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Research Paper|Volume 11, Issue 8|pp 2352—2368

Identification of noncoding RNA expression profiles and regulatory interaction networks following traumatic spinal cord injury by sequence analysis

Wenzhao Wang1,2, Yanlin Su1, Shi Tang3, Hongfei Li1, Wei Xie4, Jianan Chen1, Lin Shen1, Xinda Pan1, Bin Ning1
  • 1Jinan Central Hospital Affiliated to Shandong University, Jinan, China
  • 2Department of Orthopaedics, West China Hospital, Sichuan University, Chengdu, China
  • 3Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
  • 4Department Emergency Medicine, Affiliated Hospital of Taishan Medical University, Taian, China
Received: March 11, 2019Accepted: April 10, 2019Published: April 18, 2019
https://doi.org/10.18632/aging.101919

Copyright: Wang et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Aim: To systematically profile and characterize the noncoding RNA (ncRNA) expression pattern in the lesion epicenter of spinal tissues after traumatic spinal cord injury (TSCI) and predicted the structure and potential functions of the regulatory networks associated with these differentially expressed ncRNAs and mRNAs.

Results: A total of 498 circRNAs, 458 lncRNAs, 155 miRNAs and 1203 mRNAs were identified in TSCI mice models to be differentially expressed. The regulatory networks associated with these differentially expressed ncRNAs and mRNAs were constructed.

Materials and methods: We used RNA-Seq, Gene ontology (GO), KEGG pathway analysis and co-expression network analyses to profle the expression and regulation patterns of noncoding RNAs and mRNAs of mice models after TSCI. The findings were validated by quantitative real-time PCR (qRT-PCR) and Luciferase assay.

Conclusion: noncoding RNAs might play important roles via the competing endogenous RNA regulation pattern after TSCI, further findings arising from this study will not only expand the understanding of potential ncRNA biomarkers but also help guide therapeutic strategies for TSCI.