不同转移潜能骨肉瘤细胞系差异表达基因

Xinzhi Li , Lin Meng , Anming Chen , Fengjin Guo , Zhenqiang Luo , Heng Zeng
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引用次数: 1

摘要

目的利用基因芯片技术研究骨肉瘤转移相关基因的表达,筛选与骨肉瘤发生、发展及转移相关的新候选基因。方法提取低转移性骨肉瘤和高转移性骨肉瘤(分别为M6和M8细胞系)的总RNA,纯化为mRNA,然后逆转录为cDNA。以M6为实验组,M8为对照组,利用含有8064个cDNA克隆的cDNA芯片研究这两个亚系细胞的基因表达情况。M6的cDNA用cy3标记,M8的cDNA用cy5标记。用cDNA芯片对这两个亚系进行杂交。杂交信号用三代阵列扫描仪扫描,用Imagequant 5.0软件分析。结果M6与M8之间存在330个差异表达基因。与M8亚系相比,M6亚系中有152个基因上调,178个基因下调。这些基因可以根据它们的功能进行分类。下调细胞生长相关基因CCNG1、CDC2、APC10和RPA3,上调肿瘤抑制基因CDKN1A和CDKN2D的表达。其他差异表达的基因包括那些参与信号转导、代谢和凋亡调节的基因。结论本研究利用cDNA微阵列技术鉴定可能与肿瘤转移相关的基因。骨肉瘤细胞系的基因表达谱是寻找与肿瘤发生、发展和转移相关的新候选基因的潜在重要指标。
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Differentially expressed gene in osteosarcoma cell lines with different metastatic potentials

Objective

To study the expression of osteosarcoma metastasis associated gene using a cDNA microarray, and screen new candidate genes related to the development, progress and osteosarcoma metastasis.

Methods

Total RNA of a low metastatic osteosarcoma and a high metastatic osteosarcoma (M6 and M8 cell lines, respectively) was extracted, purified to mRNA and then reverse transcribed to cDNA. M6 was used as the experimental group and M8 as the control group, and the gene expression of cells from both of these two sublines was investigated using cDNA microarrays containig 8064 cDNA clones. The cDNA of M6 was labeled with cy3 and the cDNA of M8 was labeled with cy5. The two sublines were hybridized with the cDNA microarray. The hybridization signals were scanned with a Generation III array scanner and analyzed by Imagequant 5.0 software.

Results

There were 330 differentially expressed genes between M6 and M8. In the M6 subline,152 genes were up-regulated and 178 genes were down-regulated compared to the M8 subline. These genes could be classified according to their function. Cell growth-related genes that were down-regulated included CCNG1, CDC2, APC10, and RPA3, while expression of the tumor suppressor genes, CDKN1A and CDKN2D, was up-regulated. Other genes that were differentially expressed included those that have been implicated in the regulation of signal transduction, metabolism and apoptosis.

Conclusion

This study exploits a cDNA microarray approach to identifying genes that may be associated with metastasis. The gene expression profiles of osteosarcoma cell lines is a potentially important index in the search of new candidate genes related to tumor occurrence, development and metastasis.

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