Open Access

Construction and analysis of a spinal cord injury competitive endogenous RNA network based on the expression data of long noncoding, micro‑ and messenger RNAs

  • Authors:
    • Linbang Wang
    • Bing Wang
    • Jingkun Liu
    • Zhengxue Quan
  • View Affiliations

  • Published online on: February 22, 2019     https://doi.org/10.3892/mmr.2019.9979
  • Pages: 3021-3034
  • Copyright: © Wang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Spinal cord injury (SCI) results from trauma and predominantly affects the young male population. SCI imposes major and permanent life changes, and is associated with high future mortality and disability rates. Long non-coding RNAs (lncRNAs) have recently been demonstrated to serve critical roles in a broad range of biological processes and to be expressed in various diseases, including in SCI. However, the precise mechanisms underlying the roles of lncRNAs in SCI pathogenesis remain unexplored. In the present study, the aim was to identify critical differentially expressed lncRNAs in SCI based on the competing endogenous RNA (ceRNA) hypothesis by mining data from the Gene Expression Omnibus database of the National Center for Biotechnology Information and to unveil the functions of these lncRNAs. Different approaches and tools were employed to establish a network consisting of 13 lncRNA, 93 messenger RNA and 9 microRNA nodes, with a total of 202 edges. Three node lncRNAs were identified based on the degree distribution of the nodes, and their corresponding subnetworks were subsequently constructed. Based on these subnetworks, the biological pathways and interactions of these 3 lncRNAs were detailed using FunRich software (version 3.0). The primary results of the 3 lncRNA enrichment analyses were that they were associated with autophagy, extracellular communication and transcription factor networks, respectively. The phosphoinositide 3‑kinase/protein kinase B/mammalian target of rapamycin signaling pathway of XR_350851 was the classic autophagy pathway, indicating that XR_350851 may regulate autophagy in SCI. The possible role of XR_350851 in SCI revealed in the current study based on the regulatory mechanism of ceRNAs has uncovered a new repertoire of molecular factors with potential as novel biomarkers and therapeutic targets in SCI.
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April-2019
Volume 19 Issue 4

Print ISSN: 1791-2997
Online ISSN:1791-3004

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Spandidos Publications style
Wang L, Wang B, Liu J and Quan Z: Construction and analysis of a spinal cord injury competitive endogenous RNA network based on the expression data of long noncoding, micro‑ and messenger RNAs. Mol Med Rep 19: 3021-3034, 2019
APA
Wang, L., Wang, B., Liu, J., & Quan, Z. (2019). Construction and analysis of a spinal cord injury competitive endogenous RNA network based on the expression data of long noncoding, micro‑ and messenger RNAs. Molecular Medicine Reports, 19, 3021-3034. https://doi.org/10.3892/mmr.2019.9979
MLA
Wang, L., Wang, B., Liu, J., Quan, Z."Construction and analysis of a spinal cord injury competitive endogenous RNA network based on the expression data of long noncoding, micro‑ and messenger RNAs". Molecular Medicine Reports 19.4 (2019): 3021-3034.
Chicago
Wang, L., Wang, B., Liu, J., Quan, Z."Construction and analysis of a spinal cord injury competitive endogenous RNA network based on the expression data of long noncoding, micro‑ and messenger RNAs". Molecular Medicine Reports 19, no. 4 (2019): 3021-3034. https://doi.org/10.3892/mmr.2019.9979