Method of inhibiting expression of target mRNA using sirna consisting of nucleotide sequence complementary to said target mRNA
一种核苷酸、序列的技术,应用在使用由互补于靶mRNA的核苷酸序列组成的siRNA抑制靶mRNA表达领域,能够解决不同、不能反映等问题
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Embodiment 1
[0159] Example 1 Comparison with traditional siRNA design methods
[0160] In order to test the performance of the method of optimizing siRNA design using the relative binding energy mode of the present invention, the siRNA design optimization method was compared with the siRNA design scoring method disclosed in Patent No. WO2004 / 045543 (Functional and Hyperfunctional siRNA, published on June 3, 2004). The siRNA efficiency scoring method disclosed in the many algorithms of patent number WO2004 / 045543 is performed according to the following equation 6:
[0161] [equation 6]
[0162] Relative functionality of siRNA = -(GC / 3)+(AU 15-19 )-(T m20℃ )*3-(G 13 )*3-(C 19 )+(A 19 )*2+(A 3 )+(U 10 )+(A 13 )-(U 5 )-(A 11 )
[0163]Three datasets from the Khvorova and Amarzguioui paper, using one dataset from the Amarzguioui paper instead of the two datasets from the Khvorova paper used to evaluate relative binding energy patterns as experimental data to compare the two scores...
Embodiment 2
[0168] Embodiment 2 Inhibition experiment of survivin gene expression
[0169] Through the method of optimizing siRNA design based on the relative binding energy mode of the present invention, 36 siRNAs that inhibit the expression of survivin gene were designed, and then the inhibition experiment of survivin gene expression was carried out. Based on the expression inhibition rate of 75%, the resulting data set was divided into effective group / ineffective group. Here, the three datasets in the Khvorova and Amarzguioui paper are used as training sets, and the survivin dataset is used as a test set. The same method as in Example 1 was used to score siRNA, and the statistical program R was used to calculate the predicted success rate of siRNA efficiency by LDA (Linear Discriminant Analysis) and QDA (Quadratic Discriminant Analysis). Results The prediction success rate of both LDA and QDA was 0.64, showing almost the same results as Example 1 (see Table 9).
[0170] Table 9
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