE transfer among lineages is rare. TEs represent a reservoir of potential genomic instability and RNA-level toxicity. Many TEs appear static and nonfunctional, but some are capable of replicating and mobilising to new positions, and somatic transposition events have been observed. The overall structure of retrotransposons and the domains responsible for the phases of their replication are highly conserved in all eukaryotes. TEs are important drivers of species diversity and exhibit great variety in their structure, size and transposition mechanisms, making them important putative actors in evolution. Because TEs are abundant in plant genomes, various applications have been developed to exploit polymorphisms in TE insertion patterns, including conventional or anchored PCR, and quantitative or digital PCR with primers for the 5' or 3' junction. Alternatively, the retrotransposon junction can be mapped using high-throughput next-generation sequencing and bioinformatics. With these applications, TE insertions can be rapidly, easily and accurately identified, or new TE insertions can be found. This review provides an overview of the TE-based applications developed for plant species and assesses the contributions of TEs to the analysis of plants' genetic diversity.
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Affiliation(s)
- Ruslan Kalendar
- Department of Agricultural Sciences, PO Box 27 (Latokartanonkaari 5), FI-00014 University of Helsinki, Helsinki, Finland
| | - Asset Amenov
- RSE 'National Center for Biotechnology', 13/5 Kurgalzhynskoye Road, Astana, 010000, Kazakhstan
| | - Asset Daniyarov
- RSE 'National Center for Biotechnology', 13/5 Kurgalzhynskoye Road, Astana, 010000, Kazakhstan
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261
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Noncoding RNAs in Retrovirus Replication. RETROVIRUS-CELL INTERACTIONS 2018. [PMCID: PMC7173536 DOI: 10.1016/b978-0-12-811185-7.00012-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Although a limited percentage of the genome produces proteins, approximately 90% is transcribed, indicating important roles for noncoding RNA (ncRNA). It is now known that these ncRNAs have a multitude of cellular functions ranging from the regulation of gene expression to roles as structural elements in ribonucleoprotein complexes. ncRNA is also represented at nearly every step of viral life cycles. This chapter will focus on ncRNAs of both host and viral origin and their roles in retroviral life cycles. Cellular ncRNA represents a significant portion of material packaged into retroviral virions and includes transfer RNAs, 7SL RNA, U RNA, and vault RNA. Initially thought to be random packaging events, these host RNAs are now proposed to contribute to viral assembly and infectivity. Within the cell, long ncRNA and endogenous retroviruses have been found to regulate aspects of the retroviral life cycle in diverse ways. Additionally, the HIV-1 transactivating response element RNA is thought to impact viral infection beyond the well-characterized role as a transcription activator. RNA interference, thought to be an early version of the innate immune response to viral infection, can still be observed in plants and invertebrates today. The ability of retroviral infection to manipulate the host RNAi pathway is described here. Finally, RNA-based therapies, including gene editing approaches, are being explored as antiretroviral treatments and are discussed.
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262
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Abstract
Previously believed to be mere random degradation products, tRNA-derived small RNAs have been lately connected to a series of functions that include, surprisingly, genome protection against retrotransposons. tRNAs have been known for a long time to be involved in the replication cycle of retroviruses, pararetroviruses and retrotransposons as primers of their reverse transcription. tRNA-derived small RNAs, as functional small RNAs or as mere tRNA degradation products, have emerged as important players in the regulation of genic transcription. Nevertheless, the involvement of functional sRNAs derived from tRNA transcripts in transposon posttranscriptional control is a regulatory layer that remained elusive until now. Here I review the recent discoveries in the field that connect tRNA-derived small RNAs and retrotransposon control.
