Investigations
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Submitter: Jacky Snoep
Studies: Substrate preferences for AKR1C3, and implications of varying AKR1C3:17B...
Assays: No Assays
The objectives of WP1 within the colosys project are:
- Produce resources of data and information that will be used for the identification of CC driver genes (WP2) and for the construction and configuration of computational models of cancer-related biological processes (WP2 and WP3)
- Integrate information from public patient data and cancer cell line data repositories with information from project specific clinical and model data
- Convert information from public cellular signalling databases ...
Experimental data and all related material for the publication "Multi -omics reveal lifestyle of acidophile, mineral-oxidizing model species Leptospirillum ferriphilumT". changed ID
Experimental data and all related material for the publication "Multi -omics reveal lifestyle of acidophile, mineral-oxidizing model species Leptospirillum ferriphilumT".
Submitter: Malte Herold
Studies: Omics_data_analysis
Assays: Experimental methods, Genomics, Proteomics, RNAseq
Gene co-epxression network analyses are common in the study of large scale biological data sets. In this study, we have developed a methodology for the comparison of pairs of co-expression networks using the s-core network peeling approach. We apply the methodology to gene-expression data for human and mouse.
The gluconeogenic conversion of 3-phosphoglycerate via 1,3-bisphosphoglycerate to glyceraldehyde-3-phosphate was compared at 30 C and at 70 C. At 30 C it was possible to produce 1,3-bisphosphoglycerate from 3-phosphoglycerate with phosphoglycerate kinase, but at 70 C, 1,3- bisphosphoglycerate was dephosphorylated rapidly to 3-phosphoglycerate, effectively turning the phosphoglycerate kinase into a futile cycle. At both temperatures it was possible to convert 3-phosphoglycerate to glyceraldehyde ...
Submitter: Jacky Snoep
Studies: BPG stability, PGK-30C, PGK-70C, PGK-GAPDH 30C & 70C
Assays: BPG degradation, BPG stability analysis, PGK - GAPDH models, PGK 30C data, PGK 30C model, PGK 70 data, PGK 70C model, PGK-GAPDH 30, PGK-GAPDH 70
Drug detoxification dynamics explain the postantibiotic effect
Understanding how liver function arises from the complex interaction of morphology, perfusion, and metabolism from single cells up to the entire organ requires systems-levels computational approaches.
Submitter: Matthias König
Studies: A Multiscale Computational Model of Human Galactose Metabolism, PKDB Caffeine Study
Assays: Digitized pharmacokinetics data (Akinyinka2000), Digitized pharmacokinetics data (Amchin1999), Digitized pharmacokinetics data (Blanchard1983a), Digitized pharmacokinetics data (Haller2002), Digitized pharmacokinetics data (Healy1991), Digitized pharmacokinetics data (Hetzler1990), Digitized pharmacokinetics data (Jeppesen1996), Digitized pharmacokinetics data (Kakuda2014), Digitized pharmacokinetics data (Kaplan1997), Digitized pharmacokinetics data (Magnusson2008), Digitized pharmacokinetics data (Oh2012), Digitized pharmacokinetics data (Perera2011), Digitized pharmacokinetics data (Spigset1999a), Digitized pharmacokinetics data (Tanaka2014), Galactose Modelling
Protein abundance of AKT and ERK pathway components governs cell-type- specific regulation of proliferation
Antibiotics are made during the second phase of growth when there is a transition in metabolism from primary to secondary metabolism. Primary metabolism is growth related and involves all the normal cellular activities associated with cell growth and division. Whereas secondary metabolism is non-growth linked and is non-essential but many important activities occur during this phase which help the bacterium survive.
One of these activities is antibiotic production and is widespread in streptomycetes ...
Submitter: Jay Moore
Studies: ScoCyc metabolic pathway curation, Timeseries 1
Assays: Metabolic pathway curation, Online/offline measurements, metabolomics, proteomics, transcriptomics
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
Research in Systems Biology involves integrating data and knowledge about the dynamic processes in biological systems in order to understand and model them. By connecting fields such as genomics, proteomics, bioinformatics, mathematics, cell biology, genetics, mathematics, engineering and computer sciences, Systems Biology enables discovery of yet unknown principles underlying the functioning of living cells. At the same time, testable and predictive models of complex cellular pathways and ...
