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Author:
Date:
2016-04-20
[Abstract] Although temporal regulation of gene expression during the course of infection is known to be critical for determining the outcome of host-virus interactions, systematic temporal analysis of the miRNA targetomes during productive viral infection has been technically challenging due to the large range of miRNA-mRNA cross-talks at the host-virus interface. High-confidence quantifying models of the suppression efficacy in targeting sites by integrating bioinformatics with Argonaute-crosslinking and immunoprecipitation followed by high-throughput sequencing (AGO-CLIP-seq) (Chi et al., 2009) data have been poorly developed. To accurately identify miRNA target sites and calculate the targeting efficacy of miRNA-target interactions, we developed a new bioinformatic quantitation method, ...
[摘要] 尽管已知在感染过程中基因表达的时间调节对于确定宿主 - 病毒相互作用的结果是至关重要的，但是在生产性病毒感染期间对miRNA targetomes的系统时间分析在技术上是具有挑战性的，因为大范围的miRNA- mRNA在主机 - 病毒接口交叉对话。数据通过将生物信息学与Argonaute-交联和免疫沉淀接着高通量测序（AGO-CLIP-seq）数据（Chi等人，2009）数据结合，已经不发达。为了准确地鉴定miRNA靶位点并计算miRNA-靶相互作用的靶向效果，我们开发了新的生物信息学定量方法，即AGO-CLIP-seq富集（ACE） - 评分算法（Kim等， 2015）。在我们的AGO-CLIP-seq分析中包括未感染的对照可以显着提高病毒或人miRNA的真实靶位点识别的准确性，并且在我们的ACE评分方法中提取生产性人巨细胞病毒（HCMV）感染期间的生理学显着变化。因此，我们建议我们新的基于ACE评分的方法可以应用于各种miRNA targetome研究，这将在其他类型的时间背景下进行，如发展阶段，细胞因子或病原体的免疫刺激和其他病毒。
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