microRNA在食管癌放射抵抗细胞表达谱研究

目的 比较食管癌放射抵抗细胞株与其亲本细胞microRNA表达谱的差异.方法 应用Agilent human miRNA芯片检测人食管癌耐放射细胞株KYSE-150R与其亲本细胞KYSE-150的表达谱.GeneSpring GX 10.0.2数据分析挑选差异表达基因.应用软件对筛选出的显著差异表达miRNA的潜在靶基因进行预测并验证.结果 与亲本细胞相比,KYSE-150R中上调超过2倍的miRNA有l0个,为hsa-miR-1539、hsa-miR-1237、hsa-miR-92b等;表达下调超过2倍的有miRNA有25个,为hsa-miR-185、hsa-miR-18b、hsa-miR-17等.软件预测发现其中18个miRNA有潜在的靶基因,10个miRNAs的靶基因多达200个.显著差异表达的miRNA(如hsa-let-7a、hsa-miR-185、hsa-miR-141、hsa-miR-92b、hsa-miR-22和hsa-miR-301a)与放射抵抗密切相关.结论 筛选出的miRNAs可能通过调控其靶基因而参与食管癌放射抵抗,为临床上放射抵抗的逆转提供全新的靶标和策略.

Abstract：

Objective To identify the differential microRNA expression profiles of acquired radioresistant esophageal cell line established by fractionated ionizing radiation (FIR) versus parental cell line. Methods MicroRNA microarray was employed for detection. Bioinformatic software tools were used to predict the target genes of identified microRNAs. For an understanding of miRNA functions, the GO analysis of abundantly differentially expressed targets of miRNAs was performed by GeneOntology Browser. Results Compared with parental cell line, 10 microRNAs (hsa-miR-1539, bsa-miR-1237, hsa-miR-92b, etc. ) were up-regulated over 2-fold and 25 microRNAs (hsa-miR-185, hsa-miR-18b, hsa-miR-17, etc. ) downregulated in KYSE-150R. Eighteen miRNAs had their target genes, 10 of them had the potential to individually target up to 200 mRNAs. Hsa-let-7a, bsa-miR-185, hsa-miR-141, hsa-miR-92b, hsa-miR-22 and hsa-miR-301a were known as important genes associated with radioresistance. Conclusion These results confirm the involvement of miRNA in radiation resistance. It may potentially help to explain the mechanisms of gene regulation in cellular response to radioresistance.

Expression profiles of microRNAs in radioresistant esophageal cell line

Objective To identify the differential microRNA expression profiles of acquired radioresistant esophageal cell line established by fractionated ionizing radiation (FIR) versus parental cell line. Methods MicroRNA microarray was employed for detection. Bioinformatic software tools were used to predict the target genes of identified microRNAs. For an understanding of miRNA functions, the GO analysis of abundantly differentially expressed targets of miRNAs was performed by GeneOntology Browser. Results Compared with parental cell line, 10 microRNAs (hsa-miR-1539, bsa-miR-1237, hsa-miR-92b, etc. ) were up-regulated over 2-fold and 25 microRNAs (hsa-miR-185, hsa-miR-18b, hsa-miR-17, etc. ) downregulated in KYSE-150R. Eighteen miRNAs had their target genes, 10 of them had the potential to individually target up to 200 mRNAs. Hsa-let-7a, bsa-miR-185, hsa-miR-141, hsa-miR-92b, hsa-miR-22 and hsa-miR-301a were known as important genes associated with radioresistance. Conclusion These results confirm the involvement of miRNA in radiation resistance. It may potentially help to explain the mechanisms of gene regulation in cellular response to radioresistance.