Lehár Joseph, Krueger Andrew, Zimmermann Grant, Borisy Alexis
Discovery, CombinatoRx Inc., Cambridge, MA 02142, USA.
Mol Syst Biol. 2008;4:215. doi: 10.1038/msb.2008.51. Epub 2008 Aug 5.
Biological systems are robust, in that they can maintain stable phenotypes under varying conditions or attacks. Biological systems are also complex, being organized into many functional modules that communicate through interlocking pathways and feedback mechanisms. In these systems, robustness and complexity are linked because both qualities arise from the same underlying mechanisms. When perturbed by multiple attacks, such complex systems become fragile in both theoretical and experimental studies, and this fragility depends on the number of agents applied. We explore how this relationship can be used to study the functional robustness of a biological system using systematic high-order combination experiments. This presents a promising approach toward many biomedical and bioengineering challenges. For example, high-order experiments could determine the point of fragility for pathogenic bacteria and might help identify optimal treatments against multi-drug resistance. Such studies would also reinforce the growing appreciation that biological systems are best manipulated not by targeting a single protein, but by modulating the set of many nodes that can selectively control a system's functional state.
生物系统具有稳健性,即它们能够在不同条件或攻击下维持稳定的表型。生物系统也很复杂,由许多功能模块组成,这些模块通过相互关联的途径和反馈机制进行通信。在这些系统中,稳健性和复杂性是相互关联的,因为这两种特性都源于相同的潜在机制。在理论和实验研究中,当受到多种攻击的干扰时,这种复杂系统会变得脆弱,而这种脆弱性取决于所施加因素的数量。我们探索如何利用这种关系,通过系统的高阶组合实验来研究生物系统的功能稳健性。这为应对许多生物医学和生物工程挑战提供了一种很有前景的方法。例如,高阶实验可以确定病原菌的脆弱点,并可能有助于确定针对多重耐药性的最佳治疗方法。此类研究还将进一步强化人们日益增长的认识,即对生物系统进行最佳操控不是通过靶向单一蛋白质,而是通过调节许多能够选择性控制系统功能状态的节点集合。