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Targeted sequencing reveals expanded genetic diversity of human transfer RNAs

Transfer RNAs are required to translate genetic information into proteins as well as regulate other cellular processes. Nucleotide changes in tRNAs can result in loss or gain of function that impact the composition and fidelity of the proteome. Despite links between tRNA variation and disease, the i...

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Autores principales: Berg, Matthew D., Giguere, Daniel J., Dron, Jacqueline S., Lant, Jeremy T., Genereaux, Julie, Liao, Calwing, Wang, Jian, Robinson, John F., Gloor, Gregory B., Hegele, Robert A., O’Donoghue, Patrick, Brandl, Christopher J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6779403/
https://www.ncbi.nlm.nih.gov/pubmed/31407949
http://dx.doi.org/10.1080/15476286.2019.1646079
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author Berg, Matthew D.
Giguere, Daniel J.
Dron, Jacqueline S.
Lant, Jeremy T.
Genereaux, Julie
Liao, Calwing
Wang, Jian
Robinson, John F.
Gloor, Gregory B.
Hegele, Robert A.
O’Donoghue, Patrick
Brandl, Christopher J.
author_facet Berg, Matthew D.
Giguere, Daniel J.
Dron, Jacqueline S.
Lant, Jeremy T.
Genereaux, Julie
Liao, Calwing
Wang, Jian
Robinson, John F.
Gloor, Gregory B.
Hegele, Robert A.
O’Donoghue, Patrick
Brandl, Christopher J.
author_sort Berg, Matthew D.
collection PubMed
description Transfer RNAs are required to translate genetic information into proteins as well as regulate other cellular processes. Nucleotide changes in tRNAs can result in loss or gain of function that impact the composition and fidelity of the proteome. Despite links between tRNA variation and disease, the importance of cytoplasmic tRNA variation has been overlooked. Using a custom capture panel, we sequenced 605 human tRNA-encoding genes from 84 individuals. We developed a bioinformatic pipeline that allows more accurate tRNA read mapping and identifies multiple polymorphisms occurring within the same variant. Our analysis identified 522 unique tRNA-encoding sequences that differed from the reference genome from 84 individuals. Each individual had ~66 tRNA variants including nine variants found in less than 5% of our sample group. Variants were identified throughout the tRNA structure with 17% predicted to enhance function. Eighteen anticodon mutants were identified including potentially mistranslating tRNAs; e.g., a tRNA(Ser) that decodes Phe codons. Similar engineered tRNA variants were previously shown to inhibit cell growth, increase apoptosis and induce the unfolded protein response in mammalian cell cultures and chick embryos. Our analysis shows that human tRNA variation has been underestimated. We conclude that the large number of tRNA genes provides a buffer enabling the emergence of variants, some of which could contribute to disease.
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spelling pubmed-67794032019-10-16 Targeted sequencing reveals expanded genetic diversity of human transfer RNAs Berg, Matthew D. Giguere, Daniel J. Dron, Jacqueline S. Lant, Jeremy T. Genereaux, Julie Liao, Calwing Wang, Jian Robinson, John F. Gloor, Gregory B. Hegele, Robert A. O’Donoghue, Patrick Brandl, Christopher J. RNA Biol Research Paper Transfer RNAs are required to translate genetic information into proteins as well as regulate other cellular processes. Nucleotide changes in tRNAs can result in loss or gain of function that impact the composition and fidelity of the proteome. Despite links between tRNA variation and disease, the importance of cytoplasmic tRNA variation has been overlooked. Using a custom capture panel, we sequenced 605 human tRNA-encoding genes from 84 individuals. We developed a bioinformatic pipeline that allows more accurate tRNA read mapping and identifies multiple polymorphisms occurring within the same variant. Our analysis identified 522 unique tRNA-encoding sequences that differed from the reference genome from 84 individuals. Each individual had ~66 tRNA variants including nine variants found in less than 5% of our sample group. Variants were identified throughout the tRNA structure with 17% predicted to enhance function. Eighteen anticodon mutants were identified including potentially mistranslating tRNAs; e.g., a tRNA(Ser) that decodes Phe codons. Similar engineered tRNA variants were previously shown to inhibit cell growth, increase apoptosis and induce the unfolded protein response in mammalian cell cultures and chick embryos. Our analysis shows that human tRNA variation has been underestimated. We conclude that the large number of tRNA genes provides a buffer enabling the emergence of variants, some of which could contribute to disease. Taylor & Francis 2019-08-13 /pmc/articles/PMC6779403/ /pubmed/31407949 http://dx.doi.org/10.1080/15476286.2019.1646079 Text en © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. http://creativecommons.org/licenses/by/4.0/ 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 use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Paper
Berg, Matthew D.
Giguere, Daniel J.
Dron, Jacqueline S.
Lant, Jeremy T.
Genereaux, Julie
Liao, Calwing
Wang, Jian
Robinson, John F.
Gloor, Gregory B.
Hegele, Robert A.
O’Donoghue, Patrick
Brandl, Christopher J.
Targeted sequencing reveals expanded genetic diversity of human transfer RNAs
title Targeted sequencing reveals expanded genetic diversity of human transfer RNAs
title_full Targeted sequencing reveals expanded genetic diversity of human transfer RNAs
title_fullStr Targeted sequencing reveals expanded genetic diversity of human transfer RNAs
title_full_unstemmed Targeted sequencing reveals expanded genetic diversity of human transfer RNAs
title_short Targeted sequencing reveals expanded genetic diversity of human transfer RNAs
title_sort targeted sequencing reveals expanded genetic diversity of human transfer rnas
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6779403/
https://www.ncbi.nlm.nih.gov/pubmed/31407949
http://dx.doi.org/10.1080/15476286.2019.1646079
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