LGG竞争内源性RNA网络中作用的LncRNA、MiRNA和MRNA的综合分析。

IF 1.3 4区 生物学 Q4 GENETICS & HEREDITY Genetica Pub Date : 2022-02-01 Epub Date: 2022-01-07 DOI:10.1007/s10709-021-00145-3
Yiming Ding, Hanjie Liu, Chuanbao Zhang, Zhaoshi Bao, Shuqing Yu
{"title":"LGG竞争内源性RNA网络中作用的LncRNA、MiRNA和MRNA的综合分析。","authors":"Yiming Ding,&nbsp;Hanjie Liu,&nbsp;Chuanbao Zhang,&nbsp;Zhaoshi Bao,&nbsp;Shuqing Yu","doi":"10.1007/s10709-021-00145-3","DOIUrl":null,"url":null,"abstract":"<p><p>Messenger RNA (mRNA) and long noncoding RNA (lncRNA) targets interact via competitive microRNA (miRNA) binding. However, the roles of cancer-specific lncRNAs in the competing endogenous RNA (ceRNA) networks of low-grade glioma (LGG) remain unclear. This study obtained RNA sequencing data for normal solid tissue and LGG primary tumour tissue from The Cancer Genome Atlas database. We used a computational method to analyse the relationships among the mRNAs, lncRNAs, and miRNAs in these samples. Gene ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was used to predict the biological processes (BPs) and pathways associated with these genes. Kaplan-Meier survival analysis was used to evaluate the association between the expression levels of specific mRNAs, lncRNAs, and miRNAs and overall survival. Finally, we created a ceRNA network describing the relationships among these mRNAs, lncRNAs, and miRNAs using Cytoscape 3.5.1. A total of 2555 differentially expressed (DE) mRNAs, 218 DElncRNAs, and 192 DEmiRNAs were identified using R. In addition, GO and KEGG pathway analysis of the mRNAs and lncRNAs in the ceRNA network identified 10 BPs, 10 cell components, 10 molecular functions, and 48 KEGG pathways as selectively enriched. A total of 55 lncRNAs, 50 miRNAs, and 10 mRNAs from this network were shown to be closely associated with overall survival in LGG. Finally, 59 miRNAs, 235 mRNAs, and 17 lncRNAs were used to develop a ceRNA network comprising 313 nodes and 1046 edges. This study helps expand our understanding of ceRNA networks and serves to clarify the underlying pathogenesis mechanism of LGG.</p>","PeriodicalId":55121,"journal":{"name":"Genetica","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Comprehensive analysis of the LncRNAs, MiRNAs, and MRNAs acting within the competing endogenous RNA network of LGG.\",\"authors\":\"Yiming Ding,&nbsp;Hanjie Liu,&nbsp;Chuanbao Zhang,&nbsp;Zhaoshi Bao,&nbsp;Shuqing Yu\",\"doi\":\"10.1007/s10709-021-00145-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Messenger RNA (mRNA) and long noncoding RNA (lncRNA) targets interact via competitive microRNA (miRNA) binding. However, the roles of cancer-specific lncRNAs in the competing endogenous RNA (ceRNA) networks of low-grade glioma (LGG) remain unclear. This study obtained RNA sequencing data for normal solid tissue and LGG primary tumour tissue from The Cancer Genome Atlas database. We used a computational method to analyse the relationships among the mRNAs, lncRNAs, and miRNAs in these samples. Gene ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was used to predict the biological processes (BPs) and pathways associated with these genes. Kaplan-Meier survival analysis was used to evaluate the association between the expression levels of specific mRNAs, lncRNAs, and miRNAs and overall survival. Finally, we created a ceRNA network describing the relationships among these mRNAs, lncRNAs, and miRNAs using Cytoscape 3.5.1. A total of 2555 differentially expressed (DE) mRNAs, 218 DElncRNAs, and 192 DEmiRNAs were identified using R. In addition, GO and KEGG pathway analysis of the mRNAs and lncRNAs in the ceRNA network identified 10 BPs, 10 cell components, 10 molecular functions, and 48 KEGG pathways as selectively enriched. A total of 55 lncRNAs, 50 miRNAs, and 10 mRNAs from this network were shown to be closely associated with overall survival in LGG. Finally, 59 miRNAs, 235 mRNAs, and 17 lncRNAs were used to develop a ceRNA network comprising 313 nodes and 1046 edges. This study helps expand our understanding of ceRNA networks and serves to clarify the underlying pathogenesis mechanism of LGG.</p>\",\"PeriodicalId\":55121,\"journal\":{\"name\":\"Genetica\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2022-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Genetica\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1007/s10709-021-00145-3\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2022/1/7 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genetica","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s10709-021-00145-3","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/1/7 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 1

