scholarly journals Functional Long Noncoding RNAs (lncRNAs) in Clear Cell Kidney Carcinoma Revealed by Reconstruction and Comprehensive Analysis of the lncRNA–miRNA–mRNA Regulatory Network

2018 ◽  
Vol 24 ◽  
pp. 8250-8263 ◽  
Author(s):  
Hehuan Zhu ◽  
Jun Lu ◽  
Hu Zhao ◽  
Zhan Chen ◽  
Qiang Cui ◽  
...  
2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Kang Yang ◽  
Xiao-fan Lu ◽  
Peng-cheng Luo ◽  
Jie Zhang

Background. Clear cell renal cell carcinoma (ccRCC), the most common subtype of renal cell carcinoma (RCC), usually is representative of metastatic heterogeneous neoplasm that links with poor prognosis, but the pathogenesis of ccRCC remains unclear. Currently, numerous evidences prove that long noncoding RNAs (lncRNAs) are considered as competing endogenous RNA (ceRNA) to participate in cellular processes of tumors. Therefore, to investigate the underlying mechanisms of ccRCC, the expression profiles of lncRNAs, miRNAs, and mRNAs were downloaded from the Cancer Genome Atlas (TCGA) database. A total of 1526 differentially expressed lncRNAs (DElncRNAs), 54 DEmiRNAs, and 2352 DEmRNAs were identified. To determine the connection of them, all DElncRNAs were input to the miRcode database. The results indicated that 85 DElncRNAs could connect with 9 DEmiRNAs in relation to our study. Then, databases of TargetScan and miRDB were used to search for targeted genes with reference to DEmiRNAs. The results showed that 203 out of 2352 targeted genes were identified in our TCGA set. Subsequently, ceRNA network was constructed according to Cytoscape and the targeted genes were functionally analyzed to elucidate the mechanisms of DEmRNAs. The results of survival analysis and regression analysis indicated that 6 DElncRNAs named COL18A1-AS1, WT1-AS, LINC00443, TCL6, AL356356.1, and SLC25A5-AS1 were significantly correlative with the clinical traits of ccRCC patients and could be served as predictors for ccRCC. Finally, these findings were validated by quantitative RT-PCR (qRT-PCR). Based on these discoveries, we believe that this identified ceRNA network will provide a novel perspective to elucidate ccRCC pathogenesis.


2018 ◽  
Vol 45 (2) ◽  
pp. 428-437 ◽  
Author(s):  
Ying Dong ◽  
Ting Zhang ◽  
Xining Li ◽  
Feng Yu ◽  
Yue Guo

2016 ◽  
Vol 93 ◽  
pp. 111-119 ◽  
Author(s):  
Faliang Gao ◽  
Lanbing Yu ◽  
Dong Zhang ◽  
Yan Zhang ◽  
Rong Wang ◽  
...  

2019 ◽  
Vol 8 (12) ◽  
pp. 5735-5749 ◽  
Author(s):  
Xin Lou ◽  
Jun Li ◽  
Dong Yu ◽  
Ya‐Qing Wei ◽  
Shuang Feng ◽  
...  

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Jen-Yang Tang ◽  
Jin-Ching Lee ◽  
Yung-Ting Chang ◽  
Ming-Feng Hou ◽  
Hurng-Wern Huang ◽  
...  

Long noncoding RNA (lncRNA) function is described in terms of related gene expressions, diseases, and cancers as well as their polymorphisms. Potential modulators of lncRNA function, including clinical drugs, natural products, and derivatives, are discussed, and bioinformatic resources are summarized. The improving knowledge of the lncRNA regulatory network has implications not only in gene expression, diseases, and cancers, but also in the development of lncRNA-based pharmacology.


2019 ◽  
Author(s):  
Saber HafezQorani ◽  
Aissa Houdjedj ◽  
Mehmet Arici ◽  
Abdesselam Said ◽  
Hilal Kazan

AbstractSummaryLong noncoding RNAs (lncRNAs) can act as molecular sponges or decoys for an RNA-binding protein (RBP) through their RBP binding sites, thereby modulating the expression of all target genes of the corresponding RBP of interest. Here, we present a web tool named RBPSponge to explore lncRNAs based on their potential to act as a sponge for an RBP of interest. RBPSponge identifies the occurrences of RBP binding sites and CLIP peaks on lncRNAs, and enables users to run statistical analyses to investigate the regulatory network between lncRNAs, RBPs and targets of RBPs.AvailabilityThe web server is available athttps://[email protected]


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