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Aging (Albany NY). 2019 Apr 18;11(8):2352-2368. doi: 10.18632/aging.101919.

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

Author information

1
Jinan Central Hospital Affiliated to Shandong University, Jinan, China.
2
Department of Orthopaedics, West China Hospital, Sichuan University, Chengdu, China.
3
Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
4
Department Emergency Medicine, Affiliated Hospital of Taishan Medical University, Taian, China.

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.

KEYWORDS:

axonal regeneration; competing endogenous RNA; noncoding RNA; traumatic spinal cord injury

PMID:
30998503
DOI:
10.18632/aging.101919
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