Cargando…
Transcriptomic Analysis of mRNA-lncRNA-miRNA Interactions in Hepatocellular Carcinoma
Fully elucidating the molecular mechanisms of non-coding RNAs (ncRNAs), including micro RNAs (miRNAs) and long non-coding RNAs (lncRNAs), underlying hepatocarcinogenesis is challenging. We characterized the expression profiles of ncRNAs and constructed a regulatory mRNA-lncRNA-miRNA (MLMI) network b...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6834564/ https://www.ncbi.nlm.nih.gov/pubmed/31695090 http://dx.doi.org/10.1038/s41598-019-52559-x |
_version_ | 1783466500867227648 |
---|---|
author | Tang, Xia Feng, Delong Li, Min Zhou, Jinxue Li, Xiaoyuan Zhao, Dachun Hao, Bingtao Li, Dewei Ding, Keyue |
author_facet | Tang, Xia Feng, Delong Li, Min Zhou, Jinxue Li, Xiaoyuan Zhao, Dachun Hao, Bingtao Li, Dewei Ding, Keyue |
author_sort | Tang, Xia |
collection | PubMed |
description | Fully elucidating the molecular mechanisms of non-coding RNAs (ncRNAs), including micro RNAs (miRNAs) and long non-coding RNAs (lncRNAs), underlying hepatocarcinogenesis is challenging. We characterized the expression profiles of ncRNAs and constructed a regulatory mRNA-lncRNA-miRNA (MLMI) network based on transcriptome sequencing (RNA-seq) of hepatocellular carcinoma (HCC, n = 9) patients. Of the identified miRNAs (n = 203) and lncRNAs (n = 1,090), we found 16 significantly differentially expressed (DE) miRNAs and three DE lncRNAs. The DE RNAs were highly enriched in 21 functional pathways implicated in HCC (p < 0.05), including p53, MAPK, and NAFLD signaling. Potential pairwise interactions between DE ncRNAs and mRNAs were fully characterized using in silico prediction and experimentally-validated evidence. We for the first time constructed a MLMI network of reciprocal interactions for 16 miRNAs, three lncRNAs, and 253 mRNAs in HCC. The predominant role of MEG3 in the MLMI network was validated by its overexpression in vitro that the expression levels of a proportion of MEG3-targeted miRNAs and mRNAs was changed significantly. Our results suggested that the comprehensive MLMI network synergistically modulated carcinogenesis, and the crosstalk of the network provides a new avenue to accurately describe the molecular mechanisms of hepatocarcinogenesis. |
format | Online Article Text |
id | pubmed-6834564 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68345642019-11-13 Transcriptomic Analysis of mRNA-lncRNA-miRNA Interactions in Hepatocellular Carcinoma Tang, Xia Feng, Delong Li, Min Zhou, Jinxue Li, Xiaoyuan Zhao, Dachun Hao, Bingtao Li, Dewei Ding, Keyue Sci Rep Article Fully elucidating the molecular mechanisms of non-coding RNAs (ncRNAs), including micro RNAs (miRNAs) and long non-coding RNAs (lncRNAs), underlying hepatocarcinogenesis is challenging. We characterized the expression profiles of ncRNAs and constructed a regulatory mRNA-lncRNA-miRNA (MLMI) network based on transcriptome sequencing (RNA-seq) of hepatocellular carcinoma (HCC, n = 9) patients. Of the identified miRNAs (n = 203) and lncRNAs (n = 1,090), we found 16 significantly differentially expressed (DE) miRNAs and three DE lncRNAs. The DE RNAs were highly enriched in 21 functional pathways implicated in HCC (p < 0.05), including p53, MAPK, and NAFLD signaling. Potential pairwise interactions between DE ncRNAs and mRNAs were fully characterized using in silico prediction and experimentally-validated evidence. We for the first time constructed a MLMI network of reciprocal interactions for 16 miRNAs, three lncRNAs, and 253 mRNAs in HCC. The predominant role of MEG3 in the MLMI network was validated by its overexpression in vitro that the expression levels of a proportion of MEG3-targeted miRNAs and mRNAs was changed significantly. Our results suggested that the comprehensive MLMI network synergistically modulated carcinogenesis, and the crosstalk of the network provides a new avenue to accurately describe the molecular mechanisms of hepatocarcinogenesis. Nature Publishing Group UK 2019-11-06 /pmc/articles/PMC6834564/ /pubmed/31695090 http://dx.doi.org/10.1038/s41598-019-52559-x Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Tang, Xia Feng, Delong Li, Min Zhou, Jinxue Li, Xiaoyuan Zhao, Dachun Hao, Bingtao Li, Dewei Ding, Keyue Transcriptomic Analysis of mRNA-lncRNA-miRNA Interactions in Hepatocellular Carcinoma |
title | Transcriptomic Analysis of mRNA-lncRNA-miRNA Interactions in Hepatocellular Carcinoma |
title_full | Transcriptomic Analysis of mRNA-lncRNA-miRNA Interactions in Hepatocellular Carcinoma |
title_fullStr | Transcriptomic Analysis of mRNA-lncRNA-miRNA Interactions in Hepatocellular Carcinoma |
title_full_unstemmed | Transcriptomic Analysis of mRNA-lncRNA-miRNA Interactions in Hepatocellular Carcinoma |
title_short | Transcriptomic Analysis of mRNA-lncRNA-miRNA Interactions in Hepatocellular Carcinoma |
title_sort | transcriptomic analysis of mrna-lncrna-mirna interactions in hepatocellular carcinoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6834564/ https://www.ncbi.nlm.nih.gov/pubmed/31695090 http://dx.doi.org/10.1038/s41598-019-52559-x |
work_keys_str_mv | AT tangxia transcriptomicanalysisofmrnalncrnamirnainteractionsinhepatocellularcarcinoma AT fengdelong transcriptomicanalysisofmrnalncrnamirnainteractionsinhepatocellularcarcinoma AT limin transcriptomicanalysisofmrnalncrnamirnainteractionsinhepatocellularcarcinoma AT zhoujinxue transcriptomicanalysisofmrnalncrnamirnainteractionsinhepatocellularcarcinoma AT lixiaoyuan transcriptomicanalysisofmrnalncrnamirnainteractionsinhepatocellularcarcinoma AT zhaodachun transcriptomicanalysisofmrnalncrnamirnainteractionsinhepatocellularcarcinoma AT haobingtao transcriptomicanalysisofmrnalncrnamirnainteractionsinhepatocellularcarcinoma AT lidewei transcriptomicanalysisofmrnalncrnamirnainteractionsinhepatocellularcarcinoma AT dingkeyue transcriptomicanalysisofmrnalncrnamirnainteractionsinhepatocellularcarcinoma |