Ting Wang, Lili Zhang, Wenxin Gao, Yidan Liu, Feng Yue, Xiaoling Ma, Lin Liu
{"title":"复发性植入失败患者长非编码 RNA 的全转录组 N6-甲基腺苷修饰图谱。","authors":"Ting Wang, Lili Zhang, Wenxin Gao, Yidan Liu, Feng Yue, Xiaoling Ma, Lin Liu","doi":"10.1186/s12920-024-02013-3","DOIUrl":null,"url":null,"abstract":"<p><p>N<sup>6</sup>-methyladenosine (m<sup>6</sup>A) is involved in most biological processes and actively participates in the regulation of reproduction. According to recent research, long non-coding RNAs (lncRNAs) and their m<sup>6</sup>A modifications are involved in reproductive diseases. In the present study, using m<sup>6</sup>A-modified RNA immunoprecipitation sequencing (m<sup>6</sup>A-seq), we established the m<sup>6</sup>A methylation transcription profiles in patients with recurrent implantation failure (RIF) for the first time. There were 1443 significantly upregulated m<sup>6</sup>A peaks and 425 significantly downregulated m<sup>6</sup>A peaks in RIF. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses revealed that genes associated with differentially methylated lncRNAs are involved in the p53 signalling pathway and amino acid metabolism. The competing endogenous RNA network revealed a regulatory relationship between lncRNAs, microRNAs and messenger RNAs. We verified the m<sup>6</sup>A methylation abundances of lncRNAs by using m<sup>6</sup>A-RNA immunoprecipitation (MeRIP)-real-time polymerase chain reaction. This study lays a foundation for further exploration of the potential role of m<sup>6</sup>A modification in the pathogenesis of RIF.</p>","PeriodicalId":8915,"journal":{"name":"BMC Medical Genomics","volume":"17 1","pages":"251"},"PeriodicalIF":2.1000,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11470675/pdf/","citationCount":"0","resultStr":"{\"title\":\"Transcriptome-wide N6-methyladenosine modification profiling of long non-coding RNAs in patients with recurrent implantation failure.\",\"authors\":\"Ting Wang, Lili Zhang, Wenxin Gao, Yidan Liu, Feng Yue, Xiaoling Ma, Lin Liu\",\"doi\":\"10.1186/s12920-024-02013-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>N<sup>6</sup>-methyladenosine (m<sup>6</sup>A) is involved in most biological processes and actively participates in the regulation of reproduction. According to recent research, long non-coding RNAs (lncRNAs) and their m<sup>6</sup>A modifications are involved in reproductive diseases. In the present study, using m<sup>6</sup>A-modified RNA immunoprecipitation sequencing (m<sup>6</sup>A-seq), we established the m<sup>6</sup>A methylation transcription profiles in patients with recurrent implantation failure (RIF) for the first time. There were 1443 significantly upregulated m<sup>6</sup>A peaks and 425 significantly downregulated m<sup>6</sup>A peaks in RIF. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses revealed that genes associated with differentially methylated lncRNAs are involved in the p53 signalling pathway and amino acid metabolism. The competing endogenous RNA network revealed a regulatory relationship between lncRNAs, microRNAs and messenger RNAs. We verified the m<sup>6</sup>A methylation abundances of lncRNAs by using m<sup>6</sup>A-RNA immunoprecipitation (MeRIP)-real-time polymerase chain reaction. This study lays a foundation for further exploration of the potential role of m<sup>6</sup>A modification in the pathogenesis of RIF.</p>\",\"PeriodicalId\":8915,\"journal\":{\"name\":\"BMC Medical Genomics\",\"volume\":\"17 1\",\"pages\":\"251\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-10-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11470675/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Medical Genomics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12920-024-02013-3\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Medical Genomics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12920-024-02013-3","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
Transcriptome-wide N6-methyladenosine modification profiling of long non-coding RNAs in patients with recurrent implantation failure.
N6-methyladenosine (m6A) is involved in most biological processes and actively participates in the regulation of reproduction. According to recent research, long non-coding RNAs (lncRNAs) and their m6A modifications are involved in reproductive diseases. In the present study, using m6A-modified RNA immunoprecipitation sequencing (m6A-seq), we established the m6A methylation transcription profiles in patients with recurrent implantation failure (RIF) for the first time. There were 1443 significantly upregulated m6A peaks and 425 significantly downregulated m6A peaks in RIF. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses revealed that genes associated with differentially methylated lncRNAs are involved in the p53 signalling pathway and amino acid metabolism. The competing endogenous RNA network revealed a regulatory relationship between lncRNAs, microRNAs and messenger RNAs. We verified the m6A methylation abundances of lncRNAs by using m6A-RNA immunoprecipitation (MeRIP)-real-time polymerase chain reaction. This study lays a foundation for further exploration of the potential role of m6A modification in the pathogenesis of RIF.
期刊介绍:
BMC Medical Genomics is an open access journal publishing original peer-reviewed research articles in all aspects of functional genomics, genome structure, genome-scale population genetics, epigenomics, proteomics, systems analysis, and pharmacogenomics in relation to human health and disease.