"Systems Understanding of Microbial Oxygen responses" (SUMO) investigates how Escherichia coli senses oxygen, or the associated changes in oxidation/reduction balance, via the Fnr and ArcA proteins, how these systems interact with other regulatory systems, and how the redox response of an E. coli population is generated from the responses of single cells. There are five sub-projects to determine system properties and behaviour and three sub-projects to employ different and complementary modelling approaches using published data sets and data emerging from our own work. We construct increasingly elaborate models of the system at different levels of detail, which are used to generate new hypotheses and influence further experimental design.
Programme: SysMO
SEEK ID: https://fairdomhub.org/projects/3
Public web page: http://www.sysmo.net/index.php?index=55
Organisms: Escherichia coli, Escherichia coli k-12
FAIRDOM PALs: Sebastian Henkel, Afsaneh Maleki-Dizaji, Maikel Verouden, David Knies
Project created: 15th Jan 2009
Related items
- People (29)
- Programmes (1)
- Institutions (5)
- Investigations (7)
- Studies (7)
- Assays (23)
- Strains (23)
- Data files (30+13)
- Models (9+4)
- SOPs (15+2)
- Publications (17)
- Presentations (3+1)
Projects: SUMO
Institutions: University of Sheffield
Institutions: University of Amsterdam
Expertise: Microbiology, Biochemistry, Molecular Biology, Escherichia coli, HPLC
Tools: Biochemistry, Molecular Biology, Fermentation, Chromatography
Martijn Bekker (1979) was born in Amstelveen (The Netherlands). He started his studies in biology in 1997 at the University of Amsterdam, and graduated in 2003 with specializations in molecular microbiology and in immunology. The internships during his undergraduate studies were carried out in the labs of Prof. dr. B. Oudega (VU, Amsterdam, The Netherlands) and Prof. dr. F. Heffron (OHSU, Portland, Oregon, USA). He continued with his graduate studies in 2003 in the Laboratory for Molecular Microbial ...
I am interested in the coupling of global regulation and metabolism in E. coli. To analyze this I construct and analyze defined mutant strains. These strains are characterized in bioreactor experiments of different types (batch, conti, pulse ...) and measurements on the level of metabolites, mRNA, and protein are applied. For all projects there are cooperation partners that use the data in modeling approaches either from the MPI Magdeburg or from the SUMO consortium.
Projects: SUMO
Institutions: University of Edinburgh
Projects: SUMO
Institutions: University of Stuttgart
I'm interested in the application and development of methods of systems theory in biology (systems biology). In particulary I work on the following topics: Thermodynamic constraints on biochemical network; Model reduction; Modeling and Analysis of metabolic regulation.
Projects: SUMO
Institutions: University of Sheffield
Expertise: Microbiology, Biochemistry, Molecular Biology, Escherichia coli physiology, Bacterial Cell Biology, Regulatory Networks, Molecular microbiology, Cellular biology of metals
Tools: Microarray analysis, Molecular biology techniques (RNA/DNA/Protein), qRT-PCR, RNA / DNA Techniques, bacterial chemostat culture, Mutant and Strain Construction
Post-doctoral research associate working in Sheffield in the SUMO consortium.
Projects: SUMO
Institutions: University of Sheffield
The major theme of the research in my laboratory is bacterial gene regulation. We are interested in signal perception mechanisms (in particular oxygen); signal transduction (ligand induced protein confromational changes); interaction of transcription factors with the core transcription machinery; interactions between transcription factors to integrate multiple signals; and the influence of promoter architectures on these events. We are also interested in aome aspects of post-transcriptional ...
Projects: SUMO
Institutions: University of Amsterdam
General microbiologist with specific interests in signal transduction mechanisms, biophysics and photobiology
Projects: SUMO
Institutions: University of Stuttgart
Expertise: Mathematical modelling, Data Management, Systems Biology, Parameter estimation
Tools: SBML, ODE, Matlab, Mathematica
Former: PhD student as research associate at the Institute for System Dynamics (ISYS), Universität Stuttgart, Germany. Engineering background→modelling, identification and analyses. Detailed kinetic modelling, identification and analysis of the TCA cycle (tricarboxylic acid cycle, citric acid cycle) and the ETC (electron transport chains, respiratory chains) of Escherichia coli. One of the SysMO-DB pals for SUMO. Now: Industrial affiliation
Projects: SUMO
Institutions: University of Sheffield
Professor of Computer Science, University of Sheffield. FBCS, FIMA, CEng, C.Math, CITP. I have been involved in the use of computational techniques for modelling biological systems since 1980. More recently I have developed a technique of agent-based modelling based on the framework FLAME which is the only such system that can be run on supercomputers. We have made significant new biological discoveries using this approach: The approach models the location and activity of millions of individual ...
Projects: SUMO
Institutions: University of Sheffield
Projects: SUMO
Institutions: University of Stuttgart
Tools: Matlab, Copasi, Flux balance analysis, Dynamic modelling
I recently joined the Institute for System Dynamics as a PhD student. I'm currently working on a dynamic model of nitrate respiration in E. coli.
Projects: SUMO
Institutions: University of Sheffield
Expertise: Bioinformatics, Agent-based modelling, Microarray Data Analysis
Tools: Java, Copasi, Taverna, Bioconductor Packages in R
I am a research associate in the department of computer science at the University of Sheffield since January 2008. My research is primarily involved with using agent-based modelling techniques and mathematical modelling techniques to model Escherichia coli K-12 Respiratory Adaptation. My research interests also include, development of workflows to analyze Microarray Data.
Projects: SUMO
Institutions: University of Stuttgart
Projects: SUMO
Institutions: University of Sheffield
I am a first year PhD student, working with Professor Robert Poole (University of Sheffield), Professor Jeff Green (University of Sheffield) and Dr Jamie Wood (University of York) using a systems biology approach to study respiration in Escherichia coli.
Projects: SUMO
Institutions: University of Sheffield
Expertise: Escherichia coli, Microbiology Biochemistry Molecular biology Genetics Enzymology Synthetic biology Regulatory metabolic networks, Bacterial Cell Biology, Cellular biology of metals
Tools: Biochemistry and protein analysis, Transcriptomics, Spectroscopy and structural analysis, molecular biological techniques (RNA/DNA techniques
Work in my laboratory is focussed on microbial physiology - the study of how bacteria and other microorganisms work. Although rooted in the tradition of bacterial growth and intermediary metabolism, microbial physiology now embraces molecular biology, genetics, biochemistry, and indeed any discipline that can shed light on bacterial function. Much of our experimental work is conducted with Escherichia coli, the pre-eminent ‘model’ organism with unrivalled ease of genetic and physiological ...
