LncRNA MIAT Upregulates NEGR1 by Competing for miR-150-5p as a Competitive Endogenous RNA in SCIRI Rats.

IF 2.6 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY International Journal of Genomics Pub Date : 2022-01-01 DOI:10.1155/2022/2942633
Zheng Wang, Jianguang Liu, Qiuxiang Yang, Mengjie Ma
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引用次数: 2

Abstract

Objective: Spinal cord ischemia-reperfusion injury (SCIRI) can cause a pathological state of irreversible delayed death of neurons in the spinal cord tissue and a range of complications, such as spinal cord dysfunction and motor function impairment. This study aimed to determine whether the long-stranded non-coding ribonucleic acid (lncRNA), myocardial infarction-associated transcript (MIAT), could upregulate neuronal growth regulator 1 (NEGR1) by competing for miR-150-5p as a competitive endogenous RNA in a rat SCIRI model.

Methods: The MIAT knockdown vector or the corresponding blank vector was injected into the spinal cord of healthy sprague Dawley (SD) rats. Administration of the MIAT knockdown vector led to the establishment of the SCIRI rat model. Basso, Beattie & Bresnahan locomotor rating scale (BBB) assessment of hind limb motion. Pathological changes in the spinal cord were observed via hematoxylin and eosin staining and eosin staining. Quantitative polymerase chain reaction was performed to determine the expression levels of the candidate microRNAs and predicted candidate genes, and the relationship between them. Terminal deoxynucleotidyl transferase-mediated dUTP-biotin nick end labeling assay (TUNEL) staining was used to detect apoptosis in the spinal cord tissue of rats in each group. Western blotting was performed to determine the expression of the apoptosis-related proteins, caspase-9, caspase-3, and BCL2-Associated X (Bax)/B-cell lymphoma-2 (Bcl-2). The luciferase reporter gene was used to assess the interaction among the lncRNA, MIAT, and miR-150-5, and the interaction between miR-150-5 and NEGR1.

Results: The sh-lncRNA, MIAT, improved exercise status, and pathological changes in the spinal cord of SCIRI rats, inhibited apoptosis, increased the expression of miR-150-5p, and reduced the expression of NEGR1. Compared with mimics-NC, the transfection of miR-150-5p significantly decreased the relative fluorescence activity ratio of MIAT 3'-untranslated region (3'-UTR) wild-type Human embryonic kidney cells 293 (HEK-293 cells). Compared with mimics-negative control (NC), the transfection of miR-150-5p significantly decreased the relative fluorescence activity ratio of NEGR1 3'-UTR wild-type HEK-293 cells.

Conclusion: MIAT can affect the symptoms of SCIRI in rats. Furthermore, as a competitive endogenous RNA, MIAT upregulates NEGR1 by competing with miR-150-5p in SCIRI rats.

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在SCIRI大鼠中,LncRNA MIAT作为竞争性内源性RNA竞争miR-150-5p,从而上调NEGR1。
目的:脊髓缺血再灌注损伤(sci -reperfusion injury, SCIRI)可导致脊髓组织神经元不可逆延迟死亡的病理状态及脊髓功能障碍、运动功能损害等一系列并发症。本研究旨在确定长链非编码核糖核酸(lncRNA),即心肌梗死相关转录物(MIAT),是否可以在大鼠SCIRI模型中通过竞争miR-150-5p作为竞争内源性RNA来上调神经元生长调节剂1 (NEGR1)。方法:将MIAT敲除载体或相应的空白载体注入健康SD大鼠脊髓。给药MIAT敲低载体导致SCIRI大鼠模型的建立。Basso, Beattie & Bresnahan运动评定量表(BBB)评估后肢运动。采用苏木精染色、伊红染色及伊红染色观察脊髓病理变化。采用定量聚合酶链反应测定候选microrna和预测候选基因的表达水平,以及它们之间的关系。采用末端脱氧核苷酸转移酶介导的dutp -生物素缺口末端标记法(TUNEL)染色检测各组大鼠脊髓组织的凋亡情况。Western blotting检测凋亡相关蛋白caspase-9、caspase-3和BCL2-Associated X (Bax)/ b细胞淋巴瘤-2 (Bcl-2)的表达。荧光素酶报告基因用于评估lncRNA、MIAT和miR-150-5之间的相互作用,以及miR-150-5与NEGR1之间的相互作用。结果:sh-lncRNA、MIAT、改善运动状态、改善SCIRI大鼠脊髓病理改变,抑制细胞凋亡,升高miR-150-5p表达,降低NEGR1表达。与mimics-NC相比,转染miR-150-5p可显著降低miat3 '-非翻译区(3'-UTR)野生型人胚胎肾细胞293 (HEK-293细胞)的相对荧光活性比。与模拟阴性对照(NC)相比,转染miR-150-5p可显著降低NEGR1 3'-UTR野生型HEK-293细胞的相对荧光活性比。结论:MIAT可影响大鼠SCIRI的症状。此外,作为一种竞争性内源性RNA, MIAT在SCIRI大鼠中通过与miR-150-5p竞争而上调NEGR1。
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来源期刊
International Journal of Genomics
International Journal of Genomics BIOCHEMISTRY & MOLECULAR BIOLOGY-BIOTECHNOLOGY & APPLIED MICROBIOLOGY
CiteScore
5.40
自引率
0.00%
发文量
33
审稿时长
17 weeks
期刊介绍: International Journal of Genomics is a peer-reviewed, Open Access journal that publishes research articles as well as review articles in all areas of genome-scale analysis. Topics covered by the journal include, but are not limited to: bioinformatics, clinical genomics, disease genomics, epigenomics, evolutionary genomics, functional genomics, genome engineering, and synthetic genomics.
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