The investigation entails the construction and validation of a detailed mathematical model for glycolysis of the malaria parasite Plasmodium falciparum in the blood stage trophozoite form.
Submitter: Dawie van Niekerk
Studies: Model analysis, Model construction, Model validation
Assays: ALD, ATPASE, Culturing and synchronisation of P. falciparum, ENO, G3PDH, GAPDH, GLC incubation, GLCtr, GLYtr, HK, Inhibition of glucose transport, Inhibition of lactate flux, LACtr, LDH, PFK, PGI, PGK, PGM, PK, PYRtr, Steady state, Supply-demand analysis, TPI, Trophozoite Isolation and Lysate Preparation
Submitter: Ron Henkel
Tool and work flow development for computational biology.
Design principles of nuclear receptor signaling: how complex networking improves signal transduction
Basically extending SYSMO-LAB 1st phase into second with addition of fourth species, Lb. plantarum. The main focus is amino acid metabolism. primary metabolisms, like glycolysis is also interest.
Submitter: Araz Zeyniyev
Studies: Arginine and Glutamine metabolism in S. pyogenes, Determination of essential amino acids for Streptococcus pyogenes
Assays: Characterization of flux distribution of S. pyogenes M9 wild type and th..., Construction of in vivo-like buffer for S. pyogenes, Determination of essential amino acids for Streptococcus pyogenes
Here SYSMO-LAB put all there pre-liminary data files or models ordered per person and project
Submitter: Martijn Bekker
Studies: Pre-liminary data from Martijn Bekker, Pyruvate formate-lyase (PFL), allosteric regulation of pyruvate kinase
Assays: Characterization of enzymes involved in butanediol formation, Kinetic behavior of intracellular metabolites of E. faecalis upon a gluc..., Kinetic behavior of intracellular metabolites of L. lactis upon a glucos..., Pyruvate formate-lyase (PFL): literature review, structure analysis and ..., literature values for allosteric regulation of pyruvate kinase
Sucrose translocation between plant tissues is crucial for growth, development and reproduction of plants. Systemic analysis of this metabolic process and underlying regulatory processes can help to achieve better understanding of carbon distribution within the plant and the formation of phenotypic traits. Sucrose translocation from ‘source’ tissues (e.g. mesophyll) to ‘sink’ tissues (e.g. root) is tightly bound to the proton gradient across the membranes. The plant sucrose transporters are grouped ...
Division of labor by dual feedback regulators controls JAK2/STAT5 signaling over broad ligand range
Atlantic salmon is a main source of essential ω-3 long-chain polyunsaturated fatty acids (LC-PUFA) in many Western diets, especially eicosapentaenoic acid (20:5n-3, EPA) and docosahexaenoic acid (22:6n-3, DHA). However, farmed salmon meat now contains less healthy ω-3 fatty acids (FA) than before, due to the shift from marine to vegetable lipid feed sources. An important future aquaculture challenge is therefore to maintain a healthy and high EPA/DHA content when farmed salmon is fed a vegetable ...
Submitter: Jon Olav Vik
Studies: GSF1: Salmon feed-switch experiment vegetable and fish oil 2015-2016
Assays: Fatty acid contents in feed using Gas chromatography/FAME analysis, Fatty acid contents in tissues using Gas chromatography/FAME analysis, Feed switch 2015-09 Solbergstranda, pilot proteomics, Feed switch 2015-09, 2016-01 Solbergstranda, gross phenotypes, Feed switch 2015-09, 2016-01 Solbergstranda, gut microbiota composition,..., Lipidomics, Metabolomics, Overview of RNAseq datasets in GenoSysFat, RNA sequencing Feed switch- Liver and Gut
Aim: To provide quantitative data that will allow modeling of gene expression for all enzymes of redox metabolism and the pentose phosphate pathway. Modeling will be used to predict enzyme levels based on the integration of an RNA degradation model with translation and protein degradation rates.
Plan: The amounts of a protein in a cell can be determined by the rates of transcription, mRNA processing, translation, mRNA turnover and protein degradation. In trypanosomes analysis is simpler because ...