动物中的微小RNA靶标预测

microRNA target predictions in animals.

作者信息

Rajewsky Nikolaus

机构信息

Center for Comparative Functional Genomics Department of Biology, 100 Washington Square East, New York, New York 10003, USA.

出版信息

Nat Genet. 2006 Jun;38 Suppl:S8-13. doi: 10.1038/ng1798.

Abstract

In recent years, microRNAs (miRNAs) have emerged as a major class of regulatory genes, present in most metazoans and important for a diverse range of biological functions. Because experimental identification of miRNA targets is difficult, there has been an explosion of computational target predictions. Although the initial round of predictions resulted in very diverse results, subsequent computational and experimental analyses suggested that at least a certain class of conserved miRNA targets can be confidently predicted and that this class of targets is large, covering, for example, at least 30% of all human genes when considering about 60 conserved vertebrate miRNA gene families. Most recent approaches have also shown that there are correlations between domains of miRNA expression and mRNA levels of their targets. Our understanding of miRNA function is still extremely limited, but it may be that by integrating mRNA and miRNA sequence and expression data with other comparative genomic data, we will be able to gain global and yet specific insights into the function and evolution of a broad layer of post-transcriptional control.

摘要

近年来,微小RNA(miRNA)已成为一类主要的调控基因,存在于大多数后生动物中,对多种生物学功能至关重要。由于通过实验鉴定miRNA靶标很困难,因此计算靶标预测数量激增。尽管第一轮预测结果差异很大,但随后的计算和实验分析表明,至少可以可靠地预测某一类保守的miRNA靶标,而且这类靶标数量众多,例如,考虑约60个保守的脊椎动物miRNA基因家族时,至少覆盖所有人类基因的30%。最近的方法还表明,miRNA表达域与其靶标的mRNA水平之间存在相关性。我们对miRNA功能的理解仍然极为有限,但通过将mRNA和miRNA序列及表达数据与其他比较基因组数据整合起来,或许能够全面而具体地洞察转录后调控这一广泛层面的功能和进化。

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