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首页> 外文期刊>Journal of viral hepatitis. >Degree and distribution of variability in the 5' untranslated, E1, E2/NS1 and NS5 regions of the hepatitis C virus (HCV).
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Degree and distribution of variability in the 5' untranslated, E1, E2/NS1 and NS5 regions of the hepatitis C virus (HCV).

机译:丙型肝炎病毒(HCV)5'非翻译区,E1,E2 / NS1和NS5区的变异程度和分布。

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摘要

Hepatitis C virus (HCV) shows a high degree of variability resulting in many different variants. In this work we described the variability of several subgenomic fragments from the 5' untranslated region (5'-UTR) and E1, E2/NS1 and NS5 regions comparing, for every position, all the sequences published in GenBank v. 88 (July 1995) as well as new sequences obtained in this work. Variability was determined in two ways. First, we analysed the degree and type of substitutions found in these regions. Second, we defined the most variable and conserved segments in each region and compared our prediction with previous studies. Our results confirm that HCV variability changes along the different regions. Although we found four variable domains in the 5'-UTR, this region was the only one to contain conserved domains. Envelope (E1, E2/NS1) and NS5 regions showed high variability throughout; however, we were able to define six and three hypervariable domains, respectively. The degree and distribution of variability established in this work is supported by the high number of sequences and the different types included in the study. Knowledge of how variability is distributed along the different regions of the HCV genome could be of use in the design of new diagnostic and therapeutic strategies against HCV infection.
机译:丙型肝炎病毒(HCV)显示出高度的变异性,从而导致许多不同的变异。在这项工作中,我们描述了来自5'非翻译区(5'-UTR)和E1,E2 / NS1和NS5区的几个亚基因组片段的变异性,比较了每个位置在GenBank v。88(1995年7月)以及这项工作中获得的新序列。可变性通过两种方式确定。首先,我们分析了在这些区域中发现的取代的程度和类型。其次,我们定义了每个区域中变化最大且最保守的片段,并将我们的预测与以前的研究进行了比较。我们的结果证实,HCV变异性沿不同区域变化。尽管我们在5'-UTR中发现了四个可变域,但该区域是唯一包含保守域的区域。信封(E1,E2 / NS1)和NS5区域在整个过程中显示出较高的可变性。但是,我们能够分别定义六个和三个高变域。这项工作中确定的可变性的程度和分布受到大量序列和研究中所包含的不同类型的支持。关于如何沿着HCV基因组的不同区域分布变异性的知识可用于设计针对HCV感染的新诊断和治疗策略。

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