• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Nature >Genome-wide measurement of RNA secondary structure in yeast
【24h】

Genome-wide measurement of RNA secondary structure in yeast

机译：全基因组测量酵母RNA二级结构

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The structures of RNA molecules are often important for their function and regulation, yet there are no experimental techniques for genome-scale measurement of RNA structure. Here we describe a novel strategy termed parallel analysis of RNA structure (PARS), which is based on deep sequencing fragments of RNAs that were treated with structure-specific enzymes, thus providing simultaneous in vitro profiling of the secondary structure of thousands of RNA species at single nucleotide resolution. We apply PARS to profile the secondary structure of the messenger RNAs (mRNAs) of the budding yeast Saccharomyces cerevisiae and obtain structural profiles for over 3,000 distinct transcripts. Analysis of these profiles reveals several RNA structural properties of yeast transcripts, including the existence of more secondary structure over coding regions compared with untranslated regions, a three-nucleotide periodicity of secondary structure across coding regions and an anti-correlation between the efficiency with which an mRNA is translated and the structure over its translation start site. PARS is readily applicable to other organisms and to profiling RNA structure in diverse conditions, thus enabling studies of the dynamics of secondary structure at a genomic scale.
机译：RNA分子的结构通常对于其功能和调节很重要，但是目前尚无用于基因组规模测量RNA结构的实验技术。在这里，我们描述了一种称为并行分析RNA结构（PARS）的新策略，该策略基于对经过结构特异性酶处理的RNA的深度测序片段，从而提供了数千个RNA种类的二级结构的同时体外概况分析单核苷酸分辨率。我们应用PARS来分析发芽酵母酿酒酵母的信使RNA（mRNA）的二级结构，并获得3,000多个不同转录本的结构概况。对这些谱图的分析揭示了酵母转录本的几种RNA结构特性，包括与非翻译区相比，在编码区上存在更多的二级结构，跨编码区的二级结构具有3个核苷酸的周期性，以及与编码区效率之间的反相关。 mRNA被翻译并且其翻译起始位点的结构。 PARS很容易适用于其他生物，并适用于各种条件下的RNA结构分析，因此可以在基因组规模上研究二级结构的动力学。

著录项

  • 来源
    《Nature》 |2010年第7311期|P.103-107|共5页
  • 作者

    Michael Kertesz; Yue Wan; Elad Mazor; John L. Rinn; Robert C. Nutter; Howard Y. Chang; Eran Segal;

  • 作者单位

    Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel Department of Bioengineering, Stanford University and Howard Hughes Medical Institute, Stanford, California 94305, USA;

    rnHoward Hughes Medical Institute, Program in Epithelial Biology, Stanford University School of Medicine, Stanford, California 94305, USA;

    rnDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel;

    rnThe Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA;

    rnLife Technologies, Foster City, California 94404, USA;

    rnHoward Hughes Medical Institute, Program in Epithelial Biology, Stanford University School of Medicine, Stanford, California 94305, USA;

    rnDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号