Direct identification of A-to-I editing sites with nanopore native RNA sequencing
Journal article
Nguyen, Tram, Heng, Jia, Kaewsapsak, Pornchai, Kok, Eng, Stanojevic, Dominik, Liu, Hao, Cardilla, Angelysia, Praditya, Albert, Yi, Zirong, Lin, Mingwan, Aw, Jong, Ho, Yin, Peh, Kai, Wang, Yuanming, Zhong, Qixing, Heraud-Farlow, Jacki, Xue, Shifeng, Reversade, Bruno, Walkley, Carl Richard, ... Tan, Meng. (2022). Direct identification of A-to-I editing sites with nanopore native RNA sequencing. Nature Methods. 19, pp. 833-844. https://doi.org/10.1038/s41592-022-01513-3
Authors | Nguyen, Tram, Heng, Jia, Kaewsapsak, Pornchai, Kok, Eng, Stanojevic, Dominik, Liu, Hao, Cardilla, Angelysia, Praditya, Albert, Yi, Zirong, Lin, Mingwan, Aw, Jong, Ho, Yin, Peh, Kai, Wang, Yuanming, Zhong, Qixing, Heraud-Farlow, Jacki, Xue, Shifeng, Reversade, Bruno, Walkley, Carl Richard, Ho, Ying, Sikic, Mile, Wan, Yue and Tan, Meng |
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Abstract | Inosine is a prevalent RNA modification in animals and is formed when an adenosine is deaminated by the ADAR family of enzymes. Traditionally, inosines are identified indirectly as variants from Illumina RNA-sequencing data because they are interpreted as guanosines by cellular machineries. However, this indirect method performs poorly in protein-coding regions where exons are typically short, in non-model organisms with sparsely annotated single-nucleotide polymorphisms, or in disease contexts where unknown DNA mutations are pervasive. Here, we show that Oxford Nanopore direct RNA sequencing can be used to identify inosine-containing sites in native transcriptomes with high accuracy. We trained convolutional neural network models to distinguish inosine from adenosine and guanosine, and to estimate the modification rate at each editing site. Furthermore, we demonstrated their utility on the transcriptomes of human, mouse and Xenopus. Our approach expands the toolkit for studying adenosine-to-inosine editing and can be further extended to investigate other RNA modifications. |
Keywords | Adenosine genetics ; Animals; Inosine genetics; Mice; Nanopores; RNA Editing; RNA genetics; RNA metabolism; Sequence Analysis |
Year | 01 Jan 2022 |
Journal | Nature Methods |
Journal citation | 19, pp. 833-844 |
Publisher | Nature Publishing Group |
ISSN | 1548-7091 |
Digital Object Identifier (DOI) | https://doi.org/10.1038/s41592-022-01513-3 |
PubMed ID | 35697834 |
Web address (URL) | https://www.nature.com/articles/s41592-022-01513-3 |
Open access | Published as non-open access |
Research or scholarly | Research |
Page range | 833-844 |
Publisher's version | License All rights reserved File Access Level Controlled |
Output status | Published |
Publication dates | |
13 Jun 2022 | |
Publication process dates | |
Deposited | 06 Jan 2023 |
Additional information | © 2022. The Author(s), under exclusive licence to Springer Nature America, Inc. |
Place of publication | United Kingdom |
https://acuresearchbank.acu.edu.au/item/8y90y/direct-identification-of-a-to-i-editing-sites-with-nanopore-native-rna-sequencing
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