Dietmar Schomburg
SEEK ID: https://fairdomhub.org/people/66
Location:
Germany
Expertise: Bacterial metabolism | Metabolic engineering, Systems Biology, Data Management, Bioinformatics, Biochemistry, Microbiology
Tools: Not specified
ORCID: Not specified
Dietmar's tagsRelated items
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)
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Programme: e:Bio
Public web page: http://www.sulfosys.com/
Silicon cell model for the central carbohydrate metabolism of the archaeon Sulfolobus solfataricus under temperature variation
Programme: SysMO
Public web page: http://sulfosys.com/
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
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Programme: SysMO
Public web page: http://www.psysmo.org/
Integrated systems biology approach including transcriptome, metabolome, proteome analyses and modelling to elucidate amino acid degradation in S. solfataricus P2.
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.
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.
Person responsible: Jacqueline Wolf
Snapshots: No snapshots
Intracellular and extracellular metabolome analysis
Contributor: Jacqueline Wolf
Assay type: Metabolite Profiling
Technology type: Gas Chromatography Mass Spectrometry
Snapshots: No snapshots
Growth on D-glucose served as reference scenario
Contributor: Theresa Kouril
Assay type: Metabolite Profiling
Technology type: Gas Chromatography Mass Spectrometry
Snapshots: No snapshots
Genome scale metabolic model of Sulfolobus solfataricus
specific scenario: modelling of L-fucose degradation pathways
Contributor: Jacqueline Wolf
Biological problem addressed: Metabolic Network
Snapshots: No snapshots
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
Contributor: Jacqueline Wolf
DownloadIntracellular 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
Contributor: 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
Contributor: Jacqueline Wolf
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
Contributor: Jacqueline Wolf
Model type: Metabolic network
Model format: SBML
Environment: Not specified
Abstract (Expand)
Authors: Sofia Figueiredo, Theresa Kouril, Patrick Haferkamp, Patricia Wieloch, Dietmar Schomburg, Peter Ruoff, Bettina Siebers, Jörg Schaber, Esser D.
Date Published: 12th Jul 2017
Journal: PLoS One
Abstract (Expand)
Authors: Helge Stark, Jacqueline Wolf, Andreas Albersmeier, Trong Khoa Pham, Bettina Siebers, Phil Wright, Dietmar Schomburg, Hofmann Julia D.,Kalinowski Jörn,Neumann-Schaal Meina
Date Published: 29th May 2017
Journal: FEBS J
Abstract (Expand)
Authors: Jacqueline Wolf, Helge Stark, Andreas Albersmeier, Trong Khoa Pham, Stefan Albaum, Theresa Kouril, Phil Wright, Sonja-Verena Albers, Dietmar Schomburg, Bettina Siebers, Fafenrot K.,Muller K. B.,Meyer B.,Hoffmann L.,Shen L.,Schmidt-Hohagen K.,Neumann-Schaal M.,Brasen C.,Kalinowski J.
Date Published: 10th Sep 2016
Journal: Mol Microbiol
Abstract (Expand)
Authors: Ignacio Poblete Castro, Carolyn Lam, Dietmar Schomburg, Auxi Prieto, Vitor Martins Dos Santos, Escapa I. F.,Jager C.,Puchalka J.
Date Published: 20th Mar 2012
Journal: Microb Cell Fact
Abstract (Expand)
Authors: Melanie Zaparty, Susanne Gertig, Patrick Haferkamp, Theresa Kouril, Andrea Manica, Trong Khoa Pham, Kerstin Schreiber, Pawel Sierocinski, Mathias Von Jan, Patricia Wieloch, Sonja-Verena Albers, Arnold Driessen, Hans-Peter Klenk, Christa Schleper, Dietmar Schomburg, John Van Der Oost, Phil Wright, Bettina Siebers, Esser Dominik,Reimann Julia,Teichmann Daniela,van Wolferen Marleen
Date Published: 31st Aug 2009
Journal: Extremophiles
