SULFOSYSbiotech_Proteome analysis Version 1
Protein extraction, iTRAQ labeling, peptides separation, mass spectrometry and data analysis
SEEK ID: https://fairdomhub.org/sops/211?version=1
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SOP_Proteomics_SEEK.pdf
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Created: 5th Feb 2015 at 13:45
Last updated: 20th Oct 2016 at 08:23
Last used: 25th Aug 2019 at 06:45
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Projects: SulfoSys, SulfoSys - Biotec
Institutions: University Duisburg-Essen
Projects: SulfoSys, SulfoSys - Biotec
Institutions: University of Sheffield
Projects: SulfoSys, SulfoSys - Biotec
Institutions: University of Sheffield
I am the foundation Professor of Systems Biology and Engineering within the Department of Chemical and Process Engineering (CPE), at The University of Sheffield. My research philosophy is centred on a mechanistic systems biology approach to solve biochemical reaction engineered processes. I wish to pursue issues involved in the effective utilisation of biological resources. The approach is specifically targeted at the conjunction of chemical engineering (metabolic engineering and synthetic biology),
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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/
Integrated systems biology approach including transcriptome, metabolome, proteome analyses and modelling to elucidate amino acid degradation in S. solfataricus P2.
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Integrated systems biology approach including transcriptome, metabolome, biochemistry, proteome analyses and modelling to elucidate the catabolic pathway for L-fucose in S. solfataricus P2.
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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
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Contributor: Jacqueline Wolf
Assay type: Proteomics
Technology type: Tandem Mass Spectrometry
Snapshots: No snapshots
Contributor: Theresa Kouril
Assay type: Proteomics
Technology type: Tandem Mass Spectrometry
Snapshots: No snapshots
