GENE EXPRESSION IN CANCER BY MICROARRAY HYBRIDIZATION

描述：（申请人的描述） 该计划的总体目标仍然是系统和定量 癌症中基因表达的全基因组模式分析。应用cdna 微阵列研究正常和癌症衍生的人类细胞系以及 肿瘤，累积基因表达数据库将扩大，以增加 细胞系中基因表达模式的生物信息性，正常 组织和肿瘤。与此同时，此类实验将开始， 描述了许多迄今为止尚未描述的人类的生物学角色， 基因在阵列上。提出了用细胞系进行的各种实验 其结果将有助于基因表达的生物学解释 在肿瘤中发现的模式。拟议的实验包括定期研究 在培养物中生长的同步化动物细胞中的基因表达; 当受到饥饿，热，冷， 辐射等;研究基因表达的变化，在长期 培养和研究细胞组织时的基因表达模式 将它们自身转化为基本组织。 该计划包括在计算和 分析基础设施，包括进一步发展分析 算法以及改进的数据库、数据存档和数据显示 系统. 最后，对基因芯片技术的进一步发展进行了展望 技术提出。

DESCRIPTION: (Applicant's Description) The overall goal of this program remains the systematic and quantitative analysis of genome-wide patterns of gene expression in cancer. By using cDNA microarrays to study normal and cancer-derived human cell lines as well as tumors, a cumulative gene expression database will be expanded to increase the biological informativeness of gene expression patterns in cell lines, normal tissues and tumors. At the same time, such experiments will begin to characterize the biological roles of the many heretofore uncharacterized human genes on the arrays. A variety of experiments with cell lines are proposed whose results will facilitate biological interpretation of gene expression patterns found in tumors. Proposed experiments include studies of periodic gene expression in synchronized animal cells growing in culture; patterns of gene expression displayed by genes when stressed with starvation, heat, cold, radiation, etc; studies of changes in gene expression during long-term culture, and studies of gene expression patterns when cells are organizing themselves into rudimentary tissues. The program includes substantial improvements in the computational and analytical infrastructure, including further development of analytical algorithms as well as improved database, data archiving and data display systems. Finally, further technology development of the cDNA microarray technology is proposed.