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Condition-Dependent Cell Volume and Concentration of Escherichia coli to Facilitate Data Conversion for Systems Biology Modeling

机译:条件依赖的细胞体积和大肠杆菌浓度以促进系统生物学建模的数据转换

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摘要

Systems biology modeling typically requires quantitative experimental data such as intracellular concentrations or copy numbers per cell. In order to convert population-averaging omics measurement data to intracellular concentrations or cellular copy numbers, the total cell volume and number of cells in a sample need to be known. Unfortunately, even for the often studied model bacterium Escherichia coli this information is hardly available and furthermore, certain measures (e.g. cell volume) are also dependent on the growth condition. In this work, we have determined these basic data for E. coli cells when grown in 22 different conditions so that respective data conversions can be done correctly. First, we determine growth-rate dependent cell volumes. Second, we show that in a 1 ml E. coli sample at an optical density (600 nm) of 1 the total cell volume is around 3.6 µl for all conditions tested. Third, we demonstrate that the cell number in a sample can be determined on the basis of the sample's optical density and the cells' growth rate. The data presented will allow for conversion of E. coli measurement data normalized to optical density into volumetric cellular concentrations and copy numbers per cell - two important parameters for systems biology model development.
机译:系统生物学建模通常需要定量实验数据,例如细胞内浓度或每个细胞的拷贝数。为了将群体平均的组学测量数据转换为细胞内浓度或细胞拷贝数,需要知道样品中的总细胞体积和细胞数。不幸的是,即使对于经常研究的模型细菌大肠埃希氏菌,也很难获得该信息,此外,某些措施(例如细胞体积)也取决于生长条件。在这项工作中,我们确定了在22种不同条件下生长的大肠杆菌细胞的这些基本数据,以便可以正确进行相应的数据转换。首先,我们确定生长速率依赖性细胞体积。其次,我们显示在1 ml的大肠杆菌样品中,光密度(600 nm)为1,在所有测试条件下的总细胞体积约为3.6 µl。第三,我们证明样品中的细胞数可以根据样品的光密度和细胞的生长速度来确定。呈现的数据将允许将根据光密度归一化的大肠杆菌测量数据转换为体积细胞浓度和每个细胞的拷贝数-这是系统生物学模型开发的两个重要参数。

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