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Single-read tRNA-seq analysis reveals coordination of tRNA modification and aminoacylation and fragmentation
Transfer RNA (tRNA) utilizes multiple properties of abundance, modification, and aminoacylation in translational regulation. These properties were typically studied one-by-one; however, recent advance in high throughput tRNA sequencing enables their simultaneous assessment in the same sequencing dat...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9943672/ https://www.ncbi.nlm.nih.gov/pubmed/36537222 http://dx.doi.org/10.1093/nar/gkac1185 |
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author | Hernandez-Alias, Xavier Katanski, Christopher D Zhang, Wen Assari, Mahdi Watkins, Christopher P Schaefer, Martin H Serrano, Luis Pan, Tao |
author_facet | Hernandez-Alias, Xavier Katanski, Christopher D Zhang, Wen Assari, Mahdi Watkins, Christopher P Schaefer, Martin H Serrano, Luis Pan, Tao |
author_sort | Hernandez-Alias, Xavier |
collection | PubMed |
description | Transfer RNA (tRNA) utilizes multiple properties of abundance, modification, and aminoacylation in translational regulation. These properties were typically studied one-by-one; however, recent advance in high throughput tRNA sequencing enables their simultaneous assessment in the same sequencing data. How these properties are coordinated at the transcriptome level is an open question. Here, we develop a single-read tRNA analysis pipeline that takes advantage of the pseudo single-molecule nature of tRNA sequencing in NGS libraries. tRNAs are short enough that a single NGS read can represent one tRNA molecule, and can simultaneously report on the status of multiple modifications, aminoacylation, and fragmentation of each molecule. We find correlations among modification-modification, modification-aminoacylation and modification-fragmentation. We identify interdependencies among one of the most common tRNA modifications, m(1)A58, as coordinators of tissue-specific gene expression. Our method, SingLe-read Analysis of Crosstalks (SLAC), reveals tRNAome-wide networks of modifications, aminoacylation, and fragmentation. We observe changes of these networks under different stresses, and assign a function for tRNA modification in translational regulation and fragment biogenesis. SLAC leverages the richness of the tRNA-seq data and provides new insights on the coordination of tRNA properties. |
format | Online Article Text |
id | pubmed-9943672 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-99436722023-02-22 Single-read tRNA-seq analysis reveals coordination of tRNA modification and aminoacylation and fragmentation Hernandez-Alias, Xavier Katanski, Christopher D Zhang, Wen Assari, Mahdi Watkins, Christopher P Schaefer, Martin H Serrano, Luis Pan, Tao Nucleic Acids Res Methods Online Transfer RNA (tRNA) utilizes multiple properties of abundance, modification, and aminoacylation in translational regulation. These properties were typically studied one-by-one; however, recent advance in high throughput tRNA sequencing enables their simultaneous assessment in the same sequencing data. How these properties are coordinated at the transcriptome level is an open question. Here, we develop a single-read tRNA analysis pipeline that takes advantage of the pseudo single-molecule nature of tRNA sequencing in NGS libraries. tRNAs are short enough that a single NGS read can represent one tRNA molecule, and can simultaneously report on the status of multiple modifications, aminoacylation, and fragmentation of each molecule. We find correlations among modification-modification, modification-aminoacylation and modification-fragmentation. We identify interdependencies among one of the most common tRNA modifications, m(1)A58, as coordinators of tissue-specific gene expression. Our method, SingLe-read Analysis of Crosstalks (SLAC), reveals tRNAome-wide networks of modifications, aminoacylation, and fragmentation. We observe changes of these networks under different stresses, and assign a function for tRNA modification in translational regulation and fragment biogenesis. SLAC leverages the richness of the tRNA-seq data and provides new insights on the coordination of tRNA properties. Oxford University Press 2022-12-20 /pmc/articles/PMC9943672/ /pubmed/36537222 http://dx.doi.org/10.1093/nar/gkac1185 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Online Hernandez-Alias, Xavier Katanski, Christopher D Zhang, Wen Assari, Mahdi Watkins, Christopher P Schaefer, Martin H Serrano, Luis Pan, Tao Single-read tRNA-seq analysis reveals coordination of tRNA modification and aminoacylation and fragmentation |
title | Single-read tRNA-seq analysis reveals coordination of tRNA modification and aminoacylation and fragmentation |
title_full | Single-read tRNA-seq analysis reveals coordination of tRNA modification and aminoacylation and fragmentation |
title_fullStr | Single-read tRNA-seq analysis reveals coordination of tRNA modification and aminoacylation and fragmentation |
title_full_unstemmed | Single-read tRNA-seq analysis reveals coordination of tRNA modification and aminoacylation and fragmentation |
title_short | Single-read tRNA-seq analysis reveals coordination of tRNA modification and aminoacylation and fragmentation |
title_sort | single-read trna-seq analysis reveals coordination of trna modification and aminoacylation and fragmentation |
topic | Methods Online |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9943672/ https://www.ncbi.nlm.nih.gov/pubmed/36537222 http://dx.doi.org/10.1093/nar/gkac1185 |
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