靶向肿瘤多药耐药基因MDR1 siRNA 的设计与筛选

问天娇1,刘东璐2,田 勤3,崔京霞1*

主办:上海医药工业研究院
   中国药学会
   中国化学制药工业协会
ISSN 1001-8255   CN 31-1243/R   ZYGZEA
中国医药工业杂志 ›› 2016, Vol. 47 ›› Issue (02) : 158-162. DOI: 10.16522/j.cnki.cjph.2016.02.007
微生物药物与生物技术 Microbial Medicine & Biotechnology

靶向肿瘤多药耐药基因MDR1 siRNA 的设计与筛选

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Design and Screening of siRNA Targeting to Multi-drug Resistance Gene MDR1

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摘要

本研究主要考察siRNA 对于逆转P- 糖蛋白介导的肿瘤多药耐药的作用。以MDR1 基因为靶标,在线设计MDR1基因的siRNA 序列并利用生物学软件进行优化,经化学合成后转染入体外培养的乳腺癌耐药细胞系MCF-7/ADR 中,经实时定量荧光PCR 和Western blot 定量分析MDR1 基因的表达,以MTT 法检测转染细胞对多柔比星的敏感性。最终设计并合成了8 条MDR1 基因siRNA 序列,其中4 条能有效抑制MDR1 基因mRNA 的表达。siRNA1 沉默效率最高,可特异性地沉默MDR1 基因,有效逆转乳腺癌细胞的多药耐药性。

Abstract

The effect of siRNA on the reversal of multi-drug resistance of cancer cells which was mediated by P-glycoprotein was investigated. The human MDR1 gene was selected as the target. siRNA candidate sequences were obtained via online design and further optimized by biological software. The chemically synthesized siRNAs were transfected into drug-resistant breast cancer cell line MCF-7/ADR. MDR1 gene expression were quantitatively analyzed by real-time PCR and Western blot, respectively. MTT experiment was carried out to assay the sensitivity of transfected cells to doxorubicin. Ultimately, eight MDR1 gene siRNA sequences were designed and synthesized, of which four sequences could effectively inhibit the expression of MDR1 gene. The siRNA1 had the highest interference efficiency and could specifically silence MDR1 gene, effectively reversing the multi-drug resistance in breast cancer.

关键词

小干扰RNA / P- 糖蛋白 / 多药耐药 / 乳腺癌 / 基因沉默

Key words

siRNA / P-glycoprotein / multi-drug resistance / breast cancer / gene silence

引用本文

导出引用
问天娇1,刘东璐2,田 勤3,崔京霞1*. 靶向肿瘤多药耐药基因MDR1 siRNA 的设计与筛选. 中国医药工业杂志. 2016, 47(02): 158-162 https://doi.org/10.16522/j.cnki.cjph.2016.02.007
WEN Tianjiao1, LIU Donglu2, TIAN Qin3, CUI Jingxia1*. Design and Screening of siRNA Targeting to Multi-drug Resistance Gene MDR1. Chinese Journal of Pharmaceuticals. 2016, 47(02): 158-162 https://doi.org/10.16522/j.cnki.cjph.2016.02.007

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基金

河北省应用基础研究计划重点基础研究项目(12966417D)、河北省自然科学基金(H2012206039)

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