Projects: SUMO
Institutions: University of Sheffield
I am a post-doctoral research associate working in Sheffield in the SUMO consortium. My research focuses on transcriptional regulation in E. coli, with particular emaphasis on the transcriptomic analysis of steady-state chemostat cultures using both microarray and qRT-PCR approaches.
Previous experience, especially that gained during my PhD, involved work on Salmonella physiology and lag phase growth, focusing particularly on gene-expression and transcriptional regulation. Other techniques used ...
Projects: SUMO
Institutions: University of Edinburgh
Expertise: Machine Learning, Bioinformatics, Computational modelling
Tools: Bayesian inference
SysMO is a European transnational funding and research initiative on "Systems Biology of Microorganisms".
The goal pursued by SysMO was to record and describe the dynamic molecular processes going on in unicellular microorganisms in a comprehensive way and to present these processes in the form of computerized mathematical models.
Systems biology will raise biomedical and biotechnological research to a new quality level and contribute markedly to progress in understanding. Pooling European research ...
Projects: BaCell-SysMO, COSMIC, SUMO, KOSMOBAC, SysMO-LAB, PSYSMO, SCaRAB, MOSES, TRANSLUCENT, STREAM, SulfoSys, SysMO DB, SysMO Funders, SilicoTryp, Noisy-Strep
Web page: http://sysmo.net/
Cultures grown under standard SUMO conditions were analyzed with respect to heterogeneity in gene expression. To this end GFP reporter strains were constructed and GFP expression at single cell level was monitored by flow cytometry.
Snapshots: No snapshots
The electron transport chain of E. coli is branched. Different NAD Dehydrogenases and terminal oxidases are known to be expressed at different oxygen availabilities. By deleting multiple genes mutant strains were constructed that posses a linear electron transport chain. These mutants were investigated in continous bioreactor experiments with limiting glucose and varying oxygen supply.
Submitter: Katja Bettenbrock
Studies: Analysis of Escherichia coli strains with linear respiratory chain
Assays: Determination of by-product formation and glucose uptake of mutants with..., Deternination of ArcA phosphroylation level in mutants with linear ETC a..., Gene expression analysis of mutants with linear electron transport chain...
Snapshots: No snapshots
A further investigation of the variation of FNR number in E.coli Cyo/Cyd mutants is carrying out at different oxygen supply levels. The agent-based FNR and ArcBA model is going to be used for this prediction. The number of Cyo or Cyd and other unrelated agents would be set as ‘0’ at the initial XML file with which the model starts. According to the restrictions of supercomputer ‘Iceberg’ (serviced provided by the University of Sheffield), certain parameters, such as memory per node, would be ...
Snapshots: No snapshots
In Escherichia coli several systems are known to transport glucose into the cytoplasm. A series of mutant strains were constructed, which lack one or more of these uptake systems. These were analyzed in aerobic and anaerobic batch cultures, as well as glucose limited continuous cultivations.
Submitter: Sonja Steinsiek
Studies: Characterization of mutant strains with defects in sugar transport systems
Assays: Aerobic and anaerobic characterization of MG1655 and mutant strains with..., Aerobic and anaerobic characterization of MG1655 and mutant strains with..., Characterization of MG1655 and mutant strains under conditions of glucos..., TFinfer2
Snapshots: No snapshots
Transcriptional and physiological responses of anaerobic steady state cultures to pulses of electron acceptors, specifically nitrate, trimethylamine-N-oxide (TMAO)
Snapshots: No snapshots
Changing the oxygen availability leads to an adaptation of Escherichia coli at different biological levels. After pertubation of oxygen in chemostat experiments the microorganism(s) will come back to another steady state. This investigation deals with these stationary responses of Escherichia coli within the aerobiosis scale. The change for different biological variables, in different areas of the organism like the electron transport chain, the TCA cycle or globally is investigated by wildtype ...
Submitter: Michael Ederer
Studies: Basic regulatory principles of Escherichia coli’s electron transport cha..., Determination of the impact of specific enzyme reactions and regulatory ..., Quantitative analysis of catabolic carbon and electron fluxes in E. coli..., The Escherichia coli steady state response to oxygen: from molecular int...
Assays: Analysis of by-product formation rates in MG1655, Analysis of gene expression rates at different aerobiosis levels via RT-PCR, ArcA phosphorylation at different aerobiosis levels (steady states), Characterization of E. coli MG1655 and ∆sdhC and ∆frdA isogenic mutant s..., Determination of intracellular metabolite concentrations, Determination of intracellular redox state by means of NAD/NADH ratio, Determination of intracellular redox state by means of ubiquinones (oxd/..., FNR activity at different aerobiosis levels (steady state), Kinetic modelling of Escherichia coli's electron transport chain, Kinetic modelling of Escherichia coli's electron transport chain coupled..., Literature Data from Alexeeva et al., J. Bacteriol., 2000, 2002, 2003, Measurement of cytochrome numbers, Physiological measurements from Sheffield chemostat, Steady State Oxygen Response of E. coli WT and two Electron Transport Ch..., Transcriptional profiling of steady states at different aerobiosis levels
Snapshots: No snapshots
Changing the oxygen availability leads to an adaptation of Escherichia coli at different biological levels. After pertubation of oxygen in chemostat experiments there are very quick responses. This investigation deals with this dynamical behaviour (transitions) of Escherichia coli within the aerobiosis scale. The change for different biological variables, in different areas of the organism like the electron transport chain, the TCA cycle or globally is investigated by wildtype and mutants experiments ...
Submitter: Matthew Rolfe
Studies: The Escherichia coli dynamical response to oxygen: from molecular intera...
Assays: Transcriptional profiling of E. coli during anaerobic to aerobic and aer...
Snapshots: No snapshots
A set of isogenic mutant strains was constructed which lack NADH Dehydrogenase I as well as two terminal oxidases, resulting in strains with linear respiratory chain. The different strains hence differ in the terminal oxidase and express either cytochrome bo, cytochrome bdI or cytochrome bdII. The different strains were cultivated in glucose-limited chemostats with defined low levels of oxygen supply. Biomass and by-product formation, gene expression and the phosphorylation state of the important ...
