癌症系统生物学:从分子谱到途径、信号网络和治疗脆弱性

L. Verbeke, S. V. Laere
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引用次数: 0

摘要

癌症系统生物学包括系统生物学方法在癌症研究中的应用。从历史上看,系统生物学首先应用于癌症研究,以实现基因表达数据的途径导向解释,这一策略无疑为癌症生物学的许多方面提供了相关的见解。如今,癌症被认为是一个复杂的系统,它通过相互连接的蛋白质网络整合来自不同水平(即(epi)基因组学、转录组学、微环境)的信号,从而产生生物反应。这种整体方法不仅允许识别新的和相关的信号转导途径,而且还提供了对癌细胞的几个关键特性的更好理解,这些特性可以从网络水平的角度得到最好的理解:稳健性、可进化性和可塑性。本章概述了系统生物学的几个关键概念,包括参考基因集文库、网络拓扑和建立生物网络的可用策略。接下来,这些概念被用来解释基因集和基因网络分析,特别关注癌症生物学。最后,总结了癌症系统生物学面临的警告和挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cancer systems biology: From molecular profiles to pathways, signalling networks, and therapeutic vulnerabilities
Cancer systems biology encompasses the application of systems biology approaches to cancer research. Historically, systems biology was first applied in cancer research to enable a pathway-oriented interpretation of gene expression data and this strategy has undoubtedly delivered relevant insights with respect to many aspects of cancer biology. Nowadays, cancer is regarded as a complex system that integrates signals from different levels (i.e. (epi)genomics, transcriptomics, micro-environment) through a network of interconnected proteins to generate a biological response. This holistic approach not only allows the identification of new and relevant signal transduction pathways, but also provides a better understanding of several key properties of cancer cells that can be best understood from a network-level perspective: robustness, evolvability, and plasticity. This chapter provides an overview of several key concepts of systems biology, including reference gene set libraries, network topology, and available strategies to establish biological networks. Next, these concepts are utilized to explain gene set and gene network analysis with particular focus on cancer biology. Finally, the caveats and challenges that are facing cancer systems biology are summarized.
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