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利用高通量SHAPE进行RNA二级结构预测。

RNA secondary structure prediction using high-throughput SHAPE.

作者信息

Lusvarghi Sabrina, Sztuba-Solinska Joanna, Purzycka Katarzyna J, Rausch Jason W, Le Grice Stuart F J

机构信息

RT Biochemistry Section, HIV Drug Resistance Program, Frederick National Laboratory for Cancer Research, USA.

出版信息

J Vis Exp. 2013 May 31(75):e50243. doi: 10.3791/50243.

Abstract

Understanding the function of RNA involved in biological processes requires a thorough knowledge of RNA structure. Toward this end, the methodology dubbed "high-throughput selective 2' hydroxyl acylation analyzed by primer extension", or SHAPE, allows prediction of RNA secondary structure with single nucleotide resolution. This approach utilizes chemical probing agents that preferentially acylate single stranded or flexible regions of RNA in aqueous solution. Sites of chemical modification are detected by reverse transcription of the modified RNA, and the products of this reaction are fractionated by automated capillary electrophoresis (CE). Since reverse transcriptase pauses at those RNA nucleotides modified by the SHAPE reagents, the resulting cDNA library indirectly maps those ribonucleotides that are single stranded in the context of the folded RNA. Using ShapeFinder software, the electropherograms produced by automated CE are processed and converted into nucleotide reactivity tables that are themselves converted into pseudo-energy constraints used in the RNAStructure (v5.3) prediction algorithm. The two-dimensional RNA structures obtained by combining SHAPE probing with in silico RNA secondary structure prediction have been found to be far more accurate than structures obtained using either method alone.

摘要

要理解参与生物过程的RNA的功能,需要全面了解RNA结构。为此,一种名为“通过引物延伸分析的高通量选择性2'-羟基酰化”(即SHAPE)的方法能够以单核苷酸分辨率预测RNA二级结构。该方法利用化学探针剂,其在水溶液中优先酰化RNA的单链或柔性区域。通过对修饰后的RNA进行逆转录来检测化学修饰位点,该反应的产物通过自动毛细管电泳(CE)进行分离。由于逆转录酶会在被SHAPE试剂修饰的RNA核苷酸处停顿,因此所得的cDNA文库间接绘制出在折叠RNA背景下单链的那些核糖核苷酸。使用ShapeFinder软件,对自动CE产生的电泳图进行处理,并转换为核苷酸反应性表,这些表本身又被转换为RNAStructure(v5.3)预测算法中使用的伪能量约束。已发现将SHAPE探测与计算机模拟RNA二级结构预测相结合获得的二维RNA结构比单独使用任何一种方法获得的结构要准确得多。

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