Submitter: Katja Bettenbrock
Investigation: Analysis of Escherichia coli with linear electr...
Assays: Determination of by-product formation and glucose uptake of mutants with..., Deternination of ArcA phosphroylation level in mutants with linear ETC a..., Gene expression analysis of mutants with linear electron transport chain...
Snapshots: No snapshots
Mutant strains in which one or more of the potential glucose uptake systems was deleted have been analyzed in aerobic and anaerobic batch cultures, as well as aerobic chemostat cultures.
Submitter: Sonja Steinsiek
Investigation: Analysis of the glucose transport in Escherichi...
Assays: Aerobic and anaerobic characterization of MG1655 and mutant strains with..., Aerobic and anaerobic characterization of MG1655 and mutant strains with..., Characterization of MG1655 and mutant strains under conditions of glucos..., TFinfer2
Snapshots: No snapshots
Submitter: Matthew Rolfe
Investigation: Dynamical studies for different oxygen availabi...
Assays: Transcriptional profiling of E. coli during anaerobic to aerobic and aer...
Snapshots: No snapshots
Submitter: Sebastian Henkel
Investigation: Steady state studies for different oxygen avail...
Assays: No Assays
Snapshots: No snapshots
Submitter: Michael Ederer
Investigation: Steady state studies for different oxygen avail...
Assays: ArcA phosphorylation at different aerobiosis levels (steady states), Determination of intracellular redox state by means of NAD/NADH ratio, Determination of intracellular redox state by means of ubiquinones (oxd/..., FNR activity at different aerobiosis levels (steady state), Literature Data from Alexeeva et al., J. Bacteriol., 2000, 2002, 2003, Measurement of cytochrome numbers, Physiological measurements from Sheffield chemostat, Steady State Oxygen Response of E. coli WT and two Electron Transport Ch..., Transcriptional profiling of steady states at different aerobiosis levels
Snapshots: No snapshots
Goals:
- Understanding the regulatory principles of Escherichia coli’s electron transport chain (ETC) for varying oxygen conditions in glucose-limited continuous cultures (especially regulatory loops via the transcription factors FNR and ArcA).
- Explaining the observed phenomena in the measurement data.
- Predicting unmeasured variables especially of the gene expression regulatory loops.
Means:
- Experiments (chemostat experiments within the aerobiosis scale).
- Kinetic modelling (especially ...
Submitter: Sebastian Henkel
Investigation: Steady state studies for different oxygen avail...
Assays: Kinetic modelling of Escherichia coli's electron transport chain, Kinetic modelling of Escherichia coli's electron transport chain coupled...
Snapshots: No snapshots
Mutant strains which carry deletions of important metabolic enzymes, as well as mutant strains with altered regulation, need to adapt by changing fluxes or gene expression to compensate with the absence/differed concentration of these key enzymes. This may give new insights in the regulation of these pathways/enzymes.
Submitter: Sonja Steinsiek
Investigation: Steady state studies for different oxygen avail...
Assays: Analysis of by-product formation rates in MG1655, Analysis of gene expression rates at different aerobiosis levels via RT-PCR, Characterization of E. coli MG1655 and ∆sdhC and ∆frdA isogenic mutant s..., Determination of intracellular metabolite concentrations
Snapshots: No snapshots
This assay describes how to analyze gene expression rates via RT-PCR.
Submitter: Sonja Steinsiek
Assay type: Gene Expression Profiling
Technology type: qRT-PCR
Investigation: Steady state studies for different oxygen avail...
Organisms: Escherichia coli
SOPs: Evans Medium, SUMO chemostat conditions, SUMO mRNA isolation Epicentre
Data files: Gene expression rates at different aerobiosis l... and 3 hidden items
Snapshots: No snapshots
This document describes by-product formation rates measured in MG1655 at steady-state conditions in Infors-Multifors-Bioreactors.
Submitter: Sonja Steinsiek
Assay type: Metabolomics
Technology type: Technology Type
Investigation: Steady state studies for different oxygen avail...
Organisms: Escherichia coli
SOPs: DCW measurement, Evans Medium, Measurement of extracellular metabolites, SUMO chemostat conditions
Data files: 3 hidden items
Snapshots: No snapshots
This experiment uses a low-copy plasmid based system (MG1655 Δlac FF(-41.5)/RW50) for measuring FNR activity. Initial acetate calibration of the chemostat with the MG1655 Δlac strain was carried out, with β-galactosidase activity from the FF(-41.5)/RW50 reporter plasmid measured at 100%, 80%, 50%, 20% and 0% aerobiosis levels. Finally, the aerobiosis levels were re-determined by calculating the actual acetate flux in the sampled chemostat runs.
Note: the strain used (MG1655 Δlac) is not the same ...
Submitter: Michael Ederer
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Steady state studies for different oxygen avail...
Organisms: Escherichia coli
SOPs: DCW measurement, Evans Medium, SUMO B-galactosidase assay
Data files: FNR activity at different aerobiosis levels REC..., FNR reporter activity at different aerobiosis l...
Snapshots: No snapshots
The task of this assay is to determine the impact of oxygen availability on the concentrations of metabolites from different central metabolic pathways. The focus lies on metabolites connected to glycolysis, tri-carbon-acid-cycle and energy metabolism. All strains have been cultured and analysed according to the SOPs listed below
Submitter: Stefan Stagge
Assay type: Metabolomics
Technology type: Liquid Chromatography Mass Spectrometry
Investigation: Steady state studies for different oxygen avail...
Organisms: Escherichia coli
SOPs: DCW measurement, Quenching and Extraction of intracellular metab..., SUMO chemostat conditions
Data files: 3 hidden items
Snapshots: No snapshots
These files show physiological measurements from the Sheffield Infors chemostat which were made during acetate calibration and also when sampling for the steady-state transcriptional profiles.
Submitter: Matthew Rolfe
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Steady state studies for different oxygen avail...
