Chemical Engineering, Centre for Process Systems Engineering, London, UK.
Institute for Systems and Synthetic Biology, Imperial College London, London, UK.
Nat Commun. 2021 Sep 9;12(1):5357. doi: 10.1038/s41467-021-24760-y.
Spatial organisation through localisation/compartmentalisation of species is a ubiquitous but poorly understood feature of cellular biomolecular networks. Current technologies in systems and synthetic biology (spatial proteomics, imaging, synthetic compartmentalisation) necessitate a systematic approach to elucidating the interplay of networks and spatial organisation. We develop a systems framework towards this end and focus on the effect of spatial localisation of network components revealing its multiple facets: (i) As a key distinct regulator of network behaviour, and an enabler of new network capabilities (ii) As a potent new regulator of pattern formation and self-organisation (iii) As an often hidden factor impacting inference of temporal networks from data (iv) As an engineering tool for rewiring networks and network/circuit design. These insights, transparently arising from the most basic considerations of networks and spatial organisation, have broad relevance in natural and engineered biology and in related areas such as cell-free systems, systems chemistry and bionanotechnology.
通过物种的本地化/区隔化实现空间组织是细胞生物分子网络普遍存在但理解不足的特征。系统和合成生物学领域的当前技术(空间蛋白质组学、成像、合成区隔化)需要系统的方法来阐明网络和空间组织的相互作用。我们为此开发了一个系统框架,并专注于揭示网络组件空间定位的效果,揭示其多个方面:(i)作为网络行为的关键独特调节剂,以及新网络功能的实现者(ii)作为模式形成和自组织的有力新调节剂(iii)作为经常隐藏的因素,影响从数据推断时变网络(iv)作为重新布线网络和网络/电路设计的工程工具。这些见解源自网络和空间组织最基本的考虑,在自然和工程生物学以及相关领域(如无细胞系统、系统化学和生物纳米技术)具有广泛的相关性。