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Construction of lncRNA-related competing endogenous RNA network and identification of hub genes in recurrent implantation failure
BACKGROUND: The mechanism of recurrent implantation failure (RIF) is unclear at present and poor endometrial receptivity may be one of the leading reasons. This study aims to construct a competing endogenous RNA (ceRNA) network and identify potential hub genes underlying the development of RIF. METH...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268333/ https://www.ncbi.nlm.nih.gov/pubmed/34243770 http://dx.doi.org/10.1186/s12958-021-00778-1 |
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author | Huang, Jialyu Song, Ning Xia, Leizhen Tian, Lifeng Tan, Jun Chen, Qianqian Zhu, Jing Wu, Qiongfang |
author_facet | Huang, Jialyu Song, Ning Xia, Leizhen Tian, Lifeng Tan, Jun Chen, Qianqian Zhu, Jing Wu, Qiongfang |
author_sort | Huang, Jialyu |
collection | PubMed |
description | BACKGROUND: The mechanism of recurrent implantation failure (RIF) is unclear at present and poor endometrial receptivity may be one of the leading reasons. This study aims to construct a competing endogenous RNA (ceRNA) network and identify potential hub genes underlying the development of RIF. METHODS: Weighted gene co-expression network analysis was performed based on differentially expressed mRNAs (DEMs) and lncRNAs (DELs) from the GSE111974 dataset. Functional enrichment analyses of gene modules were conducted using Gene Ontology classification and Kyoto Encyclopedia of Genes and Genomes pathway. A lncRNA-miRNA-mRNA ceRNA regulatory network was constructed according to predictive interaction derived from the LncRNADisease, miRTarBase, miRDB and TargetScan databases. Topological analysis determined the key genes with the highest centroid and their expressions were further verified using public datasets and quantitative real-time polymerase chain reaction. RESULTS: A total of 1500 DEMs and 3 DELs were significantly up-regulated, whereas 1022 DEMs and 4 DELs were significantly down-regulated in the RIF group compared with the control group. Six functional co-expression modules were enriched in various biological processes, such as cell adhesion, regulation of cell motility and cellular response to vascular endothelial growth factor stimulus. Five hub genes were identified in the ceRNA network, of which GJA1 was down-regulated whereas TET2, MAP2K6, LRRC1 and TRPM6 were up-regulated in RIF endometrium. CONCLUSIONS: We constructed a lncRNA-associated ceRNA network and identified five novel hub genes in RIF. This finding could be helpful to understand the molecular mechanism for RIF pathogenesis, and may provide novel insights for its early diagnosis and treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12958-021-00778-1. |
format | Online Article Text |
id | pubmed-8268333 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82683332021-07-09 Construction of lncRNA-related competing endogenous RNA network and identification of hub genes in recurrent implantation failure Huang, Jialyu Song, Ning Xia, Leizhen Tian, Lifeng Tan, Jun Chen, Qianqian Zhu, Jing Wu, Qiongfang Reprod Biol Endocrinol Research BACKGROUND: The mechanism of recurrent implantation failure (RIF) is unclear at present and poor endometrial receptivity may be one of the leading reasons. This study aims to construct a competing endogenous RNA (ceRNA) network and identify potential hub genes underlying the development of RIF. METHODS: Weighted gene co-expression network analysis was performed based on differentially expressed mRNAs (DEMs) and lncRNAs (DELs) from the GSE111974 dataset. Functional enrichment analyses of gene modules were conducted using Gene Ontology classification and Kyoto Encyclopedia of Genes and Genomes pathway. A lncRNA-miRNA-mRNA ceRNA regulatory network was constructed according to predictive interaction derived from the LncRNADisease, miRTarBase, miRDB and TargetScan databases. Topological analysis determined the key genes with the highest centroid and their expressions were further verified using public datasets and quantitative real-time polymerase chain reaction. RESULTS: A total of 1500 DEMs and 3 DELs were significantly up-regulated, whereas 1022 DEMs and 4 DELs were significantly down-regulated in the RIF group compared with the control group. Six functional co-expression modules were enriched in various biological processes, such as cell adhesion, regulation of cell motility and cellular response to vascular endothelial growth factor stimulus. Five hub genes were identified in the ceRNA network, of which GJA1 was down-regulated whereas TET2, MAP2K6, LRRC1 and TRPM6 were up-regulated in RIF endometrium. CONCLUSIONS: We constructed a lncRNA-associated ceRNA network and identified five novel hub genes in RIF. This finding could be helpful to understand the molecular mechanism for RIF pathogenesis, and may provide novel insights for its early diagnosis and treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12958-021-00778-1. BioMed Central 2021-07-09 /pmc/articles/PMC8268333/ /pubmed/34243770 http://dx.doi.org/10.1186/s12958-021-00778-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Huang, Jialyu Song, Ning Xia, Leizhen Tian, Lifeng Tan, Jun Chen, Qianqian Zhu, Jing Wu, Qiongfang Construction of lncRNA-related competing endogenous RNA network and identification of hub genes in recurrent implantation failure |
title | Construction of lncRNA-related competing endogenous RNA network and identification of hub genes in recurrent implantation failure |
title_full | Construction of lncRNA-related competing endogenous RNA network and identification of hub genes in recurrent implantation failure |
title_fullStr | Construction of lncRNA-related competing endogenous RNA network and identification of hub genes in recurrent implantation failure |
title_full_unstemmed | Construction of lncRNA-related competing endogenous RNA network and identification of hub genes in recurrent implantation failure |
title_short | Construction of lncRNA-related competing endogenous RNA network and identification of hub genes in recurrent implantation failure |
title_sort | construction of lncrna-related competing endogenous rna network and identification of hub genes in recurrent implantation failure |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268333/ https://www.ncbi.nlm.nih.gov/pubmed/34243770 http://dx.doi.org/10.1186/s12958-021-00778-1 |
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