Organisms: Escherichia coli : K-12/MG1655 (wild-type / wild-type)
SOPs: DCW measurement, Evans Medium, SUMO chemostat conditions
Data files: Sheffield chemostat parameters .csv, Sheffield chemostat parameters .pdf
Snapshots: No snapshots
This assay involved the determination of transcriptional profiles at 0, 2, 5, 10, 15 and 20 minutes through aerobic to anaerobic gas transitions and anaerobic to aerobic gas transitions. In each case an aerobic or anaerobic steady state was created, RNA sampled (0 min) and then the gas supply changed. RNA samples were then taken from the time at which the gas supply was changed.
For anaerobic conditions 5% CO2, 95% N2 was used.
The full transcriptional dataset is available from ArrayExpress ...
Submitter: Matthew Rolfe
Assay type: Transcriptional Profiling
Technology type: Microarray
Investigation: Dynamical studies for different oxygen availabi...
Organisms: Escherichia coli : K-12/MG1655 (wild-type / wild-type)
SOPs: Evans Medium, SUMO RNA isolation from E. coli, SUMO Transcriptional profiling of E. coli, SUMO chemostat conditions
Data files: Dissolved oxygen tension aerobic to anaerobic .pdf, Dissolved oxygen tension anaerobic to aerobic .pdf, Entire transcriptional dataset - aerobic to ana..., Entire transcriptional dataset - anaerobic to a..., Filtered dataset - anaerobic to aerobic .csv, Filtered datset - aerobic to anaerobic transiti...
Snapshots: No snapshots
The transcriptional profiles of steady state E. coli cultures at a range of aerobiosis levels were determined. Two biological replicates and two technical replicates were carried out. Microarrays were carried out in a reference style (i.e. RNA vs a gDNA reference).
Submitter: Matthew Rolfe
Assay type: Transcriptomics
Technology type: Microarray
Investigation: Steady state studies for different oxygen avail...
Organisms: Escherichia coli : K-12/MG1655 (wild-type / wild-type)
SOPs: SUMO RNA isolation from E. coli, SUMO Transcriptional profiling of E. coli
Data files: Steady state transcriptional profiles at differ...
Snapshots: No snapshots
This assay describes the determination of concentrations and ratio of metabolites of adenine nucleotides (NAD and NADH). These metabolites have been extracted from Escherichia coli MG1655 and isgenic mutant strains.
Submitter: Stefan Stagge
Assay type: Metabolomics
Technology type: Initial Rate Experiment
Investigation: Steady state studies for different oxygen avail...
Organisms: Escherichia coli : K-12/MG1655 (wild-type / wild-type)
SOPs: 1 hidden item
Data files: 2 hidden items
Snapshots: No snapshots
This assay describes the determination of concentrations and ratio of metabolites of ubiquinones (oxidised and reduced form). These metabolites have been extracted from Escherichia coli MG1655 and isgenic mutant strains.
Submitter: Stefan Stagge
Assay type: Metabolomics
Technology type: HPLC
Investigation: Steady state studies for different oxygen avail...
Organisms: Escherichia coli : K-12/MG1655 (wild-type / wild-type)
SOPs: DCW measurement, Q/QH2 sampling, SUMO chemostat conditions
Data files: 091016 quinones complete data magdeburg, 091016 quinones complete data magdeburg
Snapshots: No snapshots
This .csv file shows the numbers of different cytochrome molecules per cell from steady-state continuously-grown cultures at various aerobiosis levels (0%, 31%, 56%, 85% and 115% AAU).
Submitter: Alison Graham
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Steady state studies for different oxygen avail...
Organisms: Escherichia coli : K-12/MG1655 (wild-type / wild-type)
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots
Submitter: Sebastian Henkel
Biological problem addressed: Model Analysis Type
Investigation: Steady state studies for different oxygen avail...
Organisms: No organisms
Models: Basic kinetic model of Escherichia coli's elect...
SOPs: No SOPs
Data files: Simulation results of local sensitivity analysi...
Snapshots: No snapshots
Submitter: Sebastian Henkel
Biological problem addressed: Model Analysis Type
Investigation: Steady state studies for different oxygen avail...
Organisms: No organisms
Models: Kinetic model of Escherichia coli's electron tr...
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots
E. coli MG1655 and ∆sdhC and ∆frdA isogenic mutant strains were characterized in batch growth curves aerobic and anaerobically. Optical density, glucose consumption and by-product accumulation were measured during growth.
Submitter: Sonja Steinsiek
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Steady state studies for different oxygen avail...
Organisms: Escherichia coli : K-12/MG1655 (wild-type / wild-type)
SOPs: Evans Medium, Measurement of extracellular metabolites
Data files: 2 hidden items
Snapshots: No snapshots
The model describes the behaviour of E. coli in a stationary chemostat with different oxygen availability.
Submitter: Michael Ederer
Biological problem addressed: Metabolic Network
Investigation: Steady state studies for different oxygen avail...
Organisms: Escherichia coli : MG1655 (del LAM;del rph-1 / pyrimidine starvation )
Models: A Mathematical Model of Metabolism and Regulati...
SOPs: No SOPs
Data files: 091016 quinones complete data magdeburg, Map with simulation results and 1 hidden item
Snapshots: No snapshots
Glucose transporter mutants were analyzed under aerobic and aerobic conditions in batch cultures with glucose as substrate. Acetate formation rates and glucose consumption rates were measured, as well as extracellular cAMP concentrations.
Submitter: Sonja Steinsiek
Assay type: Extracellular Metabolite Concentration
Technology type: Technology Type
Investigation: Analysis of the glucose transport in Escherichi...
Organisms: Escherichia coli : MG1655 (del LAM;del rph-1 / pyrimidine starvation )
SOPs: Measurement of extracellular metabolites and 1 hidden item
Data files: Growth, by-product formation and glucose consum..., Growth, yield and cAMP excretion under anaerobi...
Snapshots: No snapshots
Mutant strains which lack one or more of the glucose transport systems were analyzed in aerobic chemostat cultures and compared to batch cultures.
Submitter: Sonja Steinsiek
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Analysis of the glucose transport in Escherichi...
Organisms: No organisms
SOPs: SUMO chemostat conditions, SUMO mRNA isolation Epicentre
Data files: No Data files
Snapshots: No snapshots
MG1655 and mutant strains with defects in glucose transport systems were analyzed in aerobic and anaerobic batch cultures.
Submitter: Sonja Steinsiek
Assay type: Gene Expression Profiling
Technology type: Technology Type
Investigation: Analysis of the glucose transport in Escherichi...
