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Transcriptome-Wide m6A Methylome and m6A-Modified Gene Analysis in Asthma
N6-methyladenosine (m6A) modification is one of the most prevalent RNA modification forms and is an important posttranscriptional mechanism for regulating genes. In previous research, we found that m6A regulator–mediated RNA methylation modification was involved in asthma; however, the specific modi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197130/ https://www.ncbi.nlm.nih.gov/pubmed/35712670 http://dx.doi.org/10.3389/fcell.2022.799459 |
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author | Sun, Deyang Cai, Xiaolu Shen, Fenglin Fan, Liming Yang, Huan Zheng, Suqun Zhou, Linshui Chen, Ke Wang, Zhen |
author_facet | Sun, Deyang Cai, Xiaolu Shen, Fenglin Fan, Liming Yang, Huan Zheng, Suqun Zhou, Linshui Chen, Ke Wang, Zhen |
author_sort | Sun, Deyang |
collection | PubMed |
description | N6-methyladenosine (m6A) modification is one of the most prevalent RNA modification forms and is an important posttranscriptional mechanism for regulating genes. In previous research, we found that m6A regulator–mediated RNA methylation modification was involved in asthma; however, the specific modified genes are not clear. In this study, we systematically evaluated the transcriptome-wide m6A methylome and m6A-modified genes in asthma. Here, we performed two high-throughput sequencing methods, methylated RNA immunoprecipitation sequencing (MeRIP-seq), and RNA sequencing (RNA-seq) to identify key genes with m6A modification in asthma. Through difference analysis, we found that 416 methylation peaks were significantly upregulated and 152 methylation peaks were significantly downregulated, and it was mainly distributed in 3′ UTR. Furthermore, compared with the control group, there were 2,505 significantly upregulated genes and 4,715 significantly downregulated genes in the asthma group. Next, through a combined analysis of transcriptome and differential peaks, 14 differentially expressed genes related to RNA methylation modification were screened. Finally, through 87 health controls and 411 asthma cases from the U-BIOPRED (Unbiased Biomarkers for the Prediction of Respiratory Disease Outcomes) program, we verified three m6A-modified key genes (BCL11A, MATK, and CD300A) and found that they were mainly distributed in exons and enriched in 3' UTR. Our findings suggested that intervening in m6A-modified genes may provide a new idea for the treatment of asthma. |
format | Online Article Text |
id | pubmed-9197130 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91971302022-06-15 Transcriptome-Wide m6A Methylome and m6A-Modified Gene Analysis in Asthma Sun, Deyang Cai, Xiaolu Shen, Fenglin Fan, Liming Yang, Huan Zheng, Suqun Zhou, Linshui Chen, Ke Wang, Zhen Front Cell Dev Biol Cell and Developmental Biology N6-methyladenosine (m6A) modification is one of the most prevalent RNA modification forms and is an important posttranscriptional mechanism for regulating genes. In previous research, we found that m6A regulator–mediated RNA methylation modification was involved in asthma; however, the specific modified genes are not clear. In this study, we systematically evaluated the transcriptome-wide m6A methylome and m6A-modified genes in asthma. Here, we performed two high-throughput sequencing methods, methylated RNA immunoprecipitation sequencing (MeRIP-seq), and RNA sequencing (RNA-seq) to identify key genes with m6A modification in asthma. Through difference analysis, we found that 416 methylation peaks were significantly upregulated and 152 methylation peaks were significantly downregulated, and it was mainly distributed in 3′ UTR. Furthermore, compared with the control group, there were 2,505 significantly upregulated genes and 4,715 significantly downregulated genes in the asthma group. Next, through a combined analysis of transcriptome and differential peaks, 14 differentially expressed genes related to RNA methylation modification were screened. Finally, through 87 health controls and 411 asthma cases from the U-BIOPRED (Unbiased Biomarkers for the Prediction of Respiratory Disease Outcomes) program, we verified three m6A-modified key genes (BCL11A, MATK, and CD300A) and found that they were mainly distributed in exons and enriched in 3' UTR. Our findings suggested that intervening in m6A-modified genes may provide a new idea for the treatment of asthma. Frontiers Media S.A. 2022-05-30 /pmc/articles/PMC9197130/ /pubmed/35712670 http://dx.doi.org/10.3389/fcell.2022.799459 Text en Copyright © 2022 Sun, Cai, Shen, Fan, Yang, Zheng, Zhou, Chen and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cell and Developmental Biology Sun, Deyang Cai, Xiaolu Shen, Fenglin Fan, Liming Yang, Huan Zheng, Suqun Zhou, Linshui Chen, Ke Wang, Zhen Transcriptome-Wide m6A Methylome and m6A-Modified Gene Analysis in Asthma |
title | Transcriptome-Wide m6A Methylome and m6A-Modified Gene Analysis in Asthma |
title_full | Transcriptome-Wide m6A Methylome and m6A-Modified Gene Analysis in Asthma |
title_fullStr | Transcriptome-Wide m6A Methylome and m6A-Modified Gene Analysis in Asthma |
title_full_unstemmed | Transcriptome-Wide m6A Methylome and m6A-Modified Gene Analysis in Asthma |
title_short | Transcriptome-Wide m6A Methylome and m6A-Modified Gene Analysis in Asthma |
title_sort | transcriptome-wide m6a methylome and m6a-modified gene analysis in asthma |
topic | Cell and Developmental Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197130/ https://www.ncbi.nlm.nih.gov/pubmed/35712670 http://dx.doi.org/10.3389/fcell.2022.799459 |
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