Mechanisms of circRNA/lncRNA-miRNA interactions and applications in disease and drug research

被引:41
|
作者
Ma, Benchi [1 ]
Wang, Shihao [2 ]
Wu, Wenzheng [1 ]
Shan, Pufan [3 ]
Chen, Yufan [2 ]
Meng, Jiaqi [2 ]
Xing, Liping [1 ]
Yun, Jingyi [1 ]
Hao, Longhui [1 ]
Wang, Xiaoyu [1 ]
Li, Shuyan [4 ]
Guo, Yinghui [2 ,5 ]
机构
[1] Shandong Univ Tradit Chinese Med, Coll Pharm, Jinan 250000, Peoples R China
[2] Shandong Univ Tradit Chinese Med, Coll Chinese Med, Jinan 250000, Peoples R China
[3] Shandong Univ Tradit Chinese Med, Coll Acupuncture & Massage, Jinan 250000, Peoples R China
[4] Shandong Univ Tradit Chinese Med, Coll Foreign Languages, Jinan 250000, Peoples R China
[5] Shandong Univ Tradit Chinese Med, Lab Liver Viscera State & Syndrome Emot Dis, Jinan 250000, Peoples R China
关键词
CircRNA; CeRNA; LncRNA; MiRNA; Disease; MiRNA sponges; CELL LUNG-CANCER; SIGNALING PATHWAY; RNA; PROGRESSION; PROLIFERATION; RESISTANCE; SUPPRESSES; MIGRATION; INVASION; DATABASE;
D O I
10.1016/j.biopha.2023.114672
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
In recent years, breakthroughs in bioinformatics have been made with the discovery of many functionally significant non-coding RNAs (ncRNAs). The discovery of these ncRNAs has further demonstrated the multi-level characteristics of intracellular gene expression regulation, which plays an important role in assisting diagnosis, guiding clinical drug use and determining prognosis in the treatment process of various diseases. microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs) are the three major types of ncRNAs that interact with each other. Studies have shown that lncRNAs and circRNAs can sponge miRNAs, thereby influencing normal physiological processes and regulating mRNA expression and, thus, the physiological state of cells. This paper summarizes the mechanism of action and research progress of the three ncRNA and seven types of modalities. This summary is intended to provide new ideas for diagnosing and treating diseases and researching and developing new drugs.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Systematic Transcriptome Wide Analysis of lncRNA-miRNA Interactions
    Jalali, Saakshi
    Bhartiya, Deeksha
    Lalwani, Mukesh Kumar
    Sivasubbu, Sridhar
    Scaria, Vinod
    [J]. PLOS ONE, 2013, 8 (02):
  • [2] DeepWalk based method to predict lncRNA-miRNA associations via lncRNA-miRNA-disease-protein-drug graph
    Long Yang
    Li-Ping Li
    Hai-Cheng Yi
    [J]. BMC Bioinformatics, 22
  • [3] DeepWalk based method to predict lncRNA-miRNA associations via lncRNA-miRNA-disease-protein-drug graph
    Yang, Long
    Li, Li-Ping
    Yi, Hai-Cheng
    [J]. BMC BIOINFORMATICS, 2022, 22 (SUPPL 12)
  • [4] LNRLMI: Linear neighbour representation for predicting lncRNA-miRNA interactions
    Wong, Leon
    Huang, Yu-An
    You, Zhu-Hong
    Chen, Zhan-Heng
    Cao, Mei-Yuan
    [J]. JOURNAL OF CELLULAR AND MOLECULAR MEDICINE, 2020, 24 (01) : 79 - 87
  • [5] Using Network Distance Analysis to Predict lncRNA-miRNA Interactions
    Zhang, Li
    Yang, Pengyu
    Feng, Huawei
    Zhao, Qi
    Liu, Hongsheng
    [J]. INTERDISCIPLINARY SCIENCES-COMPUTATIONAL LIFE SCIENCES, 2021, 13 (03) : 535 - 545
  • [6] Predicting lncRNA-miRNA interactions based on interactome network and graphlet interaction
    Zhang, Li
    Liu, Ting
    Chen, Haoyu
    Zhao, Qi
    Liu, Hongsheng
    [J]. GENOMICS, 2021, 113 (03) : 874 - 880
  • [7] Discovering an Integrated Network in Heterogeneous Data for Predicting lncRNA-miRNA Interactions
    Hu, Pengwei
    Huang, Yu-An
    Chan, Keith C. C.
    You, Zhu-Hong
    [J]. INTELLIGENT COMPUTING THEORIES AND APPLICATION, PT I, 2018, 10954 : 539 - 545
  • [8] SPMLMI: predicting lncRNA-miRNA interactions in humans using a structural perturbation method
    Xu, Mingmin
    Chen, Yuanyuan
    Lu, Wei
    Kong, Lingpeng
    Fan, Jingya
    Li, Zutan
    Zhang, Liangyun
    Pian, Cong
    [J]. PEERJ, 2021, 9
  • [9] Learning Multimodal Networks From Heterogeneous Data for Prediction of lncRNA-miRNA Interactions
    Hu, Pengwei
    Huang, Yu-An
    Chan, Keith C. C.
    You, Zhu-Hong
    [J]. IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2020, 17 (05) : 1516 - 1524
  • [10] GNMFLMI: Graph Regularized Nonnegative Matrix Factorization for Predicting LncRNA-MiRNA Interactions
    Wang, Mei-Neng
    You, Zhu-Hong
    Li, Li-Ping
    Wong, Leon
    Chen, Zhan-Heng
    Gan, Cheng-Zhi
    [J]. IEEE ACCESS, 2020, 8 : 37578 - 37588