Organisms: No organisms
SOPs: SUMO mRNA isolation Epicentre and 1 hidden item
Data files: Transcription of glucose uptake transport syste..., Transcription of glucose uptake transport syste...
Snapshots: No snapshots
Submitter: Michael Ederer
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Steady state studies for different oxygen avail...
Organisms: No organisms
SOPs: No SOPs
Data files: Numeric Data from Alexeeva et al., J. Bacteriol...
Snapshots: No snapshots
ArcA phosphorylation in chemostat cultures grown at different aerobiosis levels was quantitated by Phos-tag SDS-PAGE gel analysis and subsequent immunodetection of ArcA.
Submitter: Matthew Rolfe
Assay type: Experimental Assay Type
Technology type: SDS-PAGE
Investigation: Steady state studies for different oxygen avail...
Organisms: Escherichia coli : MG1655 (del LAM;del rph-1 / pyrimidine starvation )
SOPs: Determination of protein phosphorylation levels..., Evans Medium, SUMO chemostat conditions
Data files: No Data files
Snapshots: No snapshots
Using TFinfer2 to analyse data from "Characterization of MG1655 and mutant strains under conditions of glucose excess and limitation"
Submitter: Botond Cseke
Biological problem addressed: Model Analysis Type
Investigation: Analysis of the glucose transport in Escherichi...
Organisms: No organisms
Models: No Models
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots
Submitter: Katja Bettenbrock
Provider Name: Not specified
Provider's strain ID: Not specified
Organism: Escherichia coli k-12
Genotypes: del ptsG;del manXYZ
Phenotypes: wild-type
Comment: Not specified
Submitter: Katja Bettenbrock
Provider Name: Not specified
Provider's strain ID: Not specified
Organism: Escherichia coli k-12
Genotypes: del ptsG;del malEFG
Phenotypes: wild-type
Comment: Not specified
Submitter: Katja Bettenbrock
Provider Name: Not specified
Provider's strain ID: Not specified
Organism: Escherichia coli k-12
Genotypes: del ptsG;del mglBAC;del galP
Phenotypes: wild-type
Comment: Not specified
Submitter: Katja Bettenbrock
Provider Name: Not specified
Provider's strain ID: Not specified
Organism: Escherichia coli k-12
Genotypes: del ptsG;del mglBAC
Phenotypes: wild-type
Comment: Not specified
Submitter: Katja Bettenbrock
Provider Name: Not specified
Provider's strain ID: Not specified
Organism: Escherichia coli k-12
Genotypes: del ptsG
Phenotypes: slow growth with glucose
Comment: Not specified
Submitter: Katja Bettenbrock
Provider Name: Not specified
Provider's strain ID: Not specified
Organism: Escherichia coli k-12
Genotypes: del manXYZ
Phenotypes: wild-type
Comment: Not specified
Submitter: Katja Bettenbrock
Provider Name: Not specified
Provider's strain ID: Not specified
Organism: Escherichia coli k-12
Genotypes: del malEFG
Phenotypes: wild-type
Comment: Not specified
Submitter: Katja Bettenbrock
Provider Name: Not specified
Provider's strain ID: Not specified
Organism: Escherichia coli k-12
Genotypes: del mglBAC;del galP
Phenotypes: wild-type
Comment: Not specified
Submitter: Katja Bettenbrock
Provider Name: Not specified
Provider's strain ID: Not specified
Organism: Escherichia coli k-12
Genotypes: del galP
Phenotypes: wild-type
Comment: Not specified
Submitter: Katja Bettenbrock
Provider Name: Not specified
Provider's strain ID: Not specified
Organism: Escherichia coli k-12
Genotypes: del mglBAC
Phenotypes: wild-type
Comment: Not specified
Submitter: Katja Bettenbrock
Provider Name: Not specified
Provider's strain ID: Not specified
Organism: Escherichia coli k-12
Genotypes: del ubiE
Phenotypes: wild-type
Comment: Not specified
Submitter: Katja Bettenbrock
Provider Name: Not specified
Provider's strain ID: Not specified
Organism: Escherichia coli k-12
Genotypes: del menA
Phenotypes: wild-type
Comment: Not specified
Submitter: Katja Bettenbrock
Provider Name: Not specified
Provider's strain ID: Not specified
Organism: Escherichia coli k-12
Genotypes: del ubiCA
Phenotypes: wild-type
Comment: Not specified
Submitter: Katja Bettenbrock
Provider Name: Not specified
Provider's strain ID: Not specified
Organism: Escherichia coli k-12
Genotypes: del nuoB;del appB;del cyoB
Phenotypes: wild-type
Comment: Not specified
Submitter: Katja Bettenbrock
Provider Name: Not specified
Provider's strain ID: Not specified
Organism: Escherichia coli k-12
Genotypes: del nuoB;del cydB;del cyoB
Phenotypes: wild-type
Comment: Not specified
Submitter: Katja Bettenbrock
Provider Name: Not specified
Provider's strain ID: Not specified
Organism: Escherichia coli k-12
Genotypes: del nuoB;del cydAB;del appB
Phenotypes: wild-type
Comment: Not specified
Submitter: Katja Bettenbrock
Provider Name: Alex terBeek
Provider's strain ID: Not specified
Organism: Escherichia coli k-12
Genotypes: del nuoB
Phenotypes: wild-type
Comment: Not specified
Submitter: Katja Bettenbrock
Provider Name: Not specified
Provider's strain ID: Not specified
Organism: Escherichia coli k-12
Genotypes: del sdhA;del frdA
Phenotypes: wild-type
Comment: Not specified
Submitter: Katja Bettenbrock
Provider Name: Not specified
Provider's strain ID: Not specified
Organism: Escherichia coli k-12
Genotypes: del sucA
Phenotypes: faster growing variant
Comment: strain was selected from MG1655 sucA as a faster growing variant
Submitter: Katja Bettenbrock
Provider Name: Not specified
Provider's strain ID: Not specified
Organism: Escherichia coli k-12
Genotypes: del sucA
Phenotypes: wild-type
Comment: Not specified
The file contains simulated data of the electron transport chain model (EcoliETC1) for varying parameter values, i.e. a local sensitivity analysis.
