SEEK ID: https://fairdomhub.org/people/66
Location: Germany
ORCID: Not specified
Joined: 10th Jul 2009
Expertise: Microbiology, Biochemistry, Bioinformatics, Data Management, Systems Biology, Bacterial metabolism | Metabolic engineering
Tools: Not specified
Related items
- Programmes (3)
- Projects (4)
- Institutions (1)
- Investigations (3+1)
- Studies (3)
- Assays (7)
- Data files (4)
- Models (2)
- Publications (5)
Projects that do not fall under current programmes.
Projects: Manchester Institute for Biotechnology, ICYSB 2015 - International Practical Course in Systems Biology, iRhythmics, INBioPharm, EmPowerPutida, Systo models, MycoSynVac - Engineering Mycoplasma pneumoniae as a broad-spectrum animal vaccine, Multiscale modelling of state transitions in the host-microbiome-brain network, Extremophiles metabolsim, NAD COMPARTMENTATION, Agro-ecological modelling, Bergen(Ziegler lab) project AF-NADase, NAMPT affinity, Stress granules, Modelling COVID-19 epidemics, Bio-crop, ORHIZON, Coastal Data, SASKit: Senescence-Associated Systems diagnostics Kit for cancer and stroke, hybrid sequencing, HOST-PAR, BioCreative VII, Boolean modeling of Parkinson disease map, Orphan cytochrome P450 20a1 CRISPR/Cas9 mutants and neurobehavioral phenotypes in zebrafish, Selective Destruction in Ageing, Viral Metagenomic, Synthetic biology in Synechococcus for bioeconomy applications (SynEco), testproject, SDBV ephemeral data exchanges, Test project, The BeeProject, PHENET, LiceVault, EbN1 Systems Biology, UMRPégase, DeCipher, Heat stress response of the red-tide dinoflagellate Prorocentrum cordatum, middle ear, datamgmt, Institut Pasteur's projects, The nucleus of Prorocentrum cordatum, qpcr, MRC-UNICORN, Test project for Sciender, qPCR, Artificial organelles_Pathogen digestion, Supplementary Information 2 associated with the manuscript entitled " Label free Mass spectrometry proteomics reveals different pathways modulated in THP-1 cells infected with therapeutic failure and drug resistance Leishmania infantum clinical isolates", FAIR Functional Enrichment, PTPN11 mutagenesis, Supplementary Information 2 associated with the manuscript entitled "Label free Mass spectrometry proteomics reveals different pathways modulated in THP-1 cells infected with therapeutic failure and drug resistance Leishmania infantum clinical isolates", iPlacenta- Placenta on a chip, Near Surface Wave-Coherent Measurements of Temperature and Humidity, A Meta-Analysis of Functional Recovery of Aphasia after Stroke by Acupuncture Combined with Language Rehabilitation Training, Phytoplankton phenology in the Bay of Biscay: using remote sensing to assess and raise awareness of climate change impacts on the sea, Master-BIDS, Endometriosis, Vitis Data Crop, MESI-STRAT Review, Establishing an innovative and transnational feed production approach for reduced climate impact of the aquaculture sector and future food supply, ARAX: a web-based computational reasoning system for translational biomedicine, Adaptation of Salmonella enterica, I AM FRONTIER, ., PhD Nicotinic Acetylcholine Receptors, SFB1361 playground, Amaizing, Conspicuous chloroplast with LHC‒PSI/II‒megacomplex and diverse PBPs in the marine dinoflagellate Prorocentrum cordatum, icpm-kth, SDBV/HITS, sample project, TestingSeek, Genomic Medicine, Remodeling of cIV, Virtual Human Platform for Safety Assessment, PROMISEANG, URGI, Matsutake, UNDESIRABLE EFFECTS OF POST COVID-19 VACCINATION: A DESCRIPTIVE STUDY, WINTER 2022, Semantic Table Interpretation in Chemistry, MS identification of L infantum proteins related to their drug resistance patterns for new drug targets identification and ecotoxicological evaluations of their environmental and interspecies impact, the Supplementary