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Sub-pathway analysis for severe burns injury patients: Identification of potential key lncRNAs by analyzing lncRNA-mRNA profile

The aim of the study was to identify key long non-coding RNAs (lncRNA) and related subpathways following severe burn injuries and research their functions. The miRNA-mRNA and lncRNA-miRNA interactions were downloaded from starBase v2.0 database. In addition, mRNA-miRNA interactions were obtained fro...

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Autores principales: Tang, Gongjie, Zhang, Tao, Wang, Xinbo, Song, Zengmei, Liu, Fucun, Zhang, Qian, Huo, Ran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5958639/
https://www.ncbi.nlm.nih.gov/pubmed/29805546
http://dx.doi.org/10.3892/etm.2018.6089
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author Tang, Gongjie
Zhang, Tao
Wang, Xinbo
Song, Zengmei
Liu, Fucun
Zhang, Qian
Huo, Ran
author_facet Tang, Gongjie
Zhang, Tao
Wang, Xinbo
Song, Zengmei
Liu, Fucun
Zhang, Qian
Huo, Ran
author_sort Tang, Gongjie
collection PubMed
description The aim of the study was to identify key long non-coding RNAs (lncRNA) and related subpathways following severe burn injuries and research their functions. The miRNA-mRNA and lncRNA-miRNA interactions were downloaded from starBase v2.0 database. In addition, mRNA-miRNA interactions were obtained from TarBase, mirTarBase, mir2Disease, miRecords (V4.0) databases. The relationships of lncRNA-miRNA-mRNA were constructed. Genes of expression profiling were intersected with mRNA and lncRNA in lncRNA-mRNA interaction. Screened mRNAs were enriched into various pathways and screened lncRNAs were embedded into candidate pathways. Wallenius approximation methods were used to calculate the false discovery rate value of each sub-pathway. Based on the results of significant sub-pathways, the related lncRNA-mRNA network was constructed. A total of 18,081 genes were obtained. The lncRNA-mRNA intersections including 835 lncRNAs, 1,749 mRNAs and 7,693 interacting pairs were constructed. The enriched mRNAs were further enriched into various candidate pathways such as ribosome biogenesis in eukaryotes. Several sub-pathways were screened, including ribosome biogenesis in eukaryotes and MAPK signaling pathway. The network of pathway-lncRNA-mRNA was constructed. Hub-genes were identified, including C14orf169 and YLPM1. Several hub-lncRNAs were obtained, including PRKAG2 antisense RNA 1 and LEF1 antisense RNA 1. Several hub-lncRNAs including C14orf169, YLPM1, TTTY15, and PCBP1-AS1 were screened. The sub-pathways regulated by these lncRNAs were identified, and functions were predicted.
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spelling pubmed-59586392018-05-27 Sub-pathway analysis for severe burns injury patients: Identification of potential key lncRNAs by analyzing lncRNA-mRNA profile Tang, Gongjie Zhang, Tao Wang, Xinbo Song, Zengmei Liu, Fucun Zhang, Qian Huo, Ran Exp Ther Med Articles The aim of the study was to identify key long non-coding RNAs (lncRNA) and related subpathways following severe burn injuries and research their functions. The miRNA-mRNA and lncRNA-miRNA interactions were downloaded from starBase v2.0 database. In addition, mRNA-miRNA interactions were obtained from TarBase, mirTarBase, mir2Disease, miRecords (V4.0) databases. The relationships of lncRNA-miRNA-mRNA were constructed. Genes of expression profiling were intersected with mRNA and lncRNA in lncRNA-mRNA interaction. Screened mRNAs were enriched into various pathways and screened lncRNAs were embedded into candidate pathways. Wallenius approximation methods were used to calculate the false discovery rate value of each sub-pathway. Based on the results of significant sub-pathways, the related lncRNA-mRNA network was constructed. A total of 18,081 genes were obtained. The lncRNA-mRNA intersections including 835 lncRNAs, 1,749 mRNAs and 7,693 interacting pairs were constructed. The enriched mRNAs were further enriched into various candidate pathways such as ribosome biogenesis in eukaryotes. Several sub-pathways were screened, including ribosome biogenesis in eukaryotes and MAPK signaling pathway. The network of pathway-lncRNA-mRNA was constructed. Hub-genes were identified, including C14orf169 and YLPM1. Several hub-lncRNAs were obtained, including PRKAG2 antisense RNA 1 and LEF1 antisense RNA 1. Several hub-lncRNAs including C14orf169, YLPM1, TTTY15, and PCBP1-AS1 were screened. The sub-pathways regulated by these lncRNAs were identified, and functions were predicted. D.A. Spandidos 2018-06 2018-04-23 /pmc/articles/PMC5958639/ /pubmed/29805546 http://dx.doi.org/10.3892/etm.2018.6089 Text en Copyright: © Tang et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Tang, Gongjie
Zhang, Tao
Wang, Xinbo
Song, Zengmei
Liu, Fucun
Zhang, Qian
Huo, Ran
Sub-pathway analysis for severe burns injury patients: Identification of potential key lncRNAs by analyzing lncRNA-mRNA profile
title Sub-pathway analysis for severe burns injury patients: Identification of potential key lncRNAs by analyzing lncRNA-mRNA profile
title_full Sub-pathway analysis for severe burns injury patients: Identification of potential key lncRNAs by analyzing lncRNA-mRNA profile
title_fullStr Sub-pathway analysis for severe burns injury patients: Identification of potential key lncRNAs by analyzing lncRNA-mRNA profile
title_full_unstemmed Sub-pathway analysis for severe burns injury patients: Identification of potential key lncRNAs by analyzing lncRNA-mRNA profile
title_short Sub-pathway analysis for severe burns injury patients: Identification of potential key lncRNAs by analyzing lncRNA-mRNA profile
title_sort sub-pathway analysis for severe burns injury patients: identification of potential key lncrnas by analyzing lncrna-mrna profile
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5958639/
https://www.ncbi.nlm.nih.gov/pubmed/29805546
http://dx.doi.org/10.3892/etm.2018.6089
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