Max Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, 14476 Potsdam-Golm, Germany.
Curr Opin Plant Biol. 2013 Jun;16(3):381-8. doi: 10.1016/j.pbi.2013.02.012. Epub 2013 May 2.
System integration of metabolism is considered in analogy to the investigation of corporate misdemeanour. Motive, or goal-oriented explanation, provides hypotheses that can guide the investigation of network structure. Opportunity can be established by correlative analysis using large-scale omics resources. However, correlative approaches on their own remain inconclusive and seldom identify all the links in a network. Establishment of means, or the ability to act on other network components and contribute to a phenotype, is therefore crucial. This requires functional information. Integration of quantitative data in the context of pathway models provides a powerful approach to establish 'means'. This is illustrated by discussing: first, how protein abundance is regulated by a network including transcript abundance, translation and protein degradation and second, how a combination of experimentation and modelling provides information about pathway flux, an emergent network property that integrates changes in proteins and metabolites and determines composition and biomass.
代谢的系统集成被认为是类似于对公司不当行为的调查。动机或目标导向的解释提供了可以指导网络结构调查的假设。可以通过使用大规模组学资源的相关分析来确定机会。然而，仅相关方法仍然不确定，很少能识别网络中的所有链接。因此，建立手段或对其他网络组件采取行动并有助于表型的能力至关重要。这需要功能信息。在途径模型的背景下整合定量数据提供了一种强大的方法来建立“手段”。通过讨论以下两个方面来说明这一点：首先，网络如何通过包括转录物丰度、翻译和蛋白质降解在内的网络调节蛋白质丰度，其次，实验和建模的组合如何提供关于途径通量的信息，这是一种新兴的网络属性，它整合了蛋白质和代谢物的变化，并决定了组成和生物量。