Creator: Sebastian Henkel
Submitter: The JERM Harvester
This data file shows results from the different chemostat experiments.Gene expression rates are presented.
Creators: Katja Bettenbrock, Sonja Steinsiek
Submitter: Katja Bettenbrock
Mutants with defects in glucose transport systems were analyzed in a bioreactor and the transcription of certain uptake systems analyzed. Transcription profiles between batch and chemostat conditions were compared
Creator: Sonja Steinsiek
Submitter: Sonja Steinsiek
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
Creator: Katja Bettenbrock
Submitter: Katja Bettenbrock
by-product formation rates and glucose uptake rates of mutants with linear electron transport chain at different aerobiosis levels
Creator: Katja Bettenbrock
Submitter: Katja Bettenbrock
The ArcA phosphorylation state was determined for mutants with linear respiratory chain at defined aerobiosis levels.
Creator: Katja Bettenbrock
Submitter: Katja Bettenbrock
Gene expression levels in mutants with linear ETC were determined by RealTime RT-PCR
Creator: Katja Bettenbrock
Submitter: Katja Bettenbrock
This document shows the ArcA phosphorylation levels at different aerobiosis units, measured using Phos-tag gels, western immunoblotting. Exposed films were quantitated using ImageJ and the results shown here.
Creator: Matthew Rolfe
Submitter: Matthew Rolfe
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
Creators: Alexander Ter Beek, Klaas Hellingwerf
Submitter: The JERM Harvester
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
The data that was published in Alexeeva et al. [1-3] and Alexeeva [4] is an important prerequisite for SUMO. It is used for the development of the models and for the comparison with the SUMO data. By means of the program EasyNPlot [5] the data in the important plots of [1-3] and of the plot of the ArcA activity in [4] was digitalized. The result can be found in the attached files.
[1] Svetlana Alexeeva, Bart de Kort, Gary Sawers, Klaas J. Hellingwerf, and M. Joost Teixeira de Mattos. Effects of ...
Creator: Michael Ederer
Submitter: The JERM Harvester
Measurement of by-product formation rates, substrate consumption rates and extracellular concentrations of cAMP under aerobic batch conditions with glucose as substrate.
Creator: Sonja Steinsiek
Submitter: Sonja Steinsiek
Transcription of glucose uptake transport systems in a mutant background under anaerobic batch conditions.
Creator: Sonja Steinsiek
Submitter: Sonja Steinsiek
Transcription of glucose uptake transport systems in a mutant background under aerobic batch conditions.
Creator: Sonja Steinsiek
Submitter: Sonja Steinsiek
Measurement of by-product formation rates, substrate consumption rates and extracellular concentrations of cAMP under anaerobic batch conditions with glucose as substrate.
Creator: Sonja Steinsiek
Submitter: Sonja Steinsiek
Transcriptional profiles of steady-state chemostat cultures were measured at a range of oxygen levels using microarrays. Oxygen levels were defined by the aerobiosis scale of Alexeeva et al. (2002).
Creator: Matthew Rolfe
Submitter: Matthew Rolfe
The abscissa of the plots shows the percentage of aerobiosis that is a physiological measure for oxygen availability (http://www.ncbi.nlm.nih.gov/pubmed/11844770).
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Grey Boxes: Enzymes & Reactions blue lines/symbols: flux in mmol per gramm dry cell weight an hour red lines/symbols: mRNA levels
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White Boxes: Intracellular and extracellular metabolites blue lines/symbols: concentration of the metabolites (extracellular: mM, intracellular: AU)
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Yellow Boxes: Aggregated Quantities as yield, ...
Creator: Michael Ederer
Submitter: Michael Ederer
This .csv file contains the filtered datset of the aerobic to anaerobic transition. Values are shown if they show a statistically significant change relative to the 0 minute transcriptional profile (t-test p<0.05 and 2-fold cut-off).
Creator: Matthew Rolfe
Submitter: The JERM Harvester
This .csv file contains the filtered datset of the anaerobic to aerobic transition. Values are shown if they show a statistically significant change relative to the 0 minute transcriptional profile (t-test p<0.05 and 2-fold cut-off).
Creator: Matthew Rolfe
Submitter: The JERM Harvester
This is a pdf showing a graph of the dissolved oxygen tension of the culture during an aerobic to anaerobic transition.
Creator: Matthew Rolfe
Submitter: The JERM Harvester
This is a pdf showing a graph of the dissolved oxygen tension of the culture during an anaerobic to aerobic transition.
Creator: Matthew Rolfe
Submitter: The JERM Harvester
The model describes the catabolism of Escherichia coli and its regulation. The metabolic reactions are modeled by the thermokinetic model formalism. The model is simplified by assuming rapid equilibrium of many reactions. Regulation is modeled by phenomenological laws describing the activation or repression of enzymes and genes in dependence of metabolic signals. The model is intended to describe the behavior of E. coli in a chemostat culture in depedence on the oxygen supply.
The model is described ...
Creators: Michael Ederer, David Knies
Submitter: Michael Ederer
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Not specified
Organism: Escherichia coli
Investigations: Steady state studies for different oxygen avail...
This ordinary-differential equation model is a spatially lumped model showing the behaviour of oxygen in the three compartments medium, membrane and cytoplasm and its impact on FNR inactivation, hereby showing the effects of different oxygen concentrations, diffusion coefficients and reaction rates. The model was created with the Matlab SimBiology toolbox.
Creator: Samantha Nolan
Submitter: David Knies
Model type: Ordinary differential equations (ODE)
Model format: SBML
Environment: Not specified
This partial-differential equations model focuses on the oxygen gradients in consideration of the three-dimensional cell and environment.
Creator: Samantha Nolan
Submitter: David Knies
Model type: Partial differential equations (PDE)
Model format: Mathematica
Environment: Not specified
Code for joint probabilistic inference of transcription factor behaviour and gene-transcription factor as well as metabolite-transcription factor interaction based on genome and metabolite data.
Creators: Botond Cseke, Guido Sanguinetti
Submitter: Botond Cseke
Model type: Not specified
Model format: Matlab package
Environment: Matlab
The model presents the response of E.coli to different levels of oxygen supply, in which the oxidases, Cyo and Cyd, and their regulators, FNR and ArcBA systems, are included. The initial file 0.xml and supporting documents are for the model with FNR only. Four 0.xml files provided are at AAU level 31, 85, 115 and 217 respectively. The ArcBA system can be activated by revising the number of agents, ArcB, ArcA dimer, ArcA monomer, ArcA tetramer and ArcA octamer, in the initial file. The model needs ...
