GeneChip外显子阵列检测新型融合基因方法的建立。

Yusaku Wada, Masaaki Matsuura, Minoru Sugawara, Masaru Ushijima, Satoshi Miyata, Koichi Nagasaki, Tetsuo Noda, Yoshio Miki
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引用次数: 13

摘要

背景:融合基因已被认为在肿瘤发生中起关键作用。尽管已经开发了许多用于融合基因全基因组分析的技术,但仍需要一种更有效的方法。结果:我们介绍了一种利用GeneChip外显子阵列检测新融合基因的新方法,该方法可以在全基因组范围内进行外显子表达分析和TAIL-PCR。为了筛选具有异常外显子表达谱的基因,我们开发了计算程序,并证实该程序能够使用t细胞急性淋巴细胞白血病(T-ALL)细胞系的外显子阵列数据搜索融合伴侣基因。据报道,T-ALL细胞株ALL-SIL、BE13和LOUCY分别含有NUP214-ABL1、NUP214-ABL1和SET-NUP214融合基因。该程序提取了具有异常外显子表达谱的候选基因:ALL-SIL中的1个基因,BE13中的1个基因和LOUCY中的2个基因。ALL-SIL和LOUCY的基因中包含已知的融合伴侣基因NUP214。因此,我们将所提出的程序应用于其他肿瘤中融合伴侣基因的检测。为了发现新的融合基因,我们利用该程序对24株乳腺癌细胞株和20株胰腺癌细胞株进行了检测。结果,分别获得了乳腺癌和胰腺癌细胞系的20个和23个候选基因,并根据EST数据库的信息、与正常细胞样本的比较以及外显子表达谱的视觉检查,选择了7个基因作为最终的候选基因。利用TAIL-PCR寻找最终候选基因的融合伙伴,鉴定出3个新的融合基因。结论:证实了该检测方法的有效性。利用这种方法对更多的样本进行鉴定,认为融合基因可以被鉴定出来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Development of detection method for novel fusion gene using GeneChip exon array.

Background: Fusion genes have been recognized to play key roles in oncogenesis. Though, many techniques have been developed for genome-wide analysis of fusion genes, a more efficient method is desired.

Results: We introduced a new method of detecting the novel fusion gene by using GeneChip Exon Array that enables exon expression analysis on a whole-genome scale and TAIL-PCR. To screen genes with abnormal exon expression profiles, we developed computational program, and confirmed that the program was able to search the fusion partner gene using Exon Array data of T-cell acute lymphocytic leukemia (T-ALL) cell lines. It was reported that the T-ALL cell lines, ALL-SIL, BE13 and LOUCY, harbored the fusion gene NUP214-ABL1, NUP214-ABL1 and SET-NUP214, respectively. The program extracted the candidate genes with abnormal exon expression profiles: 1 gene in ALL-SIL, 1 gene in BE13, and 2 genes in LOUCY. The known fusion partner gene NUP214 was included in the genes in ALL-SIL and LOUCY. Thus, we applied the proposed program to the detection of fusion partner genes in other tumors. To discover novel fusion genes, we examined 24 breast cancer cell lines and 20 pancreatic cancer cell lines by using the program. As a result, 20 and 23 candidate genes were obtained for the breast and pancreatic cancer cell lines respectively, and seven genes were selected as the final candidate gene based on information of the EST data base, comparison with normal cell samples and visual inspection of Exon expression profile. Finding of fusion partners for the final candidate genes was tried by TAIL-PCR, and three novel fusion genes were identified.

Conclusions: The usefulness of our detection method was confirmed. Using this method for more samples, it is thought that fusion genes can be identified.

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