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      Matching tRNA modifications in humans to their known and predicted enzymes

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          Abstract

          tRNA are post-transcriptionally modified by chemical modifications that affect all aspects of tRNA biology. An increasing number of mutations underlying human genetic diseases map to genes encoding for tRNA modification enzymes. However, our knowledge on human tRNA-modification genes remains fragmentary and the most comprehensive RNA modification database currently contains information on approximately 20% of human cytosolic tRNAs, primarily based on biochemical studies. Recent high-throughput methods such as DM-tRNA-seq now allow annotation of a majority of tRNAs for six specific base modifications. Furthermore, we identified large gaps in knowledge when we predicted all cytosolic and mitochondrial human tRNA modification genes. Only 48% of the candidate cytosolic tRNA modification enzymes have been experimentally validated in mammals (either directly or in a heterologous system). Approximately 23% of the modification genes (cytosolic and mitochondrial combined) remain unknown. We discuss these ‘unidentified enzymes’ cases in detail and propose candidates whenever possible. Finally, tissue-specific expression analysis shows that modification genes are highly expressed in proliferative tissues like testis and transformed cells, but scarcely in differentiated tissues, with the exception of the cerebellum. Our work provides a comprehensive up to date compilation of human tRNA modifications and their enzymes that can be used as a resource for further studies.

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          The BioGRID interaction database: 2017 update

          The Biological General Repository for Interaction Datasets (BioGRID: https://thebiogrid.org) is an open access database dedicated to the annotation and archival of protein, genetic and chemical interactions for all major model organism species and humans. As of September 2016 (build 3.4.140), the BioGRID contains 1 072 173 genetic and protein interactions, and 38 559 post-translational modifications, as manually annotated from 48 114 publications. This dataset represents interaction records for 66 model organisms and represents a 30% increase compared to the previous 2015 BioGRID update. BioGRID curates the biomedical literature for major model organism species, including humans, with a recent emphasis on central biological processes and specific human diseases. To facilitate network-based approaches to drug discovery, BioGRID now incorporates 27 501 chemical–protein interactions for human drug targets, as drawn from the DrugBank database. A new dynamic interaction network viewer allows the easy navigation and filtering of all genetic and protein interaction data, as well as for bioactive compounds and their established targets. BioGRID data are directly downloadable without restriction in a variety of standardized formats and are freely distributed through partner model organism databases and meta-databases.
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            Biosynthesis and function of posttranscriptional modifications of transfer RNAs.

            Posttranscriptional modifications of transfer RNAs (tRNAs) are critical for all core aspects of tRNA function, such as folding, stability, and decoding. Most tRNA modifications were discovered in the 1970s; however, the near-complete description of the genes required to introduce the full set of modifications in both yeast and Escherichia coli is very recent. This led to a new appreciation of the key roles of tRNA modifications and tRNA modification enzymes as checkpoints for tRNA integrity and for integrating translation with other cellular functions such as transcription, primary metabolism, and stress resistance. A global survey of tRNA modification enzymes shows that the functional constraints that drive the presence of modifications are often conserved, but the solutions used to fulfill these constraints differ among different kingdoms, organisms, and species.
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              Efficient and quantitative high-throughput transfer RNA sequencing

              Despite its biological importance, transfer RNA (tRNA) could not be adequately sequenced by standard methods due to abundant post-transcriptional modifications and stable structure, which interfere with cDNA synthesis. We achieve efficient and quantitative tRNA sequencing using engineered demethylases to remove base methylations and a highly processive thermostable group II intron reverse transcriptase to overcome these obstacles (DM-TGIRT-seq). Our method should be applicable to investigations of tRNA in all organisms.
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                18 March 2019
                30 January 2019
                30 January 2019
                : 47
                : 5
                : 2143-2159
                Affiliations
                [1 ]Department of Microbiology and Cell Sciences, University of Florida, Gainesville, FL 32611, USA
                [2 ]Cancer and Genetic Institute, University of Florida, Gainesville, FL 32611, USA
                [3 ]Laboratory of Bioinformatics and Protein Engineering, International Institute of Molecular and Cell Biology, ul. Trojdena 4, 02-109 Warsaw, Poland
                [4 ]Max Planck Research Group for RNA Biology, Max Planck Institute for Molecular Biomedicine, 48149 Muenster, Germany
                [5 ]Cells-in-Motion Cluster of Excellence, University of Muenster, 48149 Muenster, Germany
                [6 ]Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
                [7 ]Research Group for RNA Biochemistry, Institute of Chemistry and Biochemistry, University of Bern, 3012 Bern, Switzerland
                [8 ]Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University, ul. Umultowska 89, 61-614 Poznań, Poland
                Author notes
                To whom correspondence should be addressed. Tel: +1 352 392 9416; Fax: +1 352 392 5922; Email: vcrecy@ 123456ufl.edu
                Correspondence may also be addressed to Todd Lowe. Tel: +1 831 459 1511; Email: tmjlowe@ 123456ucsc.edu
                Correspondence may also be addressed to Sebastian Leidel. Tel: +41 31 6314296; Email: sebastian.leidel@ 123456dcb.unibe.ch
                Correspondence may also be addressed to Janusz Bujnicki. Tel: +48 22 597 0750; Fax: +48 22 597 0715; Email: iamb@ 123456genesilico.pl
                Present address: Carl G. Mangleburg, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
                Author information
                http://orcid.org/0000-0003-3253-6021
                http://orcid.org/0000-0002-0523-6325
                http://orcid.org/0000-0002-6633-165X
                Article
                gkz011
                10.1093/nar/gkz011
                6412123
                30698754
                96efe102-c983-4745-a198-3feac4fd5476
                © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 10 January 2019
                : 28 December 2018
                : 05 September 2018
                Page count
                Pages: 17
                Funding
                Funded by: National Institutes of Health 10.13039/100000002
                Award ID: GM70641
                Award ID: HG006753
                Funded by: European Research Council 10.13039/501100000781
                Award ID: 310489
                Funded by: German Research Foundation 10.13039/501100001659
                Award ID: SPP 1784
                Funded by: Polish National Science Centre 10.13039/501100004281
                Award ID: 2012/04/A/NZ2/00455
                Categories
                Survey and Summary

                Genetics
                Genetics

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