Construction of lncRNA-related competing endogenous RNA network and identification of hub genes in recurrent implantation failure

被引:16
|
作者
Huang, Jialyu [1 ]
Song, Ning [2 ]
Xia, Leizhen [1 ]
Tian, Lifeng [1 ]
Tan, Jun [1 ]
Chen, Qianqian [3 ]
Zhu, Jing [3 ]
Wu, Qiongfang [1 ]
机构
[1] Jiangxi Prov Maternal & Child Hlth Hosp, Reprod Med Ctr, Nanchang 330006, Jiangxi, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Med, Shanghai Key Lab Reprod Med, Dept Histol Embryol Genet & Dev Biol, Shanghai 200025, Peoples R China
[3] Wenzhou Med Univ, Affiliated Hosp 1, Reprod Med Ctr, Wenzhou 325000, Peoples R China
基金
中国国家自然科学基金;
关键词
Recurrent implantation failure; Long non-coding RNA; Competing endogenous RNA; Weighted gene co-expression network analysis; RECEPTOR POTENTIAL CHANNELS; ENDOTHELIAL GROWTH-FACTOR; FUNCTIONAL EXPRESSION; NONCODING RNAS; STROMAL CELLS; ENDOMETRIUM; PROLIFERATION; EMBRYO; PHASE; WOMEN;
D O I
10.1186/s12958-021-00778-1
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] Construction of lncRNA-related competing endogenous RNA network and identification of hub genes in recurrent implantation failure
    Jialyu Huang
    Ning Song
    Leizhen Xia
    Lifeng Tian
    Jun Tan
    Qianqian Chen
    Jing Zhu
    Qiongfang Wu
    Reproductive Biology and Endocrinology, 19
  • [2] Construction of hub transcription factor-microRNAs-messenger RNA regulatory network in recurrent implantation failure
    Luo, Jiahuan
    Huang, Rongxia
    Xiao, Pengying
    Xu, Anli
    Dong, Zhaomei
    Zhang, Lirong
    Wu, Rui
    Qiu, Yunlin
    Zhu, Li
    Zhang, Ruopeng
    Tang, Li
    JOURNAL OF ASSISTED REPRODUCTION AND GENETICS, 2024, 41 (01) : 3 - 13
  • [3] Construction of implantation failure related lncRNA-mRNA network and identification of lncRNA biomarkers for predicting endometrial receptivity
    Feng, Chun
    Shen, Jin-Ming
    Lv, Ping-Ping
    Jin, Min
    Wang, Li-Quan
    Rao, Jin-Peng
    Feng, Lei
    INTERNATIONAL JOURNAL OF BIOLOGICAL SCIENCES, 2018, 14 (10): : 1361 - 1377
  • [4] Construction of hub transcription factor–microRNAs–messenger RNA regulatory network in recurrent implantation failure
    Jiahuan Luo
    Rongxia Huang
    Pengying Xiao
    Anli Xu
    Zhaomei Dong
    Lirong Zhang
    Rui Wu
    Yunlin Qiu
    Li Zhu
    Ruopeng Zhang
    Li Tang
    Journal of Assisted Reproduction and Genetics, 2024, 41 : 3 - 13
  • [5] Identification of lncRNA-NR_104160 as a biomarker and construction of a lncRNA-related ceRNA network for essential hypertension
    Peng, Wenjuan
    Cao, Han
    Liu, Kuo
    Guo, Chunyue
    Sun, Yanyan
    Qi, Han
    Liu, Zheng
    Xie, Yunyi
    Liu, Xiaohui
    Li, Bingxiao
    Zhang, Ling
    AMERICAN JOURNAL OF TRANSLATIONAL RESEARCH, 2020, 12 (10): : 6060 - 6075
  • [6] Identification of long non-coding RNA biomarkers and signature scoring, with competing endogenous RNA networks- targeted drug candidates for recurrent implantation failure
    Lin, Nuan
    Lin, Jia-zhe
    HUMAN FERTILITY, 2022, 25 (05) : 983 - 992
  • [7] Identification of key genes in lung adenocarcinoma based on a competing endogenous RNA network
    Song, Zikun
    Zhang, Yinjiang
    Chen, Zheren
    Zhang, Bicheng
    ONCOLOGY LETTERS, 2021, 21 (01) : 1 - 12
  • [8] Identification of novel mRNA-miRNA-lncRNA competing endogenous RNA network associated with prognosis of breast cancer
    Zhong, Guansheng
    Lou, Weiyang
    Yao, Minya
    Du, Chengyong
    Wei, Haiyan
    Fu, Peifen
    EPIGENOMICS, 2019, 11 (13) : 1501 - 1518
  • [9] Construction and Analysis of the lncRNA-miRNA-mRNA Network Based on Competing Endogenous RNA in Atrial Fibrillation
    Ke, Xiangyu
    Zhang, Junguo
    Huang, Xin
    Li, Shuai
    Leng, Meifang
    Ye, Zebing
    Li, Guowei
    FRONTIERS IN CARDIOVASCULAR MEDICINE, 2022, 9
  • [10] Prediction of candidate RNA signatures for recurrent ovarian cancer prognosis by the construction of an integrated competing endogenous RNA network
    Wang, Xin
    Han, Lei
    Zhou, Ling
    Wang, Li
    Zhang, Lan-Mei
    ONCOLOGY REPORTS, 2018, 40 (05) : 2659 - 2673