Comprehensive Analysis of Differentially Expressed lncRNAs miRNAs and mRNA and Their ceRNA Network of Patients With Rare-Earth Pneumoconiosis.
Comprehensive Analysis of Differentially Expressed lncRNAs miRNAs and mRNA and Their ceRNA Network of Patients With Rare-Earth Pneumoconiosis.
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稀土尘肺病患者差异表达lncRNA miRNA和mRNA及其ceRNA网络综合分析
DOI：
10.3389/fgene.2021.700398
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发表时间：
2021
影响因子：
3.7
通讯作者：
Wang SH
中科院分区：
文献类型：
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作者：
Shi XM;Bai YC;Gao YR;Bu N;Song HY;Huang LH;Zhao YH;Wang SH
Rare-earth pneumoconiosis (REP) is the main occupational disease of rare earth exposed workers and there is no specific treatment. In this study, we performed high-throughput sequencing on the plasma of nine REP to describe and analyze the expression profiles of long non-coding RNA (lncRNA), micro RNA (miRNA) and mRNA and investigate their regulatory networks. Our results identified a total of 125 lncRNAs, 5 miRNAs, and 82 mRNAs were differentially expressed in the plasma of patients with REP. Furthermore, Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were used to analyze the differentially expressed non-coding RNAs (ncRNA). We found the differential expression of ncRNA are mainly related to the response of cells to stimulation, Hedgehog signaling pathway and so on. We also constructed lncRNA-miRNA-mRNA networks to further explore their underlying mechanism and possible relationships in REP. We found that in the competitive endogenous RNA (ceRNA) networks, lncRNA acts as a sponge of miRNA to regulate the target gene. The expression results were verified by qRT-PCR and the protein interaction networks of differentially expressed genes were constructed via the STRING database. OncoLnc online platform was used to do the lung cancer survival analysis among the top five mRNA analyzed by Protein-protein interaction (PPI) network analysis. We found miR-16-2-3p may used as biomarker for REP, because it is closely related to the occurrence and prognosis of REP through inflammatory reaction and in lung squamous cell carcinoma, its expression levels were positively correlated with the overall survival rate of patients.
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影响因子：
4.2
作者：
Matsuura K;Aizawa N;Enomoto H;Nishiguchi S;Toyoda H;Kumada T;Iio E;Ito K;Ogawa S;Isogawa M;Alter HJ;Tanaka Y
通讯作者：
Tanaka Y
影响因子：
6.1
作者：
Nociti V;Santoro M
通讯作者：
Santoro M
长非编码 RNA SNHG5 通过调节 miR-26a-5p/GSK3β 信号通路促进人肝细胞癌进展
影响因子：
9
作者：
Li Y;Guo D;Zhao Y;Ren M;Lu G;Wang Y;Zhang J;Mi C;He S;Lu X
通讯作者：
Lu X
影响因子：
5.1
作者：
Chen, Xiao-Qing;Wu, Sheng-Hua;Sun, Zhong-yi
通讯作者：
Sun, Zhong-yi
IgA 肾病患者分泌型 IgA 刺激人系膜细胞的增殖和细胞因子产生
影响因子：
--
作者：
Liang, Yan;Zhang, Junjun;Liu, Zhangsuo
通讯作者：
Liu, Zhangsuo