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Affiliation(s)
- German Martinez
- a Department of Plant Biology , Swedish University of Agricultural Sciences and Linnean Center for Plant Biology , Uppsala , Sweden
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263
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Chou HJ, Donnard E, Gustafsson HT, Garber M, Rando OJ. Transcriptome-wide Analysis of Roles for tRNA Modifications in Translational Regulation. Mol Cell 2017; 68:978-992.e4. [PMID: 29198561 DOI: 10.1016/j.molcel.2017.11.002] [Citation(s) in RCA: 110] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Revised: 09/19/2017] [Accepted: 10/31/2017] [Indexed: 12/17/2022]
Abstract
Covalent nucleotide modifications in noncoding RNAs affect a plethora of biological processes, and new functions continue to be discovered even for well-known modifying enzymes. To systematically compare the functions of a large set of noncoding RNA modifications in gene regulation, we carried out ribosome profiling in budding yeast to characterize 57 nonessential genes involved in tRNA modification. Deletion mutants exhibited a range of translational phenotypes, with enzymes known to modify anticodons, or non-tRNA substrates such as rRNA, exhibiting the most dramatic translational perturbations. Our data build on prior reports documenting translational upregulation of the nutrient-responsive transcription factor Gcn4 in response to numerous tRNA perturbations, and identify many additional translationally regulated mRNAs throughout the yeast genome. Our data also uncover unexpected roles for tRNA-modifying enzymes in regulation of TY retroelements, and in rRNA 2'-O-methylation. This dataset should provide a rich resource for discovery of additional links between tRNA modifications and gene regulation.
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Affiliation(s)
- Hsin-Jung Chou
- Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA 01605, USA
| | - Elisa Donnard
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA 01605, USA
| | - H Tobias Gustafsson
- Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA 01605, USA
| | - Manuel Garber
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA 01605, USA; Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01605, USA
| | - Oliver J Rando
- Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA 01605, USA.
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264
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Kim HK, Fuchs G, Wang S, Wei W, Zhang Y, Park H, Roy-Chaudhuri B, Li P, Xu J, Chu K, Zhang F, Chua MS, So S, Zhang QC, Sarnow P, Kay MA. A transfer-RNA-derived small RNA regulates ribosome biogenesis. Nature 2017; 552:57-62. [PMID: 29186115 PMCID: PMC6066594 DOI: 10.1038/nature25005] [Citation(s) in RCA: 342] [Impact Index Per Article: 48.9] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Accepted: 11/07/2017] [Indexed: 02/07/2023]
Abstract
tRNA-derived small RNAs (tsRNAs; also called tRNA-derived fragments (tRFs)) are an abundant class of small non-coding RNAs whose biological roles are not well defined. We show that inhibition of a specific tsRNA, LeuCAG3′tsRNA, induces apoptosis in rapidly dividing cells in vitro and in a patient-derived orthotopic hepatocellular carcinoma model in mice. This tsRNA binds at least two ribosomal protein mRNAs (for RPS28 and RPS15) to enhance their translation. Reduction of RPS28 mRNA translation blocks pre-18S ribosomal RNA processing, resulting in a decrease in the number of 40S ribosomal subunits. These data establish another post-transcriptional mechanism that can fine-tune gene expression during different physiological states and provide a potential new target for treating cancer.
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Affiliation(s)
- Hak Kyun Kim
- Department of Pediatrics, Stanford University, Stanford, California 94305, USA.,Department of Genetics, Stanford University, Stanford, California 94305, USA
| | - Gabriele Fuchs
- Department of Microbiology and Immunology, Stanford University, Stanford, California 94305, USA
| | - Shengchun Wang
- Department of Pediatrics, Stanford University, Stanford, California 94305, USA.,Department of Genetics, Stanford University, Stanford, California 94305, USA
| | - Wei Wei
- Asian Liver Center, Department of Surgery, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Yue Zhang
- Department of Pediatrics, Stanford University, Stanford, California 94305, USA.,Department of Genetics, Stanford University, Stanford, California 94305, USA
| | - Hyesuk Park
- Department of Pediatrics, Stanford University, Stanford, California 94305, USA.,Department of Genetics, Stanford University, Stanford, California 94305, USA
| | - Biswajoy Roy-Chaudhuri
- Department of Pediatrics, Stanford University, Stanford, California 94305, USA.,Department of Genetics, Stanford University, Stanford, California 94305, USA
| | - Pan Li
- MOE Key Laboratory of Bioinformatics, Beijing Advanced Innovation Center for Structural Biology, Center for Synthetic and Systems Biology, Tsinghua-Peking Joint Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Jianpeng Xu
