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基于SHEE和SHEEC细胞系比较构建的计算性ceRNA相互作用网络。

A computationally constructed ceRNA interaction network based on a comparison of the SHEE and SHEEC cell lines.

作者信息

Sun Jiachun, Yan Junqiang, Yuan Xiaozhi, Yang Ruina, Dan Tanyou, Wang Xinshuai, Kong Guoqiang, Gao Shegan

机构信息

Department of Oncology, Cancer Institute, First Affiliated Hospital of Henan University of Science and Technology, Luoyang, People's Republic of China.

Department of Neurology, Cancer Institute, First Affiliated Hospital of Henan University of Science and Technology, Luoyang, People's Republic of China.

出版信息

Cell Mol Biol Lett. 2016 Sep 26;21:21. doi: 10.1186/s11658-016-0022-0. eCollection 2016.

DOI:10.1186/s11658-016-0022-0
PMID:28536623
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5415789/
Abstract

Long non-coding RNAs (lncRNAs) play critical and complicated roles in the regulation of various biological processes, including chromatin modification, transcription and post-transcriptional processing. Interestingly, some lncRNAs serve as miRNA "sponges" that inhibit interaction with miRNA targets in post-transcriptional regulation. We constructed a putative competing endogenous RNA (ceRNA) network by integrating lncRNA, miRNA and mRNA expression based on high-throughput RNA sequencing and microarray data to enable a comparison of the SHEE and SHEEC cell lines. Using Targetscan and miRanda bioinformatics algorithms and miRTarbase microRNA-target interactions database, we established that 51 miRNAs sharing 13,623 MREs with 2260 genes and 82 lncRNAs were involved in this ceRNA network. Through a biological function analysis, the ceRNA network appeared to be primarily involved in cell proliferation, apoptosis, the cell cycle, invasion and metastasis. Functional pathway analyses demonstrated that the ceRNA network potentially modulated multiple signaling pathways, such as the MAPK, Ras, HIF-1, Rap1, and PI3K/Akt signaling pathways. These results might provide new clues to better understand the regulation of the ceRNA network in cancer.

摘要

长链非编码RNA(lncRNA)在包括染色质修饰、转录和转录后加工在内的各种生物过程的调控中发挥着关键而复杂的作用。有趣的是,一些lncRNA充当miRNA“海绵”,在转录后调控中抑制与miRNA靶标的相互作用。我们基于高通量RNA测序和微阵列数据,整合lncRNA、miRNA和mRNA表达构建了一个假定的竞争性内源RNA(ceRNA)网络,以便比较SHEE和SHEEC细胞系。使用Targetscan和miRanda生物信息学算法以及miRTarbase microRNA-靶标相互作用数据库,我们确定51个与2260个基因共享13623个微小RNA反应元件(MRE)的miRNA和82个lncRNA参与了这个ceRNA网络。通过生物学功能分析,ceRNA网络似乎主要参与细胞增殖、凋亡、细胞周期、侵袭和转移。功能通路分析表明,ceRNA网络可能调控多个信号通路,如MAPK、Ras、HIF-1、Rap1和PI3K/Akt信号通路。这些结果可能为更好地理解癌症中ceRNA网络的调控提供新线索。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7131/5415789/1d4ae4c05c92/11658_2016_22_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7131/5415789/a427d753ec3c/11658_2016_22_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7131/5415789/9bb4c894f96c/11658_2016_22_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7131/5415789/cb943c429830/11658_2016_22_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7131/5415789/d6dedbe02420/11658_2016_22_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7131/5415789/c862baf1b1b2/11658_2016_22_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7131/5415789/1d4ae4c05c92/11658_2016_22_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7131/5415789/a427d753ec3c/11658_2016_22_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7131/5415789/9bb4c894f96c/11658_2016_22_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7131/5415789/cb943c429830/11658_2016_22_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7131/5415789/d6dedbe02420/11658_2016_22_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7131/5415789/c862baf1b1b2/11658_2016_22_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7131/5415789/1d4ae4c05c92/11658_2016_22_Fig6_HTML.jpg

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