CAJ | 학술논문

目的：通过对髓源性神经干细胞与运动神经元的 miRNA 表达谱的测定，确定运动神经元中高表达的miRNA 和低表达 miRNA 的个数，研究这种方法的可行性。方法采用 Applied Biosystems 公司的 TagMan 低密度阵列（TLDA）技术实现对二者的 miRNA 表达谱的技术检测，并通过 PCR 生产 U6 snRNA 的扩增曲线，对二者的差异性进行比较。结果运动神经元中高表达的 miRNA 共有60个，低表达的 miRNA 共有35个，髓源性神经干细胞与运动神经元两种细胞的扩增曲线呈现出明显的“S”形曲线。对于4种具有代表性的 TLDA 筛选出来的4种具有差异性的 miRNA 进行表达检测，并对检测结果进行定量结果分析，并进行相关线性比较，经过模拟曲线得出线性相关 r ＝0.978，P ＝0.017，显示相关性好。结论髓源性神经干细胞与运动神经元两种细胞的扩增曲线呈现出明显的“ S”形曲线，可见二者的表达性差异。TLDA 技术在髓源性神经干细胞与运动神经元的 miRNA 表达谱检测中发挥重要的作用，值得推广和应用。
목적：통과대수원성신경간세포여운동신경원적 miRNA 표체보적측정，학정운동신경원중고표체적miRNA 화저표체 miRNA 적개수，연구저충방법적가행성。방법채용 Applied Biosystems 공사적 TagMan 저밀도진렬（TLDA）기술실현대이자적 miRNA 표체보적기술검측，병통과 PCR 생산 U6 snRNA 적확증곡선，대이자적차이성진행비교。결과운동신경원중고표체적 miRNA 공유60개，저표체적 miRNA 공유35개，수원성신경간세포여운동신경원량충세포적확증곡선정현출명현적“S”형곡선。대우4충구유대표성적 TLDA 사선출래적4충구유차이성적 miRNA 진행표체검측，병대검측결과진행정량결과분석，병진행상관선성비교，경과모의곡선득출선성상관 r ＝0.978，P ＝0.017，현시상관성호。결론수원성신경간세포여운동신경원량충세포적확증곡선정현출명현적“ S”형곡선，가견이자적표체성차이。TLDA 기술재수원성신경간세포여운동신경원적 miRNA 표체보검측중발휘중요적작용，치득추엄화응용。
Objective To determine the marrow - derived neural stem cells and motor neurons miRNA expression profiling,to determine the number of miRNA and miRNA expression lower motor neurons in the high expression to study the feasibility of this approach. Methods This method of this experimental study is produced by the company Applied Biosystems TLDA technology,which was used to detect miRNA expression profiles. By PCR amplification curves,U6 snRNA of production was used to compare the differences between the two group. Results For the marrow - derived neural stem cells and motor neurons miRNA expression profiling studies,we identified miRNA expression in motor neurons of a total of 60,miRNA total of 35 low expression. A representative for the four kinds TLDA screening out of four kinds of miRNA expression were de-tected. The test results for quantitative analysis of results was associated with linear comparison. The curve showed simulation of linear correlation r = 0. 978. Conclusion Marrow - derived neural stem cells and amplification curves of two motor neuron cells showing a clear "S" shaped curve, showing expression differences between them. TLDA technology miRNA marrow - derived neural stem cells and expression profiling of motor neu-rons play an important role in the detection. This method should be worthy of promotion and application.