BIOINFORMATICS: SYSTEMS BIOLOGY OF NEUROBLASTOMA

越来越清楚的是，单个基因在一个系统中并不是孤立地起作用的。 细胞，但与途径内的其他基因协同作用。此外，许多基因在 通路是冗余的，使得许多基因可以执行特定的功能，反之， 单个基因可以根据其细胞环境而具有许多功能。高通量基因组 广泛的方法允许研究细胞作为一个整体的复杂性。整合 具有功能分析的基因组学和蛋白质组学将被称为系统生物学。我 实验室利用这些系统的方法，更清楚地了解生物学的 高危神经母细胞瘤系统生物学寻求整合高通量生物学研究 来理解整个生物系统是如何运作的。通过研究这些关系， 生物系统（在我们的例子中是NB）的各个部分之间的相互作用，包括DNA 拷贝数，甲基化模式，mRNA，miRNA和蛋白质水平，细胞生长，临床 参数（年龄，阶段和结果（生存）），希望最终这将使一个 更全面地了解NB，这将提高患者的生存率， 长期发病率最低。细胞的基因组和蛋白质组是一个复杂的相互关联的 动态系统DNA拷贝数可以影响mRNA和miRNA的表达。mRNA转录 蛋白质可以包含miRNA序列，蛋白质通过其 作用于DNA、mRNA和miRNA。此外，miRNA控制蛋白质和mRNA水平。这些 因此，全局相互作用控制癌细胞的表型，这决定了结果。

It has become increasingly clear that individual genes do not act in isolation within a cell, but acts in concert with other genes within pathways. In addition, many genes within a pathway are redundant such that many genes can perform a particular function, and conversely a single gene can have many functions depending on its cellular context. High throughput genome wide approaches allow the investigation of the complexity of cell as a whole. The integration of genomics and proteomics with functional analysis will be referred to as systems biology. My lab has utilized these systematic approaches to understand more clearly the biology of high-risk neuroblastoma. Systems biology seeks to integrate high-throughput biological studies to understand how the whole biological systems function. By studying the relationships and interactions between various parts of the biological system (NB in our case), including DNA copy number, methylation patterns, mRNA, miRNA, and protein levels, cell growth, clinical parameters (age, stage and outcome (survival)), it is hoped that eventually this will enable a more complete understanding of NB which will lead to improved survival of patients with minimal long term morbidity. The genome and proteome of a cell is a complex interrelated dynamic system. DNA copy number can impact the mRNA and miRNA expression. mRNA is transcribed into proteins and can contain miRNA sequences, and proteins control transcription by its action on DNA, mRNA and miRNA. In addition, miRNAs control protein and mRNA levels. These global interactions thus control the phenotype of a cancer cell which determines the outcome.