- Department of Pediatrics, Stanford University, Stanford, California 94305, USA.,Department of Genetics, Stanford University, Stanford, California 94305, USA
| | - Kirk Chu
- Department of Pediatrics, Stanford University, Stanford, California 94305, USA.,Department of Genetics, Stanford University, Stanford, California 94305, USA
| | - Feijie Zhang
- Department of Pediatrics, Stanford University, Stanford, California 94305, USA.,Department of Genetics, Stanford University, Stanford, California 94305, USA
| | - Mei-Sze Chua
- Asian Liver Center, Department of Surgery, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Samuel So
- Asian Liver Center, Department of Surgery, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Qiangfeng Cliff Zhang
- MOE Key Laboratory of Bioinformatics, Beijing Advanced Innovation Center for Structural Biology, Center for Synthetic and Systems Biology, Tsinghua-Peking Joint Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Peter Sarnow
- Department of Microbiology and Immunology, Stanford University, Stanford, California 94305, USA
| | - Mark A Kay
- Department of Pediatrics, Stanford University, Stanford, California 94305, USA.,Department of Genetics, Stanford University, Stanford, California 94305, USA
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265
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Transfer RNA-derived small RNAs in plants. SCIENCE CHINA-LIFE SCIENCES 2017; 61:155-161. [PMID: 29170889 DOI: 10.1007/s11427-017-9167-5] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Accepted: 07/12/2017] [Indexed: 12/31/2022]
Abstract
Rather than random degradation products, the 18 to 40 nucleotides (nt) transfer RNA-derived small RNAs (tsRNAs) are RNA species generated specifically from pre-RNAs or mature tRNAs in archaea, bacteria and eukaryotes. Recent studies from animal systems have shown that tsRNAs are important non-coding RNAs that regulate gene expression at the transcriptional and/or post-transcriptional levels. They are involved in various biological processes, such as cell proliferation, tumor genesis, stress response and intergenerational epigenetic inheritance. In this review, we will summarize the discovery, biogenesis, and function of tsRNAs in higher plants. In addition, analysis on tsRNAs from lower plants is shown.
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266
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Kincaid RP, Panicker NG, Lozano MM, Sullivan CS, Dudley JP, Mustafa F. MMTV does not encode viral microRNAs but alters the levels of cancer-associated host microRNAs. Virology 2017; 513:180-187. [PMID: 29096160 DOI: 10.1016/j.virol.2017.09.030] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2017] [Revised: 09/27/2017] [Accepted: 09/30/2017] [Indexed: 12/18/2022]
Abstract
Mouse mammary tumor virus (MMTV) induces breast cancer in mice in the absence of known virally-encoded oncogenes. Tumorigenesis by MMTV is thought to occur primarily through insertional mutagenesis, leading to the activation of cellular proto-oncogenes and outgrowth of selected cells. Here we investigated whether MMTV encodes microRNAs (miRNAs) and/or modulates host miRNAs that could contribute to tumorigenesis. High throughput small RNA sequencing analysis of MMTV-infected cells and MMTV-induced mammary tumors demonstrates that MMTV does not encode miRNAs. However, infected tissues have altered levels of several host miRNAs, including increased expression of members of the oncogenic miRNA cluster, miR-17-92. Notably, similar changes in miRNA levels have been previously reported in human breast cancers. Combined, our results demonstrate that virally encoded miRNAs do not contribute to MMTV-mediated tumorigenesis, but that changes in specific host miRNAs in infected cells may contribute to virus replication and tumor biology.
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Affiliation(s)
- Rodney P Kincaid
- Department of Molecular Biosciences, The University of Texas at Austin, 100 East 24th Street, NHB 2.616, Austin, TX, United States of America.
| | - Neena G Panicker
- Department of Biochemistry, College of Medicine and Health Sciences, UAE University, Tawam Hospital Complex, P.O. Box 17666, Al Ain, United Arab Emirates.
| | - Mary M Lozano
- Department of Molecular Biosciences, The University of Texas at Austin, 100 East 24th Street, NHB 2.616, Austin, TX, United States of America.
| | - Christopher S Sullivan
- Department of Molecular Biosciences, The University of Texas at Austin, 100 East 24th Street, NHB 2.616, Austin, TX, United States of America.
| | - Jaquelin P Dudley
- Department of Molecular Biosciences, The University of Texas at Austin, 100 East 24th Street, NHB 2.616, Austin, TX, United States of America.
| | - Farah Mustafa
- Department of Biochemistry, College of Medicine and Health Sciences, UAE University, Tawam Hospital Complex, P.O. Box 17666, Al Ain, United Arab Emirates.
