作者: Vahid Shahrezaei , Samuel Marguerat , François Bertaux
DOI: 10.1101/209593
关键词:
摘要: Cells physiology adapts globally to changes in growth conditions. This includes cell division rate, size, and gene expression. These global physiological are expected affect noise expression addition average molecule concentrations. Gene is inherently stochastic, the amount of protein levels depends on both rates cycle. Here, we model stochastic inside growing dividing cells study effect rate We use a modelling framework parameters relevant E. coli , for which abundant quantitative data available. find that coupling transcription (but not translation rate) with results homeostasis concentration across Interestingly, increased size at fast rates, observed other unicellular organisms, prevents increase even proteins decreased faster growth. then investigate functional importance these regulations by considering regulatory networks exhibit bistability oscillations. topology network can its robustness respect complex unexpected ways. In particular, simple persistence based feedback predicts an population low rates. Our reveals potential role regulation control noise. It also highlights understanding circuits9 conditions key effective design synthetic biological systems.