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首页> 外文会议>2010 4th International Conference on Bioinformatics and Biomedical Engineering >Computational Identification Noncoding RNAs in Salvia Miltiorrhiza Bunge, Including 46 Conserved and Non-Conserved miRNAs
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Computational Identification Noncoding RNAs in Salvia Miltiorrhiza Bunge, Including 46 Conserved and Non-Conserved miRNAs

机译：计算鉴定丹参中的非编码RNA，包括46个保守和非保守miRNA。

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Regulatory non-coding RNAs (ncRNAs) including miRNAs, play important roles in diverse biological processes including chromatin modification, mRNA synthesis or stability, and protein synthesis or repression. Now more and more experimental validated ncRNA have been founded, in fact there are more regulatory ncRNA than we expected, with increasing transcribed data, it is the time for us to data mining ncRNA in plant and animal. Focusing on the functional genomics research of Danshen (a medicinal plant, Salvia miltiorrhiza Bunge) in our lab, in this article we use the EST data of Danshen to predict Danshen ncRNAs, but out method can apply to other plants and animals.To attempt to identify regulatory ncRNAs encoded by Danshen, we applied a computational method to predict ncRNAs and miRNAs. Altogether, we predicted of 3234 ncRNAs, including 301 assembled and 2933 singleton ncRNAs. Also we predicted of 46 miRNAs based on predicted ncRNA, 2 of them are conserved in other model plants. At last, we predicted 29 miRNA targets for these predicted miRNAs.
机译：包括miRNA在内的调控性非编码RNA（ncRNA）在多种生物过程中发挥重要作用，包括染色质修饰，mRNA合成或稳定性以及蛋白质合成或抑制。现在已经建立了越来越多的经过实验验证的ncRNA，实际上，比我们预期的要多的调控ncRNA，随着转录数据的增加，现在是时候在动植物中进行ncRNA数据挖掘了。本文以丹参（药用植物丹参）的功能基因组学为研究重点，利用丹参的EST数据预测丹参的ncRNA，但该方法可用于其他动植物。为了鉴定由丹参编码的调控性ncRNA，我们应用了一种计算方法来预测ncRNA和miRNA。我们总共预测了3234个ncRNA，包括301个组装的和2933个单例ncRNA。同样，我们基于预测的ncRNA预测了46个miRNA，其中2个在其他模型植物中是保守的。最后，我们为这些预测的miRNA预测了29个miRNA靶标。

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