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用于识别和注释结构RNA基序的信息资源。

Informatic resources for identifying and annotating structural RNA motifs.

作者信息

George Ajish D, Tenenbaum Scott A

机构信息

Gen*NY*Sis Center for Excellence in Cancer Genomics, Department of Biomedical Sciences, School of Public Health, University at Albany-SUNY, 1 Discovery Drive, Room 220, Rensselaer, NY 12144, USA.

出版信息

Mol Biotechnol. 2009 Feb;41(2):180-93. doi: 10.1007/s12033-008-9114-z. Epub 2008 Nov 1.

Abstract

Post-transcriptional regulation of genes and transcripts is a vital aspect of cellular processes, and unlike transcriptional regulation, remains a largely unexplored domain. One of the most obvious and most important questions to explore is the discovery of functional RNA elements. Many RNA elements have been characterized to date ranging from cis-regulatory motifs within mRNAs to large families of non-coding RNAs. Like protein coding genes, the functional motifs of these RNA elements are highly conserved, but unlike protein coding genes, it is most often the structure and not the sequence that is conserved. Proper characterization of these structural RNA motifs is both the key and the limiting step to understanding the post-transcriptional aspects of the genomic world. Here, we focus on the task of structural motif discovery and provide a survey of the informatics resources geared towards this task.

摘要

基因和转录本的转录后调控是细胞过程的一个重要方面,与转录调控不同的是,它在很大程度上仍是一个未被探索的领域。要探索的最明显且最重要的问题之一就是发现功能性RNA元件。迄今为止,许多RNA元件已得到表征,范围从mRNA内的顺式调控基序到非编码RNA的大家族。与蛋白质编码基因一样,这些RNA元件的功能基序高度保守,但与蛋白质编码基因不同的是,通常保守的是结构而非序列。对这些结构性RNA基序进行恰当的表征既是理解基因组世界转录后方面的关键步骤,也是限制步骤。在此,我们专注于结构性基序发现的任务,并对针对该任务的信息学资源进行综述。

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