摘要

信使RNA (mRNA)和长链非编码RNA (lncRNA)靶标通过竞争性microRNA (miRNA)结合相互作用。然而,癌症特异性lncrna在低级别胶质瘤(LGG)竞争内源性RNA (ceRNA)网络中的作用尚不清楚。本研究从Cancer Genome Atlas数据库中获得了正常实体组织和LGG原发肿瘤组织的RNA测序数据。我们使用计算方法来分析这些样本中mrna、lncrna和mirna之间的关系。利用基因本体(GO)功能和京都基因与基因组百科全书(KEGG)途径富集分析来预测与这些基因相关的生物过程(bp)和途径。Kaplan-Meier生存分析用于评估特异性mrna、lncrna和mirna的表达水平与总生存率之间的关系。最后,我们使用Cytoscape 3.5.1创建了一个描述这些mrna、lncrna和mirna之间关系的ceRNA网络。使用r共鉴定了2555个差异表达(DE) mrna、218个delncrna和192个demirna。此外,对ceRNA网络中的mrna和lncrna进行GO和KEGG通路分析,鉴定出10个bp、10个细胞成分、10个分子功能和48个选择性富集的KEGG通路。来自该网络的55个lncrna, 50个mirna和10个mrna被证明与LGG的总生存密切相关。最后,使用59个mirna, 235个mrna和17个lncrna构建了一个包含313个节点和1046个边的ceRNA网络。本研究有助于扩大我们对ceRNA网络的认识,并有助于阐明LGG的潜在发病机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Comprehensive analysis of the LncRNAs, MiRNAs, and MRNAs acting within the competing endogenous RNA network of LGG.

Messenger RNA (mRNA) and long noncoding RNA (lncRNA) targets interact via competitive microRNA (miRNA) binding. However, the roles of cancer-specific lncRNAs in the competing endogenous RNA (ceRNA) networks of low-grade glioma (LGG) remain unclear. This study obtained RNA sequencing data for normal solid tissue and LGG primary tumour tissue from The Cancer Genome Atlas database. We used a computational method to analyse the relationships among the mRNAs, lncRNAs, and miRNAs in these samples. Gene ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was used to predict the biological processes (BPs) and pathways associated with these genes. Kaplan-Meier survival analysis was used to evaluate the association between the expression levels of specific mRNAs, lncRNAs, and miRNAs and overall survival. Finally, we created a ceRNA network describing the relationships among these mRNAs, lncRNAs, and miRNAs using Cytoscape 3.5.1. A total of 2555 differentially expressed (DE) mRNAs, 218 DElncRNAs, and 192 DEmiRNAs were identified using R. In addition, GO and KEGG pathway analysis of the mRNAs and lncRNAs in the ceRNA network identified 10 BPs, 10 cell components, 10 molecular functions, and 48 KEGG pathways as selectively enriched. A total of 55 lncRNAs, 50 miRNAs, and 10 mRNAs from this network were shown to be closely associated with overall survival in LGG. Finally, 59 miRNAs, 235 mRNAs, and 17 lncRNAs were used to develop a ceRNA network comprising 313 nodes and 1046 edges. This study helps expand our understanding of ceRNA networks and serves to clarify the underlying pathogenesis mechanism of LGG.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Genetica
Genetica 生物-遗传学
CiteScore
2.70
自引率
0.00%
发文量
32
审稿时长
>12 weeks
期刊介绍: Genetica publishes papers dealing with genetics, genomics, and evolution. Our journal covers novel advances in the fields of genomics, conservation genetics, genotype-phenotype interactions, evo-devo, population and quantitative genetics, and biodiversity. Genetica publishes original research articles addressing novel conceptual, experimental, and theoretical issues in these areas, whatever the taxon considered. Biomedical papers and papers on breeding animal and plant genetics are not within the scope of Genetica, unless framed in an evolutionary context. Recent advances in genetics, genomics and evolution are also published in thematic issues and synthesis papers published by experts in the field.
期刊最新文献
Genome-wide identification and data mining reveals major-latex protein (MLP) from the PR-10 protein family played defense-related roles against phytopathogenic challenges in cassava (Manihot esculenta Crantz). Comparative genomic analysis reveals expansion of the DnaJ gene family in Lagerstroemia indica and its members response to salt stress. Identification and expression analysis of XIP gene family members in rice. Genome-wide identification and expression analysis of the universal stress protein (USP) gene family in Arabidopsis thaliana, Zea mays, and Oryza sativa. A multi-tissue de novo transcriptome assembly and relative gene expression of the vulnerable freshwater salmonid Thymallus ligericus.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1