Bayesian model for inference of the activity of transcription factors from targets' mRNA levels. A standalone C sharp package (runs on linux and mac under MONO).
Creator: Guido Sanguinetti
Submitter: Guido Sanguinetti
Model type: Not specified
Model format: Not specified
Environment: Not specified
Organism: Not specified
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
The model describes the electron transport chain (ETC) of Escherichia coli by ordinary differential equations. Also a simplified growth model based on an abstract reducing potential describing the balance of electron donor (glucose) and electron acceptors is coupled to the ETC. The model should reproduce and predict the regulation of the described system for different oxygen availability within the aerobiosis scale (glucose limited continuous culture<=>chemostat). Therefore oxygen is changed ...
Creator: Sebastian Henkel
Submitter: Sebastian Henkel
Model type: Ordinary differential equations (ODE)
Model format: SBML
Environment: JWS Online
Organism: Escherichia coli
Investigations: Steady state studies for different oxygen avail...
Simplified model of the electron-transport chain(s) (ETC) of Escherichia coli and its regulation by ArcA and FNR. The goal is to demonstrate a hypothetical design principle in the regulatory structure (->partly qualitative parameter values). Oxygen is changed slowly (100% aerobiosis at 1000000 time units) thus the basis variable is not the time but the oxygen flux voxi.
Creator: Sebastian Henkel
Submitter: Sebastian Henkel
Model type: Ordinary differential equations (ODE)
Model format: SBML
Environment: Not specified
Organism: Escherichia coli
Investigations: Steady state studies for different oxygen avail...
The agent-based model involves the representation of each individual molecule of interest as an autonomous agent that exists within the cellular environment and interacts with other molecules according to the biochemical situation. FLAME environmet has beem used for agent-based development. The FLAME framework is an enabling tool to create agent-based models that can be run on high performance computers (HPCs). Models are created based upon extended finite state machines that include message input ...
Creator: Afsaneh Maleki-Dizaji
Submitter: Afsaneh Maleki-Dizaji
Model type: Agent based modelling
Model format: Not specified
Environment: FLAME
This assay uses a dual-wavelength spectrophotometer to quantify cytochromes present in the E. coli respiratory chain.
Creators: Alison Graham, Robert Poole, Jeff Green
Submitter: Alison Graham
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
This is a well-established, classical genetic method of constructing chromosomal monolysogenic fusions to a promoterless lacZ gene.
Creators: Alison Graham, Jeff Green, Robert Poole
Submitter: Alison Graham
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
The phosphorylation level of a particular protein can be determined using a procedure based upon western immunoblotting, with Phos-tag™ reagent present in the SDS-PAGE gel. The Phos-tag™ reagent, supplied in the form of Phos-tag™ acrylamide (Wako Pure Chemical Industries, AAL-107), causes proteins to be resolved both on the basis of size and phosphorylation state. This means that phosphorylated and de-phosphorylated forms of the same protein can be distinguished.
Creator: Matthew Rolfe
Submitter: Matthew Rolfe
The Gene-doctoring method of lambda-red deletion (Lee et al., 2009) was modified slightly to create chromosomal mutations of fnr.
Creator: Matthew Rolfe
Submitter: Matthew Rolfe
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
This method describes how one can quench metabolism of Escherichia coli and extract metabolites from many kinds of metabolite classes like: nucleotides, sugar-phosphates, organic acids ....
Creator: Stefan Stagge
Submitter: Stefan Stagge
This protocol describes the transcriptional profiling of E. coli cultures using microarrays. The protocol utilises RNA isolated as described in another SOP (SUMO RNA isolation from E. coli) and with hybridisation to Ocimum Ocichip E. coli K-12 microarrays.
Creator: Matthew Rolfe
Submitter: Matthew Rolfe
Investigations: Dynamical studies for different oxygen availabi..., Steady state studies for different oxygen avail...
Studies: The Escherichia coli dynamical response to oxyg..., The Escherichia coli steady state response to o...
Assays: Transcriptional profiling of E. coli during ana..., Transcriptional profiling of steady states at d...
This SOP describes the preparation of E. coli RNA
Creator: Matthew Rolfe
Submitter: Matthew Rolfe
Investigations: Dynamical studies for different oxygen availabi..., Steady state studies for different oxygen avail...
Studies: The Escherichia coli dynamical response to oxyg..., The Escherichia coli steady state response to o...
Assays: Transcriptional profiling of E. coli during ana..., Transcriptional profiling of steady states at d...
Creator: Martijn Bekker
Submitter: The JERM Harvester
Creator: Sonja Steinsiek
Submitter: The JERM Harvester
Investigations: Analysis of Escherichia coli with linear electr..., Analysis of the glucose transport in Escherichi..., Steady state studies for different oxygen avail...
Studies: Analysis of Escherichia coli strains with linea..., Characterization of mutant strains with defects..., Determination of the impact of specific enzyme ...
Assays: Aerobic and anaerobic characterization of MG165..., Analysis of by-product formation rates in MG1655, Characterization of E. coli MG1655 and ∆sdhC an..., Determination of by-product formation and gluco...
Creator: Katja Bettenbrock
Submitter: The JERM Harvester
Investigations: Analysis of Escherichia coli with linear electr..., Dynamical studies for different oxygen availabi..., Steady state studies for different oxygen avail...
Studies: Analysis of Escherichia coli strains with linea..., Determination of the impact of specific enzyme ..., The Escherichia coli dynamical response to oxyg..., The Escherichia coli steady state response to o...
Assays: Analysis of by-product formation rates in MG1655, Analysis of gene expression rates at different ..., ArcA phosphorylation at different aerobiosis le..., Characterization of E. coli MG1655 and ∆sdhC an..., FNR activity at different aerobiosis levels (st..., Gene expression analysis of mutants with linear..., Physiological measurements from Sheffield chemo..., Transcriptional profiling of E. coli during ana...
Creator: Martijn Bekker
Submitter: The JERM Harvester
Investigations: Steady state studies for different oxygen avail...
Studies: Determination of the impact of specific enzyme ..., The Escherichia coli steady state response to o...
Assays: Analysis of by-product formation rates in MG1655, Determination of intracellular metabolite conce..., Determination of intracellular redox state by m..., FNR activity at different aerobiosis levels (st..., Physiological measurements from Sheffield chemo...
This file describes how to isolate mRNA from E. coli using the kit from Epicentre, for gene expression analysis via RT-PCR
Creator: Sonja Steinsiek
Submitter: Sonja Steinsiek
Investigations: Analysis of Escherichia coli with linear electr..., Analysis of the glucose transport in Escherichi..., Steady state studies for different oxygen avail...
Studies: Analysis of Escherichia coli strains with linea..., Characterization of mutant strains with defects..., Determination of the impact of specific enzyme ...
Assays: Aerobic and anaerobic characterization of MG165..., Analysis of gene expression rates at different ..., Characterization of MG1655 and mutant strains u..., Gene expression analysis of mutants with linear...
This document describes the chemostat conditions to run comparable experiments in different bioreactors in different labs.
Creator: Sonja Steinsiek
Submitter: Sonja Steinsiek
Investigations: Analysis of Escherichia coli with linear electr..., Analysis of the glucose transport in Escherichi..., Dynamical studies for different oxygen availabi..., Steady state studies for different oxygen avail...
Studies: Analysis of Escherichia coli strains with linea..., Characterization of mutant strains with defects..., Determination of the impact of specific enzyme ..., The Escherichia coli dynamical response to oxyg..., The Escherichia coli steady state response to o...
Assays: Analysis of by-product formation rates in MG1655, Analysis of gene expression rates at different ..., ArcA phosphorylation at different aerobiosis le..., Characterization of MG1655 and mutant strains u..., Determination of by-product formation and gluco..., Determination of intracellular metabolite conce..., Determination of intracellular redox state by m..., Gene expression analysis of mutants with linear..., Physiological measurements from Sheffield chemo..., Transcriptional profiling of E. coli during ana...
This SOP describes the SUMO procedure for determining B-galactosidase activities.
Creator: Matthew Rolfe
Submitter: Matthew Rolfe
This SOP defines the format of SOPs used in the SUMO consortium.
Creator: Michael Ederer
Submitter: Michael Ederer
Investigations: 1 hidden item
Studies: 1 hidden item
Assays: 1 hidden item
Abstract (Expand)
Editor:
Date Published: 30th Sep 2014
Publication Type: Not specified
PubMed ID: 25268772
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Authors: , , , , , , S. Kunz, , , , , ,
Date Published: 7th May 2014
Publication Type: Not specified
PubMed ID: 24797925
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Authors: , , , S. Coakley, , ,
Date Published: 24th Apr 2014
Publication Type: Not specified
PubMed ID: 24763195
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Editor:
Date Published: 27th Mar 2014
Publication Type: Not specified
PubMed ID: 24723921
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Editor:
Date Published: 27th Jan 2014
Publication Type: Not specified
PubMed ID: 24475268
Citation:
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Authors: P. Sharma, S. Stagge, M. Bekker, K. Bettenbrock, K. J. Hellingwerf
Date Published: 7th Oct 2013
Publication Type: Not specified
PubMed ID: 24116043
Citation:
Abstract (Expand)
Editor:
Date Published: 8th Oct 2012
Publication Type: Not specified
DOI: 10.1128/JB.01502-12
Citation:
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Authors: , , Klaas J. Hellingwerf,
Date Published: 1st Sep 2012
Publication Type: Not specified
DOI: 10.1111/j.1742-4658.2012.08608.x
Citation:
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Authors: , Andrea Ocone, Melanie R Stapleton, Simon Hall, Eleanor W Trotter, , ,
Date Published: 8th Aug 2012
Publication Type: Not specified
PubMed ID: 22870390
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Authors: , Klaas J Hellingwerf, Maarten J Teixeira de Mattos,
Date Published: 27th Jul 2012
Publication Type: Not specified
PubMed ID: 22843529
Citation:
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Authors: , Salem Adra, Mesude Bicak, Shawn Chin, Simon Coakley, , , Chris Greenough, Duncan Jackson, Mariam Kiran, Sheila MacNeil, , Phil McMinn, Mark Pogson, , Eva Qwarnstrom, Francis Ratnieks, , Rod Smallwood, Tao Sun, David Worth
Date Published: 2012
Publication Type: Not specified
PubMed ID: 22052476
Citation:
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Authors: Eleanor W Trotter, , Andrea M Hounslow, C Jeremy Craven, Michael P Williamson, , ,
Date Published: 27th Sep 2011
Publication Type: Not specified
PubMed ID: 21980479
Citation:
Abstract
Date Published: 1st Jun 2011
Publication Type: Not specified
DOI: 10.1016/j.jbiotec.2011.03.015
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Authors: , , , Eleanor W Trotter, H M Shahzad Asif, Guido Sanguinetti, , ,
Date Published: 22nd Jan 2011
Publication Type: Not specified
PubMed ID: 21252224
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Authors: H M Shahzad Asif, , , Neil D Lawrence, Magnus Rattray,
Date Published: 24th Aug 2010
Publication Type: Not specified
PubMed ID: 20739311
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Authors: Adrian J Jervis, Jason C Crack, Gaye White, Peter J Artymiuk, Myles R Cheesman, Andrew J Thomson, Nick E Le Brun,
Date Published: 4th Mar 2009
Publication Type: Not specified
PubMed ID: 19261852
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Abstract (Expand)
Authors: , Jason C Crack, Andrew J Thomson, Nick E LeBrun
Date Published: 24th Feb 2009
Publication Type: Not specified
PubMed ID: 19246238
Citation:
Presentation by Michael Ederer and Klaas Hellingwerf at the SysMO Conference 2013 (Feb 2013, Berlin)
Creator: Michael Ederer
Submitter: Michael Ederer
Presentation by Robert Pool at the SysMO Conference (Feb 2013 in Berlin)
Creator: Robert Poole
Submitter: Michael Ederer
Summary 1.1 modifying TFinfer to model the TFs using ON/OFF switches (fast response model), 1.2 trying to infer metabolites effect using a joint gene-tf-metabolite model, 2 analysing aerbiosis data using a similar model, 3 clustering genes for extending the EC network to obtain better fits to the data (feedback loop).
Creator: Botond Cseke
Submitter: Botond Cseke