人类乳腺癌基因表达分析  被引量:15

Differentially expressed genes in normal breast tissue and breast cancer tissue by cDNA microarray

在线阅读下载全文

作  者:陈剑英[1] 张波[1] 王国斌[1] 郑海[1] 陈庆勇[1] 陈道达[1] 

机构地区:[1]华中科技大学同济医学院附属协和医院普通外科,武汉430022

出  处:《中华实验外科杂志》2005年第4期429-431,共3页Chinese Journal of Experimental Surgery

基  金:国家自然科学基金资助项目 (30 1 70 92 1 )

摘  要:目的 研究乳腺癌发生和发展相关基因群的表达及其初步功能。方法 用40 96种人类基因多聚酶链反应(PCR)产物制成BioDoor40 96型表达谱芯片,分离纯化正常乳腺组织和乳腺癌组织mRNA ,制备表达谱探针,用ScanArray3 0 0 0荧光扫描仪扫描芯片荧光信号图像,利用计算机分析正常乳腺组织和乳腺癌组织之间差异表达的基因。结果 在40 96种基因中,正常乳腺组织和乳腺癌组织之间差异表达的基因有619条(15 .11% )。生物信息学分析显示,这些差异表达的基因可能与乳腺癌的发生和发展密切相关。结论 乳腺癌的发生、发展中存在多基因表达调控的改变,对于相关基因群的研究有助于认识肿瘤发病机制。Objective To screen for the differentially expressed genes in normal breast tissue and breast cancer tissue by using cDNA microarray.Methods The PCR products of 4096 genes were spotted on chemical material coated glass plates in array.The total RNAs were isolated from tumor tissue and normal tissue and were purified to mRNA by Oligotex.Both the mRNAs were reversely transcribed to cDNAs with the incorporations of fluorescent dUTP,for preparing the hybridization probes.The mixed probes were then hybridized to the cDNA microarray.Microarray was scanned for the fluorescent signals and showed the differences between the two samples.Results Among the 4096 target genes,there were 619 (15.11%) genes whose expression levels differed between normal breast tissue and breast cancer tissue.Bioinformational analysis of those genes had been performed.Conclusion DNA microarray technology is an effective technique in screening for differentially expressed genes between two different kinds of tissues.Further analysis of the obtained genes will help to understand the molecular mechanism of malignant carcinoma.

关 键 词:基因表达分析 人类乳腺癌 正常乳腺组织 乳腺癌组织 生物信息学分析 多聚酶链反应 差异表达 基因表达调控 表达谱芯片 计算机分析 个体化治疗 人类基因 mRNA 分离纯化 发病机制 基因群 表达及 相关 癌发生 光信号 扫描仪 

分 类 号:R737.9[医药卫生—肿瘤]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象