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Simultaneous Comparison of Gene Expression levels between six different sources by source-specific adapter mediated PCR and pyrosequencing

机译:通过源特异性衔接介导的PCR和焦磷酸盐和焦磷酸术语同时比较六种不同来源之间的基因表达水平

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To globally understand the gene function, an efficient method to comparatively detect the expression levels of a given gene at different tissue or at different state is required. Here we describe a novel method for gene expression profiling between six different sources. This method includes five steps: (1) Extract total RNA from different tissues or cells and followed by a reverse-transcription into double-stranded cDNA (ds-cDNA);(2) Digest the ds-cDNA with restriction endonucleases Mbo I; (3) Label the digested ds-cDNA fragments with source-specific adapters by T4 ligase; (4) Amplify the ligated fragments with a universal primer and a gene specific primer; (5) Decode the sequence of the source-specific area in the amplicons by pyrosequencing. The sequence in the pyrogram represents the source of the gene, and the intensity of the peak represents the relative expression level. The signal ratio reflects the proportion of the amount of mRNAs between different sources. The GAPDH gene and the β-actin gene in mouse Mus tissue were employed for evaluating the method. The relative expression level of the GAPDH gene and the β-actin gene between six identical sources was determined as 0.94:0.93:1.04:0.94:1.06:1.09, and 0.92:0.94:1.05:0.91:0.97:1.2 respectively. These results are very close to the theoretical ratio of 1:1:1:1:1:1; indicating that the method is very accurate for comparing the gene expression level between multiple sources.
机译:为了全球理解基因函数,需要一种有效的方法,以相对检测不同组织或不同状态的给定基因的表达水平。在这里,我们描述了六种不同来源之间基因表达分析的新方法。该方法包括五个步骤:(1)从不同组织或细胞中提取总RNA,然后将反转转录成双链cDNA(DS-cDNA);(2)用限制性内切核酸酶MBO I消化DS-cDNA; (3)用T4连接酶用源特异性适配器标记消化的DS-cDNA片段; (4)用环状引物和基因特异性底漆扩增连接的片段; (5)解码通过焦点测序解码扩增子中的源特定区域的序列。曲面图中的序列表示基因的源,峰的强度表示相对表达水平。信号比反映了不同来源MRNA的量的比例。使用小鼠胃组织中的GAPDH基因和β-肌动蛋白基因进行评估方法。 GAPDH基因的相对表达水平和六个相同来源之间的β-肌动蛋白基因测定为0.94:0.93:1.04:0.94:1.06:1.09和0.92:0.94:1.05:0.91:0.97:1.2。这些结果非常接近理论比率为1:1:1:1:1;表明该方法对于比较多种来源之间的基因表达水平非常准确。

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