M3db

Metastatic melanoma patients have a poor prognosis attributable to the underlying heterogeneity in the melanoma driver genes and altered gene expression profiles which also makes development of drugs and identification of novel drug targets for metastatic melanoma a daunting task. Systems biology offers an alternative approach to re-explore the genes or gene sets that display dysregulated behaviour without being differentially expressed. In this study, we have performed systems biology studies to enhance our knowledge about the conserved property of disease genes or gene sets among mutually exclusive datasets representing melanoma progression.

转移性黑色素瘤患者预后不佳，此情况可归因于黑色素瘤驱动基因的潜在异质性与基因表达谱的改变；而此类异质性与表达谱异常同时也使得转移性黑色素瘤的药物开发及新型药物靶点的鉴定成为一项艰巨任务。系统生物学（Systems biology）为重新探究那些虽未发生差异表达但呈现表达失调特征的基因或基因集提供了替代研究策略。本研究中，我们开展了系统生物学相关研究，以加深对代表黑色素瘤进展的互斥数据集之间，疾病相关基因或基因集所具备的保守特性的认知。

搜集汇总

背景与挑战

背景概述

M3db是一个专注于转移性黑色素瘤元分析的数据集，旨在通过系统生物学方法分析基因网络重连，识别不依赖差异表达的失调通路。它基于642个微阵列样本构建了代表疾病进展阶段的网络，提供预测的失调通路信息（如皮肤和淋巴结转移阶段），包括R-score等指标来量化通路偏离程度。该数据集作为网络资源，支持用户浏览和分析通路及基因连接模式，以辅助黑色素瘤研究和药物靶点探索。