摘要
初步构建乳腺癌转移相关基因表达调控网络的线性微分方程模型,并分析模型的可靠性和生物学意义.采用基因芯片技术,分别对30例伴有淋巴结转移的乳腺癌组织及其相应淋巴结转移癌组织进行基因表达谱的比较,选择差异基因通过线性微分数学方法构建表达调控网络模型.差异表达基因共27个,其中Ratio>3的明显上调基因14个,而Ratio<0.33的明显下调基因13个.比较伴有淋巴结转移的乳腺癌组织和其相应淋巴结转移癌组织,分析筛选了27个表达差异基因,应用数学线性微分方程方法初步构建乳腺癌转移相关基因表达调控网络的线性微分方程模型,通过分析模型中重要节点、通路的生物学意义,判定网络的数学特性,初步表明,调控网络的可靠性和乳腺癌转移的形成是与多基因、多通路异常引起的细胞恶性转化相关.
Bioinformatics and gene chip are two new technologies in the field of life science. Bioinformatics is very important to the data analysis of gene chip. The expression and regulation of gene have a profound influence on progression and metastasis of malignant tumors. In the present report, the oligonucleotide microarray technique was used to identify gene expression profiling and screen differential expression genes in breast cancer with a special emphasis on metastasis factors. Then a linear differential model is employed to construct rough genetic regulatory network of gene related to breast cancer metastasis. An available gene chip system was used to analyze surgical samples, including both breast cancer primary tissue and metastasis tissue, collected from 30 patients in different clinical staging. 27 differential expression genes were identified. 14 of the total are up-regulation genes whose Ratio is large for 3, and the rest are down-regulation gene whose Ratio is small for 0.33. In search of putative metastasis and tumor progression factors with Bioinformatics method, linear differential model, a linear model estimated -by Lest Squares Method, was used to construct rough regulatory network of gene related to breast cancer metastasis. With the analysis of the rough regulatory network constructed by the linear differential model, the reliability of regulatory network and abnormality of signal transmission pathways caused by multiple gene abnormal expression, which maybe correlate to breast cancer metastasis, were manifested.
出处
《生物化学与生物物理进展》
SCIE
CAS
CSCD
北大核心
2005年第12期1165-1172,共8页
Progress In Biochemistry and Biophysics
基金
国家高技术研究发展计划(863)资助项目(2002AA2Z2011)~~
关键词
乳腺癌
基因芯片
转移
调控网络
线性微分方程模型
breast cancer, gene chip, metastasis, regulatory networks, linear differential model