中国神经再生研究(英文版) ›› 2022, Vol. 17 ›› Issue (10): 2300-2304.doi: 10.4103/1673-5374.337052

• 原著:脊髓损伤修复保护与再生 • 上一篇    下一篇

大鼠脊髓半横断损伤后长链非编码RNA的表达及调控网络

  

  • 出版日期:2022-10-15 发布日期:2022-03-16

Expression and regulatory network of long noncoding RNA in rats after spinal cord hemisection injury

Wei Liu1, Jin-Cheng Tao2, Sheng-Ze Zhu2, Chao-Lun Dai2, Ya-Xian Wang1, Bin Yu1, Chun Yao1, Yu-Yu Sun3   

  1. 1Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu Province, China; 2Medical College, Nantong University, Nantong, Jiangsu Province, China; 3Department of Orthopedics, Nantong Third People’s Hospital, Nantong University, Nantong, Jiangsu Province, China
  • Online:2022-10-15 Published:2022-03-16
  • Contact: Chun Yao, PhD, yaochun@ntu.edu.cn; Yu-Yu Sun, MD, sunyuyunt@126.com.

摘要:

长链非编码RNA可参与多种生物过程和疾病,而脊髓损伤后长链非编码RNA的表达和功能的变化以及其潜在机制仍知之甚少。实验在T10右侧半横断损伤后不同时间观察大鼠的损伤神经近端的长链非编码RNA的表达变化。结果发现有445种长链非编码RNA和6522种mRNA的表达发生显著变化。进一步将差异表达的长链非编码RNA分为26类表达类型,选择其中差异最大的2个类型Profile 25和Profile 2进行分析。结果显示,Profile 25中的68种长链非编码RNA的表达首先上升,3 d后保持高表达;有387种mRNA与这些长链非编码RNA共表达;两者的共表达网络显示共表达的基因主要富集在细胞分裂和炎症反应中以及FcγR介导的细胞吞噬信号通路、细胞周期和细胞凋亡中。提示Profile 25中长链非编码RNA主要参与细胞周期、细胞凋亡和炎症反应。Profile 2中的56种长链非编码RNA表达先下降,3d后保持低表达,有387种mRNA与这些长链非编码RNA共表达。两者的共表达网络显示共表达基因主要在化学突触传递过程中富集,且主要富集在神经活性配体-受体相互作用的信号通路中。实验结果阐明脊髓损伤后主要的长链非编码RNA的表达和调控网络,并阐明了它们共表达的基因富集的生物学过程和信号通路,这将为SCI的治疗提供了帮助。

https://orcid.org/0000-0002-9742-8139 (Wei Liu)

关键词: 脊髓损伤, 长链非编码RNA, RNA测序, 生物过程, 生物信息学分析, KEGG分析, GO分析, 调控网络, 炎症反应, 突触传递

Abstract: Long noncoding RNAs (lncRNAs) participate in a variety of biological processes and diseases. However, the expression and function of lncRNAs after spinal cord injury has not been extensively analyzed. In this study of right side hemisection of the spinal cord at T10, we detected the expression of lncRNAs in the proximal tissue of T10 lamina at different time points and found 445 lncRNAs and 6522 mRNA were differentially expressed. We divided the differentially expressed lncRNAs into 26 expression trends and analyzed Profile 25 and Profile 2, the two expression trends with the most significant difference. Our results showed that the expression of 68 lncRNAs in Profile 25 rose first and remained high 3 days post-injury. There were 387 mRNAs co-expressed with the 68 lncRNAs in Profile 25. The co-expression network showed that the co-expressed genes were mainly enriched in cell division, inflammatory response, FcγR-mediated cell phagocytosis signaling pathway, cell cycle and apoptosis. The expression of 56 lncRNAs in Profile2 first declined and remained low after 3 days post-injury. There were 387 mRNAs co-expressed with the 56 lncRNAs in Profile 2. The co-expression network showed that the co-expressed genes were mainly enriched in the chemical synaptic transmission process and in the signaling pathway of neuroactive ligand-receptor interaction. The results provided the expression and regulatory network of the main lncRNAs after spinal cord injury and clarified their co-expressed gene enriched biological processes and signaling pathways. These findings provide a new direction for the clinical treatment of spinal cord injury.

Key words: bioinformatic analysis, biological process, gene ontology analysis, inflammatory response, Kyoto encyclopedia of genes and genomes analysis, long noncoding RNAs, regulatory network, RNA sequencing, spinal cord injury, synaptic transmission