materials for paper, ToxiGen - Reproductive toxicity and transgenerational effects of petroleum mixtures in fish, PhotoBoost, Measurement of Fisheries Provisioning Services and its Pressure to Support Sustainability of Fisheries in The Jatigede Reservoir, Indonesia, FIsh data on 2022 in the Jatigede Reservoir, ImmPort - data sharing, MESI-Review 2024, REWIRED: comparative RNA-seq and ATAC-seq in six salmonids and six outgroup telest fishes, REWIRED, Data Repository, APPN Test Project, Enhanced Anticancer Effect of Thymidylate Synthase Dimer Disrupters Promoting Intracellular Accumulation, BIDS, BioRECIPE representation format, UMass Chan BioImage DMS Core_FAIR Metadata Templates, Function, control and engineering of microbial methylotrophy, Pectobacterium pangenome, New Optical Coherence Tomography Biomarkers Identified with Deep Learning for Risk Stratification of Patients with Age-related Macular Degeneration, Virulence-related genes expression in planktonic mixed cultures of Candida albicans and non-albicans Candida species, Screening of Secondary Plant Metabolites on Antihelmintic Activity in Ascaris scum, Munich Cluster for Systems Neurology, Test project May 2024, Biospecimen Collection Protocol, Winter Wheat (Triticum aestivum L.) Grain Yield, Quality, and Net Photosynthesis When Grown Under Semi-Transparent Cadmium Telluride Photovoltaic Modules Near Maturity, Benefit for All FAIR Data, Implementation of Nanopore Sequencing for Detection of Treatment Induced Transcriptomic and Epitranscriptomic Changes in Leukaemic Tumour Models, DPL, Glycogen Metabolism in bacteria, ILS Ceramide Ring Trial, Project Test, DeepCurate, Revisiting mutational resistance to ampicillin and cefotaxime in Haemophilus influenzae, Cancer Systems Biology Consortium (CSBC), Biochemical characterization of the feedforward loop between CDK1 and FOXM1 in epidermal stem cells, Drug Discovery and Biotechnology Standard Operating Procedures, EDITH (Ecosystem Digital Twins in Health) test project, Fluid flow project, Smart Garden Watering System, The role of different fatty acids, AQUACIRCLE
Web page: Not specified
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/
e:Bio - Innovations Competition Systems Biology
Projects: SulfoSys - Biotec, SBEpo - Systems Biology of Erythropoietin
Web page: http://www.fona.de/en/14276
Programme: Independent Projects
Public web page: Not specified
Organisms: Aromatoleum aromaticum
Silicon cell model for the central carbohydrate metabolism of the archaeon Sulfolobus solfataricus under temperature variation
Programme: SysMO
Public web page: http://sulfosys.com/
Organisms: Sulfolobus solfataricus
Within the e:Bio - Innovationswettbewerb Systembiologie (Federal Ministry of Education and Research (BMBF)), the SulfoSYSBIOTECH consortium (10 partners), aim to unravel the complexity and regulation of the carbon metabolic network of the thermoacidophilic archaeon Sulfolobus solfataricus (optimal growth at 80°C and pH 3) in order to provide new catalysts ‘extremozymes’ for utilization in White Biotechnology.
Based on the available S. solfataricus genome scale metabolic model (Ulas et al., 2012) ...
Programme: e:Bio
Public web page: http://www.sulfosys.com/
Organisms: Sulfolobus solfataricus
Systems analysis of process-induced stresses: towards a quantum increase in process performance of Pseudomonas putida as the cell factory of choice for white biotechnology.
The specific goal of this project is to exploit the full biotechnological efficacy of Pseudomonas putida KT2440 by developing new optimization strategies that increase its performance through a systems biology understanding of key metabolic and regulatory parameters that control callular responses to key stresses generated ...
