sorry, we can't preview this file
...but you can still download Vasilakou_dataset_2020.rar
Data of the PhD thesis "Escherichia coli metabolism under dynamic conditions: The tales of substrate hunting"
datasetposted on 10.07.2020 by Eleni Vasilakou
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Dynamic environmental conditions govern microbial metabolism and affect cellular growth. Many applications in biotechnology require cultivating microorganisms in large-scale bioreactors. These environments are commonly characterized by physicochemical gradients, due to imperfect mixing and have been the cause of reduced performance of cell factories in industry. The aim of this thesis was to unravel and understand the effects of repetitive substrate fluctuations on the cellular behaviour of Escherichia coli K12 MG1655, using experimental and modelling approaches. The datasets derived from this research characterize E.coli cultivations (performed in 1.2 L lab bioreactors) under two different growth conditions: carbon-limited steady-state and repetitive cycles of substrate gradients. The data include: physiological rates, quantitative metabolite concentrations, metabolic flux balance analysis, 13C labelling enrichment metabolite profiles, shot-gun proteomic data, as well as dynamic kinetic modelling approaches.