Identification and characterization of lncRNA mediated transcriptional dysregulation dictates lncRNA roles in glioblastoma
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Yongsheng Li1,*, Zishan Wang1,*, Yuan Wang1,*, Zheng Zhao1, Jinwen Zhang1, Jianping Lu1, Juan Xu1, Xia Li1
1College of Bioinformatics Science and Technology and Bio-Pharmaceutical Key Laboratory of Heilongjiang Province, Harbin Medical University, Harbin 150081, China
*These authors contributed equally to this work
Xia Li, email: email@example.com
Juan Xu, email: firstname.lastname@example.org
Keywords: long non-coding RNA, transcriptional dysregulation, lncRNA roles, lncRNA modulator, lncRNA-TF-gene triplets
Received: September 14, 2015 Accepted: January 27, 2016 Published: March 01, 2016
Long non-coding RNAs (lncRNAs) modulate gene expression, and lncRNA misregulation is associated with cancer. However, precise functional roles in biological and disease processes have been described for only a few lncRNAs. Identification of genome-wide lncRNA-mediated transcriptional dysregulations may improve cancer treatments. In the present study, we used a computational framework that combined lncRNA and gene expression profiles with transcription factor (TF)-target relationships to comprehensively identify dysregulatory lncRNA-TF-gene triplets. In glioblastoma (GBM), we found that most lncRNAs affect multiple targets and primarily affect TF activity in trans. Six different classes of lncRNA-mediated transcriptional dysregulations were identified, with most lncRNAs either enhancing or attenuating target gene expression. Functional analysis of lncRNAs via their dysregulated targets implicated lncRNA modulators in some hallmarks of cancer, providing a new way to predict lncRNA function. Finally, we identified several lncRNA-TF-gene triplets (including HOTAIR-MXI1-CD58/PRKCE and HOTAIR-ATF5-NCAM1) that are associated with glioblastoma prognosis. The integration of lncRNA modulators into transcriptional regulatory networks will further enhance our understanding of lncRNA functions in cancer.
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