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MicroRNA binding sites in C. elegans 3 ' UTRs

机译:秀丽隐杆线虫3'UTR中的MicroRNA结合位点

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MicroRNAs (miRNAs) are post-transcriptional regulators of gene expression. Since the discovery of lin-4, the founding member of the miRNA family, over 360 miRNAs have been identified for Caenorhabditis elegans (C. elegans). Prediction and validation of targets are essential for elucidation of regulatory functions of these miRNAs. For C. elegans, crosslinking immunoprecipitation (CLIP) has been successfully performed for the identification of target mRNA sequences bound by Argonaute protein ALG-1. In addition, reliable annotation of the 3' untranslated regions (3' UTRs) as well as developmental stage-specific expression profiles for both miRNAs and 3' UTR isoforms are available. By utilizing these data, we developed statistical models and bioinformatics tools for both transcriptome-scale and developmental stage-specific predictions of miRNA binding sites in C. elegans 3' UTRs. In performance evaluation via cross validation on the ALG-1 CLIP data, the models were found to offer major improvements over established algorithms for predicting both seed sites and seedless sites. In particular, our top-ranked predictions have a substantially higher true positive rate, suggesting a much higher likelihood of positive experimental validation. A gene ontology analysis of stage-specific predictions suggests that miRNAs are involved in dynamic regulation of biological functions during C. elegans development. In particular, miRNAs preferentially target genes related to development, cell cycle, trafficking, and cell signaling processes. A database for both transcriptome-scale and stage-specific predictions and software for implementing the prediction models are available through the Sfold web server at http://sfold.wadsworth.org.
机译:MicroRNA(miRNA)是基因表达的转录后调节因子。自发现mi-4家族的创始成员lin-4以来,已经鉴定出超过360种miRNA,用于秀丽隐杆线虫(C. elegans)。目标的预测和验证对于阐明这些miRNA的调控功能至关重要。对于秀丽隐杆线虫,已经成功进行了交联免疫沉淀(CLIP),以鉴定由Argonaute蛋白ALG-1结合的靶mRNA序列。此外,还提供了可靠的3'非翻译区(3'UTR)注释以及miRNA和3'UTR同工型的发育阶段特异性表达谱。通过利用这些数据,我们开发了统计模型和生物信息学工具,用于秀丽隐杆线虫3'UTR中miRNA结合位点的转录组规模和发育阶段特异性预测。在通过对ALG-1 CLIP数据进行交叉验证的性能评估中,发现该模型相对于用于预测种子位置和无种子位置的既定算法提供了重大改进。特别是,我们排名靠前的预测的真实阳性率要高得多,这表明阳性实验验证的可能性更高。对阶段特异性预测的基因本体分析表明,miRNA参与秀丽隐杆线虫发育期间的生物学功能的动态调节。特别是,miRNA优先靶向与发育,细胞周期,运输和细胞信号传导过程相关的基因。可通过位于http://sfold.wadsworth.org的Sfold Web服务器获得用于转录组规模和特定阶段预测的数据库以及用于实现预测模型的软件。

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