Programme: SysMO
Public web page: http://www.psysmo.org/
Organisms: Pseudomonas putida
Present in many industrial effluents and as intermediate of lignin degradation, phenol is a widespread pollutant causing serious environmental problems, due to its toxicity to animals and humans. Removal of phenol from the environment by bacteria has been studied extensively over the past decades, but only little is known about phenol biodegradation in hostile environments. We combined metabolomics and transcriptomics together with metabolic modelling to elucidate the organism’s response to growth ...
Submitter: Jacqueline Wolf
Studies: Comparison of S. solfataricus P2 grown on phenol vs D-glucose
Assays: Metabolome analysis: phenol vs D-glucose, RNA Sequencing: phenol vs D-glucose
Snapshots: No snapshots
Integrated systems biology approach including transcriptome, metabolome, proteome analyses and modelling to elucidate amino acid degradation in S. solfataricus P2.
Submitter: Jacqueline Wolf
Studies: Comparison of Sulfolobus solfataricus P2 grown on caseinhydrolysate and ...
Assays: Metabolic modelling of S. solfataricus during growth on casaminoacids, Metabolome analysis: Casaminoacids versus D-Glc, Proteome analysis: Casaminoacids versus D-Glc, RNA sequencing: Casaminoacids vs D-glc
Snapshots: No snapshots
Integrated systems biology approach including transcriptome, metabolome, biochemistry, proteome analyses and modelling to elucidate the catabolic pathway for L-fucose in S. solfataricus P2.
Submitter: Theresa Kouril
Studies: Comparison of S. solfataricus grown on l-fucose and d-glucose
Assays: Cell free extract activity measurements: L-fuc/d-glc, Metabolic model of Sulfolobus solfataricus, Proteome analysis: d-fuc / l-glu, RNA sequencing:l-fuc/d-glu, intracellular metabolome analysis: l-fucose vs d-glucose
Snapshots: No snapshots
To investigate phenol degradation in Saccharolobus solfataricus transcriptome and metabolome analyses were performed with cells grown on phenol as sole carbon source. Cells grown on D-glucose served as reference. Metabolic modelling was used to compare efficiency of phenol utilization in terms of oxygen demand and energy yield with the reference condition.
Submitter: Jacqueline Wolf
Investigation: Phenol degradation in Saccharolobus solfataricu...
Assays: Metabolome analysis: phenol vs D-glucose, RNA Sequencing: phenol vs D-glucose
Snapshots: No snapshots
To investigate amino acid degradation pathways in Sulfolobus solfataricus transcriptome, proteome and metabolome analyses were performed on cells grown on caseinhydrolysate as carbon source. Cells grown with glucose served as reference condition. Metabolic modelling was used to compare the efficiency of different degradation routes.
Submitter: Jacqueline Wolf
Investigation: Amino acid degradation in Sulfolobus solfataric...
Assays: Metabolic modelling of S. solfataricus during growth on casaminoacids, Metabolome analysis: Casaminoacids versus D-Glc, Proteome analysis: Casaminoacids versus D-Glc, RNA sequencing: Casaminoacids vs D-glc
Snapshots: No snapshots
Submitter: Theresa Kouril
Investigation: L-fucose degradation in Sulfolobus solfataricus P2
Assays: Cell free extract activity measurements: L-fuc/d-glc, Metabolic model of Sulfolobus solfataricus, Proteome analysis: d-fuc / l-glu, RNA sequencing:l-fuc/d-glu, intracellular metabolome analysis: l-fucose vs d-glucose
Snapshots: No snapshots
Submitter: Theresa Kouril
Assay type: Metabolite Profiling
Technology type: Gas Chromatography Mass Spectrometry
Investigation: L-fucose degradation in Sulfolobus solfataricus P2
Organisms: Sulfolobus solfataricus
SOPs: No SOPs
Data files: Metabolomics L-fuc vs D-glc
Snapshots: No snapshots
Genome scale metabolic model of Sulfolobus solfataricus specific scenario: modelling of L-fucose degradation pathways
Submitter: Jacqueline Wolf
Biological problem addressed: Metabolic Network
Investigation: L-fucose degradation in Sulfolobus solfataricus P2
Organisms: Sulfolobus solfataricus
Models: Metabolic model of Sulfolobus solfataricus
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots
Intracellular and extracellular metabolome analysis
Submitter: Jacqueline Wolf
Assay type: Metabolite Profiling
Technology type: Gas Chromatography Mass Spectrometry
Investigation: Amino acid degradation in Sulfolobus solfataric...
