长链非编码 RNA 影响 SD 大鼠坐骨神经的衰老过程。
Long Non-coding RNAs Influence Aging Process of Sciatic Nerves in SD Rats.
机构信息
Department of Plastic Surgery, the First Affiliated Hospital of Sun Yat-Sen University, No. 58 Zhongshan Road 2, Guangzhou 510080, China.
Department of Plastic Surgery, University of Tennessee Health Science Center, Memphis, TN, United States.
出版信息
Comb Chem High Throughput Screen. 2024;27(14):2140-2150. doi: 10.2174/1386207326666230907115800.
OBJECTIVES
To investigate the long non-coding RNAs (lncRNAs) changes in the sciatic nerve (SN) in Sprague Dawley (SD) rats during aging.
METHODS
Eighteen healthy SD rats were selected at the age of 1 month (1M) and 24 months (24M) and SNs were collected. High-throughput transcriptome sequencing and bioinformatics analysis were performed. Protein-protein interaction (PPI) networks and competing endogenous RNA (ceRNA) networks were established according to differentially expressed genes (DEGs).
RESULT
As the length of lncRNAs increased, its proportion to the total number of lncRNAs decreased. A total of 4079 DElncRNAs were identified in Con vs. 24M. GO analysis was primarily clustered in nerve and lipid metabolism, extracellular matrix, and vascularization-related fields. There were 17 nodes in the PPI network of the target genes of up-regulating genes including Itgb2, Lox, Col11a1, Wnt5a, Kras, . Using quantitative RT-PCR, microarray sequencing accuracy was validated. There were 169 nodes constructing the PPI network of down-regulated target genes, mainly including Col1a1, Hmgcs1, Hmgcr. CeRNA interaction networks were constructed.
CONCLUSION
Lipid metabolism, angiogenesis, and ECM fields might play an important role in the senescence process in SNs. Col3a1, Serpinh1, Hmgcr, and Fdps could be candidates for nerve aging research.
目的
研究衰老过程中 SD 大鼠坐骨神经(SN)中长链非编码 RNA(lncRNAs)的变化。
方法
选择 1 月龄(1M)和 24 月龄(24M)的 18 只健康 SD 大鼠,收集 SN。进行高通量转录组测序和生物信息学分析。根据差异表达基因(DEGs)构建蛋白质-蛋白质相互作用(PPI)网络和竞争内源性 RNA(ceRNA)网络。
结果
随着 lncRNAs 长度的增加,其占总 lncRNAs 的比例降低。在 Con 与 24M 之间共鉴定出 4079 个 DE-lncRNAs。GO 分析主要聚类在神经和脂质代谢、细胞外基质和血管生成相关领域。上调基因靶基因的 PPI 网络中有 17 个节点,包括 Itgb2、Lox、Col11a1、Wnt5a、Kras 等。通过定量 RT-PCR 验证了微阵列测序的准确性。构建下调靶基因的 PPI 网络有 169 个节点,主要包括 Col1a1、Hmgcs1、Hmgcr。构建 ceRNA 相互作用网络。
结论
脂质代谢、血管生成和 ECM 领域可能在 SN 衰老过程中发挥重要作用。Col3a1、Serpinh1、Hmgcr 和 Fdps 可能是神经老化研究的候选基因。