Sangam: A Confluence of Knowledge Streams

OD and Fluorescent measurements for the experiments included in "An analytical approach for the calculation of promoter activities based on fluorescent protein expression data"

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dc.contributor GlaxoSmithKline
dc.contributor Industrial Biotechnology Innovation Centre
dc.contributor EPSRC - Engineering and Physical Sciences Research Council
dc.contributor Markakis, Konstantinos
dc.creator Markakis, Konstantinos
dc.creator De Las Heras, Aitor
dc.date 2017-06-12T13:48:22Z
dc.date 2017-06-12T13:48:22Z
dc.date.accessioned 2023-02-17T20:53:22Z
dc.date.available 2023-02-17T20:53:22Z
dc.identifier Markakis, Konstantinos; De Las Heras, Aitor. (2017). OD and Fluorescent measurements for the experiments included in "An analytical approach for the calculation of promoter activities based on fluorescent protein expression data", 2016-2017 [dataset]. University of Edinburgh, School of Engineering, Institute of Bioengineering. https://doi.org/10.7488/ds/2063.
dc.identifier https://hdl.handle.net/10283/2732
dc.identifier https://doi.org/10.7488/ds/2063
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/244106
dc.description The systematic prediction and categorisation of promoters, repressors, enhancers, etc., is not only essential to unravel the inner workings of biochemical networks, but also to engineer novel synthetic ones. Each putative regulatory region, however, has to be validated experimentally in order to be categorized as a fully defined functional element, which constitutes a significant bottleneck. In most studies, the promoter activity is illustrated as the amount of fluorescence divided by the optical density. These values are obtained from a coupled time-series experiment. With relatively simple mathematical reasoning, a tool that describes promoter activity in each time point has been implemented. The protein expression and the protein maturation process are modelled as a first order differential equations taking into account the degradation and the maturation rates which are to be known in advance. The promoter activity is then expressed based on the measured quantities of optical density and fluorescence with a formula derived by mathematical manipulations of the defined quantities and the differential equations that comprise the model. The continuous expressions for fluorescence and optical density are obtained from Gaussian process regression. Validation with experimental data from several constructs showed the expected behaviour of promoter activities. The dataset consists of 3 files, 2 of them are CSV files and ready to be imported in the software tool presented in the publication and one of them is an excel file of raw data from a plate reader containing OD and fluorescent measurements.
dc.description - Data_for_figure_3.csv : Contains measurements of OD and Fluorescence for the constitutive promoters presented in figure 3. - Data_for_figure_4.csv: Contains measurements of OD and Fluorescence for the inducible promoters presented in figure 4. - Data_for_figure_5.csv: Contains measurements of OD and Fluorescence for the constitutive promoter and stable/unstable GFP presented in figure 5.
dc.format application/zip
dc.language eng
dc.publisher University of Edinburgh, School of Engineering, Institute of Bioengineering
dc.rights Creative Commons Attribution 4.0 International Public License
dc.subject Gaussian process
dc.subject Bacterial growth modelling
dc.subject promoter activity
dc.subject Screening strategies
dc.subject Standardisation
dc.subject Optimisation
dc.subject Genetic Circuits
dc.subject In silico models
dc.subject Measurement
dc.subject Fluorescent proteins
dc.subject regression model
dc.subject Engineering::Bioengineering
dc.title OD and Fluorescent measurements for the experiments included in "An analytical approach for the calculation of promoter activities based on fluorescent protein expression data"
dc.type dataset
dc.coverage Edinburgh
dc.coverage UK
dc.coverage UNITED KINGDOM
dc.coverage start=2016-10-01; end=2017-02-02; scheme=W3C-DTF


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