Organisms: Sulfolobus solfataricus
SOPs: No SOPs
Data files: Amino acid depletion profile of S. solfataricus..., Calculation of amino acid uptake rates, Integrated summary of transcriptomics and prote..., Metabolomics Casaminoacids vs Glc
Snapshots: No snapshots
Growth on D-glucose served as reference scenario
Submitter: Jacqueline Wolf
Biological problem addressed: Genome Scale
Investigation: Amino acid degradation in Sulfolobus solfataric...
Organisms: Sulfolobus solfataricus
Models: Metabolic model of Sulfolobus solfataricus
SOPs: No SOPs
Data files: Biomass composition of S. solfataricus P2 grown..., Calculation of amino acid uptake rates, Description of changes made to the model compar..., Distribution of enzymes involved in oxidative S...
Snapshots: No snapshots
Submitter: Jacqueline Wolf
Assay type: Experimental Assay Type
Technology type: Gas Chromatography
Investigation: Phenol degradation in Saccharolobus solfataricu...
Organisms: Sulfolobus solfataricus
SOPs: No SOPs
Data files: Metabolome analysis phenol vs glucose
Snapshots: No snapshots
All files for metabolic modeling using the Metano toolbox, including the scenarios and flux balance analyses.
Submitter: Julia Koblitz
Biological problem addressed: Model Analysis Type
Investigation: Systems biology investigation of aromatic compo...
Study: Metabolic Modelling
Organisms: No organisms
Models: EbN1 stoichiometric model iAA835 (Metano)
SOPs: No SOPs
Data files: Model - Scenario - 3-HBz aerobic, Model - Scenario - 3-HBz anaerobic, Model - Scenario - 4HPP aerobic, Model - Scenario - 4HPP anaerobic, Model - Scenario - Acetate aerobic, Model - Scenario - Acetate anaerobic, Model - Scenario - Benzoate aerobic, Model - Scenario - Benzoate anaerobic, Model - Scenario - Phenylalanine aerobic, Model - Scenario - Phenylalanine anaerobic
Snapshots: No snapshots
All flux balance analyses of the stoichiometric model
Submitter: Julia Koblitz
Biological problem addressed: Modelling analysis
Investigation: Systems biology investigation of aromatic compo...
Study: Metabolic Modelling
Organisms: Aromatoleum aromaticum : EbN1T (wild-type / wild-type)
Models: EbN1 stoichiometric model iAA835 (Metano), EbN1 stoichiometric model iAA835 (SBML)
SOPs: No SOPs
Data files: Model | Biomass composition, Model | Flux balance analysis (FBA), Model | Simulation parameters and results
Snapshots: No snapshots
Creators: Meina Neumann-Schaal, Dietmar Schomburg, Julia Koblitz
Submitter: Julia Koblitz
Investigations: Systems biology investigation of aromatic compo...
Studies: Metabolic Modelling
Assays: Metabolic modeling of EbN1
Sulfolobus solfataricus P2 was cultivated on 1 % Caseinhydrolysate. Samples of the culture supernatants were taken at regular intervalls and analyzed by GC-MS. To evaluate the stability of amino acids under cultivation conditions an additional non-inoculated control culture was also analyzed.
Creators: Jacqueline Wolf, Dietmar Schomburg, Meina Neumann-Schaal, Julia Hofmann
Submitter: Jacqueline Wolf
Intracellular metabolome analysis of S. solfataricus P2 grown on caseinhydrolysate or D-glucose as sole carbon source. Samples were analyzed with GC-MS. CoA derivatives were analyzed with LC-MS.
