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BioMed Research International
Volume 2016, Article ID 3684875, 8 pages
http://dx.doi.org/10.1155/2016/3684875
Research Article

Genome-Wide Identification of Long Noncoding RNAs in Human Intervertebral Disc Degeneration by RNA Sequencing

1Department of Orthopaedic Surgery, The Second Affiliated Hospital of Medical College, Xi’an Jiaotong University, Xi’an 710004, China
2Department of Respiratory Medicine, Baoji People’s Hospital, Baoji 721000, China

Received 9 September 2016; Accepted 24 November 2016

Academic Editor: Bo Zuo

Copyright © 2016 Bo Zhao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Long noncoding RNAs (lncRNAs) are emerging as crucial players in a myriad of biological processes. However, the precise mechanism and functions of most lncRNAs are poorly characterized. In this study, we presented genome-wide identification of lncRNAs in the patients with intervertebral disc degeneration (IDD) and spinal cord injury (control) using RNA sequencing (RNA-seq). A total of 124.6 million raw reads were yielded using Hiseq 2500 platform and approximately 88% clean reads could be aligned to human reference genome in both IDD and control groups. RNA-seq profiling indicated that 1,854 lncRNAs were differentially expressed (log2 fold change ≥ 1 or , ), in which 1,530 could potentially target 6,386 genes via cis-regulatory effects. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis for these target genes suggested that lncRNAs were involved in diverse pathways, such as lysosome, focal adhesion, and MAPK signaling. In addition, a competing endogenous RNA (ceRNA) network was constructed for analyzing the function of lncRNAs. Further, quantitative real time PCR (qRT-PCR) was used to confirm the differentially expressed lncRNAs and ceRNA network. In conclusion, our results present the first global identification of lncRNAs in IDD and may provide candidate diagnostic biomarkers for IDD treatment.