Duan Shenghua, Mathews David H, Turner Douglas H
Department of Chemistry, University of Rochester, Rochester, New York 14627-0216, USA.
Biochemistry. 2006 Aug 15;45(32):9819-32. doi: 10.1021/bi052618x.
A method to deduce RNA secondary structure on the basis of data from microarrays of 2'-O-methyl RNA 9-mers immobilized in agarose film on glass slides is tested with a 249 nucleotide RNA from the 3' end of the R2 retrotransposon from Bombyx mori. Various algorithms incorporating binding data and free-energy minimization calculations were compared for interpreting the data to provide possible secondary structures. Two different methods give structures with 100 and 87% of the base pairs determined by sequence comparison. In contrast, structures predicted by free-energy minimization alone by Mfold and RNAstructure contain 52 and 72% of the known base pairs, respectively. This combination of high throughput microarray techniques with algorithms using free-energy calculations has potential to allow for fast determination of RNA secondary structure. It should also facilitate the design of antisense and siRNA oligonucleotides.
一种基于固定在载玻片琼脂糖膜上的2'-O-甲基RNA 9聚体微阵列数据推断RNA二级结构的方法,用来自家蚕R2逆转录转座子3'端的249个核苷酸的RNA进行了测试。比较了各种结合结合数据和自由能最小化计算的算法,以解释数据,从而提供可能的二级结构。两种不同的方法给出的结构中,通过序列比较确定的碱基对分别占100%和87%。相比之下,仅通过Mfold和RNAstructure进行自由能最小化预测的结构分别包含已知碱基对的52%和72%。这种高通量微阵列技术与使用自由能计算的算法相结合,有潜力快速确定RNA二级结构。它还应有助于反义寡核苷酸和小干扰RNA的设计。