Creators: Jacqueline Wolf, Dietmar Schomburg
Submitter: Jacqueline Wolf
Comparative GC-MS based metabolomics of S. solfataricus growing on either L-fucose or D-glucose. CoA derivatives were analysed via HPLC-MS
Creators: Jacqueline Wolf, Dietmar Schomburg
Submitter: Jacqueline Wolf
This stoichiometric model of Aromatoleum aromaticum EbN1 is a genome-scale model and comprises 655 enzyme-catalyzed reactions and 731 distinct metabolites.
The model is in the plain-text reaction format of Metano that is human-readable and can be opened with every text editor. To run this version of the model, please use the Metano Modeling Toolbox (mmtb.brenda-enzymes.org) and the associated scenario files.
Creators: Julia Koblitz, Dietmar Schomburg, Meina Neumann-Schaal
Submitter: Julia Koblitz
Model type: Stoichiometric model
Model format: Not specified
Environment: Not specified
Organism: Aromatoleum aromaticum
Investigations: Systems biology investigation of aromatic compo...
Studies: Metabolic Modelling
Assays: Metabolic modeling of EbN1, Scenario files for Metano metabolic modeling
Metabolic model of Sulfolobus solfataricus P2 in the SBML (xml) and metano (txt, sce, fba) format. Scenarios are specific for growth on D-glucose or L-fucose as sole carbon source. Different theoretical routes of L-fucose degradation were modeled (E. coli-like, Xanthomonas-like and lactaldehyde-forming). Highest overall agreement between the model and experimental data was observed for the lactaldehyde-forming route.
Creators: Jacqueline Wolf, Helge Stark, Dietmar Schomburg
Submitter: Jacqueline Wolf
Model type: Metabolic network
Model format: SBML
Environment: Not specified
Organism: Sulfolobus solfataricus
Investigations: L-fucose degradation in Sulfolobus solfataricus P2
Abstract (Expand)
Authors: A. S. Figueiredo, T. Kouril, D. Esser, P. Haferkamp, P. Wieloch, D. Schomburg, P. Ruoff, B. Siebers, J. Schaber
Date Published: 12th Jul 2017
Publication Type: Not specified
PubMed ID: 28692669
Citation: PLoS One. 2017 Jul 10;12(7):e0180331. doi: 10.1371/journal.pone.0180331. eCollection 2017.
Abstract (Expand)
Authors: Helge Stark, Jacqueline Wolf, Andreas Albersmeier, Trong K. Pham, Julia D. Hofmann, Bettina Siebers, Jörn Kalinowski, Phillip C. Wright, Meina Neumann-Schaal, Dietmar Schomburg
Date Published: 29th May 2017
Publication Type: Not specified
DOI: 10.1111/febs.14105
Citation: FEBS J 86 : 156
Abstract (Expand)
Authors: J. Wolf, H. Stark, K. Fafenrot, A. Albersmeier, T. K. Pham, K. B. Muller, B. Meyer, L. Hoffmann, L. Shen, S. P. Albaum, T. Kouril, K. Schmidt-Hohagen, M. Neumann-Schaal, C. Brasen, J. Kalinowski, P. C. Wright, S. V. Albers, D. Schomburg, B. Siebers
Date Published: 10th Sep 2016
Publication Type: Not specified
PubMed ID: 27611014
Citation: Mol Microbiol. 2016 Sep 9. doi: 10.1111/mmi.13498.
Abstract (Expand)
Authors: , I. F. Escapa, C. Jager, J. Puchalka, , , ,
Date Published: 20th Mar 2012
Publication Type: Not specified
PubMed ID: 22433058
Citation:
All authors
Abstract (Expand)
Authors: , Dominik Esser, , , , , , Julia Reimann, , , Daniela Teichmann, Marleen van Wolferen, , , , , , , , , ,
Date Published: 31st Aug 2009
Publication Type: Not specified
PubMed ID: 19802714
Citation: