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m(7)G-quant-seq: Quantitative Detection of RNA Internal N(7)-Methylguanosine
[Image: see text] Methods for the precise detection and quantification of RNA modifications are critical to uncover functional roles of diverse RNA modifications. The internal m(7)G modification in mammalian cytoplasmic tRNAs is known to affect tRNA function and impact embryonic stem cell self-renew...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9764283/ https://www.ncbi.nlm.nih.gov/pubmed/36398936 http://dx.doi.org/10.1021/acschembio.2c00792 |
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author | Zhang, Li-Sheng Ju, Cheng-Wei Liu, Chang Wei, Jiangbo Dai, Qing Chen, Li Ye, Chang He, Chuan |
author_facet | Zhang, Li-Sheng Ju, Cheng-Wei Liu, Chang Wei, Jiangbo Dai, Qing Chen, Li Ye, Chang He, Chuan |
author_sort | Zhang, Li-Sheng |
collection | PubMed |
description | [Image: see text] Methods for the precise detection and quantification of RNA modifications are critical to uncover functional roles of diverse RNA modifications. The internal m(7)G modification in mammalian cytoplasmic tRNAs is known to affect tRNA function and impact embryonic stem cell self-renewal, tumorigenesis, cancer progression, and other cellular processes. Here, we introduce m(7)G-quant-seq, a quantitative method that accurately detects internal m(7)G sites in human cytoplasmic tRNAs at single-base resolution. The efficient chemical reduction and mild depurination can almost completely convert internal m(7)G sites into RNA abasic sites (AP sites). We demonstrate that RNA abasic sites induce a mixed variation pattern during reverse transcription, including G → A or C or T mutations as well as deletions. We calculated the total variation ratio to quantify the m(7)G modification fraction at each methylated site. The calibration curves of all relevant motif contexts allow us to more quantitatively determine the m(7)G methylation level. We detected internal m(7)G sites in 22 human cytoplasmic tRNAs from HeLa and HEK293T cells and successfully estimated the corresponding m(7)G methylation stoichiometry. m(7)G-quant-seq could be applied to monitor the tRNA m(7)G methylation level change in diverse biological processes. |
format | Online Article Text |
id | pubmed-9764283 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-97642832022-12-21 m(7)G-quant-seq: Quantitative Detection of RNA Internal N(7)-Methylguanosine Zhang, Li-Sheng Ju, Cheng-Wei Liu, Chang Wei, Jiangbo Dai, Qing Chen, Li Ye, Chang He, Chuan ACS Chem Biol [Image: see text] Methods for the precise detection and quantification of RNA modifications are critical to uncover functional roles of diverse RNA modifications. The internal m(7)G modification in mammalian cytoplasmic tRNAs is known to affect tRNA function and impact embryonic stem cell self-renewal, tumorigenesis, cancer progression, and other cellular processes. Here, we introduce m(7)G-quant-seq, a quantitative method that accurately detects internal m(7)G sites in human cytoplasmic tRNAs at single-base resolution. The efficient chemical reduction and mild depurination can almost completely convert internal m(7)G sites into RNA abasic sites (AP sites). We demonstrate that RNA abasic sites induce a mixed variation pattern during reverse transcription, including G → A or C or T mutations as well as deletions. We calculated the total variation ratio to quantify the m(7)G modification fraction at each methylated site. The calibration curves of all relevant motif contexts allow us to more quantitatively determine the m(7)G methylation level. We detected internal m(7)G sites in 22 human cytoplasmic tRNAs from HeLa and HEK293T cells and successfully estimated the corresponding m(7)G methylation stoichiometry. m(7)G-quant-seq could be applied to monitor the tRNA m(7)G methylation level change in diverse biological processes. American Chemical Society 2022-11-18 2022-12-16 /pmc/articles/PMC9764283/ /pubmed/36398936 http://dx.doi.org/10.1021/acschembio.2c00792 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Zhang, Li-Sheng Ju, Cheng-Wei Liu, Chang Wei, Jiangbo Dai, Qing Chen, Li Ye, Chang He, Chuan m(7)G-quant-seq: Quantitative Detection of RNA Internal N(7)-Methylguanosine |
title | m(7)G-quant-seq: Quantitative Detection
of RNA Internal N(7)-Methylguanosine |
title_full | m(7)G-quant-seq: Quantitative Detection
of RNA Internal N(7)-Methylguanosine |
title_fullStr | m(7)G-quant-seq: Quantitative Detection
of RNA Internal N(7)-Methylguanosine |
title_full_unstemmed | m(7)G-quant-seq: Quantitative Detection
of RNA Internal N(7)-Methylguanosine |
title_short | m(7)G-quant-seq: Quantitative Detection
of RNA Internal N(7)-Methylguanosine |
title_sort | m(7)g-quant-seq: quantitative detection
of rna internal n(7)-methylguanosine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9764283/ https://www.ncbi.nlm.nih.gov/pubmed/36398936 http://dx.doi.org/10.1021/acschembio.2c00792 |
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