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267
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Martinez G. tRNAs as primers and inhibitors of retrotransposons. Mob Genet Elements 2017; 7:1-6. [PMID: 29201533 DOI: 10.1080/2159256x.2017.1393490] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2017] [Accepted: 10/13/2017] [Indexed: 10/18/2022] Open
Abstract
The functional relationship between tRNAs and retrotransposons have been known for more than 35 years. tRNAs are used as primer molecules to guide the reverse transcription of retrotransposons. Recently, tRNAs have also emerge as important players in the postranscriptional regulation of retrotransposons by means of tRNA-derived small RNAs. This surprisingly new layer of regulation indicates that tRNAs are used both in the promotion and the suppression of the reverse transcription of retrotransposons indicating their primary role in the life cycle of LTR retrotransposons. This adds another level of translational control to tRNAs. Here we review the different known levels of interactions of tRNAs and retrotransposons and highlight the unknown parts of this interaction.
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Affiliation(s)
- German Martinez
- Department of Plant Biology, Uppsala BioCenter, Swedish University of Agricultural Sciences and Linnean Center for Plant Biology, Uppsala, Sweden
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268
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Van Bortle K, Phanstiel DH, Snyder MP. Topological organization and dynamic regulation of human tRNA genes during macrophage differentiation. Genome Biol 2017; 18:180. [PMID: 28931413 PMCID: PMC5607496 DOI: 10.1186/s13059-017-1310-3] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2017] [Accepted: 08/25/2017] [Indexed: 12/11/2022] Open
Abstract
Background The human genome is hierarchically organized into local and long-range structures that help shape cell-type-specific transcription patterns. Transfer RNA (tRNA) genes (tDNAs), which are transcribed by RNA polymerase III (RNAPIII) and encode RNA molecules responsible for translation, are dispersed throughout the genome and, in many cases, linearly organized into genomic clusters with other tDNAs. Whether the location and three-dimensional organization of tDNAs contribute to the activity of these genes has remained difficult to address, due in part to unique challenges related to tRNA sequencing. We therefore devised integrated tDNA expression profiling, a method that combines RNAPIII mapping with biotin-capture of nascent tRNAs. We apply this method to the study of dynamic tRNA gene regulation during macrophage development and further integrate these data with high-resolution maps of 3D chromatin structure. Results Integrated tDNA expression profiling reveals domain-level and loop-based organization of tRNA gene transcription during cellular differentiation. tRNA genes connected by DNA loops, which are proximal to CTCF binding sites and expressed at elevated levels compared to non-loop tDNAs, change coordinately with tDNAs and protein-coding genes at distal ends of interactions mapped by in situ Hi-C. We find that downregulated tRNA genes are specifically marked by enhanced promoter-proximal binding of MAF1, a transcriptional repressor of RNAPIII activity, altogether revealing multiple levels of tDNA regulation during cellular differentiation. Conclusions We present evidence of both local and coordinated long-range regulation of human tDNA expression, suggesting the location and organization of tRNA genes contribute to dynamic tDNA activity during macrophage development. Electronic supplementary material The online version of this article (doi:10.1186/s13059-017-1310-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Kevin Van Bortle
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA
| | - Douglas H Phanstiel
- Department of Cell Biology and Physiology, University of North Carolina, Chapel Hill, NC, 27599, USA.,Thurston Arthritis Research Center and Department of Cell Biology and Physiology, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Michael P Snyder
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA.
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269
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Zhang Y, Shi J, Chen Q. tsRNAs: new players in mammalian retrotransposon control. Cell Res 2017; 27:1307-1308. [PMID: 28840860 DOI: 10.1038/cr.2017.109] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
A recent study led by Professor Rob Martienssen in Cell showed that 3'-tRNA-derived small RNAs can suppress long terminal repeat retrotransposon activity in mammalian cells by mechanisms independent of DNA-associated epigenetic marks, suggesting how the genome may defend itself from retrotransposon invasion during epigenetic reprogramming.
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Affiliation(s)
- Yunfang Zhang
- Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, NV 89512, USA
| | - Junchao Shi
- Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, NV 89512, USA
| | - Qi Chen
- Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, NV 89512, USA
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